Compare commits

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47 Commits

Author SHA1 Message Date
Daniel Nelson 46db92aad3
Set release date for 1.3.3
(cherry picked from commit 75dbf2b0f8)
2017-06-28 13:06:16 -07:00
Daniel Nelson 5fcc5d1bba
Update changelog
(cherry picked from commit f2bb4acd4a)
2017-06-26 15:25:38 -07:00
Bob Shannon 2e6f7055cb
Fix panic in elasticsearch input if cannot determine master (#2954)
(cherry picked from commit a7595c918a)
2017-06-26 15:25:26 -07:00
Daniel Nelson da640a8af7
Update changelog
(cherry picked from commit e028f10586)
2017-06-23 11:06:17 -07:00
Daniel Nelson 1e7750c502
Fix bug parsing default timestamps with modified precision (#2949)
(cherry picked from commit 9276318faf)
2017-06-23 11:06:01 -07:00
Daniel Nelson 0231b3ea0a
Update changelog
(cherry picked from commit 9211985c63)
2017-06-21 12:40:01 -07:00
Daniel Nelson b0ba853395
Remove label value sanitization in prometheus output (#2939)
(cherry picked from commit 929ba0a637)
2017-06-21 12:39:53 -07:00
Daniel Nelson 9722d675bb
Update changelog
(cherry picked from commit a729a44284)
2017-06-16 13:20:43 -07:00
Daniel Nelson a3acfa8163
Allow dos line endings in tail and logparser (#2920)
Parsing dos line ending delimited line protocol is still illegal in most
cases.
(cherry picked from commit 3ecfd32df5)
2017-06-16 13:20:10 -07:00
Daniel Nelson 0f419e9a0d
Update 1.3.2 release date
(cherry picked from commit ca72df5868)
2017-06-14 12:17:44 -07:00
Daniel Nelson 958d689274
Update changelog
(cherry picked from commit ea787b83bf)
2017-06-13 18:07:59 -07:00
Daniel Nelson 2370c04dd7
Ensure prometheus metrics have same set of labels (#2857)
(cherry picked from commit 949072e8dc)
2017-06-13 18:07:34 -07:00
Daniel Nelson 4978c8ccb9
Update changelog
(cherry picked from commit 0c53de6700)
2017-06-08 16:56:10 -07:00
Daniel Nelson abe5e28575
Fix support for mongodb/leofs urls without scheme (#2900)
This was broken by changes in go 1.8 to url.Parse.  This change allows
the string but prompts the user to move to the correct url string.

(cherry picked from commit b277e6e2d7)
2017-06-08 16:55:46 -07:00
Daniel Nelson 34da5a6e45
Update changelog
(cherry picked from commit 84dbf8bb25)
2017-06-07 13:48:58 -07:00
Daniel Nelson 4de1bf29cc
Fix metric splitting edge cases (#2896)
Metrics needing one extra byte to fit the output buffer would not be split, so we would emit lines without a line ending. Metrics which overflowed by exactly one field length would be split one field too late, causing truncated fields.
(cherry picked from commit a275e6792a)
2017-06-07 13:47:58 -07:00
Daniel Nelson f23845afef
Update changelog
(cherry picked from commit a47e6e6efe)
2017-06-05 12:51:58 -07:00
Daniel Nelson 721ed8b3f2
Fix udp metric splitting (#2880)
(cherry picked from commit 5bab4616ff)
2017-06-05 12:50:59 -07:00
Daniel Nelson 385c114d00
Update release date 2017-05-31 14:53:01 -07:00
Daniel Nelson f93615672b
Generate sha256 hashes when packaging
(cherry picked from commit 0b6db905ff)
2017-05-31 12:30:51 -07:00
Daniel Nelson 444f1ba09c
Update changelog
(cherry picked from commit 9529199a44)
2017-05-30 17:41:06 -07:00
Daniel Nelson 5417a12ee3
Fix length calculation of split metric buffer (#2869)
(cherry picked from commit be03abd464)
2017-05-30 17:41:00 -07:00
Daniel Nelson f6c986b5ca
Update changelog
(cherry picked from commit 04aa732e94)
2017-05-30 11:05:56 -07:00
Steve Nardone 7f67bf593f
Fix panic in mongo input (#2848)
(cherry picked from commit e7f9db297e)
2017-05-30 11:05:28 -07:00
Daniel Nelson 7ca902f987
Update changelog
(cherry picked from commit 7d7206b3e2)
2017-05-25 16:24:46 -07:00
Daniel Nelson dc69cacaa1
Update gopsutil version
fixes #2856

(cherry picked from commit 03ca3975b5)
2017-05-25 16:24:33 -07:00
Daniel Nelson 29671154bc
Update changelog
(cherry picked from commit e1088b9eee)
2017-05-25 13:39:55 -07:00
Daniel Nelson 4f8341670e
Fix influxdb output database quoting (#2851)
(cherry picked from commit f47924ffc5)
2017-05-25 13:27:16 -07:00
Daniel Nelson 99edca80ef
Handle process termination during read from /proc (#2816)
Fixes #2815.
(cherry picked from commit c53d9fa9b7)
2017-05-18 18:03:54 -07:00
Daniel Nelson 44654e011c
Reuse transports in input plugins (#2782)
(cherry picked from commit a47aa0dcc2)
2017-05-18 18:02:09 -07:00
Daniel Nelson 389439111b
Fixed sqlserver input to work with case sensitive server collation. (#2749)
Fixed a problem with sqlserver input where database properties are not returned by Telegraf when SQL Server has been set up with a case sensitive server-level collation.

* Added bugfix entry to CHANGELOG.md for sqlserver collation input fix.

(cherry picked from commit e2983383e4)
2017-05-18 17:59:14 -07:00
Daniel Nelson 2bc5594b44
Add release date for 1.3.0 2017-05-15 20:05:22 -07:00
Daniel Nelson 99b53c8745
Add back the changelog entry for 2141 2017-05-15 12:56:11 -07:00
Daniel Nelson 27b89dff48
Only split metrics if there is an udp output (#2799) 2017-05-12 15:34:31 -07:00
Sebastian Borza b16eb6eae6 split metrics based on UDPPayload size (#2795) 2017-05-12 14:42:18 -07:00
Daniel Nelson feaf76913b
Add missing plugins to README 2017-05-09 13:51:26 -07:00
Daniel Nelson ff704fbe0d
Add SLES11 support to rpm package (#2768) 2017-05-05 14:30:31 -07:00
Sébastien ebef47f56a
fix systemd path in order to add compatibility with SuSe (#2499) 2017-05-05 14:30:24 -07:00
Daniel Nelson 18fd2d987d
Return an error if no valid patterns. (#2753) 2017-05-02 14:55:16 -07:00
Alexander Blagoev 5e70cb3e44
Improve redis input documentation (#2708) 2017-05-02 14:12:09 -07:00
Patrick Hemmer ce203dc687
fix close on closed socket_writer (#2748) 2017-05-02 11:07:58 -07:00
Daniel Nelson b0a2e8e1bd
Add initial documentation for rabbitmq input. (#2745) 2017-05-01 18:57:19 -07:00
Daniel Nelson 499495f844
Don't log error creating database on connect (#2740)
closes #2739
2017-04-28 15:59:28 -07:00
Daniel Nelson 20ab8fb2c3
Update telegraf.conf 2017-04-28 13:49:09 -07:00
Daniel Nelson bc474d3a53
Clarify retention policy option for influxdb output
closes #2696
2017-04-28 13:48:24 -07:00
Daniel Nelson 547be87d79
Clarify retention policy option for influxdb output
closes #2696
2017-04-28 13:43:00 -07:00
Daniel Nelson 619d4d5d29
Use go 1.8.1 for CI and Release builds (#2732) 2017-04-27 16:22:41 -07:00
1304 changed files with 27453 additions and 228667 deletions

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@ -1,219 +0,0 @@
---
defaults:
defaults: &defaults
working_directory: '/go/src/github.com/influxdata/telegraf'
environment:
GOFLAGS: -p=8
go-1_13: &go-1_13
docker:
- image: 'quay.io/influxdb/telegraf-ci:1.13.11'
go-1_14: &go-1_14
docker:
- image: 'quay.io/influxdb/telegraf-ci:1.14.3'
mac: &mac
macos:
xcode: 11.3.1
working_directory: '~/go/src/github.com/influxdata/telegraf'
environment:
HOMEBREW_NO_AUTO_UPDATE: 1
GOFLAGS: -p=8
version: 2
jobs:
deps:
<<: [ *defaults, *go-1_14 ]
steps:
- checkout
- restore_cache:
key: go-mod-v1-{{ checksum "go.sum" }}
- run: 'make deps'
- run: 'make tidy'
- save_cache:
name: 'go module cache'
key: go-mod-v1-{{ checksum "go.sum" }}
paths:
- '/go/pkg/mod'
- persist_to_workspace:
root: '/go'
paths:
- '*'
macdeps:
<<: [ *mac ]
steps:
- checkout
- restore_cache:
key: mac-go-mod-v1-{{ checksum "go.sum" }}
- run: 'brew install go@1.13'
- run: 'make deps'
- run: 'make tidy'
- save_cache:
name: 'go module cache'
key: mac-go-mod-v1-{{ checksum "go.sum" }}
paths:
- '~/go/pkg/mod'
- '/usr/local/Cellar/go'
- '/usr/local/bin/go'
- '/usr/local/bin/gofmt'
- persist_to_workspace:
root: '/'
paths:
- 'usr/local/bin/go'
- 'usr/local/Cellar/go'
- 'usr/local/bin/gofmt'
- 'Users/distiller/go'
test-go-1.13:
<<: [ *defaults, *go-1_13 ]
steps:
- attach_workspace:
at: '/go'
- run: 'make'
- run: 'make test'
test-go-1.13-386:
<<: [ *defaults, *go-1_13 ]
steps:
- attach_workspace:
at: '/go'
- run: 'GOARCH=386 make'
- run: 'GOARCH=386 make test'
test-go-1.14:
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go'
- run: 'make'
- run: 'make check'
- run: 'make check-deps'
- run: 'make test'
test-go-1.14-386:
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go'
- run: 'GOARCH=386 make'
- run: 'GOARCH=386 make check'
- run: 'GOARCH=386 make test'
test-go-1.13-darwin:
<<: [ *mac ]
steps:
- attach_workspace:
at: '/'
- run: 'make'
- run: 'make check'
- run: 'make test'
package:
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go'
- run: 'make package'
- store_artifacts:
path: './build'
destination: 'build'
release:
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go'
- run: 'make package-release'
- store_artifacts:
path: './build'
destination: 'build'
nightly:
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go'
- run: 'make package-nightly'
- store_artifacts:
path: './build'
destination: 'build'
workflows:
version: 2
check:
jobs:
- 'macdeps':
filters:
tags:
only: /.*/
- 'deps':
filters:
tags:
only: /.*/
- 'test-go-1.13':
requires:
- 'deps'
filters:
tags:
only: /.*/
- 'test-go-1.13-386':
requires:
- 'deps'
filters:
tags:
only: /.*/
- 'test-go-1.14':
requires:
- 'deps'
filters:
tags:
only: /.*/
- 'test-go-1.14-386':
requires:
- 'deps'
filters:
tags:
only: /.*/
- 'test-go-1.13-darwin':
requires:
- 'macdeps'
filters:
tags: # only runs on tags if you specify this filter
only: /.*/
- 'package':
requires:
- 'test-go-1.13'
- 'test-go-1.13-386'
- 'test-go-1.14'
- 'test-go-1.14-386'
- 'release':
requires:
- 'test-go-1.13'
- 'test-go-1.13-386'
- 'test-go-1.14'
- 'test-go-1.14-386'
filters:
tags:
only: /.*/
branches:
ignore: /.*/
nightly:
jobs:
- 'deps'
- 'test-go-1.13':
requires:
- 'deps'
- 'test-go-1.13-386':
requires:
- 'deps'
- 'test-go-1.14':
requires:
- 'deps'
- 'test-go-1.14-386':
requires:
- 'deps'
- 'nightly':
requires:
- 'test-go-1.13'
- 'test-go-1.13-386'
- 'test-go-1.14'
- 'test-go-1.14-386'
triggers:
- schedule:
cron: "0 7 * * *"
filters:
branches:
only:
- master

1
.gitattributes vendored
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@ -1,5 +1,4 @@
CHANGELOG.md merge=union
README.md merge=union
go.sum merge=union
plugins/inputs/all/all.go merge=union
plugins/outputs/all/all.go merge=union

44
.github/ISSUE_TEMPLATE.md vendored Normal file
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## Directions
GitHub Issues are reserved for actionable bug reports and feature requests.
General questions should be asked at the [InfluxData Community](https://community.influxdata.com) site.
Before opening an issue, search for similar bug reports or feature requests on GitHub Issues.
If no similar issue can be found, fill out either the "Bug Report" or the "Feature Request" section below.
Erase the other section and everything on and above this line.
*Please note, the quickest way to fix a bug is to open a Pull Request.*
## Bug report
### Relevant telegraf.conf:
### System info:
[Include Telegraf version, operating system name, and other relevant details]
### Steps to reproduce:
1. ...
2. ...
### Expected behavior:
### Actual behavior:
### Additional info:
[Include gist of relevant config, logs, etc.]
## Feature Request
Opening a feature request kicks off a discussion.
### Proposal:
### Current behavior:
### Desired behavior:
### Use case: [Why is this important (helps with prioritizing requests)]

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@ -1,45 +0,0 @@
---
name: Bug report
about: Create a report to help us improve
---
<!--
Please redirect any questions about Telegraf usage to the InfluxData Community
site: https://community.influxdata.com
Check the documentation for the related plugin including the troubleshooting
section if available.
-->
### Relevant telegraf.conf:
<!-- Place config in the toml code section. -->
```toml
```
### System info:
<!-- Include Telegraf version, operating system, and other relevant details -->
### Docker
<!-- If your bug involves third party dependencies or services, it can be very helpful to provide a Dockerfile or docker-compose.yml that reproduces the environment you're testing against -->
### Steps to reproduce:
<!-- Describe the steps to reproduce the bug. -->
1. ...
2. ...
### Expected behavior:
<!-- Describe what you expected to happen when you performed the above steps. -->
### Actual behavior:
<!-- Describe what actually happened when you performed the above steps. -->
### Additional info:
<!-- Include gist of relevant config, logs, etc. -->

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---
name: Feature request
about: Suggest an idea for this project
---
## Feature Request
Opening a feature request kicks off a discussion.
### Proposal:
### Current behavior:
### Desired behavior:
### Use case: <!-- [Why is this important (helps with prioritizing requests)] -->

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@ -1,5 +1,5 @@
### Required for all PRs:
- [ ] Signed [CLA](https://influxdata.com/community/cla/).
- [ ] Associated README.md updated.
- [ ] Has appropriate unit tests.
- [ ] CHANGELOG.md updated (we recommend not updating this until the PR has been approved by a maintainer)
- [ ] Sign [CLA](https://influxdata.com/community/cla/) (if not already signed)
- [ ] README.md updated (if adding a new plugin)

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.gitignore vendored
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/build
build
tivan
.vagrant
/telegraf
/telegraf.exe
/telegraf.gz
/vendor
.idea
*~
*#

File diff suppressed because it is too large Load Diff

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### Contributing
## Steps for Contributing:
1. [Sign the CLA][cla].
1. Open a [new issue][] to discuss the changes you would like to make. This is
not strictly required but it may help reduce the amount of rework you need
to do later.
1. Make changes or write plugin using the guidelines in the following
documents:
- [Input Plugins][inputs]
- [Processor Plugins][processors]
- [Aggregator Plugins][aggregators]
- [Output Plugins][outputs]
1. Ensure you have added proper unit tests and documentation.
1. Open a new [pull request][].
1. [Sign the CLA](http://influxdb.com/community/cla.html)
1. Make changes or write plugin (see below for details)
1. Add your plugin to one of: `plugins/{inputs,outputs,aggregators,processors}/all/all.go`
1. If your plugin requires a new Go package,
[add it](https://github.com/influxdata/telegraf/blob/master/CONTRIBUTING.md#adding-a-dependency)
1. Write a README for your plugin, if it's an input plugin, it should be structured
like the [input example here](https://github.com/influxdata/telegraf/blob/master/plugins/inputs/EXAMPLE_README.md).
Output plugins READMEs are less structured,
but any information you can provide on how the data will look is appreciated.
See the [OpenTSDB output](https://github.com/influxdata/telegraf/tree/master/plugins/outputs/opentsdb)
for a good example.
1. **Optional:** Help users of your plugin by including example queries for populating dashboards. Include these sample queries in the `README.md` for the plugin.
1. **Optional:** Write a [tickscript](https://docs.influxdata.com/kapacitor/v1.0/tick/syntax/) for your plugin and add it to [Kapacitor](https://github.com/influxdata/kapacitor/tree/master/examples/telegraf). Or mention @jackzampolin in a PR comment with some common queries that you would want to alert on and he will write one for you.
#### Contributing an External Plugin *(experimental)*
Input plugins written for internal Telegraf can be run as externally-compiled plugins through the [Execd Input Plugin](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/execd) without having to change the plugin code.
Follow the guidelines of how to integrate your plugin with the [Execd Go Shim](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/execd/shim) to easily compile it as a separate app and run it from the inputs.execd plugin.
#### Security Vulnerability Reporting
InfluxData takes security and our users' trust very seriously. If you believe you have found a security issue in any of our
open source projects, please responsibly disclose it by contacting security@influxdata.com. More details about
security vulnerability reporting,
including our GPG key, [can be found here](https://www.influxdata.com/how-to-report-security-vulnerabilities/).
### GoDoc
## GoDoc
Public interfaces for inputs, outputs, processors, aggregators, metrics,
and the accumulator can be found in the GoDoc:
and the accumulator can be found on the GoDoc
[![GoDoc](https://godoc.org/github.com/influxdata/telegraf?status.svg)](https://godoc.org/github.com/influxdata/telegraf)
### Common development tasks
## Sign the CLA
**Adding a dependency:**
Before we can merge a pull request, you will need to sign the CLA,
which can be found [on our website](http://influxdb.com/community/cla.html)
Telegraf uses Go modules. Assuming you can already build the project, run this in the telegraf directory:
## Adding a dependency
1. `go get github.com/[dependency]/[new-package]`
Assuming you can already build the project, run these in the telegraf directory:
**Unit Tests:**
1. `go get github.com/sparrc/gdm`
1. `gdm restore`
1. `GOOS=linux gdm save`
Before opening a pull request you should run the linter checks and
the short tests.
## Input Plugins
```
make check
make test
This section is for developers who want to create new collection inputs.
Telegraf is entirely plugin driven. This interface allows for operators to
pick and chose what is gathered and makes it easy for developers
to create new ways of generating metrics.
Plugin authorship is kept as simple as possible to promote people to develop
and submit new inputs.
### Input Plugin Guidelines
* A plugin must conform to the [`telegraf.Input`](https://godoc.org/github.com/influxdata/telegraf#Input) interface.
* Input Plugins should call `inputs.Add` in their `init` function to register themselves.
See below for a quick example.
* Input Plugins must be added to the
`github.com/influxdata/telegraf/plugins/inputs/all/all.go` file.
* The `SampleConfig` function should return valid toml that describes how the
plugin can be configured. This is include in `telegraf -sample-config`.
* The `Description` function should say in one line what this plugin does.
Let's say you've written a plugin that emits metrics about processes on the
current host.
### Input Plugin Example
```go
package simple
// simple.go
import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/inputs"
)
type Simple struct {
Ok bool
}
func (s *Simple) Description() string {
return "a demo plugin"
}
func (s *Simple) SampleConfig() string {
return "ok = true # indicate if everything is fine"
}
func (s *Simple) Gather(acc telegraf.Accumulator) error {
if s.Ok {
acc.AddFields("state", map[string]interface{}{"value": "pretty good"}, nil)
} else {
acc.AddFields("state", map[string]interface{}{"value": "not great"}, nil)
}
return nil
}
func init() {
inputs.Add("simple", func() telegraf.Input { return &Simple{} })
}
```
**Execute integration tests:**
## Adding Typed Metrics
(Optional)
In addition the the `AddFields` function, the accumulator also supports an
`AddGauge` and `AddCounter` function. These functions are for adding _typed_
metrics. Metric types are ignored for the InfluxDB output, but can be used
for other outputs, such as [prometheus](https://prometheus.io/docs/concepts/metric_types/).
Running the integration tests requires several docker containers to be
running. You can start the containers with:
```
docker-compose up
## Input Plugins Accepting Arbitrary Data Formats
Some input plugins (such as
[exec](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/exec))
accept arbitrary input data formats. An overview of these data formats can
be found
[here](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md).
In order to enable this, you must specify a `SetParser(parser parsers.Parser)`
function on the plugin object (see the exec plugin for an example), as well as
defining `parser` as a field of the object.
You can then utilize the parser internally in your plugin, parsing data as you
see fit. Telegraf's configuration layer will take care of instantiating and
creating the `Parser` object.
You should also add the following to your SampleConfig() return:
```toml
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "influx"
```
And run the full test suite with:
```
make test-all
Below is the `Parser` interface.
```go
// Parser is an interface defining functions that a parser plugin must satisfy.
type Parser interface {
// Parse takes a byte buffer separated by newlines
// ie, `cpu.usage.idle 90\ncpu.usage.busy 10`
// and parses it into telegraf metrics
Parse(buf []byte) ([]telegraf.Metric, error)
// ParseLine takes a single string metric
// ie, "cpu.usage.idle 90"
// and parses it into a telegraf metric.
ParseLine(line string) (telegraf.Metric, error)
}
```
Use `make docker-kill` to stop the containers.
And you can view the code
[here.](https://github.com/influxdata/telegraf/blob/henrypfhu-master/plugins/parsers/registry.go)
## Service Input Plugins
[cla]: https://www.influxdata.com/legal/cla/
[new issue]: https://github.com/influxdata/telegraf/issues/new/choose
[pull request]: https://github.com/influxdata/telegraf/compare
[inputs]: /docs/INPUTS.md
[processors]: /docs/PROCESSORS.md
[aggregators]: /docs/AGGREGATORS.md
[outputs]: /docs/OUTPUTS.md
This section is for developers who want to create new "service" collection
inputs. A service plugin differs from a regular plugin in that it operates
a background service while Telegraf is running. One example would be the `statsd`
plugin, which operates a statsd server.
Service Input Plugins are substantially more complicated than a regular plugin, as they
will require threads and locks to verify data integrity. Service Input Plugins should
be avoided unless there is no way to create their behavior with a regular plugin.
Their interface is quite similar to a regular plugin, with the addition of `Start()`
and `Stop()` methods.
### Service Plugin Guidelines
* Same as the `Plugin` guidelines, except that they must conform to the
`inputs.ServiceInput` interface.
## Output Plugins
This section is for developers who want to create a new output sink. Outputs
are created in a similar manner as collection plugins, and their interface has
similar constructs.
### Output Plugin Guidelines
* An output must conform to the [`telegraf.Output`](https://godoc.org/github.com/influxdata/telegraf#Output) interface.
* Outputs should call `outputs.Add` in their `init` function to register themselves.
See below for a quick example.
* To be available within Telegraf itself, plugins must add themselves to the
`github.com/influxdata/telegraf/plugins/outputs/all/all.go` file.
* The `SampleConfig` function should return valid toml that describes how the
output can be configured. This is include in `telegraf -sample-config`.
* The `Description` function should say in one line what this output does.
### Output Example
```go
package simpleoutput
// simpleoutput.go
import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/outputs"
)
type Simple struct {
Ok bool
}
func (s *Simple) Description() string {
return "a demo output"
}
func (s *Simple) SampleConfig() string {
return "url = localhost"
}
func (s *Simple) Connect() error {
// Make a connection to the URL here
return nil
}
func (s *Simple) Close() error {
// Close connection to the URL here
return nil
}
func (s *Simple) Write(metrics []telegraf.Metric) error {
for _, metric := range metrics {
// write `metric` to the output sink here
}
return nil
}
func init() {
outputs.Add("simpleoutput", func() telegraf.Output { return &Simple{} })
}
```
## Output Plugins Writing Arbitrary Data Formats
Some output plugins (such as
[file](https://github.com/influxdata/telegraf/tree/master/plugins/outputs/file))
can write arbitrary output data formats. An overview of these data formats can
be found
[here](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md).
In order to enable this, you must specify a
`SetSerializer(serializer serializers.Serializer)`
function on the plugin object (see the file plugin for an example), as well as
defining `serializer` as a field of the object.
You can then utilize the serializer internally in your plugin, serializing data
before it's written. Telegraf's configuration layer will take care of
instantiating and creating the `Serializer` object.
You should also add the following to your SampleConfig() return:
```toml
## Data format to output.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
```
## Service Output Plugins
This section is for developers who want to create new "service" output. A
service output differs from a regular output in that it operates a background service
while Telegraf is running. One example would be the `prometheus_client` output,
which operates an HTTP server.
Their interface is quite similar to a regular output, with the addition of `Start()`
and `Stop()` methods.
### Service Output Guidelines
* Same as the `Output` guidelines, except that they must conform to the
`output.ServiceOutput` interface.
## Processor Plugins
This section is for developers who want to create a new processor plugin.
### Processor Plugin Guidelines
* A processor must conform to the [`telegraf.Processor`](https://godoc.org/github.com/influxdata/telegraf#Processor) interface.
* Processors should call `processors.Add` in their `init` function to register themselves.
See below for a quick example.
* To be available within Telegraf itself, plugins must add themselves to the
`github.com/influxdata/telegraf/plugins/processors/all/all.go` file.
* The `SampleConfig` function should return valid toml that describes how the
processor can be configured. This is include in `telegraf -sample-config`.
* The `Description` function should say in one line what this processor does.
### Processor Example
```go
package printer
// printer.go
import (
"fmt"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/processors"
)
type Printer struct {
}
var sampleConfig = `
`
func (p *Printer) SampleConfig() string {
return sampleConfig
}
func (p *Printer) Description() string {
return "Print all metrics that pass through this filter."
}
func (p *Printer) Apply(in ...telegraf.Metric) []telegraf.Metric {
for _, metric := range in {
fmt.Println(metric.String())
}
return in
}
func init() {
processors.Add("printer", func() telegraf.Processor {
return &Printer{}
})
}
```
## Aggregator Plugins
This section is for developers who want to create a new aggregator plugin.
### Aggregator Plugin Guidelines
* A aggregator must conform to the [`telegraf.Aggregator`](https://godoc.org/github.com/influxdata/telegraf#Aggregator) interface.
* Aggregators should call `aggregators.Add` in their `init` function to register themselves.
See below for a quick example.
* To be available within Telegraf itself, plugins must add themselves to the
`github.com/influxdata/telegraf/plugins/aggregators/all/all.go` file.
* The `SampleConfig` function should return valid toml that describes how the
aggregator can be configured. This is include in `telegraf -sample-config`.
* The `Description` function should say in one line what this aggregator does.
* The Aggregator plugin will need to keep caches of metrics that have passed
through it. This should be done using the builtin `HashID()` function of each
metric.
* When the `Reset()` function is called, all caches should be cleared.
### Aggregator Example
```go
package min
// min.go
import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/aggregators"
)
type Min struct {
// caches for metric fields, names, and tags
fieldCache map[uint64]map[string]float64
nameCache map[uint64]string
tagCache map[uint64]map[string]string
}
func NewMin() telegraf.Aggregator {
m := &Min{}
m.Reset()
return m
}
var sampleConfig = `
## period is the flush & clear interval of the aggregator.
period = "30s"
## If true drop_original will drop the original metrics and
## only send aggregates.
drop_original = false
`
func (m *Min) SampleConfig() string {
return sampleConfig
}
func (m *Min) Description() string {
return "Keep the aggregate min of each metric passing through."
}
func (m *Min) Add(in telegraf.Metric) {
id := in.HashID()
if _, ok := m.nameCache[id]; !ok {
// hit an uncached metric, create caches for first time:
m.nameCache[id] = in.Name()
m.tagCache[id] = in.Tags()
m.fieldCache[id] = make(map[string]float64)
for k, v := range in.Fields() {
if fv, ok := convert(v); ok {
m.fieldCache[id][k] = fv
}
}
} else {
for k, v := range in.Fields() {
if fv, ok := convert(v); ok {
if _, ok := m.fieldCache[id][k]; !ok {
// hit an uncached field of a cached metric
m.fieldCache[id][k] = fv
continue
}
if fv < m.fieldCache[id][k] {
// set new minimum
m.fieldCache[id][k] = fv
}
}
}
}
}
func (m *Min) Push(acc telegraf.Accumulator) {
for id, _ := range m.nameCache {
fields := map[string]interface{}{}
for k, v := range m.fieldCache[id] {
fields[k+"_min"] = v
}
acc.AddFields(m.nameCache[id], fields, m.tagCache[id])
}
}
func (m *Min) Reset() {
m.fieldCache = make(map[uint64]map[string]float64)
m.nameCache = make(map[uint64]string)
m.tagCache = make(map[uint64]map[string]string)
}
func convert(in interface{}) (float64, bool) {
switch v := in.(type) {
case float64:
return v, true
case int64:
return float64(v), true
default:
return 0, false
}
}
func init() {
aggregators.Add("min", func() telegraf.Aggregator {
return NewMin()
})
}
```
## Unit Tests
### Execute short tests
execute `make test-short`
### Execute long tests
As Telegraf collects metrics from several third-party services it becomes a
difficult task to mock each service as some of them have complicated protocols
which would take some time to replicate.
To overcome this situation we've decided to use docker containers to provide a
fast and reproducible environment to test those services which require it.
For other situations
(i.e: https://github.com/influxdata/telegraf/blob/master/plugins/inputs/redis/redis_test.go)
a simple mock will suffice.
To execute Telegraf tests follow these simple steps:
- Install docker following [these](https://docs.docker.com/installation/)
instructions
- execute `make test`
### Unit test troubleshooting
Try cleaning up your test environment by executing `make docker-kill` and
re-running

View File

@ -1,16 +0,0 @@
# Copy of scripts/stretch.docker
FROM golang:1.13.8 as builder
WORKDIR /go/src/github.com/influxdata/telegraf
COPY . /go/src/github.com/influxdata/telegraf
RUN make go-install
FROM buildpack-deps:stretch-curl
COPY --from=builder /go/bin/* /usr/bin/
COPY etc/telegraf.conf /etc/telegraf/telegraf.conf
EXPOSE 8125/udp 8092/udp 8094
COPY scripts/docker-entrypoint.sh /entrypoint.sh
ENTRYPOINT ["/entrypoint.sh"]
CMD ["telegraf"]

View File

@ -1,9 +0,0 @@
# External Plugins
This is a list of plugins that can be compiled outside of Telegraf and used via the execd input.
Pull requests welcome.
## Inputs
- [rand](https://github.com/ssoroka/rand) - Generate random numbers
- [twitter](https://github.com/inabagumi/twitter-telegraf-plugin) - Gather account information from Twitter accounts

65
Godeps Normal file
View File

@ -0,0 +1,65 @@
collectd.org 2ce144541b8903101fb8f1483cc0497a68798122
github.com/Shopify/sarama 574d3147eee384229bf96a5d12c207fe7b5234f3
github.com/Sirupsen/logrus 61e43dc76f7ee59a82bdf3d71033dc12bea4c77d
github.com/aerospike/aerospike-client-go 95e1ad7791bdbca44707fedbb29be42024900d9c
github.com/amir/raidman c74861fe6a7bb8ede0a010ce4485bdbb4fc4c985
github.com/aws/aws-sdk-go 7524cb911daddd6e5c9195def8e59ae892bef8d9
github.com/beorn7/perks 4c0e84591b9aa9e6dcfdf3e020114cd81f89d5f9
github.com/cenkalti/backoff b02f2bbce11d7ea6b97f282ef1771b0fe2f65ef3
github.com/couchbase/go-couchbase bfe555a140d53dc1adf390f1a1d4b0fd4ceadb28
github.com/couchbase/gomemcached 4a25d2f4e1dea9ea7dd76dfd943407abf9b07d29
github.com/couchbase/goutils 5823a0cbaaa9008406021dc5daf80125ea30bba6
github.com/davecgh/go-spew 346938d642f2ec3594ed81d874461961cd0faa76
github.com/docker/docker b89aff1afa1f61993ab2ba18fd62d9375a195f5d
github.com/eapache/go-resiliency b86b1ec0dd4209a588dc1285cdd471e73525c0b3
github.com/eapache/go-xerial-snappy bb955e01b9346ac19dc29eb16586c90ded99a98c
github.com/eapache/queue 44cc805cf13205b55f69e14bcb69867d1ae92f98
github.com/eclipse/paho.mqtt.golang d4f545eb108a2d19f9b1a735689dbfb719bc21fb
github.com/go-sql-driver/mysql 2e00b5cd70399450106cec6431c2e2ce3cae5034
github.com/gobwas/glob bea32b9cd2d6f55753d94a28e959b13f0244797a
github.com/golang/protobuf 8ee79997227bf9b34611aee7946ae64735e6fd93
github.com/golang/snappy 7db9049039a047d955fe8c19b83c8ff5abd765c7
github.com/gorilla/mux 392c28fe23e1c45ddba891b0320b3b5df220beea
github.com/hailocab/go-hostpool e80d13ce29ede4452c43dea11e79b9bc8a15b478
github.com/hashicorp/consul 63d2fc68239b996096a1c55a0d4b400ea4c2583f
github.com/influxdata/tail a395bf99fe07c233f41fba0735fa2b13b58588ea
github.com/influxdata/toml 5d1d907f22ead1cd47adde17ceec5bda9cacaf8f
github.com/influxdata/wlog 7c63b0a71ef8300adc255344d275e10e5c3a71ec
github.com/jackc/pgx b84338d7d62598f75859b2b146d830b22f1b9ec8
github.com/kardianos/osext c2c54e542fb797ad986b31721e1baedf214ca413
github.com/kardianos/service 6d3a0ee7d3425d9d835debc51a0ca1ffa28f4893
github.com/kballard/go-shellquote d8ec1a69a250a17bb0e419c386eac1f3711dc142
github.com/klauspost/crc32 cb6bfca970f6908083f26f39a79009d608efd5cd
github.com/matttproud/golang_protobuf_extensions c12348ce28de40eed0136aa2b644d0ee0650e56c
github.com/miekg/dns 99f84ae56e75126dd77e5de4fae2ea034a468ca1
github.com/naoina/go-stringutil 6b638e95a32d0c1131db0e7fe83775cbea4a0d0b
github.com/nats-io/go-nats ea9585611a4ab58a205b9b125ebd74c389a6b898
github.com/nats-io/nats ea9585611a4ab58a205b9b125ebd74c389a6b898
github.com/nats-io/nuid 289cccf02c178dc782430d534e3c1f5b72af807f
github.com/nsqio/go-nsq a53d495e81424aaf7a7665a9d32a97715c40e953
github.com/pierrec/lz4 5c9560bfa9ace2bf86080bf40d46b34ae44604df
github.com/pierrec/xxHash 5a004441f897722c627870a981d02b29924215fa
github.com/prometheus/client_golang c317fb74746eac4fc65fe3909195f4cf67c5562a
github.com/prometheus/client_model fa8ad6fec33561be4280a8f0514318c79d7f6cb6
github.com/prometheus/common dd2f054febf4a6c00f2343686efb775948a8bff4
github.com/prometheus/procfs 1878d9fbb537119d24b21ca07effd591627cd160
github.com/rcrowley/go-metrics 1f30fe9094a513ce4c700b9a54458bbb0c96996c
github.com/samuel/go-zookeeper 1d7be4effb13d2d908342d349d71a284a7542693
github.com/satori/go.uuid 5bf94b69c6b68ee1b541973bb8e1144db23a194b
github.com/shirou/gopsutil 9a4a9167ad3b4355dbf1c2c7a0f5f0d3fb1e9ab9
github.com/soniah/gosnmp 5ad50dc75ab389f8a1c9f8a67d3a1cd85f67ed15
github.com/streadway/amqp 63795daa9a446c920826655f26ba31c81c860fd6
github.com/stretchr/testify 4d4bfba8f1d1027c4fdbe371823030df51419987
github.com/vjeantet/grok d73e972b60935c7fec0b4ffbc904ed39ecaf7efe
github.com/wvanbergen/kafka bc265fedb9ff5b5c5d3c0fdcef4a819b3523d3ee
github.com/wvanbergen/kazoo-go 968957352185472eacb69215fa3dbfcfdbac1096
github.com/yuin/gopher-lua 66c871e454fcf10251c61bf8eff02d0978cae75a
github.com/zensqlmonitor/go-mssqldb ffe5510c6fa5e15e6d983210ab501c815b56b363
golang.org/x/crypto dc137beb6cce2043eb6b5f223ab8bf51c32459f4
golang.org/x/net f2499483f923065a842d38eb4c7f1927e6fc6e6d
golang.org/x/text 506f9d5c962f284575e88337e7d9296d27e729d3
gopkg.in/dancannon/gorethink.v1 edc7a6a68e2d8015f5ffe1b2560eed989f8a45be
gopkg.in/fatih/pool.v2 6e328e67893eb46323ad06f0e92cb9536babbabc
gopkg.in/mgo.v2 3f83fa5005286a7fe593b055f0d7771a7dce4655
gopkg.in/olivere/elastic.v5 ee3ebceab960cf68ab9a89ee6d78c031ef5b4a4e
gopkg.in/yaml.v2 4c78c975fe7c825c6d1466c42be594d1d6f3aba6

11
Godeps_windows Normal file
View File

@ -0,0 +1,11 @@
github.com/Microsoft/go-winio ce2922f643c8fd76b46cadc7f404a06282678b34
github.com/StackExchange/wmi f3e2bae1e0cb5aef83e319133eabfee30013a4a5
github.com/go-ole/go-ole be49f7c07711fcb603cff39e1de7c67926dc0ba7
github.com/shirou/w32 3c9377fc6748f222729a8270fe2775d149a249ad
golang.org/x/sys a646d33e2ee3172a661fc09bca23bb4889a41bc8
github.com/go-ini/ini 9144852efba7c4daf409943ee90767da62d55438
github.com/jmespath/go-jmespath bd40a432e4c76585ef6b72d3fd96fb9b6dc7b68d
github.com/pmezard/go-difflib/difflib 792786c7400a136282c1664665ae0a8db921c6c2
github.com/stretchr/objx 1a9d0bb9f541897e62256577b352fdbc1fb4fd94
gopkg.in/fsnotify.v1 a8a77c9133d2d6fd8334f3260d06f60e8d80a5fb
gopkg.in/tomb.v1 dd632973f1e7218eb1089048e0798ec9ae7dceb8

View File

@ -1,6 +1,6 @@
The MIT License (MIT)
Copyright (c) 2015-2019 InfluxData Inc.
Copyright (c) 2015 InfluxDB
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

223
Makefile
View File

@ -1,155 +1,98 @@
ifeq ($(OS), Windows_NT)
VERSION := $(shell git describe --exact-match --tags 2>nul)
HOME := $(HOMEPATH)
CGO_ENABLED ?= 0
export CGO_ENABLED
else
VERSION := $(shell git describe --exact-match --tags 2>/dev/null)
endif
PREFIX := /usr/local
BRANCH := $(shell git rev-parse --abbrev-ref HEAD)
COMMIT := $(shell git rev-parse --short HEAD)
GOFILES ?= $(shell git ls-files '*.go')
GOFMT ?= $(shell gofmt -l -s $(filter-out plugins/parsers/influx/machine.go, $(GOFILES)))
BUILDFLAGS ?=
VERSION := $(shell sh -c 'git describe --always --tags')
BRANCH := $(shell sh -c 'git rev-parse --abbrev-ref HEAD')
COMMIT := $(shell sh -c 'git rev-parse --short HEAD')
ifdef GOBIN
PATH := $(GOBIN):$(PATH)
else
PATH := $(subst :,/bin:,$(shell go env GOPATH))/bin:$(PATH)
PATH := $(subst :,/bin:,$(GOPATH))/bin:$(PATH)
endif
LDFLAGS := $(LDFLAGS) -X main.commit=$(COMMIT) -X main.branch=$(BRANCH)
ifdef VERSION
LDFLAGS += -X main.version=$(VERSION)
endif
# Standard Telegraf build
default: prepare build
.PHONY: all
all:
@$(MAKE) --no-print-directory deps
@$(MAKE) --no-print-directory telegraf
# Windows build
windows: prepare-windows build-windows
.PHONY: deps
deps:
go mod download
# Only run the build (no dependency grabbing)
build:
go install -ldflags \
"-X main.version=$(VERSION) -X main.commit=$(COMMIT) -X main.branch=$(BRANCH)" ./...
.PHONY: telegraf
telegraf:
go build -ldflags "$(LDFLAGS)" ./cmd/telegraf
build-windows:
GOOS=windows GOARCH=amd64 go build -o telegraf.exe -ldflags \
"-X main.version=$(VERSION) -X main.commit=$(COMMIT) -X main.branch=$(BRANCH)" \
./cmd/telegraf/telegraf.go
.PHONY: go-install
go-install:
go install -ldflags "-w -s $(LDFLAGS)" ./cmd/telegraf
build-for-docker:
CGO_ENABLED=0 GOOS=linux go build -installsuffix cgo -o telegraf -ldflags \
"-s -X main.version=$(VERSION) -X main.commit=$(COMMIT) -X main.branch=$(BRANCH)" \
./cmd/telegraf/telegraf.go
.PHONY: install
install: telegraf
mkdir -p $(DESTDIR)$(PREFIX)/bin/
cp telegraf $(DESTDIR)$(PREFIX)/bin/
# run package script
package:
./scripts/build.py --package --version="$(VERSION)" --platform=linux --arch=all --upload
.PHONY: test
test:
# Get dependencies and use gdm to checkout changesets
prepare:
go get github.com/sparrc/gdm
gdm restore
# Use the windows godeps file to prepare dependencies
prepare-windows:
go get github.com/sparrc/gdm
gdm restore
gdm restore -f Godeps_windows
# Run all docker containers necessary for unit tests
docker-run:
docker run --name aerospike -p "3000:3000" -d aerospike/aerospike-server:3.9.0
docker run --name kafka \
-e ADVERTISED_HOST=localhost \
-e ADVERTISED_PORT=9092 \
-p "2181:2181" -p "9092:9092" \
-d spotify/kafka
docker run --name elasticsearch -p "9200:9200" -p "9300:9300" -d elasticsearch:5
docker run --name mysql -p "3306:3306" -e MYSQL_ALLOW_EMPTY_PASSWORD=yes -d mysql
docker run --name memcached -p "11211:11211" -d memcached
docker run --name postgres -p "5432:5432" -d postgres
docker run --name rabbitmq -p "15672:15672" -p "5672:5672" -d rabbitmq:3-management
docker run --name redis -p "6379:6379" -d redis
docker run --name nsq -p "4150:4150" -d nsqio/nsq /nsqd
docker run --name mqtt -p "1883:1883" -d ncarlier/mqtt
docker run --name riemann -p "5555:5555" -d stealthly/docker-riemann
docker run --name nats -p "4222:4222" -d nats
# Run docker containers necessary for CircleCI unit tests
docker-run-circle:
docker run --name aerospike -p "3000:3000" -d aerospike/aerospike-server:3.9.0
docker run --name kafka \
-e ADVERTISED_HOST=localhost \
-e ADVERTISED_PORT=9092 \
-p "2181:2181" -p "9092:9092" \
-d spotify/kafka
docker run --name elasticsearch -p "9200:9200" -p "9300:9300" -d elasticsearch:5
docker run --name nsq -p "4150:4150" -d nsqio/nsq /nsqd
docker run --name mqtt -p "1883:1883" -d ncarlier/mqtt
docker run --name riemann -p "5555:5555" -d stealthly/docker-riemann
docker run --name nats -p "4222:4222" -d nats
# Kill all docker containers, ignore errors
docker-kill:
-docker kill nsq aerospike redis rabbitmq postgres memcached mysql kafka mqtt riemann nats elasticsearch
-docker rm nsq aerospike redis rabbitmq postgres memcached mysql kafka mqtt riemann nats elasticsearch
# Run full unit tests using docker containers (includes setup and teardown)
test: vet docker-kill docker-run
# Sleeping for kafka leadership election, TSDB setup, etc.
sleep 60
# SUCCESS, running tests
go test -race ./...
# Run "short" unit tests
test-short: vet
go test -short ./...
.PHONY: fmt
fmt:
@gofmt -s -w $(filter-out plugins/parsers/influx/machine.go, $(GOFILES))
.PHONY: fmtcheck
fmtcheck:
@if [ ! -z "$(GOFMT)" ]; then \
echo "[ERROR] gofmt has found errors in the following files:" ; \
echo "$(GOFMT)" ; \
echo "" ;\
echo "Run make fmt to fix them." ; \
exit 1 ;\
fi
.PHONY: test-windows
test-windows:
go test -short ./plugins/inputs/ping/...
go test -short ./plugins/inputs/win_perf_counters/...
go test -short ./plugins/inputs/win_services/...
go test -short ./plugins/inputs/procstat/...
go test -short ./plugins/inputs/ntpq/...
go test -short ./plugins/processors/port_name/...
.PHONY: vet
vet:
@echo 'go vet $$(go list ./... | grep -v ./plugins/parsers/influx)'
@go vet $$(go list ./... | grep -v ./plugins/parsers/influx) ; if [ $$? -ne 0 ]; then \
echo ""; \
echo "go vet has found suspicious constructs. Please remediate any reported errors"; \
echo "to fix them before submitting code for review."; \
exit 1; \
fi
go vet ./...
.PHONY: tidy
tidy:
go mod verify
go mod tidy
@if ! git diff --quiet go.mod go.sum; then \
echo "please run go mod tidy and check in changes"; \
exit 1; \
fi
.PHONY: check
check: fmtcheck vet
@$(MAKE) --no-print-directory tidy
.PHONY: test-all
test-all: fmtcheck vet
go test ./...
.PHONY: check-deps
check-deps:
./scripts/check-deps.sh
.PHONY: package
package:
./scripts/build.py --package --platform=all --arch=all
.PHONY: package-release
package-release:
./scripts/build.py --release --package --platform=all --arch=all \
--upload --bucket=dl.influxdata.com/telegraf/releases
.PHONY: package-nightly
package-nightly:
./scripts/build.py --nightly --package --platform=all --arch=all \
--upload --bucket=dl.influxdata.com/telegraf/nightlies
.PHONY: clean
clean:
rm -f telegraf
rm -f telegraf.exe
.PHONY: docker-image
docker-image:
docker build -f scripts/stretch.docker -t "telegraf:$(COMMIT)" .
plugins/parsers/influx/machine.go: plugins/parsers/influx/machine.go.rl
ragel -Z -G2 $^ -o $@
.PHONY: static
static:
@echo "Building static linux binary..."
@CGO_ENABLED=0 \
GOOS=linux \
GOARCH=amd64 \
go build -ldflags "$(LDFLAGS)" ./cmd/telegraf
.PHONY: plugin-%
plugin-%:
@echo "Starting dev environment for $${$(@)} input plugin..."
@docker-compose -f plugins/inputs/$${$(@)}/dev/docker-compose.yml up
.PHONY: ci-1.13
ci-1.13:
docker build -t quay.io/influxdb/telegraf-ci:1.13.8 - < scripts/ci-1.13.docker
docker push quay.io/influxdb/telegraf-ci:1.13.8
.PHONY: ci-1.12
ci-1.12:
docker build -t quay.io/influxdb/telegraf-ci:1.12.17 - < scripts/ci-1.12.docker
docker push quay.io/influxdb/telegraf-ci:1.12.17
.PHONY: test test-short vet build default

368
README.md
View File

@ -1,49 +1,39 @@
# Telegraf [![Circle CI](https://circleci.com/gh/influxdata/telegraf.svg?style=svg)](https://circleci.com/gh/influxdata/telegraf) [![Docker pulls](https://img.shields.io/docker/pulls/library/telegraf.svg)](https://hub.docker.com/_/telegraf/)
Telegraf is an agent for collecting, processing, aggregating, and writing metrics.
Telegraf is an agent written in Go for collecting, processing, aggregating,
and writing metrics.
Design goals are to have a minimal memory footprint with a plugin system so
that developers in the community can easily add support for collecting
metrics.
that developers in the community can easily add support for collecting metrics
from well known services (like Hadoop, Postgres, or Redis) and third party
APIs (like Mailchimp, AWS CloudWatch, or Google Analytics).
Telegraf is plugin-driven and has the concept of 4 distinct plugin types:
Telegraf is plugin-driven and has the concept of 4 distinct plugins:
1. [Input Plugins](#input-plugins) collect metrics from the system, services, or 3rd party APIs
2. [Processor Plugins](#processor-plugins) transform, decorate, and/or filter metrics
3. [Aggregator Plugins](#aggregator-plugins) create aggregate metrics (e.g. mean, min, max, quantiles, etc.)
4. [Output Plugins](#output-plugins) write metrics to various destinations
New plugins are designed to be easy to contribute, pull requests are welcomed
and we work to incorporate as many pull requests as possible.
For more information on Processor and Aggregator plugins please [read this](./docs/AGGREGATORS_AND_PROCESSORS.md).
## Try in Browser :rocket:
You can try Telegraf right in your browser in the [Telegraf playground](https://rootnroll.com/d/telegraf/).
## Contributing
There are many ways to contribute:
- Fix and [report bugs](https://github.com/influxdata/telegraf/issues/new)
- [Improve documentation](https://github.com/influxdata/telegraf/issues?q=is%3Aopen+label%3Adocumentation)
- [Review code and feature proposals](https://github.com/influxdata/telegraf/pulls)
- Answer questions and discuss here on github and on the [Community Site](https://community.influxdata.com/)
- [Contribute plugins](CONTRIBUTING.md)
- [Contribute external plugins](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/execd/shim) *(experimental)*
## Minimum Requirements
Telegraf shares the same [minimum requirements][] as Go:
- Linux kernel version 2.6.23 or later
- Windows 7 or later
- FreeBSD 11.2 or later
- MacOS 10.11 El Capitan or later
[minimum requirements]: https://github.com/golang/go/wiki/MinimumRequirements#minimum-requirements
New plugins are designed to be easy to contribute,
we'll eagerly accept pull
requests and will manage the set of plugins that Telegraf supports.
See the [contributing guide](CONTRIBUTING.md) for instructions on writing
new plugins.
## Installation:
You can download the binaries directly from the [downloads](https://www.influxdata.com/downloads) page
or from the [releases](https://github.com/influxdata/telegraf/releases) section.
You can either download the binaries directly from the
[downloads](https://www.influxdata.com/downloads) page.
A few alternate installs are available here as well:
### FreeBSD tarball:
Latest:
* https://dl.influxdata.com/telegraf/releases/telegraf-VERSION_freebsd_amd64.tar.gz
### Ansible Role:
@ -51,52 +41,15 @@ Ansible role: https://github.com/rossmcdonald/telegraf
### From Source:
Telegraf requires Go version 1.13 or newer, the Makefile requires GNU make.
Telegraf manages dependencies via [gdm](https://github.com/sparrc/gdm),
which gets installed via the Makefile
if you don't have it already. You also must build with golang version 1.8+.
1. [Install Go](https://golang.org/doc/install) >=1.13 (1.14 recommended)
2. Clone the Telegraf repository:
```
cd ~/src
git clone https://github.com/influxdata/telegraf.git
```
3. Run `make` from the source directory
```
cd ~/src/telegraf
make
```
### Changelog
View the [changelog](/CHANGELOG.md) for the latest updates and changes by
version.
### Nightly Builds
These builds are generated from the master branch:
- [telegraf-nightly_darwin_amd64.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_darwin_amd64.tar.gz)
- [telegraf_nightly_amd64.deb](https://dl.influxdata.com/telegraf/nightlies/telegraf_nightly_amd64.deb)
- [telegraf_nightly_arm64.deb](https://dl.influxdata.com/telegraf/nightlies/telegraf_nightly_arm64.deb)
- [telegraf-nightly.arm64.rpm](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly.arm64.rpm)
- [telegraf_nightly_armel.deb](https://dl.influxdata.com/telegraf/nightlies/telegraf_nightly_armel.deb)
- [telegraf-nightly.armel.rpm](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly.armel.rpm)
- [telegraf_nightly_armhf.deb](https://dl.influxdata.com/telegraf/nightlies/telegraf_nightly_armhf.deb)
- [telegraf-nightly.armv6hl.rpm](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly.armv6hl.rpm)
- [telegraf-nightly_freebsd_amd64.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_freebsd_amd64.tar.gz)
- [telegraf-nightly_freebsd_i386.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_freebsd_i386.tar.gz)
- [telegraf_nightly_i386.deb](https://dl.influxdata.com/telegraf/nightlies/telegraf_nightly_i386.deb)
- [telegraf-nightly.i386.rpm](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly.i386.rpm)
- [telegraf-nightly_linux_amd64.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_linux_amd64.tar.gz)
- [telegraf-nightly_linux_arm64.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_linux_arm64.tar.gz)
- [telegraf-nightly_linux_armel.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_linux_armel.tar.gz)
- [telegraf-nightly_linux_armhf.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_linux_armhf.tar.gz)
- [telegraf-nightly_linux_i386.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_linux_i386.tar.gz)
- [telegraf-nightly_linux_s390x.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_linux_s390x.tar.gz)
- [telegraf_nightly_s390x.deb](https://dl.influxdata.com/telegraf/nightlies/telegraf_nightly_s390x.deb)
- [telegraf-nightly.s390x.rpm](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly.s390x.rpm)
- [telegraf-nightly_windows_amd64.zip](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_windows_amd64.zip)
- [telegraf-nightly_windows_i386.zip](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly_windows_i386.zip)
- [telegraf-nightly.x86_64.rpm](https://dl.influxdata.com/telegraf/nightlies/telegraf-nightly.x86_64.rpm)
- [telegraf-static-nightly_linux_amd64.tar.gz](https://dl.influxdata.com/telegraf/nightlies/telegraf-static-nightly_linux_amd64.tar.gz)
1. [Install Go](https://golang.org/doc/install)
2. [Setup your GOPATH](https://golang.org/doc/code.html#GOPATH)
3. Run `go get github.com/influxdata/telegraf`
4. Run `cd $GOPATH/src/github.com/influxdata/telegraf`
5. Run `make`
## How to use it:
@ -112,318 +65,187 @@ telegraf --help
telegraf config > telegraf.conf
```
#### Generate config with only cpu input & influxdb output plugins defined:
#### Generate config with only cpu input & influxdb output plugins defined
```
telegraf --section-filter agent:inputs:outputs --input-filter cpu --output-filter influxdb config
telegraf --input-filter cpu --output-filter influxdb config
```
#### Run a single telegraf collection, outputting metrics to stdout:
#### Run a single telegraf collection, outputing metrics to stdout
```
telegraf --config telegraf.conf --test
telegraf --config telegraf.conf -test
```
#### Run telegraf with all plugins defined in config file:
#### Run telegraf with all plugins defined in config file
```
telegraf --config telegraf.conf
```
#### Run telegraf, enabling the cpu & memory input, and influxdb output plugins:
#### Run telegraf, enabling the cpu & memory input, and influxdb output plugins
```
telegraf --config telegraf.conf --input-filter cpu:mem --output-filter influxdb
telegraf --config telegraf.conf -input-filter cpu:mem -output-filter influxdb
```
## Documentation
[Latest Release Documentation][release docs].
## Configuration
For documentation on the latest development code see the [documentation index][devel docs].
[release docs]: https://docs.influxdata.com/telegraf
[devel docs]: docs
See the [configuration guide](docs/CONFIGURATION.md) for a rundown of the more advanced
configuration options.
## Input Plugins
* [activemq](./plugins/inputs/activemq)
* [aerospike](./plugins/inputs/aerospike)
* [amqp_consumer](./plugins/inputs/amqp_consumer) (rabbitmq)
* [apache](./plugins/inputs/apache)
* [apcupsd](./plugins/inputs/apcupsd)
* [aurora](./plugins/inputs/aurora)
* [aws cloudwatch](./plugins/inputs/cloudwatch) (Amazon Cloudwatch)
* [azure_storage_queue](./plugins/inputs/azure_storage_queue)
* [aws cloudwatch](./plugins/inputs/cloudwatch)
* [bcache](./plugins/inputs/bcache)
* [beanstalkd](./plugins/inputs/beanstalkd)
* [bind](./plugins/inputs/bind)
* [bond](./plugins/inputs/bond)
* [burrow](./plugins/inputs/burrow)
* [cassandra](./plugins/inputs/cassandra) (deprecated, use [jolokia2](./plugins/inputs/jolokia2))
* [cassandra](./plugins/inputs/cassandra)
* [ceph](./plugins/inputs/ceph)
* [cgroup](./plugins/inputs/cgroup)
* [chrony](./plugins/inputs/chrony)
* [cisco_telemetry_gnmi](./plugins/inputs/cisco_telemetry_gnmi)
* [cisco_telemetry_mdt](./plugins/inputs/cisco_telemetry_mdt)
* [clickhouse](./plugins/inputs/clickhouse)
* [cloud_pubsub](./plugins/inputs/cloud_pubsub) Google Cloud Pub/Sub
* [cloud_pubsub_push](./plugins/inputs/cloud_pubsub_push) Google Cloud Pub/Sub push endpoint
* [conntrack](./plugins/inputs/conntrack)
* [consul](./plugins/inputs/consul)
* [conntrack](./plugins/inputs/conntrack)
* [couchbase](./plugins/inputs/couchbase)
* [couchdb](./plugins/inputs/couchdb)
* [cpu](./plugins/inputs/cpu)
* [DC/OS](./plugins/inputs/dcos)
* [diskio](./plugins/inputs/diskio)
* [disk](./plugins/inputs/disk)
* [disque](./plugins/inputs/disque)
* [dmcache](./plugins/inputs/dmcache)
* [dns query time](./plugins/inputs/dns_query)
* [docker](./plugins/inputs/docker)
* [docker_log](./plugins/inputs/docker_log)
* [dovecot](./plugins/inputs/dovecot)
* [aws ecs](./plugins/inputs/ecs) (Amazon Elastic Container Service, Fargate)
* [elasticsearch](./plugins/inputs/elasticsearch)
* [ethtool](./plugins/inputs/ethtool)
* [eventhub_consumer](./plugins/inputs/eventhub_consumer) (Azure Event Hubs \& Azure IoT Hub)
* [exec](./plugins/inputs/exec) (generic executable plugin, support JSON, influx, graphite and nagios)
* [execd](./plugins/inputs/execd)
* [fail2ban](./plugins/inputs/fail2ban)
* [fibaro](./plugins/inputs/fibaro)
* [file](./plugins/inputs/file)
* [filestat](./plugins/inputs/filestat)
* [filecount](./plugins/inputs/filecount)
* [fireboard](/plugins/inputs/fireboard)
* [fluentd](./plugins/inputs/fluentd)
* [github](./plugins/inputs/github)
* [graylog](./plugins/inputs/graylog)
* [haproxy](./plugins/inputs/haproxy)
* [hddtemp](./plugins/inputs/hddtemp)
* [httpjson](./plugins/inputs/httpjson) (generic JSON-emitting http service plugin)
* [http_listener](./plugins/inputs/influxdb_listener) (deprecated, renamed to [influxdb_listener](/plugins/inputs/influxdb_listener))
* [http_listener_v2](./plugins/inputs/http_listener_v2)
* [http](./plugins/inputs/http) (generic HTTP plugin, supports using input data formats)
* [http_response](./plugins/inputs/http_response)
* [icinga2](./plugins/inputs/icinga2)
* [infiniband](./plugins/inputs/infiniband)
* [influxdb](./plugins/inputs/influxdb)
* [influxdb_listener](./plugins/inputs/influxdb_listener)
* [httpjson](./plugins/inputs/httpjson) (generic JSON-emitting http service plugin)
* [internal](./plugins/inputs/internal)
* [influxdb](./plugins/inputs/influxdb)
* [interrupts](./plugins/inputs/interrupts)
* [ipmi_sensor](./plugins/inputs/ipmi_sensor)
* [ipset](./plugins/inputs/ipset)
* [iptables](./plugins/inputs/iptables)
* [ipvs](./plugins/inputs/ipvs)
* [jenkins](./plugins/inputs/jenkins)
* [jolokia2](./plugins/inputs/jolokia2) (java, cassandra, kafka)
* [jolokia](./plugins/inputs/jolokia) (deprecated, use [jolokia2](./plugins/inputs/jolokia2))
* [jti_openconfig_telemetry](./plugins/inputs/jti_openconfig_telemetry)
* [kafka_consumer](./plugins/inputs/kafka_consumer)
* [jolokia](./plugins/inputs/jolokia)
* [kapacitor](./plugins/inputs/kapacitor)
* [aws kinesis](./plugins/inputs/kinesis_consumer) (Amazon Kinesis)
* [kernel](./plugins/inputs/kernel)
* [kernel_vmstat](./plugins/inputs/kernel_vmstat)
* [kibana](./plugins/inputs/kibana)
* [kubernetes](./plugins/inputs/kubernetes)
* [kube_inventory](./plugins/inputs/kube_inventory)
* [lanz](./plugins/inputs/lanz)
* [leofs](./plugins/inputs/leofs)
* [linux_sysctl_fs](./plugins/inputs/linux_sysctl_fs)
* [logparser](./plugins/inputs/logparser) (deprecated, use [tail](/plugins/inputs/tail))
* [logstash](./plugins/inputs/logstash)
* [lustre2](./plugins/inputs/lustre2)
* [mailchimp](./plugins/inputs/mailchimp)
* [marklogic](./plugins/inputs/marklogic)
* [mcrouter](./plugins/inputs/mcrouter)
* [memcached](./plugins/inputs/memcached)
* [mem](./plugins/inputs/mem)
* [mesos](./plugins/inputs/mesos)
* [minecraft](./plugins/inputs/minecraft)
* [modbus](./plugins/inputs/modbus)
* [mongodb](./plugins/inputs/mongodb)
* [monit](./plugins/inputs/monit)
* [mqtt_consumer](./plugins/inputs/mqtt_consumer)
* [multifile](./plugins/inputs/multifile)
* [mysql](./plugins/inputs/mysql)
* [nats_consumer](./plugins/inputs/nats_consumer)
* [nats](./plugins/inputs/nats)
* [neptune_apex](./plugins/inputs/neptune_apex)
* [net](./plugins/inputs/net)
* [net_response](./plugins/inputs/net_response)
* [netstat](./plugins/inputs/net)
* [nginx](./plugins/inputs/nginx)
* [nginx_plus_api](./plugins/inputs/nginx_plus_api)
* [nginx_plus](./plugins/inputs/nginx_plus)
* [nginx_upstream_check](./plugins/inputs/nginx_upstream_check)
* [nginx_vts](./plugins/inputs/nginx_vts)
* [nsq_consumer](./plugins/inputs/nsq_consumer)
* [nsq](./plugins/inputs/nsq)
* [nstat](./plugins/inputs/nstat)
* [ntpq](./plugins/inputs/ntpq)
* [nvidia_smi](./plugins/inputs/nvidia_smi)
* [openldap](./plugins/inputs/openldap)
* [openntpd](./plugins/inputs/openntpd)
* [opensmtpd](./plugins/inputs/opensmtpd)
* [openweathermap](./plugins/inputs/openweathermap)
* [pf](./plugins/inputs/pf)
* [pgbouncer](./plugins/inputs/pgbouncer)
* [phpfpm](./plugins/inputs/phpfpm)
* [phusion passenger](./plugins/inputs/passenger)
* [ping](./plugins/inputs/ping)
* [postfix](./plugins/inputs/postfix)
* [postgresql_extensible](./plugins/inputs/postgresql_extensible)
* [postgresql](./plugins/inputs/postgresql)
* [postgresql_extensible](./plugins/inputs/postgresql_extensible)
* [powerdns](./plugins/inputs/powerdns)
* [powerdns_recursor](./plugins/inputs/powerdns_recursor)
* [processes](./plugins/inputs/processes)
* [procstat](./plugins/inputs/procstat)
* [prometheus](./plugins/inputs/prometheus) (can be used for [Caddy server](./plugins/inputs/prometheus/README.md#usage-for-caddy-http-server))
* [prometheus](./plugins/inputs/prometheus)
* [puppetagent](./plugins/inputs/puppetagent)
* [rabbitmq](./plugins/inputs/rabbitmq)
* [raindrops](./plugins/inputs/raindrops)
* [redis](./plugins/inputs/redis)
* [rethinkdb](./plugins/inputs/rethinkdb)
* [riak](./plugins/inputs/riak)
* [salesforce](./plugins/inputs/salesforce)
* [sensors](./plugins/inputs/sensors)
* [sflow](./plugins/inputs/sflow)
* [smart](./plugins/inputs/smart)
* [snmp_legacy](./plugins/inputs/snmp_legacy)
* [snmp](./plugins/inputs/snmp)
* [snmp_trap](./plugins/inputs/snmp_trap)
* [socket_listener](./plugins/inputs/socket_listener)
* [solr](./plugins/inputs/solr)
* [snmp_legacy](./plugins/inputs/snmp_legacy)
* [sql server](./plugins/inputs/sqlserver) (microsoft)
* [stackdriver](./plugins/inputs/stackdriver) (Google Cloud Monitoring)
* [statsd](./plugins/inputs/statsd)
* [suricata](./plugins/inputs/suricata)
* [swap](./plugins/inputs/swap)
* [synproxy](./plugins/inputs/synproxy)
* [syslog](./plugins/inputs/syslog)
* [sysstat](./plugins/inputs/sysstat)
* [systemd_units](./plugins/inputs/systemd_units)
* [system](./plugins/inputs/system)
* [tail](./plugins/inputs/tail)
* [temp](./plugins/inputs/temp)
* [tcp_listener](./plugins/inputs/socket_listener)
* [teamspeak](./plugins/inputs/teamspeak)
* [tengine](./plugins/inputs/tengine)
* [tomcat](./plugins/inputs/tomcat)
* [twemproxy](./plugins/inputs/twemproxy)
* [udp_listener](./plugins/inputs/socket_listener)
* [unbound](./plugins/inputs/unbound)
* [uwsgi](./plugins/inputs/uwsgi)
* [varnish](./plugins/inputs/varnish)
* [vsphere](./plugins/inputs/vsphere) VMware vSphere
* [zfs](./plugins/inputs/zfs)
* [zookeeper](./plugins/inputs/zookeeper)
* [win_perf_counters ](./plugins/inputs/win_perf_counters) (windows performance counters)
* [sysstat](./plugins/inputs/sysstat)
* [system](./plugins/inputs/system)
* cpu
* mem
* net
* netstat
* disk
* diskio
* swap
* processes
* kernel (/proc/stat)
* kernel (/proc/vmstat)
* linux_sysctl_fs (/proc/sys/fs)
Telegraf can also collect metrics via the following service plugins:
* [http_listener](./plugins/inputs/http_listener)
* [kafka_consumer](./plugins/inputs/kafka_consumer)
* [mqtt_consumer](./plugins/inputs/mqtt_consumer)
* [nats_consumer](./plugins/inputs/nats_consumer)
* [nsq_consumer](./plugins/inputs/nsq_consumer)
* [logparser](./plugins/inputs/logparser)
* [statsd](./plugins/inputs/statsd)
* [socket_listener](./plugins/inputs/socket_listener)
* [tail](./plugins/inputs/tail)
* [tcp_listener](./plugins/inputs/socket_listener)
* [udp_listener](./plugins/inputs/socket_listener)
* [webhooks](./plugins/inputs/webhooks)
* [filestack](./plugins/inputs/webhooks/filestack)
* [github](./plugins/inputs/webhooks/github)
* [mandrill](./plugins/inputs/webhooks/mandrill)
* [papertrail](./plugins/inputs/webhooks/papertrail)
* [particle](./plugins/inputs/webhooks/particle)
* [rollbar](./plugins/inputs/webhooks/rollbar)
* [win_perf_counters](./plugins/inputs/win_perf_counters) (windows performance counters)
* [win_services](./plugins/inputs/win_services)
* [wireguard](./plugins/inputs/wireguard)
* [wireless](./plugins/inputs/wireless)
* [x509_cert](./plugins/inputs/x509_cert)
* [zfs](./plugins/inputs/zfs)
* [zipkin](./plugins/inputs/zipkin)
* [zookeeper](./plugins/inputs/zookeeper)
* [papertrail](./plugins/inputs/webhooks/papertrail)
## Parsers
Telegraf is able to parse the following input data formats into metrics, these
formats may be used with input plugins supporting the `data_format` option:
- [InfluxDB Line Protocol](/plugins/parsers/influx)
- [Collectd](/plugins/parsers/collectd)
- [CSV](/plugins/parsers/csv)
- [Dropwizard](/plugins/parsers/dropwizard)
- [FormUrlencoded](/plugins/parser/form_urlencoded)
- [Graphite](/plugins/parsers/graphite)
- [Grok](/plugins/parsers/grok)
- [JSON](/plugins/parsers/json)
- [Logfmt](/plugins/parsers/logfmt)
- [Nagios](/plugins/parsers/nagios)
- [Value](/plugins/parsers/value), ie: 45 or "booyah"
- [Wavefront](/plugins/parsers/wavefront)
## Serializers
- [InfluxDB Line Protocol](/plugins/serializers/influx)
- [JSON](/plugins/serializers/json)
- [Graphite](/plugins/serializers/graphite)
- [ServiceNow](/plugins/serializers/nowmetric)
- [SplunkMetric](/plugins/serializers/splunkmetric)
- [Carbon2](/plugins/serializers/carbon2)
- [Wavefront](/plugins/serializers/wavefront)
* [InfluxDB Line Protocol](./docs/DATA_FORMATS_INPUT.md#influx)
* [JSON](./docs/DATA_FORMATS_INPUT.md#json)
* [Graphite](./docs/DATA_FORMATS_INPUT.md#graphite)
* [Value](./docs/DATA_FORMATS_INPUT.md#value)
* [Nagios](./docs/DATA_FORMATS_INPUT.md#nagios)
* [Collectd](./docs/DATA_FORMATS_INPUT.md#collectd)
## Processor Plugins
* [clone](/plugins/processors/clone)
* [converter](/plugins/processors/converter)
* [date](/plugins/processors/date)
* [dedup](/plugins/processors/dedup)
* [defaults](/plugins/processors/defaults)
* [enum](/plugins/processors/enum)
* [filepath](/plugins/processors/filepath)
* [override](/plugins/processors/override)
* [parser](/plugins/processors/parser)
* [pivot](/plugins/processors/pivot)
* [printer](/plugins/processors/printer)
* [regex](/plugins/processors/regex)
* [rename](/plugins/processors/rename)
* [s2geo](/plugins/processors/s2geo)
* [strings](/plugins/processors/strings)
* [tag_limit](/plugins/processors/tag_limit)
* [template](/plugins/processors/template)
* [topk](/plugins/processors/topk)
* [unpivot](/plugins/processors/unpivot)
* [printer](./plugins/processors/printer)
## Aggregator Plugins
* [basicstats](./plugins/aggregators/basicstats)
* [final](./plugins/aggregators/final)
* [histogram](./plugins/aggregators/histogram)
* [merge](./plugins/aggregators/merge)
* [minmax](./plugins/aggregators/minmax)
* [valuecounter](./plugins/aggregators/valuecounter)
## Output Plugins
* [influxdb](./plugins/outputs/influxdb) (InfluxDB 1.x)
* [influxdb_v2](./plugins/outputs/influxdb_v2) ([InfluxDB 2.x](https://github.com/influxdata/influxdb))
* [influxdb](./plugins/outputs/influxdb)
* [amon](./plugins/outputs/amon)
* [amqp](./plugins/outputs/amqp) (rabbitmq)
* [application_insights](./plugins/outputs/application_insights)
* [aws kinesis](./plugins/outputs/kinesis)
* [aws cloudwatch](./plugins/outputs/cloudwatch)
* [azure_monitor](./plugins/outputs/azure_monitor)
* [cloud_pubsub](./plugins/outputs/cloud_pubsub) Google Cloud Pub/Sub
* [cratedb](./plugins/outputs/cratedb)
* [datadog](./plugins/outputs/datadog)
* [discard](./plugins/outputs/discard)
* [elasticsearch](./plugins/outputs/elasticsearch)
* [exec](./plugins/outputs/exec)
* [file](./plugins/outputs/file)
* [graphite](./plugins/outputs/graphite)
* [graylog](./plugins/outputs/graylog)
* [health](./plugins/outputs/health)
* [http](./plugins/outputs/http)
* [instrumental](./plugins/outputs/instrumental)
* [kafka](./plugins/outputs/kafka)
* [librato](./plugins/outputs/librato)
* [mqtt](./plugins/outputs/mqtt)
* [nats](./plugins/outputs/nats)
* [newrelic](./plugins/outputs/newrelic)
* [nsq](./plugins/outputs/nsq)
* [opentsdb](./plugins/outputs/opentsdb)
* [prometheus](./plugins/outputs/prometheus_client)
* [riemann](./plugins/outputs/riemann)
* [riemann_legacy](./plugins/outputs/riemann_legacy)
* [socket_writer](./plugins/outputs/socket_writer)
* [stackdriver](./plugins/outputs/stackdriver) (Google Cloud Monitoring)
* [syslog](./plugins/outputs/syslog)
* [tcp](./plugins/outputs/socket_writer)
* [udp](./plugins/outputs/socket_writer)
* [warp10](./plugins/outputs/warp10)
* [wavefront](./plugins/outputs/wavefront)
## Contributing
Please see the
[contributing guide](CONTRIBUTING.md)
for details on contributing a plugin to Telegraf.

View File

@ -1,14 +1,16 @@
package telegraf
import (
"time"
)
import "time"
// Accumulator allows adding metrics to the processing flow.
// Accumulator is an interface for "accumulating" metrics from plugin(s).
// The metrics are sent down a channel shared between all plugins.
type Accumulator interface {
// AddFields adds a metric to the accumulator with the given measurement
// name, fields, and tags (and timestamp). If a timestamp is not provided,
// then the accumulator sets it to "now".
// Create a point with a value, decorating it with tags
// NOTE: tags is expected to be owned by the caller, don't mutate
// it after passing to Add.
AddFields(measurement string,
fields map[string]interface{},
tags map[string]string,
@ -26,60 +28,7 @@ type Accumulator interface {
tags map[string]string,
t ...time.Time)
// AddSummary is the same as AddFields, but will add the metric as a "Summary" type
AddSummary(measurement string,
fields map[string]interface{},
tags map[string]string,
t ...time.Time)
SetPrecision(precision, interval time.Duration)
// AddHistogram is the same as AddFields, but will add the metric as a "Histogram" type
AddHistogram(measurement string,
fields map[string]interface{},
tags map[string]string,
t ...time.Time)
// AddMetric adds an metric to the accumulator.
AddMetric(Metric)
// SetPrecision sets the timestamp rounding precision. All metrics addeds
// added to the accumulator will have their timestamp rounded to the
// nearest multiple of precision.
SetPrecision(precision time.Duration)
// Report an error.
AddError(err error)
// Upgrade to a TrackingAccumulator with space for maxTracked
// metrics/batches.
WithTracking(maxTracked int) TrackingAccumulator
}
// TrackingID uniquely identifies a tracked metric group
type TrackingID uint64
// DeliveryInfo provides the results of a delivered metric group.
type DeliveryInfo interface {
// ID is the TrackingID
ID() TrackingID
// Delivered returns true if the metric was processed successfully.
Delivered() bool
}
// TrackingAccumulator is an Accumulator that provides a signal when the
// metric has been fully processed. Sending more metrics than the accumulator
// has been allocated for without reading status from the Accepted or Rejected
// channels is an error.
type TrackingAccumulator interface {
Accumulator
// Add the Metric and arrange for tracking feedback after processing..
AddTrackingMetric(m Metric) TrackingID
// Add a group of Metrics and arrange for a signal when the group has been
// processed.
AddTrackingMetricGroup(group []Metric) TrackingID
// Delivered returns a channel that will contain the tracking results.
Delivered() <-chan DeliveryInfo
}

View File

@ -1,28 +1,32 @@
package agent
import (
"log"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/metric"
"github.com/influxdata/telegraf/selfstat"
)
var (
NErrors = selfstat.Register("agent", "gather_errors", map[string]string{})
)
type MetricMaker interface {
LogName() string
MakeMetric(metric telegraf.Metric) telegraf.Metric
Log() telegraf.Logger
}
type accumulator struct {
maker MetricMaker
metrics chan<- telegraf.Metric
precision time.Duration
Name() string
MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric
}
func NewAccumulator(
maker MetricMaker,
metrics chan<- telegraf.Metric,
) telegraf.Accumulator {
metrics chan telegraf.Metric,
) *accumulator {
acc := accumulator{
maker: maker,
metrics: metrics,
@ -31,13 +35,23 @@ func NewAccumulator(
return &acc
}
type accumulator struct {
metrics chan telegraf.Metric
maker MetricMaker
precision time.Duration
}
func (ac *accumulator) AddFields(
measurement string,
fields map[string]interface{},
tags map[string]string,
t ...time.Time,
) {
ac.addFields(measurement, tags, fields, telegraf.Untyped, t...)
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Untyped, ac.getTime(t)); m != nil {
ac.metrics <- m
}
}
func (ac *accumulator) AddGauge(
@ -46,7 +60,9 @@ func (ac *accumulator) AddGauge(
tags map[string]string,
t ...time.Time,
) {
ac.addFields(measurement, tags, fields, telegraf.Gauge, t...)
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Gauge, ac.getTime(t)); m != nil {
ac.metrics <- m
}
}
func (ac *accumulator) AddCounter(
@ -55,46 +71,7 @@ func (ac *accumulator) AddCounter(
tags map[string]string,
t ...time.Time,
) {
ac.addFields(measurement, tags, fields, telegraf.Counter, t...)
}
func (ac *accumulator) AddSummary(
measurement string,
fields map[string]interface{},
tags map[string]string,
t ...time.Time,
) {
ac.addFields(measurement, tags, fields, telegraf.Summary, t...)
}
func (ac *accumulator) AddHistogram(
measurement string,
fields map[string]interface{},
tags map[string]string,
t ...time.Time,
) {
ac.addFields(measurement, tags, fields, telegraf.Histogram, t...)
}
func (ac *accumulator) AddMetric(m telegraf.Metric) {
m.SetTime(m.Time().Round(ac.precision))
if m := ac.maker.MakeMetric(m); m != nil {
ac.metrics <- m
}
}
func (ac *accumulator) addFields(
measurement string,
tags map[string]string,
fields map[string]interface{},
tp telegraf.ValueType,
t ...time.Time,
) {
m, err := metric.New(measurement, tags, fields, ac.getTime(t), tp)
if err != nil {
return
}
if m := ac.maker.MakeMetric(m); m != nil {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Counter, ac.getTime(t)); m != nil {
ac.metrics <- m
}
}
@ -105,14 +82,33 @@ func (ac *accumulator) AddError(err error) {
if err == nil {
return
}
ac.maker.Log().Errorf("Error in plugin: %v", err)
NErrors.Incr(1)
//TODO suppress/throttle consecutive duplicate errors?
log.Printf("E! Error in plugin [%s]: %s", ac.maker.Name(), err)
}
func (ac *accumulator) SetPrecision(precision time.Duration) {
ac.precision = precision
// SetPrecision takes two time.Duration objects. If the first is non-zero,
// it sets that as the precision. Otherwise, it takes the second argument
// as the order of time that the metrics should be rounded to, with the
// maximum being 1s.
func (ac *accumulator) SetPrecision(precision, interval time.Duration) {
if precision > 0 {
ac.precision = precision
return
}
switch {
case interval >= time.Second:
ac.precision = time.Second
case interval >= time.Millisecond:
ac.precision = time.Millisecond
case interval >= time.Microsecond:
ac.precision = time.Microsecond
default:
ac.precision = time.Nanosecond
}
}
func (ac *accumulator) getTime(t []time.Time) time.Time {
func (ac accumulator) getTime(t []time.Time) time.Time {
var timestamp time.Time
if len(t) > 0 {
timestamp = t[0]
@ -121,43 +117,3 @@ func (ac *accumulator) getTime(t []time.Time) time.Time {
}
return timestamp.Round(ac.precision)
}
func (ac *accumulator) WithTracking(maxTracked int) telegraf.TrackingAccumulator {
return &trackingAccumulator{
Accumulator: ac,
delivered: make(chan telegraf.DeliveryInfo, maxTracked),
}
}
type trackingAccumulator struct {
telegraf.Accumulator
delivered chan telegraf.DeliveryInfo
}
func (a *trackingAccumulator) AddTrackingMetric(m telegraf.Metric) telegraf.TrackingID {
dm, id := metric.WithTracking(m, a.onDelivery)
a.AddMetric(dm)
return id
}
func (a *trackingAccumulator) AddTrackingMetricGroup(group []telegraf.Metric) telegraf.TrackingID {
db, id := metric.WithGroupTracking(group, a.onDelivery)
for _, m := range db {
a.AddMetric(m)
}
return id
}
func (a *trackingAccumulator) Delivered() <-chan telegraf.DeliveryInfo {
return a.delivered
}
func (a *trackingAccumulator) onDelivery(info telegraf.DeliveryInfo) {
select {
case a.delivered <- info:
default:
// This is a programming error in the input. More items were sent for
// tracking than space requested.
panic("channel is full")
}
}

View File

@ -9,41 +9,69 @@ import (
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/models"
"github.com/influxdata/telegraf/metric"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestAddFields(t *testing.T) {
func TestAdd(t *testing.T) {
now := time.Now()
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", now.UnixNano()),
actual)
}
func TestAddFields(t *testing.T) {
now := time.Now()
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
tags := map[string]string{"foo": "bar"}
fields := map[string]interface{}{
"usage": float64(99),
}
now := time.Now()
a.AddCounter("acctest", fields, tags, now)
a.AddFields("acctest", fields, map[string]string{})
a.AddGauge("acctest", fields, map[string]string{"acc": "test"})
a.AddCounter("acctest", fields, map[string]string{"acc": "test"}, now)
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest usage=99")
require.Equal(t, "acctest", testm.Name())
actual, ok := testm.GetField("usage")
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test usage=99")
require.True(t, ok)
require.Equal(t, float64(99), actual)
actual, ok = testm.GetTag("foo")
require.True(t, ok)
require.Equal(t, "bar", actual)
tm := testm.Time()
// okay if monotonic clock differs
require.True(t, now.Equal(tm))
tp := testm.Type()
require.Equal(t, telegraf.Counter, tp)
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test usage=99 %d\n", now.UnixNano()),
actual)
}
func TestAccAddError(t *testing.T) {
@ -60,6 +88,7 @@ func TestAccAddError(t *testing.T) {
a.AddError(fmt.Errorf("baz"))
errs := bytes.Split(errBuf.Bytes(), []byte{'\n'})
assert.EqualValues(t, int64(3), NErrors.Get())
require.Len(t, errs, 4) // 4 because of trailing newline
assert.Contains(t, string(errs[0]), "TestPlugin")
assert.Contains(t, string(errs[0]), "foo")
@ -69,75 +98,215 @@ func TestAccAddError(t *testing.T) {
assert.Contains(t, string(errs[2]), "baz")
}
func TestSetPrecision(t *testing.T) {
tests := []struct {
name string
unset bool
precision time.Duration
timestamp time.Time
expected time.Time
}{
{
name: "default precision is nanosecond",
unset: true,
timestamp: time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC),
expected: time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC),
},
{
name: "second interval",
precision: time.Second,
timestamp: time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC),
expected: time.Date(2006, time.February, 10, 12, 0, 0, 0, time.UTC),
},
{
name: "microsecond interval",
precision: time.Microsecond,
timestamp: time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC),
expected: time.Date(2006, time.February, 10, 12, 0, 0, 82913000, time.UTC),
},
{
name: "2 second precision",
precision: 2 * time.Second,
timestamp: time.Date(2006, time.February, 10, 12, 0, 2, 4, time.UTC),
expected: time.Date(2006, time.February, 10, 12, 0, 2, 0, time.UTC),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
metrics := make(chan telegraf.Metric, 10)
func TestAddNoIntervalWithPrecision(t *testing.T) {
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(0, time.Second)
a := NewAccumulator(&TestMetricMaker{}, metrics)
if !tt.unset {
a.SetPrecision(tt.precision)
}
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{},
tt.timestamp,
)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm := <-metrics
require.Equal(t, tt.expected, testm.Time())
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
close(metrics)
})
}
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800000000000)),
actual)
}
func TestAddTrackingMetricGroupEmpty(t *testing.T) {
ch := make(chan telegraf.Metric, 10)
metrics := []telegraf.Metric{}
acc := NewAccumulator(&TestMetricMaker{}, ch).WithTracking(1)
func TestAddDisablePrecision(t *testing.T) {
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
id := acc.AddTrackingMetricGroup(metrics)
a.SetPrecision(time.Nanosecond, 0)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
select {
case tracking := <-acc.Delivered():
require.Equal(t, tracking.ID(), id)
default:
t.Fatal("empty group should be delivered immediately")
}
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800082912748)),
actual)
}
func TestAddNoPrecisionWithInterval(t *testing.T) {
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(0, time.Second)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800000000000)),
actual)
}
func TestDifferentPrecisions(t *testing.T) {
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(0, time.Second)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800000000000)),
actual)
a.SetPrecision(0, time.Millisecond)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800083000000)),
actual)
a.SetPrecision(0, time.Microsecond)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800082913000)),
actual)
a.SetPrecision(0, time.Nanosecond)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", int64(1139572800082912748)),
actual)
}
func TestAddGauge(t *testing.T) {
now := time.Now()
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Equal(t, testm.Type(), telegraf.Gauge)
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
assert.Equal(t, testm.Type(), telegraf.Gauge)
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", now.UnixNano()),
actual)
assert.Equal(t, testm.Type(), telegraf.Gauge)
}
func TestAddCounter(t *testing.T) {
now := time.Now()
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddCounter("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddCounter("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddCounter("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Equal(t, testm.Type(), telegraf.Counter)
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
assert.Equal(t, testm.Type(), telegraf.Counter)
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d\n", now.UnixNano()),
actual)
assert.Equal(t, testm.Type(), telegraf.Counter)
}
type TestMetricMaker struct {
@ -146,15 +315,26 @@ type TestMetricMaker struct {
func (tm *TestMetricMaker) Name() string {
return "TestPlugin"
}
func (tm *TestMetricMaker) LogName() string {
return tm.Name()
}
func (tm *TestMetricMaker) MakeMetric(metric telegraf.Metric) telegraf.Metric {
return metric
}
func (tm *TestMetricMaker) Log() telegraf.Logger {
return models.NewLogger("TestPlugin", "test", "")
func (tm *TestMetricMaker) MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
switch mType {
case telegraf.Untyped:
if m, err := metric.New(measurement, tags, fields, t); err == nil {
return m
}
case telegraf.Counter:
if m, err := metric.New(measurement, tags, fields, t, telegraf.Counter); err == nil {
return m
}
case telegraf.Gauge:
if m, err := metric.New(measurement, tags, fields, t, telegraf.Gauge); err == nil {
return m
}
}
return nil
}

File diff suppressed because it is too large Load Diff

View File

@ -1,19 +0,0 @@
// +build !windows
package agent
import (
"os"
"os/signal"
"syscall"
)
const flushSignal = syscall.SIGUSR1
func watchForFlushSignal(flushRequested chan os.Signal) {
signal.Notify(flushRequested, flushSignal)
}
func stopListeningForFlushSignal(flushRequested chan os.Signal) {
defer signal.Stop(flushRequested)
}

View File

@ -2,13 +2,15 @@ package agent
import (
"testing"
"time"
"github.com/influxdata/telegraf/config"
"github.com/influxdata/telegraf/internal/config"
// needing to load the plugins
_ "github.com/influxdata/telegraf/plugins/inputs/all"
// needing to load the outputs
_ "github.com/influxdata/telegraf/plugins/outputs/all"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestAgent_OmitHostname(t *testing.T) {
@ -22,35 +24,35 @@ func TestAgent_OmitHostname(t *testing.T) {
func TestAgent_LoadPlugin(t *testing.T) {
c := config.NewConfig()
c.InputFilters = []string{"mysql"}
err := c.LoadConfig("../config/testdata/telegraf-agent.toml")
err := c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ := NewAgent(c)
assert.Equal(t, 1, len(a.Config.Inputs))
c = config.NewConfig()
c.InputFilters = []string{"foo"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 0, len(a.Config.Inputs))
c = config.NewConfig()
c.InputFilters = []string{"mysql", "foo"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 1, len(a.Config.Inputs))
c = config.NewConfig()
c.InputFilters = []string{"mysql", "redis"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 2, len(a.Config.Inputs))
c = config.NewConfig()
c.InputFilters = []string{"mysql", "foo", "redis", "bar"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 2, len(a.Config.Inputs))
@ -59,42 +61,42 @@ func TestAgent_LoadPlugin(t *testing.T) {
func TestAgent_LoadOutput(t *testing.T) {
c := config.NewConfig()
c.OutputFilters = []string{"influxdb"}
err := c.LoadConfig("../config/testdata/telegraf-agent.toml")
err := c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ := NewAgent(c)
assert.Equal(t, 2, len(a.Config.Outputs))
c = config.NewConfig()
c.OutputFilters = []string{"kafka"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 1, len(a.Config.Outputs))
c = config.NewConfig()
c.OutputFilters = []string{}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 3, len(a.Config.Outputs))
c = config.NewConfig()
c.OutputFilters = []string{"foo"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 0, len(a.Config.Outputs))
c = config.NewConfig()
c.OutputFilters = []string{"influxdb", "foo"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 2, len(a.Config.Outputs))
c = config.NewConfig()
c.OutputFilters = []string{"influxdb", "kafka"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
assert.Equal(t, 3, len(c.Outputs))
a, _ = NewAgent(c)
@ -102,67 +104,8 @@ func TestAgent_LoadOutput(t *testing.T) {
c = config.NewConfig()
c.OutputFilters = []string{"influxdb", "foo", "kafka", "bar"}
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 3, len(a.Config.Outputs))
}
func TestWindow(t *testing.T) {
parse := func(s string) time.Time {
tm, err := time.Parse(time.RFC3339, s)
if err != nil {
panic(err)
}
return tm
}
tests := []struct {
name string
start time.Time
roundInterval bool
period time.Duration
since time.Time
until time.Time
}{
{
name: "round with exact alignment",
start: parse("2018-03-27T00:00:00Z"),
roundInterval: true,
period: 30 * time.Second,
since: parse("2018-03-27T00:00:00Z"),
until: parse("2018-03-27T00:00:30Z"),
},
{
name: "round with alignment needed",
start: parse("2018-03-27T00:00:05Z"),
roundInterval: true,
period: 30 * time.Second,
since: parse("2018-03-27T00:00:00Z"),
until: parse("2018-03-27T00:00:30Z"),
},
{
name: "no round with exact alignment",
start: parse("2018-03-27T00:00:00Z"),
roundInterval: false,
period: 30 * time.Second,
since: parse("2018-03-27T00:00:00Z"),
until: parse("2018-03-27T00:00:30Z"),
},
{
name: "no found with alignment needed",
start: parse("2018-03-27T00:00:05Z"),
roundInterval: false,
period: 30 * time.Second,
since: parse("2018-03-27T00:00:05Z"),
until: parse("2018-03-27T00:00:35Z"),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
since, until := updateWindow(tt.start, tt.roundInterval, tt.period)
require.Equal(t, tt.since, since, "since")
require.Equal(t, tt.until, until, "until")
})
}
}

View File

@ -1,13 +0,0 @@
// +build windows
package agent
import "os"
func watchForFlushSignal(flushRequested chan os.Signal) {
// not supported
}
func stopListeningForFlushSignal(flushRequested chan os.Signal) {
// not supported
}

View File

@ -1,268 +0,0 @@
package agent
import (
"context"
"sync"
"time"
"github.com/benbjohnson/clock"
"github.com/influxdata/telegraf/internal"
)
type empty struct{}
type Ticker interface {
Elapsed() <-chan time.Time
Stop()
}
// AlignedTicker delivers ticks at aligned times plus an optional jitter. Each
// tick is realigned to avoid drift and handle changes to the system clock.
//
// The ticks may have an jitter duration applied to them as an random offset to
// the interval. However the overall pace of is that of the interval, so on
// average you will have one collection each interval.
//
// The first tick is emitted at the next alignment.
//
// Ticks are dropped for slow consumers.
//
// The implementation currently does not recalculate until the next tick with
// no maximum sleep, when using large intervals alignment is not corrected
// until the next tick.
type AlignedTicker struct {
interval time.Duration
jitter time.Duration
ch chan time.Time
cancel context.CancelFunc
wg sync.WaitGroup
}
func NewAlignedTicker(now time.Time, interval, jitter time.Duration) *AlignedTicker {
return newAlignedTicker(now, interval, jitter, clock.New())
}
func newAlignedTicker(now time.Time, interval, jitter time.Duration, clock clock.Clock) *AlignedTicker {
ctx, cancel := context.WithCancel(context.Background())
t := &AlignedTicker{
interval: interval,
jitter: jitter,
ch: make(chan time.Time, 1),
cancel: cancel,
}
d := t.next(now)
timer := clock.Timer(d)
t.wg.Add(1)
go func() {
defer t.wg.Done()
t.run(ctx, timer)
}()
return t
}
func (t *AlignedTicker) next(now time.Time) time.Duration {
next := internal.AlignTime(now, t.interval)
d := next.Sub(now)
if d == 0 {
d = t.interval
}
d += internal.RandomDuration(t.jitter)
return d
}
func (t *AlignedTicker) run(ctx context.Context, timer *clock.Timer) {
for {
select {
case <-ctx.Done():
timer.Stop()
return
case now := <-timer.C:
select {
case t.ch <- now:
default:
}
d := t.next(now)
timer.Reset(d)
}
}
}
func (t *AlignedTicker) Elapsed() <-chan time.Time {
return t.ch
}
func (t *AlignedTicker) Stop() {
t.cancel()
t.wg.Wait()
}
// UnalignedTicker delivers ticks at regular but unaligned intervals. No
// effort is made to avoid drift.
//
// The ticks may have an jitter duration applied to them as an random offset to
// the interval. However the overall pace of is that of the interval, so on
// average you will have one collection each interval.
//
// The first tick is emitted immediately.
//
// Ticks are dropped for slow consumers.
type UnalignedTicker struct {
interval time.Duration
jitter time.Duration
ch chan time.Time
cancel context.CancelFunc
wg sync.WaitGroup
}
func NewUnalignedTicker(interval, jitter time.Duration) *UnalignedTicker {
return newUnalignedTicker(interval, jitter, clock.New())
}
func newUnalignedTicker(interval, jitter time.Duration, clock clock.Clock) *UnalignedTicker {
ctx, cancel := context.WithCancel(context.Background())
t := &UnalignedTicker{
interval: interval,
jitter: jitter,
ch: make(chan time.Time, 1),
cancel: cancel,
}
ticker := clock.Ticker(t.interval)
t.ch <- clock.Now()
t.wg.Add(1)
go func() {
defer t.wg.Done()
t.run(ctx, ticker, clock)
}()
return t
}
func sleep(ctx context.Context, duration time.Duration, clock clock.Clock) error {
if duration == 0 {
return nil
}
t := clock.Timer(duration)
select {
case <-t.C:
return nil
case <-ctx.Done():
t.Stop()
return ctx.Err()
}
}
func (t *UnalignedTicker) run(ctx context.Context, ticker *clock.Ticker, clock clock.Clock) {
for {
select {
case <-ctx.Done():
ticker.Stop()
return
case <-ticker.C:
jitter := internal.RandomDuration(t.jitter)
err := sleep(ctx, jitter, clock)
if err != nil {
ticker.Stop()
return
}
select {
case t.ch <- clock.Now():
default:
}
}
}
}
func (t *UnalignedTicker) InjectTick() {
t.ch <- time.Now()
}
func (t *UnalignedTicker) Elapsed() <-chan time.Time {
return t.ch
}
func (t *UnalignedTicker) Stop() {
t.cancel()
t.wg.Wait()
}
// RollingTicker delivers ticks at regular but unaligned intervals.
//
// Because the next interval is scheduled based on the interval + jitter, you
// are guaranteed at least interval seconds without missing a tick and ticks
// will be evenly scheduled over time.
//
// On average you will have one collection each interval + (jitter/2).
//
// The first tick is emitted after interval+jitter seconds.
//
// Ticks are dropped for slow consumers.
type RollingTicker struct {
interval time.Duration
jitter time.Duration
ch chan time.Time
cancel context.CancelFunc
wg sync.WaitGroup
}
func NewRollingTicker(interval, jitter time.Duration) *RollingTicker {
return newRollingTicker(interval, jitter, clock.New())
}
func newRollingTicker(interval, jitter time.Duration, clock clock.Clock) *RollingTicker {
ctx, cancel := context.WithCancel(context.Background())
t := &RollingTicker{
interval: interval,
jitter: jitter,
ch: make(chan time.Time, 1),
cancel: cancel,
}
d := t.next()
timer := clock.Timer(d)
t.wg.Add(1)
go func() {
defer t.wg.Done()
t.run(ctx, timer)
}()
return t
}
func (t *RollingTicker) next() time.Duration {
return t.interval + internal.RandomDuration(t.jitter)
}
func (t *RollingTicker) run(ctx context.Context, timer *clock.Timer) {
for {
select {
case <-ctx.Done():
timer.Stop()
return
case now := <-timer.C:
select {
case t.ch <- now:
default:
}
d := t.next()
timer.Reset(d)
}
}
}
func (t *RollingTicker) Elapsed() <-chan time.Time {
return t.ch
}
func (t *RollingTicker) Stop() {
t.cancel()
t.wg.Wait()
}

View File

@ -1,251 +0,0 @@
package agent
import (
"fmt"
"strings"
"testing"
"time"
"github.com/benbjohnson/clock"
"github.com/stretchr/testify/require"
)
var format = "2006-01-02T15:04:05.999Z07:00"
func TestAlignedTicker(t *testing.T) {
interval := 10 * time.Second
jitter := 0 * time.Second
clock := clock.NewMock()
since := clock.Now()
until := since.Add(60 * time.Second)
ticker := newAlignedTicker(since, interval, jitter, clock)
expected := []time.Time{
time.Unix(10, 0).UTC(),
time.Unix(20, 0).UTC(),
time.Unix(30, 0).UTC(),
time.Unix(40, 0).UTC(),
time.Unix(50, 0).UTC(),
time.Unix(60, 0).UTC(),
}
actual := []time.Time{}
for !clock.Now().After(until) {
select {
case tm := <-ticker.Elapsed():
actual = append(actual, tm.UTC())
default:
}
clock.Add(10 * time.Second)
}
require.Equal(t, expected, actual)
}
func TestAlignedTickerJitter(t *testing.T) {
interval := 10 * time.Second
jitter := 5 * time.Second
clock := clock.NewMock()
since := clock.Now()
until := since.Add(60 * time.Second)
ticker := newAlignedTicker(since, interval, jitter, clock)
last := since
for !clock.Now().After(until) {
select {
case tm := <-ticker.Elapsed():
require.True(t, tm.Sub(last) <= 15*time.Second)
require.True(t, tm.Sub(last) >= 5*time.Second)
last = last.Add(interval)
default:
}
clock.Add(5 * time.Second)
}
}
func TestAlignedTickerMissedTick(t *testing.T) {
interval := 10 * time.Second
jitter := 0 * time.Second
clock := clock.NewMock()
since := clock.Now()
ticker := newAlignedTicker(since, interval, jitter, clock)
clock.Add(25 * time.Second)
tm := <-ticker.Elapsed()
require.Equal(t, time.Unix(10, 0).UTC(), tm.UTC())
clock.Add(5 * time.Second)
tm = <-ticker.Elapsed()
require.Equal(t, time.Unix(30, 0).UTC(), tm.UTC())
}
func TestUnalignedTicker(t *testing.T) {
interval := 10 * time.Second
jitter := 0 * time.Second
clock := clock.NewMock()
clock.Add(1 * time.Second)
since := clock.Now()
until := since.Add(60 * time.Second)
ticker := newUnalignedTicker(interval, jitter, clock)
expected := []time.Time{
time.Unix(1, 0).UTC(),
time.Unix(11, 0).UTC(),
time.Unix(21, 0).UTC(),
time.Unix(31, 0).UTC(),
time.Unix(41, 0).UTC(),
time.Unix(51, 0).UTC(),
time.Unix(61, 0).UTC(),
}
actual := []time.Time{}
for !clock.Now().After(until) {
select {
case tm := <-ticker.Elapsed():
actual = append(actual, tm.UTC())
default:
}
clock.Add(10 * time.Second)
}
require.Equal(t, expected, actual)
}
func TestRollingTicker(t *testing.T) {
interval := 10 * time.Second
jitter := 0 * time.Second
clock := clock.NewMock()
clock.Add(1 * time.Second)
since := clock.Now()
until := since.Add(60 * time.Second)
ticker := newUnalignedTicker(interval, jitter, clock)
expected := []time.Time{
time.Unix(1, 0).UTC(),
time.Unix(11, 0).UTC(),
time.Unix(21, 0).UTC(),
time.Unix(31, 0).UTC(),
time.Unix(41, 0).UTC(),
time.Unix(51, 0).UTC(),
time.Unix(61, 0).UTC(),
}
actual := []time.Time{}
for !clock.Now().After(until) {
select {
case tm := <-ticker.Elapsed():
actual = append(actual, tm.UTC())
default:
}
clock.Add(10 * time.Second)
}
require.Equal(t, expected, actual)
}
// Simulates running the Ticker for an hour and displays stats about the
// operation.
func TestAlignedTickerDistribution(t *testing.T) {
if testing.Short() {
t.Skip("skipping test in short mode.")
}
interval := 10 * time.Second
jitter := 5 * time.Second
clock := clock.NewMock()
since := clock.Now()
ticker := newAlignedTicker(since, interval, jitter, clock)
dist := simulatedDist(ticker, clock)
printDist(dist)
require.True(t, 350 < dist.Count)
require.True(t, 9 < dist.Mean() && dist.Mean() < 11)
}
// Simulates running the Ticker for an hour and displays stats about the
// operation.
func TestUnalignedTickerDistribution(t *testing.T) {
if testing.Short() {
t.Skip("skipping test in short mode.")
}
interval := 10 * time.Second
jitter := 5 * time.Second
clock := clock.NewMock()
ticker := newUnalignedTicker(interval, jitter, clock)
dist := simulatedDist(ticker, clock)
printDist(dist)
require.True(t, 350 < dist.Count)
require.True(t, 9 < dist.Mean() && dist.Mean() < 11)
}
// Simulates running the Ticker for an hour and displays stats about the
// operation.
func TestRollingTickerDistribution(t *testing.T) {
if testing.Short() {
t.Skip("skipping test in short mode.")
}
interval := 10 * time.Second
jitter := 5 * time.Second
clock := clock.NewMock()
ticker := newRollingTicker(interval, jitter, clock)
dist := simulatedDist(ticker, clock)
printDist(dist)
require.True(t, 275 < dist.Count)
require.True(t, 12 < dist.Mean() && 13 > dist.Mean())
}
type Distribution struct {
Buckets [60]int
Count int
Waittime float64
}
func (d *Distribution) Mean() float64 {
return d.Waittime / float64(d.Count)
}
func printDist(dist Distribution) {
for i, count := range dist.Buckets {
fmt.Printf("%2d %s\n", i, strings.Repeat("x", count))
}
fmt.Printf("Average interval: %f\n", dist.Mean())
fmt.Printf("Count: %d\n", dist.Count)
}
func simulatedDist(ticker Ticker, clock *clock.Mock) Distribution {
since := clock.Now()
until := since.Add(1 * time.Hour)
var dist Distribution
last := clock.Now()
for !clock.Now().After(until) {
select {
case tm := <-ticker.Elapsed():
dist.Buckets[tm.Second()] += 1
dist.Count++
dist.Waittime += tm.Sub(last).Seconds()
last = tm
default:
clock.Add(1 * time.Second)
}
}
return dist
}

View File

@ -5,7 +5,11 @@ package telegraf
// Add, Push, and Reset can not be called concurrently, so locking is not
// required when implementing an Aggregator plugin.
type Aggregator interface {
PluginDescriber
// SampleConfig returns the default configuration of the Input.
SampleConfig() string
// Description returns a one-sentence description on the Input.
Description() string
// Add the metric to the aggregator.
Add(in Metric)

View File

@ -1,35 +0,0 @@
version: "{build}"
image: Visual Studio 2019
cache:
- C:\gopath\pkg\mod -> go.sum
- C:\ProgramData\chocolatey\bin -> appveyor.yml
- C:\ProgramData\chocolatey\lib -> appveyor.yml
clone_folder: C:\gopath\src\github.com\influxdata\telegraf
environment:
GOPATH: C:\gopath
stack: go 1.14
platform: x64
install:
- choco install make
- cd "%GOPATH%\src\github.com\influxdata\telegraf"
- git config --system core.longpaths true
- go version
- go env
build_script:
- make deps
- make telegraf
test_script:
- make check
- make test-windows
artifacts:
- path: telegraf.exe

16
circle.yml Normal file
View File

@ -0,0 +1,16 @@
machine:
go:
version: 1.8.1
services:
- docker
- memcached
- redis
- rabbitmq-server
dependencies:
override:
- docker info
test:
override:
- bash scripts/circle-test.sh

View File

@ -1,8 +1,6 @@
package main
import (
"context"
"errors"
"flag"
"fmt"
"log"
@ -10,15 +8,12 @@ import (
_ "net/http/pprof" // Comment this line to disable pprof endpoint.
"os"
"os/signal"
"sort"
"runtime"
"strings"
"syscall"
"time"
"github.com/influxdata/telegraf/agent"
"github.com/influxdata/telegraf/config"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/internal/goplugin"
"github.com/influxdata/telegraf/internal/config"
"github.com/influxdata/telegraf/logger"
_ "github.com/influxdata/telegraf/plugins/aggregators/all"
"github.com/influxdata/telegraf/plugins/inputs"
@ -26,26 +21,23 @@ import (
"github.com/influxdata/telegraf/plugins/outputs"
_ "github.com/influxdata/telegraf/plugins/outputs/all"
_ "github.com/influxdata/telegraf/plugins/processors/all"
"github.com/kardianos/service"
)
// If you update these, update usage.go and usage_windows.go
var fDebug = flag.Bool("debug", false,
"turn on debug logging")
var pprofAddr = flag.String("pprof-addr", "",
"pprof address to listen on, not activate pprof if empty")
var fQuiet = flag.Bool("quiet", false,
"run in quiet mode")
var fTest = flag.Bool("test", false, "enable test mode: gather metrics, print them out, and exit. Note: Test mode only runs inputs, not processors, aggregators, or outputs")
var fTestWait = flag.Int("test-wait", 0, "wait up to this many seconds for service inputs to complete in test mode")
var fTest = flag.Bool("test", false, "gather metrics, print them out, and exit")
var fConfig = flag.String("config", "", "configuration file to load")
var fConfigDirectory = flag.String("config-directory", "",
"directory containing additional *.conf files")
var fVersion = flag.Bool("version", false, "display the version and exit")
var fVersion = flag.Bool("version", false, "display the version")
var fSampleConfig = flag.Bool("sample-config", false,
"print out full sample configuration")
var fPidfile = flag.String("pidfile", "", "file to write our pid to")
var fSectionFilters = flag.String("section-filter", "",
"filter the sections to print, separator is ':'. Valid values are 'agent', 'global_tags', 'outputs', 'processors', 'aggregators' and 'inputs'")
var fInputFilters = flag.String("input-filter", "",
"filter the inputs to enable, separator is :")
var fInputList = flag.Bool("input-list", false,
@ -59,25 +51,74 @@ var fAggregatorFilters = flag.String("aggregator-filter", "",
var fProcessorFilters = flag.String("processor-filter", "",
"filter the processors to enable, separator is :")
var fUsage = flag.String("usage", "",
"print usage for a plugin, ie, 'telegraf --usage mysql'")
"print usage for a plugin, ie, 'telegraf -usage mysql'")
var fService = flag.String("service", "",
"operate on the service (windows only)")
var fServiceName = flag.String("service-name", "telegraf", "service name (windows only)")
var fServiceDisplayName = flag.String("service-display-name", "Telegraf Data Collector Service", "service display name (windows only)")
var fRunAsConsole = flag.Bool("console", false, "run as console application (windows only)")
var fPlugins = flag.String("plugin-directory", "",
"path to directory containing external plugins")
var fRunOnce = flag.Bool("once", false, "run one gather and exit")
"operate on the service")
// Telegraf version, populated linker.
// ie, -ldflags "-X main.version=`git describe --always --tags`"
var (
version string
commit string
branch string
)
func init() {
// If commit or branch are not set, make that clear.
if commit == "" {
commit = "unknown"
}
if branch == "" {
branch = "unknown"
}
}
const usage = `Telegraf, The plugin-driven server agent for collecting and reporting metrics.
Usage:
telegraf [commands|flags]
The commands & flags are:
config print out full sample configuration to stdout
version print the version to stdout
--config <file> configuration file to load
--test gather metrics once, print them to stdout, and exit
--config-directory directory containing additional *.conf files
--input-filter filter the input plugins to enable, separator is :
--output-filter filter the output plugins to enable, separator is :
--usage print usage for a plugin, ie, 'telegraf --usage mysql'
--debug print metrics as they're generated to stdout
--pprof-addr pprof address to listen on, format: localhost:6060 or :6060
--quiet run in quiet mode
Examples:
# generate a telegraf config file:
telegraf config > telegraf.conf
# generate config with only cpu input & influxdb output plugins defined
telegraf --input-filter cpu --output-filter influxdb config
# run a single telegraf collection, outputing metrics to stdout
telegraf --config telegraf.conf -test
# run telegraf with all plugins defined in config file
telegraf --config telegraf.conf
# run telegraf, enabling the cpu & memory input, and influxdb output plugins
telegraf --config telegraf.conf --input-filter cpu:mem --output-filter influxdb
# run telegraf with pprof
telegraf --config telegraf.conf --pprof-addr localhost:6060
`
var stop chan struct{}
func reloadLoop(
stop chan struct{},
inputFilters []string,
outputFilters []string,
aggregatorFilters []string,
@ -88,151 +129,129 @@ func reloadLoop(
for <-reload {
reload <- false
ctx, cancel := context.WithCancel(context.Background())
// If no other options are specified, load the config file and run.
c := config.NewConfig()
c.OutputFilters = outputFilters
c.InputFilters = inputFilters
err := c.LoadConfig(*fConfig)
if err != nil {
log.Fatal("E! " + err.Error())
}
signals := make(chan os.Signal, 1)
signal.Notify(signals, os.Interrupt, syscall.SIGHUP,
syscall.SIGTERM, syscall.SIGINT)
if *fConfigDirectory != "" {
err = c.LoadDirectory(*fConfigDirectory)
if err != nil {
log.Fatal("E! " + err.Error())
}
}
if !*fTest && len(c.Outputs) == 0 {
log.Fatalf("E! Error: no outputs found, did you provide a valid config file?")
}
if len(c.Inputs) == 0 {
log.Fatalf("E! Error: no inputs found, did you provide a valid config file?")
}
ag, err := agent.NewAgent(c)
if err != nil {
log.Fatal("E! " + err.Error())
}
// Setup logging
logger.SetupLogging(
ag.Config.Agent.Debug || *fDebug,
ag.Config.Agent.Quiet || *fQuiet,
ag.Config.Agent.Logfile,
)
if *fTest {
err = ag.Test()
if err != nil {
log.Fatal("E! " + err.Error())
}
os.Exit(0)
}
err = ag.Connect()
if err != nil {
log.Fatal("E! " + err.Error())
}
shutdown := make(chan struct{})
signals := make(chan os.Signal)
signal.Notify(signals, os.Interrupt, syscall.SIGHUP)
go func() {
select {
case sig := <-signals:
if sig == os.Interrupt {
close(shutdown)
}
if sig == syscall.SIGHUP {
log.Printf("I! Reloading Telegraf config")
log.Printf("I! Reloading Telegraf config\n")
<-reload
reload <- true
close(shutdown)
}
cancel()
case <-stop:
cancel()
close(shutdown)
}
}()
err := runAgent(ctx, inputFilters, outputFilters)
if err != nil && err != context.Canceled {
log.Fatalf("E! [telegraf] Error running agent: %v", err)
log.Printf("I! Starting Telegraf (version %s)\n", version)
log.Printf("I! Loaded outputs: %s", strings.Join(c.OutputNames(), " "))
log.Printf("I! Loaded inputs: %s", strings.Join(c.InputNames(), " "))
log.Printf("I! Tags enabled: %s", c.ListTags())
if *fPidfile != "" {
f, err := os.OpenFile(*fPidfile, os.O_CREATE|os.O_WRONLY, 0644)
if err != nil {
log.Printf("E! Unable to create pidfile: %s", err)
} else {
fmt.Fprintf(f, "%d\n", os.Getpid())
f.Close()
defer func() {
err := os.Remove(*fPidfile)
if err != nil {
log.Printf("E! Unable to remove pidfile: %s", err)
}
}()
}
}
ag.Run(shutdown)
}
}
func runAgent(ctx context.Context,
inputFilters []string,
outputFilters []string,
) error {
log.Printf("I! Starting Telegraf %s", version)
// If no other options are specified, load the config file and run.
c := config.NewConfig()
c.OutputFilters = outputFilters
c.InputFilters = inputFilters
err := c.LoadConfig(*fConfig)
if err != nil {
return err
}
if *fConfigDirectory != "" {
err = c.LoadDirectory(*fConfigDirectory)
if err != nil {
return err
}
}
if !*fTest && len(c.Outputs) == 0 {
return errors.New("Error: no outputs found, did you provide a valid config file?")
}
if *fPlugins == "" && len(c.Inputs) == 0 {
return errors.New("Error: no inputs found, did you provide a valid config file?")
}
if int64(c.Agent.Interval.Duration) <= 0 {
return fmt.Errorf("Agent interval must be positive, found %s",
c.Agent.Interval.Duration)
}
if int64(c.Agent.FlushInterval.Duration) <= 0 {
return fmt.Errorf("Agent flush_interval must be positive; found %s",
c.Agent.Interval.Duration)
}
ag, err := agent.NewAgent(c)
if err != nil {
return err
}
// Setup logging as configured.
logConfig := logger.LogConfig{
Debug: ag.Config.Agent.Debug || *fDebug,
Quiet: ag.Config.Agent.Quiet || *fQuiet,
LogTarget: ag.Config.Agent.LogTarget,
Logfile: ag.Config.Agent.Logfile,
RotationInterval: ag.Config.Agent.LogfileRotationInterval,
RotationMaxSize: ag.Config.Agent.LogfileRotationMaxSize,
RotationMaxArchives: ag.Config.Agent.LogfileRotationMaxArchives,
}
logger.SetupLogging(logConfig)
if *fRunOnce {
wait := time.Duration(*fTestWait) * time.Second
return ag.Once(ctx, wait)
}
if *fTest || *fTestWait != 0 {
wait := time.Duration(*fTestWait) * time.Second
return ag.Test(ctx, wait)
}
log.Printf("I! Loaded inputs: %s", strings.Join(c.InputNames(), " "))
log.Printf("I! Loaded aggregators: %s", strings.Join(c.AggregatorNames(), " "))
log.Printf("I! Loaded processors: %s", strings.Join(c.ProcessorNames(), " "))
log.Printf("I! Loaded outputs: %s", strings.Join(c.OutputNames(), " "))
log.Printf("I! Tags enabled: %s", c.ListTags())
if *fPidfile != "" {
f, err := os.OpenFile(*fPidfile, os.O_CREATE|os.O_WRONLY, 0644)
if err != nil {
log.Printf("E! Unable to create pidfile: %s", err)
} else {
fmt.Fprintf(f, "%d\n", os.Getpid())
f.Close()
defer func() {
err := os.Remove(*fPidfile)
if err != nil {
log.Printf("E! Unable to remove pidfile: %s", err)
}
}()
}
}
return ag.Run(ctx)
}
func usageExit(rc int) {
fmt.Println(internal.Usage)
fmt.Println(usage)
os.Exit(rc)
}
func formatFullVersion() string {
var parts = []string{"Telegraf"}
type program struct {
inputFilters []string
outputFilters []string
aggregatorFilters []string
processorFilters []string
}
if version != "" {
parts = append(parts, version)
} else {
parts = append(parts, "unknown")
}
if branch != "" || commit != "" {
if branch == "" {
branch = "unknown"
}
if commit == "" {
commit = "unknown"
}
git := fmt.Sprintf("(git: %s %s)", branch, commit)
parts = append(parts, git)
}
return strings.Join(parts, " ")
func (p *program) Start(s service.Service) error {
go p.run()
return nil
}
func (p *program) run() {
stop = make(chan struct{})
reloadLoop(
stop,
p.inputFilters,
p.outputFilters,
p.aggregatorFilters,
p.processorFilters,
)
}
func (p *program) Stop(s service.Service) error {
close(stop)
return nil
}
func main() {
@ -240,10 +259,7 @@ func main() {
flag.Parse()
args := flag.Args()
sectionFilters, inputFilters, outputFilters := []string{}, []string{}, []string{}
if *fSectionFilters != "" {
sectionFilters = strings.Split(":"+strings.TrimSpace(*fSectionFilters)+":", ":")
}
inputFilters, outputFilters := []string{}, []string{}
if *fInputFilters != "" {
inputFilters = strings.Split(":"+strings.TrimSpace(*fInputFilters)+":", ":")
}
@ -259,16 +275,6 @@ func main() {
processorFilters = strings.Split(":"+strings.TrimSpace(*fProcessorFilters)+":", ":")
}
logger.SetupLogging(logger.LogConfig{})
// Load external plugins, if requested.
if *fPlugins != "" {
log.Printf("I! Loading external plugins from: %s", *fPlugins)
if err := goplugin.LoadExternalPlugins(*fPlugins); err != nil {
log.Fatal("E! " + err.Error())
}
}
if *pprofAddr != "" {
go func() {
pprofHostPort := *pprofAddr
@ -289,11 +295,10 @@ func main() {
if len(args) > 0 {
switch args[0] {
case "version":
fmt.Println(formatFullVersion())
fmt.Printf("Telegraf v%s (git: %s %s)\n", version, branch, commit)
return
case "config":
config.PrintSampleConfig(
sectionFilters,
inputFilters,
outputFilters,
aggregatorFilters,
@ -306,33 +311,22 @@ func main() {
// switch for flags which just do something and exit immediately
switch {
case *fOutputList:
fmt.Println("Available Output Plugins: ")
names := make([]string, 0, len(outputs.Outputs))
for k := range outputs.Outputs {
names = append(names, k)
}
sort.Strings(names)
for _, k := range names {
fmt.Println("Available Output Plugins:")
for k, _ := range outputs.Outputs {
fmt.Printf(" %s\n", k)
}
return
case *fInputList:
fmt.Println("Available Input Plugins:")
names := make([]string, 0, len(inputs.Inputs))
for k := range inputs.Inputs {
names = append(names, k)
}
sort.Strings(names)
for _, k := range names {
for k, _ := range inputs.Inputs {
fmt.Printf(" %s\n", k)
}
return
case *fVersion:
fmt.Println(formatFullVersion())
fmt.Printf("Telegraf v%s (git: %s %s)\n", version, branch, commit)
return
case *fSampleConfig:
config.PrintSampleConfig(
sectionFilters,
inputFilters,
outputFilters,
aggregatorFilters,
@ -348,20 +342,53 @@ func main() {
return
}
shortVersion := version
if shortVersion == "" {
shortVersion = "unknown"
}
if runtime.GOOS == "windows" {
svcConfig := &service.Config{
Name: "telegraf",
DisplayName: "Telegraf Data Collector Service",
Description: "Collects data using a series of plugins and publishes it to" +
"another series of plugins.",
Arguments: []string{"-config", "C:\\Program Files\\Telegraf\\telegraf.conf"},
}
// Configure version
if err := internal.SetVersion(shortVersion); err != nil {
log.Println("Telegraf version already configured to: " + internal.Version())
prg := &program{
inputFilters: inputFilters,
outputFilters: outputFilters,
aggregatorFilters: aggregatorFilters,
processorFilters: processorFilters,
}
s, err := service.New(prg, svcConfig)
if err != nil {
log.Fatal("E! " + err.Error())
}
// Handle the -service flag here to prevent any issues with tooling that
// may not have an interactive session, e.g. installing from Ansible.
if *fService != "" {
if *fConfig != "" {
(*svcConfig).Arguments = []string{"-config", *fConfig}
}
if *fConfigDirectory != "" {
(*svcConfig).Arguments = append((*svcConfig).Arguments, "-config-directory", *fConfigDirectory)
}
err := service.Control(s, *fService)
if err != nil {
log.Fatal("E! " + err.Error())
}
os.Exit(0)
} else {
err = s.Run()
if err != nil {
log.Println("E! " + err.Error())
}
}
} else {
stop = make(chan struct{})
reloadLoop(
stop,
inputFilters,
outputFilters,
aggregatorFilters,
processorFilters,
)
}
run(
inputFilters,
outputFilters,
aggregatorFilters,
processorFilters,
)
}

View File

@ -1,13 +0,0 @@
// +build !windows
package main
func run(inputFilters, outputFilters, aggregatorFilters, processorFilters []string) {
stop = make(chan struct{})
reloadLoop(
inputFilters,
outputFilters,
aggregatorFilters,
processorFilters,
)
}

View File

@ -1,124 +0,0 @@
// +build windows
package main
import (
"log"
"os"
"runtime"
"github.com/influxdata/telegraf/logger"
"github.com/kardianos/service"
)
func run(inputFilters, outputFilters, aggregatorFilters, processorFilters []string) {
if runtime.GOOS == "windows" && windowsRunAsService() {
runAsWindowsService(
inputFilters,
outputFilters,
aggregatorFilters,
processorFilters,
)
} else {
stop = make(chan struct{})
reloadLoop(
inputFilters,
outputFilters,
aggregatorFilters,
processorFilters,
)
}
}
type program struct {
inputFilters []string
outputFilters []string
aggregatorFilters []string
processorFilters []string
}
func (p *program) Start(s service.Service) error {
go p.run()
return nil
}
func (p *program) run() {
stop = make(chan struct{})
reloadLoop(
p.inputFilters,
p.outputFilters,
p.aggregatorFilters,
p.processorFilters,
)
}
func (p *program) Stop(s service.Service) error {
close(stop)
return nil
}
func runAsWindowsService(inputFilters, outputFilters, aggregatorFilters, processorFilters []string) {
programFiles := os.Getenv("ProgramFiles")
if programFiles == "" { // Should never happen
programFiles = "C:\\Program Files"
}
svcConfig := &service.Config{
Name: *fServiceName,
DisplayName: *fServiceDisplayName,
Description: "Collects data using a series of plugins and publishes it to " +
"another series of plugins.",
Arguments: []string{"--config", programFiles + "\\Telegraf\\telegraf.conf"},
}
prg := &program{
inputFilters: inputFilters,
outputFilters: outputFilters,
aggregatorFilters: aggregatorFilters,
processorFilters: processorFilters,
}
s, err := service.New(prg, svcConfig)
if err != nil {
log.Fatal("E! " + err.Error())
}
// Handle the --service flag here to prevent any issues with tooling that
// may not have an interactive session, e.g. installing from Ansible.
if *fService != "" {
if *fConfig != "" {
svcConfig.Arguments = []string{"--config", *fConfig}
}
if *fConfigDirectory != "" {
svcConfig.Arguments = append(svcConfig.Arguments, "--config-directory", *fConfigDirectory)
}
//set servicename to service cmd line, to have a custom name after relaunch as a service
svcConfig.Arguments = append(svcConfig.Arguments, "--service-name", *fServiceName)
err := service.Control(s, *fService)
if err != nil {
log.Fatal("E! " + err.Error())
}
os.Exit(0)
} else {
winlogger, err := s.Logger(nil)
if err == nil {
//When in service mode, register eventlog target andd setup default logging to eventlog
logger.RegisterEventLogger(winlogger)
logger.SetupLogging(logger.LogConfig{LogTarget: logger.LogTargetEventlog})
}
err = s.Run()
if err != nil {
log.Println("E! " + err.Error())
}
}
}
// Return true if Telegraf should create a Windows service.
func windowsRunAsService() bool {
if *fService != "" {
return true
}
if *fRunAsConsole {
return false
}
return !service.Interactive()
}

View File

@ -1,7 +0,0 @@
[[outputs.http]]
headers = { Authorization = "Token $TOKEN",Content-Type = "application/json" }
taginclude = ["org_id"]
[[outputs.http]]
headers = { Authorization = "Token $TOKEN",Content-Type = "application/json" }
taginclude = ["org_id"]

View File

@ -1,2 +0,0 @@
[[inputs.http_listener_v2]]
not_a_field = true

View File

@ -1,4 +0,0 @@
[[outputs.http]]
[outputs.http.headers]
Content-Type = "application/json"
taginclude = ["org_id"]

View File

@ -1,5 +0,0 @@
[[outputs.http]]
scopes = [
# comment
"test" # comment
]

View File

@ -1,9 +0,0 @@
[[inputs.http_listener_v2]]
write_timeout = "1s"
max_body_size = "1MiB"
tls_cert = """
/path/to/my/cert
"""
tls_key = '''
/path/to/my/key
'''

View File

@ -1,2 +0,0 @@
[[inputs.http_listener_v2]]
port = "80"

View File

@ -1,2 +0,0 @@
[[inputs.http_listener_v2]]
methods = "POST"

View File

@ -1,88 +0,0 @@
package config
import (
"bytes"
"strconv"
"time"
"github.com/alecthomas/units"
)
// Duration is a time.Duration
type Duration time.Duration
// Size is an int64
type Size int64
// Number is a float
type Number float64
// UnmarshalTOML parses the duration from the TOML config file
func (d Duration) UnmarshalTOML(b []byte) error {
var err error
b = bytes.Trim(b, `'`)
// see if we can directly convert it
dur, err := time.ParseDuration(string(b))
if err == nil {
d = Duration(dur)
return nil
}
// Parse string duration, ie, "1s"
if uq, err := strconv.Unquote(string(b)); err == nil && len(uq) > 0 {
dur, err := time.ParseDuration(uq)
if err == nil {
d = Duration(dur)
return nil
}
}
// First try parsing as integer seconds
sI, err := strconv.ParseInt(string(b), 10, 64)
if err == nil {
dur := time.Second * time.Duration(sI)
d = Duration(dur)
return nil
}
// Second try parsing as float seconds
sF, err := strconv.ParseFloat(string(b), 64)
if err == nil {
dur := time.Second * time.Duration(sF)
d = Duration(dur)
return nil
}
return nil
}
func (s Size) UnmarshalTOML(b []byte) error {
var err error
b = bytes.Trim(b, `'`)
val, err := strconv.ParseInt(string(b), 10, 64)
if err == nil {
s = Size(val)
return nil
}
uq, err := strconv.Unquote(string(b))
if err != nil {
return err
}
val, err = units.ParseStrictBytes(uq)
if err != nil {
return err
}
s = Size(val)
return nil
}
func (n Number) UnmarshalTOML(b []byte) error {
value, err := strconv.ParseFloat(string(b), 64)
if err != nil {
return err
}
n = Number(value)
return nil
}

View File

@ -1,102 +0,0 @@
version: '3'
services:
aerospike:
image: aerospike/aerospike-server:3.9.0
ports:
- "3000:3000"
zookeeper:
image: wurstmeister/zookeeper
environment:
- JAVA_OPTS="-Xms256m -Xmx256m"
ports:
- "2181:2181"
kafka:
image: wurstmeister/kafka
environment:
- KAFKA_ADVERTISED_HOST_NAME=localhost
- KAFKA_ADVERTISED_PORT=9092
- KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181
- KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=1
- JAVA_OPTS="-Xms256m -Xmx256m"
ports:
- "9092:9092"
depends_on:
- zookeeper
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
environment:
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
- discovery.type=single-node
- xpack.security.enabled=false
ports:
- "9200:9200"
mysql:
image: mysql
environment:
- MYSQL_ALLOW_EMPTY_PASSWORD=yes
ports:
- "3306:3306"
memcached:
image: memcached
ports:
- "11211:11211"
pgbouncer:
image: mbentley/ubuntu-pgbouncer
environment:
- PG_ENV_POSTGRESQL_USER=pgbouncer
- PG_ENV_POSTGRESQL_PASS=pgbouncer
ports:
- "6432:6432"
postgres:
image: postgres:alpine
environment:
- POSTGRES_HOST_AUTH_METHOD=trust
ports:
- "5432:5432"
rabbitmq:
image: rabbitmq:3-management
ports:
- "15672:15672"
- "5672:5672"
redis:
image: redis:alpine
ports:
- "6379:6379"
nsq:
image: nsqio/nsq
ports:
- "4150:4150"
command: "/nsqd"
mqtt:
image: ncarlier/mqtt
ports:
- "1883:1883"
riemann:
image: stealthly/docker-riemann
ports:
- "5555:5555"
nats:
image: nats
ports:
- "4222:4222"
openldap:
image: cobaugh/openldap-alpine
environment:
- SLAPD_CONFIG_ROOTDN="cn=manager,cn=config"
- SLAPD_CONFIG_ROOTPW="secret"
ports:
- "389:389"
- "636:636"
crate:
image: crate/crate
ports:
- "4200:4200"
- "4230:4230"
- "6543:5432"
command:
- crate
- -Cnetwork.host=0.0.0.0
- -Ctransport.host=localhost
environment:
- CRATE_HEAP_SIZE=128m

View File

@ -1,132 +0,0 @@
### Aggregator Plugins
This section is for developers who want to create a new aggregator plugin.
### Aggregator Plugin Guidelines
* A aggregator must conform to the [telegraf.Aggregator][] interface.
* Aggregators should call `aggregators.Add` in their `init` function to
register themselves. See below for a quick example.
* To be available within Telegraf itself, plugins must add themselves to the
`github.com/influxdata/telegraf/plugins/aggregators/all/all.go` file.
- The `SampleConfig` function should return valid toml that describes how the
plugin can be configured. This is included in `telegraf config`. Please
consult the [SampleConfig][] page for the latest style guidelines.
* The `Description` function should say in one line what this aggregator does.
* The Aggregator plugin will need to keep caches of metrics that have passed
through it. This should be done using the builtin `HashID()` function of
each metric.
* When the `Reset()` function is called, all caches should be cleared.
- Follow the recommended [CodeStyle][].
### Aggregator Plugin Example
```go
package min
// min.go
import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/aggregators"
)
type Min struct {
// caches for metric fields, names, and tags
fieldCache map[uint64]map[string]float64
nameCache map[uint64]string
tagCache map[uint64]map[string]string
}
func NewMin() telegraf.Aggregator {
m := &Min{}
m.Reset()
return m
}
var sampleConfig = `
## period is the flush & clear interval of the aggregator.
period = "30s"
## If true drop_original will drop the original metrics and
## only send aggregates.
drop_original = false
`
func (m *Min) Init() error {
return nil
}
func (m *Min) SampleConfig() string {
return sampleConfig
}
func (m *Min) Description() string {
return "Keep the aggregate min of each metric passing through."
}
func (m *Min) Add(in telegraf.Metric) {
id := in.HashID()
if _, ok := m.nameCache[id]; !ok {
// hit an uncached metric, create caches for first time:
m.nameCache[id] = in.Name()
m.tagCache[id] = in.Tags()
m.fieldCache[id] = make(map[string]float64)
for k, v := range in.Fields() {
if fv, ok := convert(v); ok {
m.fieldCache[id][k] = fv
}
}
} else {
for k, v := range in.Fields() {
if fv, ok := convert(v); ok {
if _, ok := m.fieldCache[id][k]; !ok {
// hit an uncached field of a cached metric
m.fieldCache[id][k] = fv
continue
}
if fv < m.fieldCache[id][k] {
// set new minimum
m.fieldCache[id][k] = fv
}
}
}
}
}
func (m *Min) Push(acc telegraf.Accumulator) {
for id, _ := range m.nameCache {
fields := map[string]interface{}{}
for k, v := range m.fieldCache[id] {
fields[k+"_min"] = v
}
acc.AddFields(m.nameCache[id], fields, m.tagCache[id])
}
}
func (m *Min) Reset() {
m.fieldCache = make(map[uint64]map[string]float64)
m.nameCache = make(map[uint64]string)
m.tagCache = make(map[uint64]map[string]string)
}
func convert(in interface{}) (float64, bool) {
switch v := in.(type) {
case float64:
return v, true
case int64:
return float64(v), true
default:
return 0, false
}
}
func init() {
aggregators.Add("min", func() telegraf.Aggregator {
return NewMin()
})
}
```
[telegraf.Aggregator]: https://godoc.org/github.com/influxdata/telegraf#Aggregator
[SampleConfig]: https://github.com/influxdata/telegraf/wiki/SampleConfig
[CodeStyle]: https://github.com/influxdata/telegraf/wiki/CodeStyle

View File

@ -39,20 +39,13 @@ metrics as they pass through Telegraf:
Both Aggregators and Processors analyze metrics as they pass through Telegraf.
Use [measurement filtering](CONFIGURATION.md#measurement-filtering)
to control which metrics are passed through a processor or aggregator. If a
metric is filtered out the metric bypasses the plugin and is passed downstream
to the next plugin.
### Processor
Processor plugins process metrics as they pass through and immediately emit
**Processor** plugins process metrics as they pass through and immediately emit
results based on the values they process. For example, this could be printing
all metrics or adding a tag to all metrics that pass through.
### Aggregator
Aggregator plugins, on the other hand, are a bit more complicated. Aggregators
**Aggregator** plugins, on the other hand, are a bit more complicated. Aggregators
are typically for emitting new _aggregate_ metrics, such as a running mean,
minimum, maximum, or standard deviation. For this reason, all _aggregator_
minimum, maximum, quantiles, or standard deviation. For this reason, all _aggregator_
plugins are configured with a `period`. The `period` is the size of the window
of metrics that each _aggregate_ represents. In other words, the emitted
_aggregate_ metric will be the aggregated value of the past `period` seconds.
@ -60,8 +53,7 @@ Since many users will only care about their aggregates and not every single metr
gathered, there is also a `drop_original` argument, which tells Telegraf to only
emit the aggregates and not the original metrics.
Since aggregates are created for each measurement, field, and unique tag combination
the plugin receives, you can make use of `taginclude` to group
aggregates by specific tags only.
**Note:** Aggregator plugins only aggregate metrics within their periods (`now() - period`). Data with a timestamp earlier than `now() - period` cannot be included.
**NOTE** That since aggregators only aggregate metrics within their period, that
historical data is not supported. In other words, if your metric timestamp is more
than `now() - period` in the past, it will not be aggregated. If this is a feature
that you need, please comment on this [github issue](https://github.com/influxdata/telegraf/issues/1992)

View File

@ -1,462 +1,198 @@
# Configuration
# Telegraf Configuration
Telegraf's configuration file is written using [TOML][] and is composed of
three sections: [global tags][], [agent][] settings, and [plugins][].
You can see the latest config file with all available plugins here:
[telegraf.conf](https://github.com/influxdata/telegraf/blob/master/etc/telegraf.conf)
View the default [telegraf.conf][] config file with all available plugins.
## Generating a Configuration File
### Generating a Configuration File
A default Telegraf config file can be auto-generated by telegraf:
A default config file can be generated by telegraf:
```sh
```
telegraf config > telegraf.conf
```
To generate a file with specific inputs and outputs, you can use the
--input-filter and --output-filter flags:
```sh
```
telegraf --input-filter cpu:mem:net:swap --output-filter influxdb:kafka config
```
### Configuration Loading
## Environment Variables
Environment variables can be used anywhere in the config file, simply prepend
them with $. For strings the variable must be within quotes (ie, "$STR_VAR"),
for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR)
## Configuration file locations
The location of the configuration file can be set via the `--config` command
line flag.
When the `--config-directory` command line flag is used files ending with
`.conf` in the specified directory will also be included in the Telegraf
configuration.
line flag. Telegraf will also pick up all files matching the pattern `*.conf` if
the `-config-directory` command line flag is used.
On most systems, the default locations are `/etc/telegraf/telegraf.conf` for
the main configuration file and `/etc/telegraf/telegraf.d` for the directory of
configuration files.
### Environment Variables
# Global Tags
Environment variables can be used anywhere in the config file, simply surround
them with `${}`. Replacement occurs before file parsing. For strings
the variable must be within quotes, e.g., `"${STR_VAR}"`, for numbers and booleans
they should be unquoted, e.g., `${INT_VAR}`, `${BOOL_VAR}`.
Global tags can be specified in the `[global_tags]` section of the config file
in key="value" format. All metrics being gathered on this host will be tagged
with the tags specified here.
When using the `.deb` or `.rpm` packages, you can define environment variables
in the `/etc/default/telegraf` file.
## Agent Configuration
**Example**:
Telegraf has a few options you can configure under the `[agent]` section of the
config.
`/etc/default/telegraf`:
```
USER="alice"
INFLUX_URL="http://localhost:8086"
INFLUX_SKIP_DATABASE_CREATION="true"
INFLUX_PASSWORD="monkey123"
```
* **interval**: Default data collection interval for all inputs
* **round_interval**: Rounds collection interval to 'interval'
ie, if interval="10s" then always collect on :00, :10, :20, etc.
* **metric_batch_size**: Telegraf will send metrics to output in batch of at
most metric_batch_size metrics.
* **metric_buffer_limit**: Telegraf will cache metric_buffer_limit metrics
for each output, and will flush this buffer on a successful write.
This should be a multiple of metric_batch_size and could not be less
than 2 times metric_batch_size.
* **collection_jitter**: Collection jitter is used to jitter
the collection by a random amount.
Each plugin will sleep for a random time within jitter before collecting.
This can be used to avoid many plugins querying things like sysfs at the
same time, which can have a measurable effect on the system.
* **flush_interval**: Default data flushing interval for all outputs.
You should not set this below
interval. Maximum flush_interval will be flush_interval + flush_jitter
* **flush_jitter**: Jitter the flush interval by a random amount.
This is primarily to avoid
large write spikes for users running a large number of telegraf instances.
ie, a jitter of 5s and flush_interval 10s means flushes will happen every 10-15s.
* **precision**: By default, precision will be set to the same timestamp order
as the collection interval, with the maximum being 1s. Precision will NOT
be used for service inputs, such as logparser and statsd. Valid values are
"ns", "us" (or "µs"), "ms", "s".
* **logfile**: Specify the log file name. The empty string means to log to stderr.
* **debug**: Run telegraf in debug mode.
* **quiet**: Run telegraf in quiet mode (error messages only).
* **hostname**: Override default hostname, if empty use os.Hostname().
* **omit_hostname**: If true, do no set the "host" tag in the telegraf agent.
## Input Configuration
The following config parameters are available for all inputs:
* **interval**: How often to gather this metric. Normal plugins use a single
global interval, but if one particular input should be run less or more often,
you can configure that here.
* **name_override**: Override the base name of the measurement.
(Default is the name of the input).
* **name_prefix**: Specifies a prefix to attach to the measurement name.
* **name_suffix**: Specifies a suffix to attach to the measurement name.
* **tags**: A map of tags to apply to a specific input's measurements.
## Output Configuration
There are no generic configuration options available for all outputs.
## Aggregator Configuration
The following config parameters are available for all aggregators:
* **period**: The period on which to flush & clear each aggregator. All metrics
that are sent with timestamps outside of this period will be ignored by the
aggregator.
* **delay**: The delay before each aggregator is flushed. This is to control
how long for aggregators to wait before receiving metrics from input plugins,
in the case that aggregators are flushing and inputs are gathering on the
same interval.
* **drop_original**: If true, the original metric will be dropped by the
aggregator and will not get sent to the output plugins.
* **name_override**: Override the base name of the measurement.
(Default is the name of the input).
* **name_prefix**: Specifies a prefix to attach to the measurement name.
* **name_suffix**: Specifies a suffix to attach to the measurement name.
* **tags**: A map of tags to apply to a specific input's measurements.
## Processor Configuration
The following config parameters are available for all processors:
* **order**: This is the order in which the processor(s) get executed. If this
is not specified then processor execution order will be random.
#### Measurement Filtering
Filters can be configured per input, output, processor, or aggregator,
see below for examples.
* **namepass**:
An array of glob pattern strings. Only points whose measurement name matches
a pattern in this list are emitted.
* **namedrop**:
The inverse of `namepass`. If a match is found the point is discarded. This
is tested on points after they have passed the `namepass` test.
* **fieldpass**:
An array of glob pattern strings. Only fields whose field key matches a
pattern in this list are emitted. Not available for outputs.
* **fielddrop**:
The inverse of `fieldpass`. Fields with a field key matching one of the
patterns will be discarded from the point. Not available for outputs.
* **tagpass**:
A table mapping tag keys to arrays of glob pattern strings. Only points
that contain a tag key in the table and a tag value matching one of its
patterns is emitted.
* **tagdrop**:
The inverse of `tagpass`. If a match is found the point is discarded. This
is tested on points after they have passed the `tagpass` test.
* **taginclude**:
An array of glob pattern strings. Only tags with a tag key matching one of
the patterns are emitted. In contrast to `tagpass`, which will pass an entire
point based on its tag, `taginclude` removes all non matching tags from the
point. This filter can be used on both inputs & outputs, but it is
_recommended_ to be used on inputs, as it is more efficient to filter out tags
at the ingestion point.
* **tagexclude**:
The inverse of `taginclude`. Tags with a tag key matching one of the patterns
will be discarded from the point.
**NOTE** Due to the way TOML is parsed, `tagpass` and `tagdrop` parameters
must be defined at the _end_ of the plugin definition, otherwise subsequent
plugin config options will be interpreted as part of the tagpass/tagdrop
tables.
#### Input Configuration Examples
This is a full working config that will output CPU data to an InfluxDB instance
at 192.168.59.103:8086, tagging measurements with dc="denver-1". It will output
measurements at a 10s interval and will collect per-cpu data, dropping any
fields which begin with `time_`.
`/etc/telegraf.conf`:
```toml
[global_tags]
user = "${USER}"
dc = "denver-1"
[[inputs.mem]]
[[outputs.influxdb]]
urls = ["${INFLUX_URL}"]
skip_database_creation = ${INFLUX_SKIP_DATABASE_CREATION}
password = "${INFLUX_PASSWORD}"
```
The above files will produce the following effective configuration file to be
parsed:
```toml
[global_tags]
user = "alice"
[[outputs.influxdb]]
urls = "http://localhost:8086"
skip_database_creation = true
password = "monkey123"
```
### Intervals
Intervals are durations of time and can be specified for supporting settings by
combining an integer value and time unit as a string value. Valid time units are
`ns`, `us` (or `µs`), `ms`, `s`, `m`, `h`.
```toml
[agent]
interval = "10s"
```
### Global Tags
Global tags can be specified in the `[global_tags]` table in key="value"
format. All metrics that are gathered will be tagged with the tags specified.
```toml
[global_tags]
dc = "us-east-1"
```
### Agent
The agent table configures Telegraf and the defaults used across all plugins.
- **interval**: Default data collection [interval][] for all inputs.
- **round_interval**: Rounds collection interval to [interval][]
ie, if interval="10s" then always collect on :00, :10, :20, etc.
- **metric_batch_size**:
Telegraf will send metrics to outputs in batches of at most
metric_batch_size metrics.
This controls the size of writes that Telegraf sends to output plugins.
- **metric_buffer_limit**:
Maximum number of unwritten metrics per output. Increasing this value
allows for longer periods of output downtime without dropping metrics at the
cost of higher maximum memory usage.
- **collection_jitter**:
Collection jitter is used to jitter the collection by a random [interval][].
Each plugin will sleep for a random time within jitter before collecting.
This can be used to avoid many plugins querying things like sysfs at the
same time, which can have a measurable effect on the system.
- **flush_interval**:
Default flushing [interval][] for all outputs. Maximum flush_interval will be
flush_interval + flush_jitter.
- **flush_jitter**:
Default flush jitter for all outputs. This jitters the flush [interval][]
by a random amount. This is primarily to avoid large write spikes for users
running a large number of telegraf instances. ie, a jitter of 5s and interval
10s means flushes will happen every 10-15s.
- **precision**:
Collected metrics are rounded to the precision specified as an [interval][].
Precision will NOT be used for service inputs. It is up to each individual
service input to set the timestamp at the appropriate precision.
- **debug**:
Log at debug level.
- **quiet**:
Log only error level messages.
- **logtarget**:
Log target controls the destination for logs and can be one of "file",
"stderr" or, on Windows, "eventlog". When set to "file", the output file is
determined by the "logfile" setting.
- **logfile**:
Name of the file to be logged to when using the "file" logtarget. If set to
the empty string then logs are written to stderr.
- **logfile_rotation_interval**:
The logfile will be rotated after the time interval specified. When set to
0 no time based rotation is performed.
- **logfile_rotation_max_size**:
The logfile will be rotated when it becomes larger than the specified size.
When set to 0 no size based rotation is performed.
- **logfile_rotation_max_archives**:
Maximum number of rotated archives to keep, any older logs are deleted. If
set to -1, no archives are removed.
- **hostname**:
Override default hostname, if empty use os.Hostname()
- **omit_hostname**:
If set to true, do no set the "host" tag in the telegraf agent.
### Plugins
Telegraf plugins are divided into 4 types: [inputs][], [outputs][],
[processors][], and [aggregators][].
Unlike the `global_tags` and `agent` tables, any plugin can be defined
multiple times and each instance will run independently. This allows you to
have plugins defined with differing configurations as needed within a single
Telegraf process.
Each plugin has a unique set of configuration options, reference the
sample configuration for details. Additionally, several options are available
on any plugin depending on its type.
### Input Plugins
Input plugins gather and create metrics. They support both polling and event
driven operation.
Parameters that can be used with any input plugin:
- **alias**: Name an instance of a plugin.
- **interval**: How often to gather this metric. Normal plugins use a single
global interval, but if one particular input should be run less or more
often, you can configure that here.
- **name_override**: Override the base name of the measurement. (Default is
the name of the input).
- **name_prefix**: Specifies a prefix to attach to the measurement name.
- **name_suffix**: Specifies a suffix to attach to the measurement name.
- **tags**: A map of tags to apply to a specific input's measurements.
The [metric filtering][] parameters can be used to limit what metrics are
emitted from the input plugin.
#### Examples
Use the name_suffix parameter to emit measurements with the name `cpu_total`:
```toml
[[inputs.cpu]]
name_suffix = "_total"
percpu = false
totalcpu = true
```
Use the name_override parameter to emit measurements with the name `foobar`:
```toml
[[inputs.cpu]]
name_override = "foobar"
percpu = false
totalcpu = true
```
Emit measurements with two additional tags: `tag1=foo` and `tag2=bar`
> **NOTE**: With TOML, order matters. Parameters belong to the last defined
> table header, place `[inputs.cpu.tags]` table at the _end_ of the plugin
> definition.
```toml
[[inputs.cpu]]
percpu = false
totalcpu = true
[inputs.cpu.tags]
tag1 = "foo"
tag2 = "bar"
```
Utilize `name_override`, `name_prefix`, or `name_suffix` config options to
avoid measurement collisions when defining multiple plugins:
```toml
[[inputs.cpu]]
percpu = false
totalcpu = true
# OUTPUTS
[[outputs.influxdb]]
url = "http://192.168.59.103:8086" # required.
database = "telegraf" # required.
precision = "s"
# INPUTS
[[inputs.cpu]]
percpu = true
totalcpu = false
name_override = "percpu_usage"
fielddrop = ["cpu_time*"]
# filter all fields beginning with 'time_'
fielddrop = ["time_*"]
```
### Output Plugins
#### Input Config: tagpass and tagdrop
Output plugins write metrics to a location. Outputs commonly write to
databases, network services, and messaging systems.
**NOTE** `tagpass` and `tagdrop` parameters must be defined at the _end_ of
the plugin definition, otherwise subsequent plugin config options will be
interpreted as part of the tagpass/tagdrop map.
Parameters that can be used with any output plugin:
- **alias**: Name an instance of a plugin.
- **flush_interval**: The maximum time between flushes. Use this setting to
override the agent `flush_interval` on a per plugin basis.
- **flush_jitter**: The amount of time to jitter the flush interval. Use this
setting to override the agent `flush_jitter` on a per plugin basis.
- **metric_batch_size**: The maximum number of metrics to send at once. Use
this setting to override the agent `metric_batch_size` on a per plugin basis.
- **metric_buffer_limit**: The maximum number of unsent metrics to buffer.
Use this setting to override the agent `metric_buffer_limit` on a per plugin
basis.
- **name_override**: Override the original name of the measurement.
- **name_prefix**: Specifies a prefix to attach to the measurement name.
- **name_suffix**: Specifies a suffix to attach to the measurement name.
The [metric filtering][] parameters can be used to limit what metrics are
emitted from the output plugin.
#### Examples
Override flush parameters for a single output:
```toml
[agent]
flush_interval = "10s"
flush_jitter = "5s"
metric_batch_size = 1000
[[outputs.influxdb]]
urls = [ "http://example.org:8086" ]
database = "telegraf"
[[outputs.file]]
files = [ "stdout" ]
flush_interval = "1s"
flush_jitter = "1s"
metric_batch_size = 10
```
### Processor Plugins
Processor plugins perform processing tasks on metrics and are commonly used to
rename or apply transformations to metrics. Processors are applied after the
input plugins and before any aggregator plugins.
Parameters that can be used with any processor plugin:
- **alias**: Name an instance of a plugin.
- **order**: The order in which the processor(s) are executed. If this is not
specified then processor execution order will be random.
The [metric filtering][] parameters can be used to limit what metrics are
handled by the processor. Excluded metrics are passed downstream to the next
processor.
#### Examples
If the order processors are applied matters you must set order on all involved
processors:
```toml
[[processors.rename]]
order = 1
[[processors.rename.replace]]
tag = "path"
dest = "resource"
[[processors.strings]]
order = 2
[[processors.strings.trim_prefix]]
tag = "resource"
prefix = "/api/"
```
### Aggregator Plugins
Aggregator plugins produce new metrics after examining metrics over a time
period, as the name suggests they are commonly used to produce new aggregates
such as mean/max/min metrics. Aggregators operate on metrics after any
processors have been applied.
Parameters that can be used with any aggregator plugin:
- **alias**: Name an instance of a plugin.
- **period**: The period on which to flush & clear each aggregator. All
metrics that are sent with timestamps outside of this period will be ignored
by the aggregator.
- **delay**: The delay before each aggregator is flushed. This is to control
how long for aggregators to wait before receiving metrics from input
plugins, in the case that aggregators are flushing and inputs are gathering
on the same interval.
- **grace**: The duration when the metrics will still be aggregated
by the plugin, even though they're outside of the aggregation period. This
is needed in a situation when the agent is expected to receive late metrics
and it's acceptable to roll them up into next aggregation period.
- **drop_original**: If true, the original metric will be dropped by the
aggregator and will not get sent to the output plugins.
- **name_override**: Override the base name of the measurement. (Default is
the name of the input).
- **name_prefix**: Specifies a prefix to attach to the measurement name.
- **name_suffix**: Specifies a suffix to attach to the measurement name.
- **tags**: A map of tags to apply to a specific input's measurements.
The [metric filtering][] parameters can be used to limit what metrics are
handled by the aggregator. Excluded metrics are passed downstream to the next
aggregator.
#### Examples
Collect and emit the min/max of the system load1 metric every 30s, dropping
the originals.
```toml
[[inputs.system]]
fieldpass = ["load1"] # collects system load1 metric.
[[aggregators.minmax]]
period = "30s" # send & clear the aggregate every 30s.
drop_original = true # drop the original metrics.
[[outputs.file]]
files = ["stdout"]
```
Collect and emit the min/max of the swap metrics every 30s, dropping the
originals. The aggregator will not be applied to the system load metrics due
to the `namepass` parameter.
```toml
[[inputs.swap]]
[[inputs.system]]
fieldpass = ["load1"] # collects system load1 metric.
[[aggregators.minmax]]
period = "30s" # send & clear the aggregate every 30s.
drop_original = true # drop the original metrics.
namepass = ["swap"] # only "pass" swap metrics through the aggregator.
[[outputs.file]]
files = ["stdout"]
```
<a id="measurement-filtering"></a>
### Metric Filtering
Metric filtering can be configured per plugin on any input, output, processor,
and aggregator plugin. Filters fall under two categories: Selectors and
Modifiers.
#### Selectors
Selector filters include or exclude entire metrics. When a metric is excluded
from a Input or an Output plugin, the metric is dropped. If a metric is
excluded from a Processor or Aggregator plugin, it is skips the plugin and is
sent onwards to the next stage of processing.
- **namepass**:
An array of glob pattern strings. Only metrics whose measurement name matches
a pattern in this list are emitted.
- **namedrop**:
The inverse of `namepass`. If a match is found the metric is discarded. This
is tested on metrics after they have passed the `namepass` test.
- **tagpass**:
A table mapping tag keys to arrays of glob pattern strings. Only metrics
that contain a tag key in the table and a tag value matching one of its
patterns is emitted.
- **tagdrop**:
The inverse of `tagpass`. If a match is found the metric is discarded. This
is tested on metrics after they have passed the `tagpass` test.
#### Modifiers
Modifier filters remove tags and fields from a metric. If all fields are
removed the metric is removed.
- **fieldpass**:
An array of glob pattern strings. Only fields whose field key matches a
pattern in this list are emitted.
- **fielddrop**:
The inverse of `fieldpass`. Fields with a field key matching one of the
patterns will be discarded from the metric. This is tested on metrics after
they have passed the `fieldpass` test.
- **taginclude**:
An array of glob pattern strings. Only tags with a tag key matching one of
the patterns are emitted. In contrast to `tagpass`, which will pass an entire
metric based on its tag, `taginclude` removes all non matching tags from the
metric. Any tag can be filtered including global tags and the agent `host`
tag.
- **tagexclude**:
The inverse of `taginclude`. Tags with a tag key matching one of the patterns
will be discarded from the metric. Any tag can be filtered including global
tags and the agent `host` tag.
#### Filtering Examples
##### Using tagpass and tagdrop:
```toml
[[inputs.cpu]]
percpu = true
@ -474,22 +210,10 @@ tags and the agent `host` tag.
fstype = [ "ext4", "xfs" ]
# Globs can also be used on the tag values
path = [ "/opt", "/home*" ]
[[inputs.win_perf_counters]]
[[inputs.win_perf_counters.object]]
ObjectName = "Network Interface"
Instances = ["*"]
Counters = [
"Bytes Received/sec",
"Bytes Sent/sec"
]
Measurement = "win_net"
# Don't send metrics where the Windows interface name (instance) begins with isatap or Local
[inputs.win_perf_counters.tagdrop]
instance = ["isatap*", "Local*"]
```
##### Using fieldpass and fielddrop:
#### Input Config: fieldpass and fielddrop
```toml
# Drop all metrics for guest & steal CPU usage
[[inputs.cpu]]
@ -502,7 +226,8 @@ tags and the agent `host` tag.
fieldpass = ["inodes*"]
```
##### Using namepass and namedrop:
#### Input Config: namepass and namedrop
```toml
# Drop all metrics about containers for kubelet
[[inputs.prometheus]]
@ -515,7 +240,8 @@ tags and the agent `host` tag.
namepass = ["rest_client_*"]
```
##### Using taginclude and tagexclude:
#### Input Config: taginclude and tagexclude
```toml
# Only include the "cpu" tag in the measurements for the cpu plugin.
[[inputs.cpu]]
@ -528,65 +254,120 @@ tags and the agent `host` tag.
tagexclude = ["fstype"]
```
##### Metrics can be routed to different outputs using the metric name and tags:
#### Input config: prefix, suffix, and override
This plugin will emit measurements with the name `cpu_total`
```toml
[[inputs.cpu]]
name_suffix = "_total"
percpu = false
totalcpu = true
```
This will emit measurements with the name `foobar`
```toml
[[inputs.cpu]]
name_override = "foobar"
percpu = false
totalcpu = true
```
#### Input config: tags
This plugin will emit measurements with two additional tags: `tag1=foo` and
`tag2=bar`
NOTE: Order matters, the `[inputs.cpu.tags]` table must be at the _end_ of the
plugin definition.
```toml
[[inputs.cpu]]
percpu = false
totalcpu = true
[inputs.cpu.tags]
tag1 = "foo"
tag2 = "bar"
```
#### Multiple inputs of the same type
Additional inputs (or outputs) of the same type can be specified,
just define more instances in the config file. It is highly recommended that
you utilize `name_override`, `name_prefix`, or `name_suffix` config options
to avoid measurement collisions:
```toml
[[inputs.cpu]]
percpu = false
totalcpu = true
[[inputs.cpu]]
percpu = true
totalcpu = false
name_override = "percpu_usage"
fielddrop = ["cpu_time*"]
```
#### Output Configuration Examples:
```toml
[[outputs.influxdb]]
urls = [ "http://localhost:8086" ]
database = "telegraf"
precision = "s"
# Drop all measurements that start with "aerospike"
namedrop = ["aerospike*"]
[[outputs.influxdb]]
urls = [ "http://localhost:8086" ]
database = "telegraf-aerospike-data"
precision = "s"
# Only accept aerospike data:
namepass = ["aerospike*"]
[[outputs.influxdb]]
urls = [ "http://localhost:8086" ]
database = "telegraf-cpu0-data"
precision = "s"
# Only store measurements where the tag "cpu" matches the value "cpu0"
[outputs.influxdb.tagpass]
cpu = ["cpu0"]
```
##### Routing metrics to different outputs based on the input.
#### Aggregator Configuration Examples:
Metrics are tagged with `influxdb_database` in the input, which is then used to
select the output. The tag is removed in the outputs before writing.
This will collect and emit the min/max of the system load1 metric every
30s, dropping the originals.
```toml
[[outputs.influxdb]]
urls = ["http://influxdb.example.com"]
database = "db_default"
[outputs.influxdb.tagdrop]
influxdb_database = ["*"]
[[inputs.system]]
fieldpass = ["load1"] # collects system load1 metric.
[[outputs.influxdb]]
urls = ["http://influxdb.example.com"]
database = "db_other"
tagexclude = ["influxdb_database"]
[outputs.influxdb.tagpass]
influxdb_database = ["other"]
[[aggregators.minmax]]
period = "30s" # send & clear the aggregate every 30s.
drop_original = true # drop the original metrics.
[[inputs.disk]]
[inputs.disk.tags]
influxdb_database = "other"
[[outputs.file]]
files = ["stdout"]
```
### Transport Layer Security (TLS)
This will collect and emit the min/max of the swap metrics every
30s, dropping the originals. The aggregator will not be applied
to the system load metrics due to the `namepass` parameter.
Reference the detailed [TLS][] documentation.
```toml
[[inputs.swap]]
[TOML]: https://github.com/toml-lang/toml#toml
[global tags]: #global-tags
[interval]: #intervals
[agent]: #agent
[plugins]: #plugins
[inputs]: #input-plugins
[outputs]: #output-plugins
[processors]: #processor-plugins
[aggregators]: #aggregator-plugins
[metric filtering]: #metric-filtering
[telegraf.conf]: /etc/telegraf.conf
[TLS]: /docs/TLS.md
[[inputs.system]]
fieldpass = ["load1"] # collects system load1 metric.
[[aggregators.minmax]]
period = "30s" # send & clear the aggregate every 30s.
drop_original = true # drop the original metrics.
namepass = ["swap"] # only "pass" swap metrics through the aggregator.
[[outputs.file]]
files = ["stdout"]
```

View File

@ -1,24 +1,36 @@
# Input Data Formats
# Telegraf Input Data Formats
Telegraf contains many general purpose plugins that support parsing input data
using a configurable parser into [metrics][]. This allows, for example, the
`kafka_consumer` input plugin to process messages in either InfluxDB Line
Protocol or in JSON format.
Telegraf is able to parse the following input data formats into metrics:
- [InfluxDB Line Protocol](/plugins/parsers/influx)
- [Collectd](/plugins/parsers/collectd)
- [CSV](/plugins/parsers/csv)
- [Dropwizard](/plugins/parsers/dropwizard)
- [Graphite](/plugins/parsers/graphite)
- [Grok](/plugins/parsers/grok)
- [JSON](/plugins/parsers/json)
- [Logfmt](/plugins/parsers/logfmt)
- [Nagios](/plugins/parsers/nagios)
- [Value](/plugins/parsers/value), ie: 45 or "booyah"
- [Wavefront](/plugins/parsers/wavefront)
1. [InfluxDB Line Protocol](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#influx)
1. [JSON](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#json)
1. [Graphite](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#graphite)
1. [Value](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#value), ie: 45 or "booyah"
1. [Nagios](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#nagios) (exec input only)
1. [Collectd](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#collectd)
Any input plugin containing the `data_format` option can use it to select the
desired parser:
Telegraf metrics, like InfluxDB
[points](https://docs.influxdata.com/influxdb/v0.10/write_protocols/line/),
are a combination of four basic parts:
1. Measurement Name
1. Tags
1. Fields
1. Timestamp
These four parts are easily defined when using InfluxDB line-protocol as a
data format. But there are other data formats that users may want to use which
require more advanced configuration to create usable Telegraf metrics.
Plugins such as `exec` and `kafka_consumer` parse textual data. Up until now,
these plugins were statically configured to parse just a single
data format. `exec` mostly only supported parsing JSON, and `kafka_consumer` only
supported data in InfluxDB line-protocol.
But now we are normalizing the parsing of various data formats across all
plugins that can support it. You will be able to identify a plugin that supports
different data formats by the presence of a `data_format` config option, for
example, in the exec plugin:
```toml
[[inputs.exec]]
@ -33,6 +45,437 @@ desired parser:
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "json"
## Additional configuration options go here
```
[metrics]: /docs/METRICS.md
Each data_format has an additional set of configuration options available, which
I'll go over below.
# Influx:
There are no additional configuration options for InfluxDB line-protocol. The
metrics are parsed directly into Telegraf metrics.
#### Influx Configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["/tmp/test.sh", "/usr/bin/mycollector --foo=bar"]
## measurement name suffix (for separating different commands)
name_suffix = "_mycollector"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "influx"
```
# JSON:
The JSON data format flattens JSON into metric _fields_.
NOTE: Only numerical values are converted to fields, and they are converted
into a float. strings are ignored unless specified as a tag_key (see below).
So for example, this JSON:
```json
{
"a": 5,
"b": {
"c": 6
},
"ignored": "I'm a string"
}
```
Would get translated into _fields_ of a measurement:
```
myjsonmetric a=5,b_c=6
```
The _measurement_ _name_ is usually the name of the plugin,
but can be overridden using the `name_override` config option.
#### JSON Configuration:
The JSON data format supports specifying "tag keys". If specified, keys
will be searched for in the root-level of the JSON blob. If the key(s) exist,
they will be applied as tags to the Telegraf metrics.
For example, if you had this configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["/tmp/test.sh", "/usr/bin/mycollector --foo=bar"]
## measurement name suffix (for separating different commands)
name_suffix = "_mycollector"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "json"
## List of tag names to extract from top-level of JSON server response
tag_keys = [
"my_tag_1",
"my_tag_2"
]
```
with this JSON output from a command:
```json
{
"a": 5,
"b": {
"c": 6
},
"my_tag_1": "foo"
}
```
Your Telegraf metrics would get tagged with "my_tag_1"
```
exec_mycollector,my_tag_1=foo a=5,b_c=6
```
If the JSON data is an array, then each element of the array is parsed with the configured settings.
Each resulting metric will be output with the same timestamp.
For example, if the following configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["/usr/bin/mycollector --foo=bar"]
## measurement name suffix (for separating different commands)
name_suffix = "_mycollector"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "json"
## List of tag names to extract from top-level of JSON server response
tag_keys = [
"my_tag_1",
"my_tag_2"
]
```
with this JSON output from a command:
```json
[
{
"a": 5,
"b": {
"c": 6
},
"my_tag_1": "foo",
"my_tag_2": "baz"
},
{
"a": 7,
"b": {
"c": 8
},
"my_tag_1": "bar",
"my_tag_2": "baz"
}
]
```
Your Telegraf metrics would get tagged with "my_tag_1" and "my_tag_2"
```
exec_mycollector,my_tag_1=foo,my_tag_2=baz a=5,b_c=6
exec_mycollector,my_tag_1=bar,my_tag_2=baz a=7,b_c=8
```
# Value:
The "value" data format translates single values into Telegraf metrics. This
is done by assigning a measurement name and setting a single field ("value")
as the parsed metric.
#### Value Configuration:
You **must** tell Telegraf what type of metric to collect by using the
`data_type` configuration option. Available options are:
1. integer
2. float or long
3. string
4. boolean
**Note:** It is also recommended that you set `name_override` to a measurement
name that makes sense for your metric, otherwise it will just be set to the
name of the plugin.
```toml
[[inputs.exec]]
## Commands array
commands = ["cat /proc/sys/kernel/random/entropy_avail"]
## override the default metric name of "exec"
name_override = "entropy_available"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "value"
data_type = "integer" # required
```
# Graphite:
The Graphite data format translates graphite _dot_ buckets directly into
telegraf measurement names, with a single value field, and without any tags.
By default, the separator is left as ".", but this can be changed using the
"separator" argument. For more advanced options,
Telegraf supports specifying "templates" to translate
graphite buckets into Telegraf metrics.
Templates are of the form:
```
"host.mytag.mytag.measurement.measurement.field*"
```
Where the following keywords exist:
1. `measurement`: specifies that this section of the graphite bucket corresponds
to the measurement name. This can be specified multiple times.
2. `field`: specifies that this section of the graphite bucket corresponds
to the field name. This can be specified multiple times.
3. `measurement*`: specifies that all remaining elements of the graphite bucket
correspond to the measurement name.
4. `field*`: specifies that all remaining elements of the graphite bucket
correspond to the field name.
Any part of the template that is not a keyword is treated as a tag key. This
can also be specified multiple times.
NOTE: `field*` cannot be used in conjunction with `measurement*`!
#### Measurement & Tag Templates:
The most basic template is to specify a single transformation to apply to all
incoming metrics. So the following template:
```toml
templates = [
"region.region.measurement*"
]
```
would result in the following Graphite -> Telegraf transformation.
```
us.west.cpu.load 100
=> cpu.load,region=us.west value=100
```
Multiple templates can also be specified, but these should be differentiated
using _filters_ (see below for more details)
```toml
templates = [
"*.*.* region.region.measurement", # <- all 3-part measurements will match this one.
"*.*.*.* region.region.host.measurement", # <- all 4-part measurements will match this one.
]
```
#### Field Templates:
The field keyword tells Telegraf to give the metric that field name.
So the following template:
```toml
separator = "_"
templates = [
"measurement.measurement.field.field.region"
]
```
would result in the following Graphite -> Telegraf transformation.
```
cpu.usage.idle.percent.eu-east 100
=> cpu_usage,region=eu-east idle_percent=100
```
The field key can also be derived from all remaining elements of the graphite
bucket by specifying `field*`:
```toml
separator = "_"
templates = [
"measurement.measurement.region.field*"
]
```
which would result in the following Graphite -> Telegraf transformation.
```
cpu.usage.eu-east.idle.percentage 100
=> cpu_usage,region=eu-east idle_percentage=100
```
#### Filter Templates:
Users can also filter the template(s) to use based on the name of the bucket,
using glob matching, like so:
```toml
templates = [
"cpu.* measurement.measurement.region",
"mem.* measurement.measurement.host"
]
```
which would result in the following transformation:
```
cpu.load.eu-east 100
=> cpu_load,region=eu-east value=100
mem.cached.localhost 256
=> mem_cached,host=localhost value=256
```
#### Adding Tags:
Additional tags can be added to a metric that don't exist on the received metric.
You can add additional tags by specifying them after the pattern.
Tags have the same format as the line protocol.
Multiple tags are separated by commas.
```toml
templates = [
"measurement.measurement.field.region datacenter=1a"
]
```
would result in the following Graphite -> Telegraf transformation.
```
cpu.usage.idle.eu-east 100
=> cpu_usage,region=eu-east,datacenter=1a idle=100
```
There are many more options available,
[More details can be found here](https://github.com/influxdata/influxdb/tree/master/services/graphite#templates)
#### Graphite Configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["/tmp/test.sh", "/usr/bin/mycollector --foo=bar"]
## measurement name suffix (for separating different commands)
name_suffix = "_mycollector"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "graphite"
## This string will be used to join the matched values.
separator = "_"
## Each template line requires a template pattern. It can have an optional
## filter before the template and separated by spaces. It can also have optional extra
## tags following the template. Multiple tags should be separated by commas and no spaces
## similar to the line protocol format. There can be only one default template.
## Templates support below format:
## 1. filter + template
## 2. filter + template + extra tag(s)
## 3. filter + template with field key
## 4. default template
templates = [
"*.app env.service.resource.measurement",
"stats.* .host.measurement* region=eu-east,agent=sensu",
"stats2.* .host.measurement.field",
"measurement*"
]
```
# Nagios:
There are no additional configuration options for Nagios line-protocol. The
metrics are parsed directly into Telegraf metrics.
Note: Nagios Input Data Formats is only supported in `exec` input plugin.
#### Nagios Configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["/usr/lib/nagios/plugins/check_load -w 5,6,7 -c 7,8,9"]
## measurement name suffix (for separating different commands)
name_suffix = "_mycollector"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "nagios"
```
# Collectd:
The collectd format parses the collectd binary network protocol. Tags are
created for host, instance, type, and type instance. All collectd values are
added as float64 fields.
For more information about the binary network protocol see
[here](https://collectd.org/wiki/index.php/Binary_protocol).
You can control the cryptographic settings with parser options. Create an
authentication file and set `collectd_auth_file` to the path of the file, then
set the desired security level in `collectd_security_level`.
Additional information including client setup can be found
[here](https://collectd.org/wiki/index.php/Networking_introduction#Cryptographic_setup).
You can also change the path to the typesdb or add additional typesdb using
`collectd_typesdb`.
#### Collectd Configuration:
```toml
[[inputs.socket_listener]]
service_address = "udp://127.0.0.1:25826"
name_prefix = "collectd_"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "collectd"
## Authentication file for cryptographic security levels
collectd_auth_file = "/etc/collectd/auth_file"
## One of none (default), sign, or encrypt
collectd_security_level = "encrypt"
## Path of to TypesDB specifications
collectd_typesdb = ["/usr/share/collectd/types.db"]
```

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@ -1,19 +1,34 @@
# Output Data Formats
# Telegraf Output Data Formats
In addition to output specific data formats, Telegraf supports a set of
standard data formats that may be selected from when configuring many output
plugins.
Telegraf is able to serialize metrics into the following output data formats:
1. [InfluxDB Line Protocol](/plugins/serializers/influx)
1. [Carbon2](/plugins/serializers/carbon2)
1. [Graphite](/plugins/serializers/graphite)
1. [JSON](/plugins/serializers/json)
1. [Prometheus](/plugins/serializers/prometheus)
1. [SplunkMetric](/plugins/serializers/splunkmetric)
1. [Wavefront](/plugins/serializers/wavefront)
1. [InfluxDB Line Protocol](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#influx)
1. [JSON](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#json)
1. [Graphite](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite)
You will be able to identify the plugins with support by the presence of a
`data_format` config option, for example, in the `file` output plugin:
Telegraf metrics, like InfluxDB
[points](https://docs.influxdata.com/influxdb/v0.10/write_protocols/line/),
are a combination of four basic parts:
1. Measurement Name
1. Tags
1. Fields
1. Timestamp
In InfluxDB line protocol, these 4 parts are easily defined in textual form:
```
measurement_name[,tag1=val1,...] field1=val1[,field2=val2,...] [timestamp]
```
For Telegraf outputs that write textual data (such as `kafka`, `mqtt`, and `file`),
InfluxDB line protocol was originally the only available output format. But now
we are normalizing telegraf metric "serializers" into a
[plugin-like interface](https://github.com/influxdata/telegraf/tree/master/plugins/serializers)
across all output plugins that can support it.
You will be able to identify a plugin that supports different data formats
by the presence of a `data_format`
config option, for example, in the `file` output plugin:
```toml
[[outputs.file]]
@ -25,4 +40,121 @@ You will be able to identify the plugins with support by the presence of a
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
## Additional configuration options go here
```
Each data_format has an additional set of configuration options available, which
I'll go over below.
# Influx:
There are no additional configuration options for InfluxDB line-protocol. The
metrics are serialized directly into InfluxDB line-protocol.
### Influx Configuration:
```toml
[[outputs.file]]
## Files to write to, "stdout" is a specially handled file.
files = ["stdout", "/tmp/metrics.out"]
## Data format to output.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
```
# Graphite:
The Graphite data format translates Telegraf metrics into _dot_ buckets. A
template can be specified for the output of Telegraf metrics into Graphite
buckets. The default template is:
```
template = "host.tags.measurement.field"
```
In the above template, we have four parts:
1. _host_ is a tag key. This can be any tag key that is in the Telegraf
metric(s). If the key doesn't exist, it will be ignored. If it does exist, the
tag value will be filled in.
1. _tags_ is a special keyword that outputs all remaining tag values, separated
by dots and in alphabetical order (by tag key). These will be filled after all
tag keys are filled.
1. _measurement_ is a special keyword that outputs the measurement name.
1. _field_ is a special keyword that outputs the field name.
Which means the following influx metric -> graphite conversion would happen:
```
cpu,cpu=cpu-total,dc=us-east-1,host=tars usage_idle=98.09,usage_user=0.89 1455320660004257758
=>
tars.cpu-total.us-east-1.cpu.usage_user 0.89 1455320690
tars.cpu-total.us-east-1.cpu.usage_idle 98.09 1455320690
```
### Graphite Configuration:
```toml
[[outputs.file]]
## Files to write to, "stdout" is a specially handled file.
files = ["stdout", "/tmp/metrics.out"]
## Data format to output.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "graphite"
# prefix each graphite bucket
prefix = "telegraf"
# graphite template
template = "host.tags.measurement.field"
```
# JSON:
The JSON data format serialized Telegraf metrics in json format. The format is:
```json
{
"fields":{
"field_1":30,
"field_2":4,
"field_N":59,
"n_images":660
},
"name":"docker",
"tags":{
"host":"raynor"
},
"timestamp":1458229140
}
```
### JSON Configuration:
```toml
[[outputs.file]]
## Files to write to, "stdout" is a specially handled file.
files = ["stdout", "/tmp/metrics.out"]
## Data format to output.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "json"
json_timestamp_units = "1ns"
```
By default, the timestamp that is output in JSON data format serialized Telegraf
metrics is in seconds. The precision of this timestamp can be adjusted for any output
by adding the optional `json_timestamp_units` parameter to the configuration for
that output. This parameter can be used to set the timestamp units to nanoseconds (`ns`),
microseconds (`us` or `µs`), milliseconds (`ms`), or seconds (`s`). Note that this
parameter will be truncated to the nearest power of 10 that, so if the `json_timestamp_units`
are set to `15ms` the timestamps for the JSON format serialized Telegraf metrics will be
output in hundredths of a second (`10ms`).

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@ -1,76 +0,0 @@
# Frequently Asked Questions
### Q: How can I monitor the Docker Engine Host from within a container?
You will need to setup several volume mounts as well as some environment
variables:
```
docker run --name telegraf
-v /:/hostfs:ro
-v /etc:/hostfs/etc:ro
-v /proc:/hostfs/proc:ro
-v /sys:/hostfs/sys:ro
-v /var:/hostfs/var:ro
-v /run:/hostfs/run:ro
-e HOST_ETC=/hostfs/etc
-e HOST_PROC=/hostfs/proc
-e HOST_SYS=/hostfs/sys
-e HOST_VAR=/hostfs/var
-e HOST_RUN=/hostfs/run
-e HOST_MOUNT_PREFIX=/hostfs
telegraf
```
### Q: Why do I get a "no such host" error resolving hostnames that other
programs can resolve?
Go uses a pure Go resolver by default for [name resolution](https://golang.org/pkg/net/#hdr-Name_Resolution).
This resolver behaves differently than the C library functions but is more
efficient when used with the Go runtime.
If you encounter problems or want to use more advanced name resolution methods
that are unsupported by the pure Go resolver, you can switch to the cgo
resolver.
If running manually set:
```
export GODEBUG=netdns=cgo
```
If running as a service add the environment variable to `/etc/default/telegraf`:
```
GODEBUG=netdns=cgo
```
### Q: How can I manage series cardinality?
High [series cardinality][], when not properly managed, can cause high load on
your database. Telegraf attempts to avoid creating series with high
cardinality, but some monitoring workloads such as tracking containers are are
inherently high cardinality. These workloads can still be monitored, but care
must be taken to manage cardinality growth.
You can use the following techniques to avoid cardinality issues:
- Use [metric filtering][] options to exclude unneeded measurements and tags.
- Write to a database with an appropriate [retention policy][].
- Limit series cardinality in your database using the
[max-series-per-database][] and [max-values-per-tag][] settings.
- Consider using the [Time Series Index][tsi].
- Monitor your databases using the [show cardinality][] commands.
- Consult the [InfluxDB documentation][influx docs] for the most up-to-date techniques.
[series cardinality]: https://docs.influxdata.com/influxdb/v1.7/concepts/glossary/#series-cardinality
[metric filtering]: https://github.com/influxdata/telegraf/blob/master/docs/CONFIGURATION.md#metric-filtering
[retention policy]: https://docs.influxdata.com/influxdb/latest/guides/downsampling_and_retention/
[max-series-per-database]: https://docs.influxdata.com/influxdb/latest/administration/config/#max-series-per-database-1000000
[max-values-per-tag]: https://docs.influxdata.com/influxdb/latest/administration/config/#max-values-per-tag-100000
[tsi]: https://docs.influxdata.com/influxdb/latest/concepts/time-series-index/
[show cardinality]: https://docs.influxdata.com/influxdb/latest/query_language/spec/#show-cardinality
[influx docs]: https://docs.influxdata.com/influxdb/latest/
### Q: When will the next version be released?
The latest release date estimate can be viewed on the
[milestones](https://github.com/influxdata/telegraf/milestones) page.

View File

@ -1,149 +0,0 @@
### Input Plugins
This section is for developers who want to create new collection inputs.
Telegraf is entirely plugin driven. This interface allows for operators to
pick and chose what is gathered and makes it easy for developers
to create new ways of generating metrics.
Plugin authorship is kept as simple as possible to promote people to develop
and submit new inputs.
### Input Plugin Guidelines
- A plugin must conform to the [telegraf.Input][] interface.
- Input Plugins should call `inputs.Add` in their `init` function to register
themselves. See below for a quick example.
- Input Plugins must be added to the
`github.com/influxdata/telegraf/plugins/inputs/all/all.go` file.
- The `SampleConfig` function should return valid toml that describes how the
plugin can be configured. This is included in `telegraf config`. Please
consult the [SampleConfig][] page for the latest style
guidelines.
- The `Description` function should say in one line what this plugin does.
- Follow the recommended [CodeStyle][].
Let's say you've written a plugin that emits metrics about processes on the
current host.
### Input Plugin Example
```go
package simple
// simple.go
import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/inputs"
)
type Simple struct {
Ok bool `toml:"ok"`
}
func (s *Simple) Description() string {
return "a demo plugin"
}
func (s *Simple) SampleConfig() string {
return `
## Indicate if everything is fine
ok = true
`
}
func (s *Simple) Init() error {
return nil
}
func (s *Simple) Gather(acc telegraf.Accumulator) error {
if s.Ok {
acc.AddFields("state", map[string]interface{}{"value": "pretty good"}, nil)
} else {
acc.AddFields("state", map[string]interface{}{"value": "not great"}, nil)
}
return nil
}
func init() {
inputs.Add("simple", func() telegraf.Input { return &Simple{} })
}
```
### Development
* Run `make static` followed by `make plugin-[pluginName]` to spin up a docker
dev environment using docker-compose.
* ***[Optional]*** When developing a plugin, add a `dev` directory with a
`docker-compose.yml` and `telegraf.conf` as well as any other supporting
files, where sensible.
### Typed Metrics
In addition the the `AddFields` function, the accumulator also supports
functions to add typed metrics: `AddGauge`, `AddCounter`, etc. Metric types
are ignored by the InfluxDB output, but can be used for other outputs, such as
[prometheus][prom metric types].
### Data Formats
Some input plugins, such as the [exec][] plugin, can accept any supported
[input data formats][].
In order to enable this, you must specify a `SetParser(parser parsers.Parser)`
function on the plugin object (see the exec plugin for an example), as well as
defining `parser` as a field of the object.
You can then utilize the parser internally in your plugin, parsing data as you
see fit. Telegraf's configuration layer will take care of instantiating and
creating the `Parser` object.
Add the following to the `SampleConfig()`:
```toml
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "influx"
```
### Service Input Plugins
This section is for developers who want to create new "service" collection
inputs. A service plugin differs from a regular plugin in that it operates a
background service while Telegraf is running. One example would be the
`statsd` plugin, which operates a statsd server.
Service Input Plugins are substantially more complicated than a regular
plugin, as they will require threads and locks to verify data integrity.
Service Input Plugins should be avoided unless there is no way to create their
behavior with a regular plugin.
To create a Service Input implement the [telegraf.ServiceInput][] interface.
### Metric Tracking
Metric Tracking provides a system to be notified when metrics have been
successfully written to their outputs or otherwise discarded. This allows
inputs to be created that function as reliable queue consumers.
To get started with metric tracking begin by calling `WithTracking` on the
[telegraf.Accumulator][]. Add metrics using the `AddTrackingMetricGroup`
function on the returned [telegraf.TrackingAccumulator][] and store the
`TrackingID`. The `Delivered()` channel will return a type with information
about the final delivery status of the metric group.
Check the [amqp_consumer][] for an example implementation.
[exec]: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/exec
[amqp_consumer]: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/amqp_consumer
[prom metric types]: https://prometheus.io/docs/concepts/metric_types/
[input data formats]: https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
[SampleConfig]: https://github.com/influxdata/telegraf/wiki/SampleConfig
[CodeStyle]: https://github.com/influxdata/telegraf/wiki/CodeStyle
[telegraf.Input]: https://godoc.org/github.com/influxdata/telegraf#Input
[telegraf.ServiceInput]: https://godoc.org/github.com/influxdata/telegraf#ServiceInput
[telegraf.Accumulator]: https://godoc.org/github.com/influxdata/telegraf#Accumulator
[telegraf.TrackingAccumulator]: https://godoc.org/github.com/influxdata/telegraf#Accumulator

View File

@ -1,172 +1,33 @@
# Licenses of dependencies
When distributed in a binary form, Telegraf may contain portions of the
following works:
- cloud.google.com/go [Apache License 2.0](https://github.com/googleapis/google-cloud-go/blob/master/LICENSE)
- code.cloudfoundry.org/clock [Apache License 2.0](https://github.com/cloudfoundry/clock/blob/master/LICENSE)
- collectd.org [MIT License](https://git.octo.it/?p=collectd.git;a=blob;f=COPYING;hb=HEAD)
- github.com/Azure/azure-amqp-common-go [MIT License](https://github.com/Azure/azure-amqp-common-go/blob/master/LICENSE)
- github.com/Azure/azure-event-hubs-go [MIT License](https://github.com/Azure/azure-event-hubs-go/blob/master/LICENSE)
- github.com/Azure/azure-pipeline-go [MIT License](https://github.com/Azure/azure-pipeline-go/blob/master/LICENSE)
- github.com/Azure/azure-sdk-for-go [Apache License 2.0](https://github.com/Azure/azure-sdk-for-go/blob/master/LICENSE)
- github.com/Azure/azure-storage-queue-go [MIT License](https://github.com/Azure/azure-storage-queue-go/blob/master/LICENSE)
- github.com/Azure/go-amqp [MIT License](https://github.com/Azure/go-amqp/blob/master/LICENSE)
- github.com/Azure/go-autorest [Apache License 2.0](https://github.com/Azure/go-autorest/blob/master/LICENSE)
- github.com/Mellanox/rdmamap [Apache License 2.0](https://github.com/Mellanox/rdmamap/blob/master/LICENSE)
- github.com/Microsoft/ApplicationInsights-Go [MIT License](https://github.com/Microsoft/ApplicationInsights-Go/blob/master/LICENSE)
- github.com/Microsoft/go-winio [MIT License](https://github.com/Microsoft/go-winio/blob/master/LICENSE)
- github.com/Shopify/sarama [MIT License](https://github.com/Shopify/sarama/blob/master/LICENSE)
- github.com/StackExchange/wmi [MIT License](https://github.com/StackExchange/wmi/blob/master/LICENSE)
- github.com/aerospike/aerospike-client-go [Apache License 2.0](https://github.com/aerospike/aerospike-client-go/blob/master/LICENSE)
- github.com/alecthomas/units [MIT License](https://github.com/alecthomas/units/blob/master/COPYING)
- github.com/amir/raidman [The Unlicense](https://github.com/amir/raidman/blob/master/UNLICENSE)
- github.com/apache/thrift [Apache License 2.0](https://github.com/apache/thrift/blob/master/LICENSE)
- github.com/aristanetworks/glog [Apache License 2.0](https://github.com/aristanetworks/glog/blob/master/LICENSE)
- github.com/aristanetworks/goarista [Apache License 2.0](https://github.com/aristanetworks/goarista/blob/master/COPYING)
- github.com/aws/aws-sdk-go [Apache License 2.0](https://github.com/aws/aws-sdk-go/blob/master/LICENSE.txt)
- github.com/benbjohnson/clock [MIT License](https://github.com/benbjohnson/clock/blob/master/LICENSE)
- github.com/beorn7/perks [MIT License](https://github.com/beorn7/perks/blob/master/LICENSE)
- github.com/caio/go-tdigest [MIT License](https://github.com/caio/go-tdigest/blob/master/LICENSE)
- github.com/cenkalti/backoff [MIT License](https://github.com/cenkalti/backoff/blob/master/LICENSE)
- github.com/cespare/xxhash [MIT License](https://github.com/cespare/xxhash/blob/master/LICENSE.txt)
- github.com/cisco-ie/nx-telemetry-proto [Apache License 2.0](https://github.com/cisco-ie/nx-telemetry-proto/blob/master/LICENSE)
- github.com/couchbase/go-couchbase [MIT License](https://github.com/couchbase/go-couchbase/blob/master/LICENSE)
- github.com/couchbase/gomemcached [MIT License](https://github.com/couchbase/gomemcached/blob/master/LICENSE)
- github.com/couchbase/goutils [COUCHBASE INC. COMMUNITY EDITION LICENSE](https://github.com/couchbase/goutils/blob/master/LICENSE.md)
- github.com/davecgh/go-spew [ISC License](https://github.com/davecgh/go-spew/blob/master/LICENSE)
- github.com/denisenkom/go-mssqldb [BSD 3-Clause "New" or "Revised" License](https://github.com/denisenkom/go-mssqldb/blob/master/LICENSE.txt)
- github.com/devigned/tab [MIT License](https://github.com/devigned/tab/blob/master/LICENSE)
- github.com/dgrijalva/jwt-go [MIT License](https://github.com/dgrijalva/jwt-go/blob/master/LICENSE)
- github.com/dimchansky/utfbom [Apache License 2.0](https://github.com/dimchansky/utfbom/blob/master/LICENSE)
- github.com/docker/distribution [Apache License 2.0](https://github.com/docker/distribution/blob/master/LICENSE)
- github.com/docker/docker [Apache License 2.0](https://github.com/docker/docker/blob/master/LICENSE)
- github.com/docker/go-connections [Apache License 2.0](https://github.com/docker/go-connections/blob/master/LICENSE)
- github.com/docker/go-units [Apache License 2.0](https://github.com/docker/go-units/blob/master/LICENSE)
- github.com/docker/libnetwork [Apache License 2.0](https://github.com/docker/libnetwork/blob/master/LICENSE)
- github.com/eapache/go-resiliency [MIT License](https://github.com/eapache/go-resiliency/blob/master/LICENSE)
- github.com/eapache/go-xerial-snappy [MIT License](https://github.com/eapache/go-xerial-snappy/blob/master/LICENSE)
- github.com/eapache/queue [MIT License](https://github.com/eapache/queue/blob/master/LICENSE)
- github.com/eclipse/paho.mqtt.golang [Eclipse Public License - v 1.0](https://github.com/eclipse/paho.mqtt.golang/blob/master/LICENSE)
- github.com/ericchiang/k8s [Apache License 2.0](https://github.com/ericchiang/k8s/blob/master/LICENSE)
- github.com/ghodss/yaml [MIT License](https://github.com/ghodss/yaml/blob/master/LICENSE)
- github.com/glinton/ping [MIT License](https://github.com/glinton/ping/blob/master/LICENSE)
- github.com/go-logfmt/logfmt [MIT License](https://github.com/go-logfmt/logfmt/blob/master/LICENSE)
- github.com/go-ole/go-ole [MIT License](https://github.com/go-ole/go-ole/blob/master/LICENSE)
- github.com/go-redis/redis [BSD 2-Clause "Simplified" License](https://github.com/go-redis/redis/blob/master/LICENSE)
- github.com/go-sql-driver/mysql [Mozilla Public License 2.0](https://github.com/go-sql-driver/mysql/blob/master/LICENSE)
- github.com/goburrow/modbus [BSD 3-Clause "New" or "Revised" License](https://github.com/goburrow/modbus/blob/master/LICENSE)
- github.com/goburrow/serial [MIT License](https://github.com/goburrow/serial/LICENSE)
- github.com/gobwas/glob [MIT License](https://github.com/gobwas/glob/blob/master/LICENSE)
- github.com/gofrs/uuid [MIT License](https://github.com/gofrs/uuid/blob/master/LICENSE)
- github.com/gogo/protobuf [BSD 3-Clause Clear License](https://github.com/gogo/protobuf/blob/master/LICENSE)
- github.com/golang/geo [Apache License 2.0](https://github.com/golang/geo/blob/master/LICENSE)
- github.com/golang/groupcache [Apache License 2.0](https://github.com/golang/groupcache/blob/master/LICENSE)
- github.com/golang/mock [Apache License 2.0](https://github.com/golang/mock/blob/master/LICENSE)
- github.com/golang/protobuf [BSD 3-Clause "New" or "Revised" License](https://github.com/golang/protobuf/blob/master/LICENSE)
- github.com/golang/snappy [BSD 3-Clause "New" or "Revised" License](https://github.com/golang/snappy/blob/master/LICENSE)
- github.com/google/go-cmp [BSD 3-Clause "New" or "Revised" License](https://github.com/google/go-cmp/blob/master/LICENSE)
- github.com/google/go-github [BSD 3-Clause "New" or "Revised" License](https://github.com/google/go-github/blob/master/LICENSE)
- github.com/google/go-querystring [BSD 3-Clause "New" or "Revised" License](https://github.com/google/go-querystring/blob/master/LICENSE)
- github.com/googleapis/gax-go [BSD 3-Clause "New" or "Revised" License](https://github.com/googleapis/gax-go/blob/master/LICENSE)
- github.com/gorilla/mux [BSD 3-Clause "New" or "Revised" License](https://github.com/gorilla/mux/blob/master/LICENSE)
- github.com/hailocab/go-hostpool [MIT License](https://github.com/hailocab/go-hostpool/blob/master/LICENSE)
- github.com/harlow/kinesis-consumer [MIT License](https://github.com/harlow/kinesis-consumer/blob/master/MIT-LICENSE)
- github.com/hashicorp/consul [Mozilla Public License 2.0](https://github.com/hashicorp/consul/blob/master/LICENSE)
- github.com/hashicorp/go-cleanhttp [Mozilla Public License 2.0](https://github.com/hashicorp/go-cleanhttp/blob/master/LICENSE)
- github.com/hashicorp/go-rootcerts [Mozilla Public License 2.0](https://github.com/hashicorp/go-rootcerts/blob/master/LICENSE)
- github.com/hashicorp/go-uuid [Mozilla Public License 2.0](https://github.com/hashicorp/go-uuid/LICENSE)
- github.com/hashicorp/serf [Mozilla Public License 2.0](https://github.com/hashicorp/serf/blob/master/LICENSE)
- github.com/influxdata/go-syslog [MIT License](https://github.com/influxdata/go-syslog/blob/develop/LICENSE)
- github.com/influxdata/tail [MIT License](https://github.com/influxdata/tail/blob/master/LICENSE.txt)
- github.com/influxdata/toml [MIT License](https://github.com/influxdata/toml/blob/master/LICENSE)
- github.com/influxdata/wlog [MIT License](https://github.com/influxdata/wlog/blob/master/LICENSE)
- github.com/jackc/pgx [MIT License](https://github.com/jackc/pgx/blob/master/LICENSE)
- github.com/jcmturner/gofork [BSD 3-Clause "New" or "Revised" License](https://github.com/jcmturner/gofork/blob/master/LICENSE)
- github.com/jmespath/go-jmespath [Apache License 2.0](https://github.com/jmespath/go-jmespath/blob/master/LICENSE)
- github.com/jpillora/backoff [MIT License](https://github.com/jpillora/backoff/blob/master/LICENSE)
- github.com/kardianos/service [zlib License](https://github.com/kardianos/service/blob/master/LICENSE)
- github.com/karrick/godirwalk [BSD 2-Clause "Simplified" License](https://github.com/karrick/godirwalk/blob/master/LICENSE)
- github.com/kballard/go-shellquote [MIT License](https://github.com/kballard/go-shellquote/blob/master/LICENSE)
- github.com/klauspost/compress [BSD 3-Clause Clear License](https://github.com/klauspost/compress/blob/master/LICENSE)
- github.com/konsorten/go-windows-terminal-sequences [MIT License](https://github.com/konsorten/go-windows-terminal-sequences/blob/master/LICENSE)
- github.com/kubernetes/apimachinery [Apache License 2.0](https://github.com/kubernetes/apimachinery/blob/master/LICENSE)
- github.com/leodido/ragel-machinery [MIT License](https://github.com/leodido/ragel-machinery/blob/develop/LICENSE)
- github.com/mailru/easyjson [MIT License](https://github.com/mailru/easyjson/blob/master/LICENSE)
- github.com/matttproud/golang_protobuf_extensions [Apache License 2.0](https://github.com/matttproud/golang_protobuf_extensions/blob/master/LICENSE)
- github.com/mdlayher/apcupsd [MIT License](https://github.com/mdlayher/apcupsd/blob/master/LICENSE.md)
- github.com/mdlayher/genetlink [MIT License](https://github.com/mdlayher/genetlink/blob/master/LICENSE.md)
- github.com/mdlayher/netlink [MIT License](https://github.com/mdlayher/netlink/blob/master/LICENSE.md)
- github.com/miekg/dns [BSD 3-Clause Clear License](https://github.com/miekg/dns/blob/master/LICENSE)
- github.com/mitchellh/go-homedir [MIT License](https://github.com/mitchellh/go-homedir/blob/master/LICENSE)
- github.com/mitchellh/mapstructure [MIT License](https://github.com/mitchellh/mapstructure/blob/master/LICENSE)
- github.com/multiplay/go-ts3 [BSD 2-Clause "Simplified" License](https://github.com/multiplay/go-ts3/blob/master/LICENSE)
- github.com/naoina/go-stringutil [MIT License](https://github.com/naoina/go-stringutil/blob/master/LICENSE)
- github.com/nats-io/jwt [Apache License 2.0](https://github.com/nats-io/jwt/blob/master/LICENSE)
- github.com/nats-io/nats-server [Apache License 2.0](https://github.com/nats-io/nats-server/blob/master/LICENSE)
- github.com/nats-io/nats.go [Apache License 2.0](https://github.com/nats-io/nats.go/blob/master/LICENSE)
- github.com/nats-io/nkeys [Apache License 2.0](https://github.com/nats-io/nkeys/blob/master/LICENSE)
- github.com/nats-io/nuid [Apache License 2.0](https://github.com/nats-io/nuid/blob/master/LICENSE)
- github.com/newrelic/newrelic-telemetry-sdk-go [Apache License 2.0](https://github.com/newrelic/newrelic-telemetry-sdk-go/blob/master/LICENSE.md)
- github.com/nsqio/go-nsq [MIT License](https://github.com/nsqio/go-nsq/blob/master/LICENSE)
- github.com/openconfig/gnmi [Apache License 2.0](https://github.com/openconfig/gnmi/blob/master/LICENSE)
- github.com/opencontainers/go-digest [Apache License 2.0](https://github.com/opencontainers/go-digest/blob/master/LICENSE)
- github.com/opencontainers/image-spec [Apache License 2.0](https://github.com/opencontainers/image-spec/blob/master/LICENSE)
- github.com/openzipkin/zipkin-go-opentracing [MIT License](https://github.com/openzipkin/zipkin-go-opentracing/blob/master/LICENSE)
- github.com/pierrec/lz4 [BSD 3-Clause "New" or "Revised" License](https://github.com/pierrec/lz4/blob/master/LICENSE)
- github.com/pkg/errors [BSD 2-Clause "Simplified" License](https://github.com/pkg/errors/blob/master/LICENSE)
- github.com/pmezard/go-difflib [BSD 3-Clause Clear License](https://github.com/pmezard/go-difflib/blob/master/LICENSE)
- github.com/prometheus/client_golang [Apache License 2.0](https://github.com/prometheus/client_golang/blob/master/LICENSE)
- github.com/prometheus/client_model [Apache License 2.0](https://github.com/prometheus/client_model/blob/master/LICENSE)
- github.com/prometheus/common [Apache License 2.0](https://github.com/prometheus/common/blob/master/LICENSE)
- github.com/prometheus/procfs [Apache License 2.0](https://github.com/prometheus/procfs/blob/master/LICENSE)
- github.com/rcrowley/go-metrics [MIT License](https://github.com/rcrowley/go-metrics/blob/master/LICENSE)
- github.com/safchain/ethtool [Apache License 2.0](https://github.com/safchain/ethtool/blob/master/LICENSE)
- github.com/samuel/go-zookeeper [BSD 3-Clause Clear License](https://github.com/samuel/go-zookeeper/blob/master/LICENSE)
- github.com/shirou/gopsutil [BSD 3-Clause Clear License](https://github.com/shirou/gopsutil/blob/master/LICENSE)
- github.com/sirupsen/logrus [MIT License](https://github.com/sirupsen/logrus/blob/master/LICENSE)
- github.com/soniah/gosnmp [BSD 2-Clause "Simplified" License](https://github.com/soniah/gosnmp/blob/master/LICENSE)
- github.com/streadway/amqp [BSD 2-Clause "Simplified" License](https://github.com/streadway/amqp/blob/master/LICENSE)
- github.com/stretchr/objx [MIT License](https://github.com/stretchr/objx/blob/master/LICENSE)
- github.com/stretchr/testify [custom -- permissive](https://github.com/stretchr/testify/blob/master/LICENSE)
- github.com/tidwall/gjson [MIT License](https://github.com/tidwall/gjson/blob/master/LICENSE)
- github.com/tidwall/match [MIT License](https://github.com/tidwall/match/blob/master/LICENSE)
- github.com/tidwall/pretty [MIT License](https://github.com/tidwall/pretty/blob/master/LICENSE)
- github.com/vishvananda/netlink [Apache License 2.0](https://github.com/vishvananda/netlink/blob/master/LICENSE)
- github.com/vishvananda/netns [Apache License 2.0](https://github.com/vishvananda/netns/blob/master/LICENSE)
- github.com/vjeantet/grok [Apache License 2.0](https://github.com/vjeantet/grok/blob/master/LICENSE)
- github.com/vmware/govmomi [Apache License 2.0](https://github.com/vmware/govmomi/blob/master/LICENSE.txt)
- github.com/wavefronthq/wavefront-sdk-go [Apache License 2.0](https://github.com/wavefrontHQ/wavefront-sdk-go/blob/master/LICENSE)
- github.com/wvanbergen/kafka [MIT License](https://github.com/wvanbergen/kafka/blob/master/LICENSE)
- github.com/wvanbergen/kazoo-go [MIT License](https://github.com/wvanbergen/kazoo-go/blob/master/MIT-LICENSE)
- github.com/yuin/gopher-lua [MIT License](https://github.com/yuin/gopher-lua/blob/master/LICENSE)
- go.opencensus.io [Apache License 2.0](https://github.com/census-instrumentation/opencensus-go/blob/master/LICENSE)
- golang.org/x/crypto [BSD 3-Clause Clear License](https://github.com/golang/crypto/blob/master/LICENSE)
- golang.org/x/net [BSD 3-Clause Clear License](https://github.com/golang/net/blob/master/LICENSE)
- golang.org/x/oauth2 [BSD 3-Clause "New" or "Revised" License](https://github.com/golang/oauth2/blob/master/LICENSE)
- golang.org/x/sync [BSD 3-Clause "New" or "Revised" License](https://github.com/golang/sync/blob/master/LICENSE)
- golang.org/x/sys [BSD 3-Clause Clear License](https://github.com/golang/sys/blob/master/LICENSE)
- golang.org/x/text [BSD 3-Clause Clear License](https://github.com/golang/text/blob/master/LICENSE)
- golang.org/x/time [BSD 3-Clause Clear License](https://github.com/golang/time/blob/master/LICENSE)
- golang.zx2c4.com/wireguard [MIT License](https://github.com/WireGuard/wgctrl-go/blob/master/LICENSE.md)
- golang.zx2c4.com/wireguard/wgctrl [MIT License](https://github.com/WireGuard/wgctrl-go/blob/master/LICENSE.md)
- google.golang.org/api [BSD 3-Clause "New" or "Revised" License](https://github.com/googleapis/google-api-go-client/blob/master/LICENSE)
- google.golang.org/genproto [Apache License 2.0](https://github.com/google/go-genproto/blob/master/LICENSE)
- google.golang.org/grpc [Apache License 2.0](https://github.com/grpc/grpc-go/blob/master/LICENSE)
- gopkg.in/asn1-ber.v1 [MIT License](https://github.com/go-asn1-ber/asn1-ber/blob/v1.3/LICENSE)
- gopkg.in/fatih/pool.v2 [MIT License](https://github.com/fatih/pool/blob/v2.0.0/LICENSE)
- gopkg.in/fsnotify.v1 [BSD 3-Clause "New" or "Revised" License](https://github.com/fsnotify/fsnotify/blob/v1.4.7/LICENSE)
- gopkg.in/gorethink/gorethink.v3 [Apache License 2.0](https://github.com/rethinkdb/rethinkdb-go/blob/v3.0.5/LICENSE)
- gopkg.in/inf.v0 [BSD 3-Clause "New" or "Revised" License](https://github.com/go-inf/inf/blob/v0.9.1/LICENSE)
- gopkg.in/jcmturner/aescts.v1 [Apache License 2.0](https://github.com/jcmturner/aescts/blob/v1.0.1/LICENSE)
- gopkg.in/jcmturner/dnsutils.v1 [Apache License 2.0](https://github.com/jcmturner/dnsutils/blob/v1.0.1/LICENSE)
- gopkg.in/jcmturner/gokrb5.v7 [Apache License 2.0](https://github.com/jcmturner/gokrb5/tree/v7.5.0/LICENSE)
- gopkg.in/jcmturner/rpc.v1 [Apache License 2.0](https://github.com/jcmturner/rpc/blob/v1.1.0/LICENSE)
- gopkg.in/ldap.v3 [MIT License](https://github.com/go-ldap/ldap/blob/v3.1.7/LICENSE)
- gopkg.in/mgo.v2 [BSD 2-Clause "Simplified" License](https://github.com/go-mgo/mgo/blob/v2/LICENSE)
- gopkg.in/olivere/elastic.v5 [MIT License](https://github.com/olivere/elastic/blob/v5.0.76/LICENSE)
- gopkg.in/tomb.v1 [BSD 3-Clause Clear License](https://github.com/go-tomb/tomb/blob/v1/LICENSE)
- gopkg.in/yaml.v2 [Apache License 2.0](https://github.com/go-yaml/yaml/blob/v2.2.2/LICENSE)
## telegraf used and modified code from these projects
- github.com/DataDog/datadog-agent [Apache License 2.0](https://github.com/DataDog/datadog-agent/LICENSE)
# List
- collectd.org [MIT LICENSE](https://github.com/collectd/go-collectd/blob/master/LICENSE)
- github.com/Shopify/sarama [MIT LICENSE](https://github.com/Shopify/sarama/blob/master/MIT-LICENSE)
- github.com/Sirupsen/logrus [MIT LICENSE](https://github.com/Sirupsen/logrus/blob/master/LICENSE)
- github.com/armon/go-metrics [MIT LICENSE](https://github.com/armon/go-metrics/blob/master/LICENSE)
- github.com/boltdb/bolt [MIT LICENSE](https://github.com/boltdb/bolt/blob/master/LICENSE)
- github.com/cenkalti/backoff [MIT LICENSE](https://github.com/cenkalti/backoff/blob/master/LICENSE)
- github.com/dancannon/gorethink [APACHE LICENSE](https://github.com/dancannon/gorethink/blob/master/LICENSE)
- github.com/eapache/go-resiliency [MIT LICENSE](https://github.com/eapache/go-resiliency/blob/master/LICENSE)
- github.com/eapache/queue [MIT LICENSE](https://github.com/eapache/queue/blob/master/LICENSE)
- github.com/fsouza/go-dockerclient [BSD LICENSE](https://github.com/fsouza/go-dockerclient/blob/master/LICENSE)
- github.com/go-sql-driver/mysql [MPL LICENSE](https://github.com/go-sql-driver/mysql/blob/master/LICENSE)
- github.com/gogo/protobuf [BSD LICENSE](https://github.com/gogo/protobuf/blob/master/LICENSE)
- github.com/golang/protobuf [BSD LICENSE](https://github.com/golang/protobuf/blob/master/LICENSE)
- github.com/golang/snappy [BSD LICENSE](https://github.com/golang/snappy/blob/master/LICENSE)
- github.com/hashicorp/go-msgpack [BSD LICENSE](https://github.com/hashicorp/go-msgpack/blob/master/LICENSE)
- github.com/hashicorp/raft [MPL LICENSE](https://github.com/hashicorp/raft/blob/master/LICENSE)
- github.com/hashicorp/raft-boltdb [MPL LICENSE](https://github.com/hashicorp/raft-boltdb/blob/master/LICENSE)
- github.com/kardianos/service [ZLIB LICENSE](https://github.com/kardianos/service/blob/master/LICENSE) (License not named but matches word for word with ZLib)
- github.com/kballard/go-shellquote [MIT LICENSE](https://github.com/kballard/go-shellquote/blob/master/LICENSE)
- github.com/lib/pq [MIT LICENSE](https://github.com/lib/pq/blob/master/LICENSE.md)
- github.com/matttproud/golang_protobuf_extensions [APACHE LICENSE](https://github.com/matttproud/golang_protobuf_extensions/blob/master/LICENSE)
- github.com/naoina/go-stringutil [MIT LICENSE](https://github.com/naoina/go-stringutil/blob/master/LICENSE)
- github.com/naoina/toml [MIT LICENSE](https://github.com/naoina/toml/blob/master/LICENSE)
- github.com/prometheus/client_golang [APACHE LICENSE](https://github.com/prometheus/client_golang/blob/master/LICENSE)
- github.com/samuel/go-zookeeper [BSD LICENSE](https://github.com/samuel/go-zookeeper/blob/master/LICENSE)
- github.com/stretchr/objx [MIT LICENSE](github.com/stretchr/objx)
- github.com/stretchr/testify [MIT LICENSE](https://github.com/stretchr/testify/blob/master/LICENCE.txt)
- github.com/wvanbergen/kafka [MIT LICENSE](https://github.com/wvanbergen/kafka/blob/master/LICENSE)
- github.com/wvanbergen/kazoo-go [MIT LICENSE](https://github.com/wvanbergen/kazoo-go/blob/master/MIT-LICENSE)
- gopkg.in/dancannon/gorethink.v1 [APACHE LICENSE](https://github.com/dancannon/gorethink/blob/v1.1.2/LICENSE)
- gopkg.in/mgo.v2 [BSD LICENSE](https://github.com/go-mgo/mgo/blob/v2/LICENSE)
- golang.org/x/crypto/ [BSD LICENSE](https://github.com/golang/crypto/blob/master/LICENSE)

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@ -1,22 +0,0 @@
# Metrics
Telegraf metrics are the internal representation used to model data during
processing. Metrics are closely based on InfluxDB's data model and contain
four main components:
- **Measurement Name**: Description and namespace for the metric.
- **Tags**: Key/Value string pairs and usually used to identify the
metric.
- **Fields**: Key/Value pairs that are typed and usually contain the
metric data.
- **Timestamp**: Date and time associated with the fields.
This metric type exists only in memory and must be converted to a concrete
representation in order to be transmitted or viewed. To achieve this we
provide several [output data formats][] sometimes referred to as
*serializers*. Our default serializer converts to [InfluxDB Line
Protocol][line protocol] which provides a high performance and one-to-one
direct mapping from Telegraf metrics.
[output data formats]: /docs/DATA_FORMATS_OUTPUT.md
[line protocol]: /plugins/serializers/influx

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@ -1,114 +0,0 @@
### Output Plugins
This section is for developers who want to create a new output sink. Outputs
are created in a similar manner as collection plugins, and their interface has
similar constructs.
### Output Plugin Guidelines
- An output must conform to the [telegraf.Output][] interface.
- Outputs should call `outputs.Add` in their `init` function to register
themselves. See below for a quick example.
- To be available within Telegraf itself, plugins must add themselves to the
`github.com/influxdata/telegraf/plugins/outputs/all/all.go` file.
- The `SampleConfig` function should return valid toml that describes how the
plugin can be configured. This is included in `telegraf config`. Please
consult the [SampleConfig][] page for the latest style guidelines.
- The `Description` function should say in one line what this output does.
- Follow the recommended [CodeStyle][].
### Output Plugin Example
```go
package simpleoutput
// simpleoutput.go
import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/outputs"
)
type Simple struct {
Ok bool `toml:"ok"`
}
func (s *Simple) Description() string {
return "a demo output"
}
func (s *Simple) SampleConfig() string {
return `
ok = true
`
}
func (s *Simple) Init() error {
return nil
}
func (s *Simple) Connect() error {
// Make a connection to the URL here
return nil
}
func (s *Simple) Close() error {
// Close connection to the URL here
return nil
}
func (s *Simple) Write(metrics []telegraf.Metric) error {
for _, metric := range metrics {
// write `metric` to the output sink here
}
return nil
}
func init() {
outputs.Add("simpleoutput", func() telegraf.Output { return &Simple{} })
}
```
## Data Formats
Some output plugins, such as the [file][] plugin, can write in any supported
[output data formats][].
In order to enable this, you must specify a
`SetSerializer(serializer serializers.Serializer)`
function on the plugin object (see the file plugin for an example), as well as
defining `serializer` as a field of the object.
You can then utilize the serializer internally in your plugin, serializing data
before it's written. Telegraf's configuration layer will take care of
instantiating and creating the `Serializer` object.
You should also add the following to your `SampleConfig()`:
```toml
## Data format to output.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
```
## Flushing Metrics to Outputs
Metrics are flushed to outputs when any of the following events happen:
- `flush_interval + rand(flush_jitter)` has elapsed since start or the last flush interval
- At least `metric_batch_size` count of metrics are waiting in the buffer
- The telegraf process has received a SIGUSR1 signal
Note that if the flush takes longer than the `agent.interval` to write the metrics
to the output, you'll see a message saying the output `did not complete within its
flush interval`. This may mean your output is not keeping up with the flow of metrics,
and you may want to look into enabling compression, reducing the size of your metrics,
or investigate other reasons why the writes might be taking longer than expected.
[file]: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/file
[output data formats]: https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
[SampleConfig]: https://github.com/influxdata/telegraf/wiki/SampleConfig
[CodeStyle]: https://github.com/influxdata/telegraf/wiki/CodeStyle
[telegraf.Output]: https://godoc.org/github.com/influxdata/telegraf#Output

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@ -1,69 +0,0 @@
### Processor Plugins
This section is for developers who want to create a new processor plugin.
### Processor Plugin Guidelines
* A processor must conform to the [telegraf.Processor][] interface.
* Processors should call `processors.Add` in their `init` function to register
themselves. See below for a quick example.
* To be available within Telegraf itself, plugins must add themselves to the
`github.com/influxdata/telegraf/plugins/processors/all/all.go` file.
* The `SampleConfig` function should return valid toml that describes how the
processor can be configured. This is include in the output of `telegraf
config`.
- The `SampleConfig` function should return valid toml that describes how the
plugin can be configured. This is included in `telegraf config`. Please
consult the [SampleConfig][] page for the latest style guidelines.
* The `Description` function should say in one line what this processor does.
- Follow the recommended [CodeStyle][].
### Processor Plugin Example
```go
package printer
// printer.go
import (
"fmt"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/processors"
)
type Printer struct {
}
var sampleConfig = `
`
func (p *Printer) SampleConfig() string {
return sampleConfig
}
func (p *Printer) Description() string {
return "Print all metrics that pass through this filter."
}
func (p *Printer) Init() error {
return nil
}
func (p *Printer) Apply(in ...telegraf.Metric) []telegraf.Metric {
for _, metric := range in {
fmt.Println(metric.String())
}
return in
}
func init() {
processors.Add("printer", func() telegraf.Processor {
return &Printer{}
})
}
```
[SampleConfig]: https://github.com/influxdata/telegraf/wiki/SampleConfig
[CodeStyle]: https://github.com/influxdata/telegraf/wiki/CodeStyle
[telegraf.Processor]: https://godoc.org/github.com/influxdata/telegraf#Processor

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@ -1,21 +0,0 @@
# Telegraf
- Concepts
- [Metrics][metrics]
- [Input Data Formats][parsers]
- [Output Data Formats][serializers]
- [Aggregators & Processors][aggproc]
- Administration
- [Configuration][conf]
- [Profiling][profiling]
- [Windows Service][winsvc]
- [FAQ][faq]
[conf]: /docs/CONFIGURATION.md
[metrics]: /docs/METRICS.md
[parsers]: /docs/DATA_FORMATS_INPUT.md
[serializers]: /docs/DATA_FORMATS_OUTPUT.md
[aggproc]: /docs/AGGREGATORS_AND_PROCESSORS.md
[profiling]: /docs/PROFILING.md
[winsvc]: /docs/WINDOWS_SERVICE.md
[faq]: /docs/FAQ.md

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@ -1,135 +0,0 @@
# Template Patterns
Template patterns are a mini language that describes how a dot delimited
string should be mapped to and from [metrics][].
A template has the form:
```
"host.mytag.mytag.measurement.measurement.field*"
```
Where the following keywords can be set:
1. `measurement`: specifies that this section of the graphite bucket corresponds
to the measurement name. This can be specified multiple times.
2. `field`: specifies that this section of the graphite bucket corresponds
to the field name. This can be specified multiple times.
3. `measurement*`: specifies that all remaining elements of the graphite bucket
correspond to the measurement name.
4. `field*`: specifies that all remaining elements of the graphite bucket
correspond to the field name.
Any part of the template that is not a keyword is treated as a tag key. This
can also be specified multiple times.
**NOTE:** `field*` cannot be used in conjunction with `measurement*`.
### Examples
#### Measurement & Tag Templates
The most basic template is to specify a single transformation to apply to all
incoming metrics. So the following template:
```toml
templates = [
"region.region.measurement*"
]
```
would result in the following Graphite -> Telegraf transformation.
```
us.west.cpu.load 100
=> cpu.load,region=us.west value=100
```
Multiple templates can also be specified, but these should be differentiated
using _filters_ (see below for more details)
```toml
templates = [
"*.*.* region.region.measurement", # <- all 3-part measurements will match this one.
"*.*.*.* region.region.host.measurement", # <- all 4-part measurements will match this one.
]
```
#### Field Templates
The field keyword tells Telegraf to give the metric that field name.
So the following template:
```toml
separator = "_"
templates = [
"measurement.measurement.field.field.region"
]
```
would result in the following Graphite -> Telegraf transformation.
```
cpu.usage.idle.percent.eu-east 100
=> cpu_usage,region=eu-east idle_percent=100
```
The field key can also be derived from all remaining elements of the graphite
bucket by specifying `field*`:
```toml
separator = "_"
templates = [
"measurement.measurement.region.field*"
]
```
which would result in the following Graphite -> Telegraf transformation.
```
cpu.usage.eu-east.idle.percentage 100
=> cpu_usage,region=eu-east idle_percentage=100
```
#### Filter Templates
Users can also filter the template(s) to use based on the name of the bucket,
using glob matching, like so:
```toml
templates = [
"cpu.* measurement.measurement.region",
"mem.* measurement.measurement.host"
]
```
which would result in the following transformation:
```
cpu.load.eu-east 100
=> cpu_load,region=eu-east value=100
mem.cached.localhost 256
=> mem_cached,host=localhost value=256
```
#### Adding Tags
Additional tags can be added to a metric that don't exist on the received metric.
You can add additional tags by specifying them after the pattern.
Tags have the same format as the line protocol.
Multiple tags are separated by commas.
```toml
templates = [
"measurement.measurement.field.region datacenter=1a"
]
```
would result in the following Graphite -> Telegraf transformation.
```
cpu.usage.idle.eu-east 100
=> cpu_usage,region=eu-east,datacenter=1a idle=100
```
[metrics]: /docs/METRICS.md

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@ -1,105 +0,0 @@
# Transport Layer Security
There is an ongoing effort to standardize TLS options across plugins. When
possible, plugins will provide the standard settings described below. With the
exception of the advanced configuration available TLS settings will be
documented in the sample configuration.
### Client Configuration
For client TLS support we have the following options:
```toml
## Root certificates for verifying server certificates encoded in PEM format.
# tls_ca = "/etc/telegraf/ca.pem"
## The public and private keypairs for the client encoded in PEM format. May
## contain intermediate certificates.
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Skip TLS verification.
# insecure_skip_verify = false
```
### Server Configuration
The server TLS configuration provides support for TLS mutual authentication:
```toml
## Set one or more allowed client CA certificate file names to
## enable mutually authenticated TLS connections.
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
## Add service certificate and key.
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
```
#### Advanced Configuration
For plugins using the standard server configuration you can also set several
advanced settings. These options are not included in the sample configuration
for the interest of brevity.
```toml
## Define list of allowed ciphers suites. If not defined the default ciphers
## supported by Go will be used.
## ex: tls_cipher_suites = [
## "TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305",
## "TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305",
## "TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256",
## "TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256",
## "TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384",
## "TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384",
## "TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256",
## "TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA",
## "TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256",
## "TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA",
## "TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA",
## "TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA",
## "TLS_RSA_WITH_AES_128_GCM_SHA256",
## "TLS_RSA_WITH_AES_256_GCM_SHA384",
## "TLS_RSA_WITH_AES_128_CBC_SHA256",
## "TLS_RSA_WITH_AES_128_CBC_SHA",
## "TLS_RSA_WITH_AES_256_CBC_SHA"
## ]
# tls_cipher_suites = []
## Minimum TLS version that is acceptable.
# tls_min_version = "TLS10"
## Maximum SSL/TLS version that is acceptable.
# tls_max_version = "TLS13"
```
Cipher suites for use with `tls_cipher_suites`:
- `TLS_RSA_WITH_RC4_128_SHA`
- `TLS_RSA_WITH_3DES_EDE_CBC_SHA`
- `TLS_RSA_WITH_AES_128_CBC_SHA`
- `TLS_RSA_WITH_AES_256_CBC_SHA`
- `TLS_RSA_WITH_AES_128_CBC_SHA256`
- `TLS_RSA_WITH_AES_128_GCM_SHA256`
- `TLS_RSA_WITH_AES_256_GCM_SHA384`
- `TLS_ECDHE_ECDSA_WITH_RC4_128_SHA`
- `TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA`
- `TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA`
- `TLS_ECDHE_RSA_WITH_RC4_128_SHA`
- `TLS_ECDHE_RSA_WITH_3DES_EDE_CBC_SHA`
- `TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA`
- `TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA`
- `TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256`
- `TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256`
- `TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256`
- `TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256`
- `TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384`
- `TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384`
- `TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305`
- `TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305`
- `TLS_AES_128_GCM_SHA256`
- `TLS_AES_256_GCM_SHA384`
- `TLS_CHACHA20_POLY1305_SHA256`
TLS versions for use with `tls_min_version` or `tls_max_version`:
- `TLS10`
- `TLS11`
- `TLS12`
- `TLS13`

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@ -5,7 +5,7 @@ the general steps to set it up.
1. Obtain the telegraf windows distribution
2. Create the directory `C:\Program Files\Telegraf` (if you install in a different
location simply specify the `--config` parameter with the desired location)
location simply specify the `-config` parameter with the desired location)
3. Place the telegraf.exe and the telegraf.conf config file into `C:\Program Files\Telegraf`
4. To install the service into the Windows Service Manager, run the following in PowerShell as an administrator (If necessary, you can wrap any spaces in the file paths in double quotes ""):
@ -26,15 +26,6 @@ the general steps to set it up.
> net start telegraf
```
## Config Directory
You can also specify a `--config-directory` for the service to use:
1. Create a directory for config snippets: `C:\Program Files\Telegraf\telegraf.d`
2. Include the `--config-directory` option when registering the service:
```
> C:\"Program Files"\Telegraf\telegraf.exe --service install --config C:\"Program Files"\Telegraf\telegraf.conf --config-directory C:\"Program Files"\Telegraf\telegraf.d
```
## Other supported operations
Telegraf can manage its own service through the --service flag:
@ -46,26 +37,3 @@ Telegraf can manage its own service through the --service flag:
| `telegraf.exe --service start` | Start the telegraf service |
| `telegraf.exe --service stop` | Stop the telegraf service |
## Install multiple services
Running multiple instances of Telegraf is seldom needed, as you can run
multiple instances of each plugin and route metric flow using the metric
filtering options. However, if you do need to run multiple telegraf instances
on a single system, you can install the service with the `--service-name` and
`--service-display-name` flags to give the services unique names:
```
> C:\"Program Files"\Telegraf\telegraf.exe --service install --service-name telegraf-1 --service-display-name "Telegraf 1"
> C:\"Program Files"\Telegraf\telegraf.exe --service install --service-name telegraf-2 --service-display-name "Telegraf 2"
```
## Troubleshooting
When Telegraf runs as a Windows service, Telegraf logs messages to Windows events log before configuration file with logging settings is loaded.
Check event log for an error reported by `telegraf` service in case of Telegraf service reports failure on its start: Event Viewer->Windows Logs->Application
**Troubleshooting common error #1067**
When installing as service in Windows, always double check to specify full path of the config file, otherwise windows service will fail to start
--config "C:\Program Files\Telegraf\telegraf.conf"

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@ -1,26 +1,18 @@
# Telegraf Configuration
#
# Telegraf configuration
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply surround
# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})
# Global tags can be specified here in key="value" format.
[global_tags]
# dc = "us-east-1" # will tag all metrics with dc=us-east-1
# rack = "1a"
## Environment variables can be used as tags, and throughout the config file
# user = "$USER"
# Configuration for telegraf agent
[agent]
@ -30,15 +22,11 @@
## ie, if interval="10s" then always collect on :00, :10, :20, etc.
round_interval = true
## Telegraf will send metrics to outputs in batches of at most
## metric_batch_size metrics.
## This controls the size of writes that Telegraf sends to output plugins.
metric_batch_size = 1000
## Maximum number of unwritten metrics per output. Increasing this value
## allows for longer periods of output downtime without dropping metrics at the
## cost of higher maximum memory usage.
metric_buffer_limit = 10000
## Telegraf will cache metric_buffer_limit metrics for each output, and will
## flush this buffer on a successful write.
metric_buffer_limit = 1000
## Flush the buffer whenever full, regardless of flush_interval.
flush_buffer_when_full = true
## Collection jitter is used to jitter the collection by a random amount.
## Each plugin will sleep for a random time within jitter before collecting.
@ -46,197 +34,58 @@
## same time, which can have a measurable effect on the system.
collection_jitter = "0s"
## Default flushing interval for all outputs. Maximum flush_interval will be
## flush_interval + flush_jitter
## Default flushing interval for all outputs. You shouldn't set this below
## interval. Maximum flush_interval will be flush_interval + flush_jitter
flush_interval = "10s"
## Jitter the flush interval by a random amount. This is primarily to avoid
## large write spikes for users running a large number of telegraf instances.
## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
flush_jitter = "0s"
## By default or when set to "0s", precision will be set to the same
## timestamp order as the collection interval, with the maximum being 1s.
## ie, when interval = "10s", precision will be "1s"
## when interval = "250ms", precision will be "1ms"
## Precision will NOT be used for service inputs. It is up to each individual
## service input to set the timestamp at the appropriate precision.
## Valid time units are "ns", "us" (or "µs"), "ms", "s".
precision = ""
## Log at debug level.
# debug = false
## Log only error level messages.
# quiet = false
## Log target controls the destination for logs and can be one of "file",
## "stderr" or, on Windows, "eventlog". When set to "file", the output file
## is determined by the "logfile" setting.
# logtarget = "file"
## Name of the file to be logged to when using the "file" logtarget. If set to
## the empty string then logs are written to stderr.
# logfile = ""
## The logfile will be rotated after the time interval specified. When set
## to 0 no time based rotation is performed. Logs are rotated only when
## written to, if there is no log activity rotation may be delayed.
# logfile_rotation_interval = "0d"
## The logfile will be rotated when it becomes larger than the specified
## size. When set to 0 no size based rotation is performed.
# logfile_rotation_max_size = "0MB"
## Maximum number of rotated archives to keep, any older logs are deleted.
## If set to -1, no archives are removed.
# logfile_rotation_max_archives = 5
## Logging configuration:
## Run telegraf in debug mode
debug = false
## Run telegraf in quiet mode
quiet = false
## Specify the log file name. The empty string means to log to stdout.
logfile = "/Program Files/Telegraf/telegraf.log"
## Override default hostname, if empty use os.Hostname()
hostname = ""
## If set to true, do no set the "host" tag in the telegraf agent.
omit_hostname = false
###############################################################################
# OUTPUT PLUGINS #
# OUTPUTS #
###############################################################################
# Configuration for sending metrics to InfluxDB
# Configuration for influxdb server to send metrics to
[[outputs.influxdb]]
## The full HTTP or UDP URL for your InfluxDB instance.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
# urls = ["unix:///var/run/influxdb.sock"]
# urls = ["udp://127.0.0.1:8089"]
# urls = ["http://127.0.0.1:8086"]
# The full HTTP or UDP endpoint URL for your InfluxDB instance.
# Multiple urls can be specified but it is assumed that they are part of the same
# cluster, this means that only ONE of the urls will be written to each interval.
# urls = ["udp://localhost:8089"] # UDP endpoint example
urls = ["http://localhost:8086"] # required
# The target database for metrics (telegraf will create it if not exists)
database = "telegraf" # required
# Precision of writes, valid values are "ns", "us" (or "µs"), "ms", "s", "m", "h".
# note: using second precision greatly helps InfluxDB compression
precision = "s"
## The target database for metrics; will be created as needed.
## For UDP url endpoint database needs to be configured on server side.
# database = "telegraf"
## The value of this tag will be used to determine the database. If this
## tag is not set the 'database' option is used as the default.
# database_tag = ""
## If true, the 'database_tag' will not be included in the written metric.
# exclude_database_tag = false
## If true, no CREATE DATABASE queries will be sent. Set to true when using
## Telegraf with a user without permissions to create databases or when the
## database already exists.
# skip_database_creation = false
## Name of existing retention policy to write to. Empty string writes to
## the default retention policy. Only takes effect when using HTTP.
# retention_policy = ""
## The value of this tag will be used to determine the retention policy. If this
## tag is not set the 'retention_policy' option is used as the default.
# retention_policy_tag = ""
## If true, the 'retention_policy_tag' will not be included in the written metric.
# exclude_retention_policy_tag = false
## Write consistency (clusters only), can be: "any", "one", "quorum", "all".
## Only takes effect when using HTTP.
# write_consistency = "any"
## Timeout for HTTP messages.
# timeout = "5s"
## HTTP Basic Auth
## Write timeout (for the InfluxDB client), formatted as a string.
## If not provided, will default to 5s. 0s means no timeout (not recommended).
timeout = "5s"
# username = "telegraf"
# password = "metricsmetricsmetricsmetrics"
## HTTP User-Agent
# Set the user agent for HTTP POSTs (can be useful for log differentiation)
# user_agent = "telegraf"
## UDP payload size is the maximum packet size to send.
# udp_payload = "512B"
## Optional TLS Config for use on HTTP connections.
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Use TLS but skip chain & host verification
# insecure_skip_verify = false
## HTTP Proxy override, if unset values the standard proxy environment
## variables are consulted to determine which proxy, if any, should be used.
# http_proxy = "http://corporate.proxy:3128"
## Additional HTTP headers
# http_headers = {"X-Special-Header" = "Special-Value"}
## HTTP Content-Encoding for write request body, can be set to "gzip" to
## compress body or "identity" to apply no encoding.
# content_encoding = "identity"
## When true, Telegraf will output unsigned integers as unsigned values,
## i.e.: "42u". You will need a version of InfluxDB supporting unsigned
## integer values. Enabling this option will result in field type errors if
## existing data has been written.
# influx_uint_support = false
# # Configuration for sending metrics to InfluxDB
# [[outputs.influxdb_v2]]
# ## The URLs of the InfluxDB cluster nodes.
# ##
# ## Multiple URLs can be specified for a single cluster, only ONE of the
# ## urls will be written to each interval.
# ## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
# urls = ["http://127.0.0.1:9999"]
#
# ## Token for authentication.
# token = ""
#
# ## Organization is the name of the organization you wish to write to; must exist.
# organization = ""
#
# ## Destination bucket to write into.
# bucket = ""
#
# ## The value of this tag will be used to determine the bucket. If this
# ## tag is not set the 'bucket' option is used as the default.
# # bucket_tag = ""
#
# ## If true, the bucket tag will not be added to the metric.
# # exclude_bucket_tag = false
#
# ## Timeout for HTTP messages.
# # timeout = "5s"
#
# ## Additional HTTP headers
# # http_headers = {"X-Special-Header" = "Special-Value"}
#
# ## HTTP Proxy override, if unset values the standard proxy environment
# ## variables are consulted to determine which proxy, if any, should be used.
# # http_proxy = "http://corporate.proxy:3128"
#
# ## HTTP User-Agent
# # user_agent = "telegraf"
#
# ## Content-Encoding for write request body, can be set to "gzip" to
# ## compress body or "identity" to apply no encoding.
# # content_encoding = "gzip"
#
# ## Enable or disable uint support for writing uints influxdb 2.0.
# # influx_uint_support = false
#
# ## Optional TLS Config for use on HTTP connections.
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)
# udp_payload = 512
###############################################################################
# INPUT PLUGINS #
# INPUTS #
###############################################################################
# Windows Performance Counters plugin.
# These are the recommended method of monitoring system metrics on windows,
# as the regular system plugins (inputs.cpu, inputs.mem, etc.) rely on WMI,
@ -271,8 +120,8 @@
"% Disk Time",
"% Disk Read Time",
"% Disk Write Time",
"% Free Space",
"Current Disk Queue Length",
"% Free Space",
"Free Megabytes",
]
Measurement = "win_disk"
@ -338,6 +187,7 @@
"Standby Cache Reserve Bytes",
"Standby Cache Normal Priority Bytes",
"Standby Cache Core Bytes",
]
# Use 6 x - to remove the Instance bit from the query.
Instances = ["------"]
@ -355,31 +205,44 @@
Instances = ["_Total"]
Measurement = "win_swap"
[[inputs.win_perf_counters.object]]
ObjectName = "Network Interface"
Instances = ["*"]
Counters = [
"Bytes Sent/sec",
"Bytes Received/sec",
"Packets Sent/sec",
"Packets Received/sec",
"Packets Received Discarded",
"Packets Received Errors",
"Packets Outbound Discarded",
"Packets Outbound Errors",
]
# Windows system plugins using WMI (disabled by default, using
# win_perf_counters over WMI is recommended)
# # Read metrics about cpu usage
# [[inputs.cpu]]
# ## Whether to report per-cpu stats or not
# percpu = true
# ## Whether to report total system cpu stats or not
# totalcpu = true
# ## If true, collect raw CPU time metrics.
# collect_cpu_time = false
# ## If true, compute and report the sum of all non-idle CPU states.
# report_active = false
# ## Comment this line if you want the raw CPU time metrics
# fielddrop = ["time_*"]
# # Read metrics about disk usage by mount point
# [[inputs.disk]]
# ## By default stats will be gathered for all mount points.
# ## Set mount_points will restrict the stats to only the specified mount points.
# # mount_points = ["/"]
# ## By default, telegraf gather stats for all mountpoints.
# ## Setting mountpoints will restrict the stats to the specified mountpoints.
# ## mount_points=["/"]
#
# ## Ignore mount points by filesystem type.
# ignore_fs = ["tmpfs", "devtmpfs", "devfs", "overlay", "aufs", "squashfs"]
# ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually
# ## present on /run, /var/run, /dev/shm or /dev).
# # ignore_fs = ["tmpfs", "devtmpfs"]
# # Read metrics about disk IO by device
@ -387,26 +250,9 @@
# ## By default, telegraf will gather stats for all devices including
# ## disk partitions.
# ## Setting devices will restrict the stats to the specified devices.
# # devices = ["sda", "sdb", "vd*"]
# ## Uncomment the following line if you need disk serial numbers.
# # skip_serial_number = false
# #
# ## On systems which support it, device metadata can be added in the form of
# ## tags.
# ## Currently only Linux is supported via udev properties. You can view
# ## available properties for a device by running:
# ## 'udevadm info -q property -n /dev/sda'
# # device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"]
# #
# ## Using the same metadata source as device_tags, you can also customize the
# ## name of the device via templates.
# ## The 'name_templates' parameter is a list of templates to try and apply to
# ## the device. The template may contain variables in the form of '$PROPERTY' or
# ## '${PROPERTY}'. The first template which does not contain any variables not
# ## present for the device is used as the device name tag.
# ## The typical use case is for LVM volumes, to get the VG/LV name instead of
# ## the near-meaningless DM-0 name.
# # name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"]
# ## devices = ["sda", "sdb"]
# ## Uncomment the following line if you do not need disk serial numbers.
# ## skip_serial_number = true
# # Read metrics about memory usage
@ -417,3 +263,4 @@
# # Read metrics about swap memory usage
# [[inputs.swap]]
# # no configuration

View File

@ -77,40 +77,3 @@ func compileFilterNoGlob(filters []string) Filter {
}
return &out
}
type IncludeExcludeFilter struct {
include Filter
exclude Filter
}
func NewIncludeExcludeFilter(
include []string,
exclude []string,
) (Filter, error) {
in, err := Compile(include)
if err != nil {
return nil, err
}
ex, err := Compile(exclude)
if err != nil {
return nil, err
}
return &IncludeExcludeFilter{in, ex}, nil
}
func (f *IncludeExcludeFilter) Match(s string) bool {
if f.include != nil {
if !f.include.Match(s) {
return false
}
}
if f.exclude != nil {
if f.exclude.Match(s) {
return false
}
}
return true
}

View File

@ -37,24 +37,6 @@ func TestCompile(t *testing.T) {
assert.True(t, f.Match("network"))
}
func TestIncludeExclude(t *testing.T) {
tags := []string{}
labels := []string{"best", "com_influxdata", "timeseries", "com_influxdata_telegraf", "ever"}
filter, err := NewIncludeExcludeFilter([]string{}, []string{"com_influx*"})
if err != nil {
t.Fatalf("Failed to create include/exclude filter - %v", err)
}
for i := range labels {
if filter.Match(labels[i]) {
tags = append(tags, labels[i])
}
}
assert.Equal(t, []string{"best", "timeseries", "ever"}, tags)
}
var benchbool bool
func BenchmarkFilterSingleNoGlobFalse(b *testing.B) {

161
go.mod
View File

@ -1,161 +0,0 @@
module github.com/influxdata/telegraf
go 1.12
require (
cloud.google.com/go v0.53.0
cloud.google.com/go/datastore v1.1.0 // indirect
cloud.google.com/go/pubsub v1.2.0
code.cloudfoundry.org/clock v1.0.0 // indirect
collectd.org v0.3.0
github.com/Azure/azure-event-hubs-go/v3 v3.2.0
github.com/Azure/azure-storage-queue-go v0.0.0-20181215014128-6ed74e755687
github.com/Azure/go-autorest/autorest v0.9.3
github.com/Azure/go-autorest/autorest/azure/auth v0.4.2
github.com/BurntSushi/toml v0.3.1
github.com/ChimeraCoder/anaconda v2.0.0+incompatible
github.com/ChimeraCoder/tokenbucket v0.0.0-20131201223612-c5a927568de7 // indirect
github.com/Mellanox/rdmamap v0.0.0-20191106181932-7c3c4763a6ee
github.com/Microsoft/ApplicationInsights-Go v0.4.2
github.com/Microsoft/go-winio v0.4.9 // indirect
github.com/Shopify/sarama v1.24.1
github.com/StackExchange/wmi v0.0.0-20180116203802-5d049714c4a6
github.com/aerospike/aerospike-client-go v1.27.0
github.com/alecthomas/units v0.0.0-20190717042225-c3de453c63f4
github.com/amir/raidman v0.0.0-20170415203553-1ccc43bfb9c9
github.com/apache/thrift v0.12.0
github.com/aristanetworks/glog v0.0.0-20191112221043-67e8567f59f3 // indirect
github.com/aristanetworks/goarista v0.0.0-20190325233358-a123909ec740
github.com/armon/go-metrics v0.3.0 // indirect
github.com/aws/aws-sdk-go v1.30.9
github.com/azr/backoff v0.0.0-20160115115103-53511d3c7330 // indirect
github.com/benbjohnson/clock v1.0.2
github.com/bitly/go-hostpool v0.1.0 // indirect
github.com/bmizerany/assert v0.0.0-20160611221934-b7ed37b82869 // indirect
github.com/caio/go-tdigest v2.3.0+incompatible // indirect
github.com/cenkalti/backoff v2.0.0+incompatible // indirect
github.com/cisco-ie/nx-telemetry-proto v0.0.0-20190531143454-82441e232cf6
github.com/cockroachdb/apd v1.1.0 // indirect
github.com/couchbase/go-couchbase v0.0.0-20180501122049-16db1f1fe037
github.com/couchbase/gomemcached v0.0.0-20180502221210-0da75df14530 // indirect
github.com/couchbase/goutils v0.0.0-20180530154633-e865a1461c8a // indirect
github.com/denisenkom/go-mssqldb v0.0.0-20190707035753-2be1aa521ff4
github.com/dgrijalva/jwt-go v3.2.0+incompatible
github.com/docker/distribution v2.6.0-rc.1.0.20170726174610-edc3ab29cdff+incompatible // indirect
github.com/docker/docker v1.4.2-0.20180327123150-ed7b6428c133
github.com/docker/go-connections v0.3.0 // indirect
github.com/docker/go-units v0.3.3 // indirect
github.com/docker/libnetwork v0.8.0-dev.2.0.20181012153825-d7b61745d166
github.com/dustin/go-jsonpointer v0.0.0-20160814072949-ba0abeacc3dc // indirect
github.com/dustin/gojson v0.0.0-20160307161227-2e71ec9dd5ad // indirect
github.com/eclipse/paho.mqtt.golang v1.2.0
github.com/ericchiang/k8s v1.2.0
github.com/garyburd/go-oauth v0.0.0-20180319155456-bca2e7f09a17 // indirect
github.com/ghodss/yaml v1.0.1-0.20190212211648-25d852aebe32
github.com/glinton/ping v0.1.4-0.20200311211934-5ac87da8cd96
github.com/go-logfmt/logfmt v0.4.0
github.com/go-ole/go-ole v1.2.1 // indirect
github.com/go-redis/redis v6.12.0+incompatible
github.com/go-sql-driver/mysql v1.5.0
github.com/goburrow/modbus v0.1.0
github.com/goburrow/serial v0.1.0 // indirect
github.com/gobwas/glob v0.2.3
github.com/gofrs/uuid v2.1.0+incompatible
github.com/gogo/protobuf v1.2.2-0.20190723190241-65acae22fc9d
github.com/golang/geo v0.0.0-20190916061304-5b978397cfec
github.com/golang/protobuf v1.3.5
github.com/google/go-cmp v0.4.0
github.com/google/go-github v17.0.0+incompatible
github.com/google/go-querystring v1.0.0 // indirect
github.com/gorilla/mux v1.6.2
github.com/gotestyourself/gotestyourself v2.2.0+incompatible // indirect
github.com/hailocab/go-hostpool v0.0.0-20160125115350-e80d13ce29ed // indirect
github.com/harlow/kinesis-consumer v0.3.1-0.20181230152818-2f58b136fee0
github.com/hashicorp/consul v1.2.1
github.com/hashicorp/go-msgpack v0.5.5 // indirect
github.com/hashicorp/go-rootcerts v0.0.0-20160503143440-6bb64b370b90 // indirect
github.com/hashicorp/memberlist v0.1.5 // indirect
github.com/hashicorp/serf v0.8.1 // indirect
github.com/influxdata/go-syslog/v2 v2.0.1
github.com/influxdata/tail v1.0.1-0.20180327235535-c43482518d41
github.com/influxdata/toml v0.0.0-20190415235208-270119a8ce65
github.com/influxdata/wlog v0.0.0-20160411224016-7c63b0a71ef8
github.com/jackc/fake v0.0.0-20150926172116-812a484cc733 // indirect
github.com/jackc/pgx v3.6.0+incompatible
github.com/jcmturner/gofork v1.0.0 // indirect
github.com/kardianos/service v1.0.0
github.com/karrick/godirwalk v1.12.0
github.com/kballard/go-shellquote v0.0.0-20180428030007-95032a82bc51
github.com/klauspost/compress v1.9.2 // indirect
github.com/kubernetes/apimachinery v0.0.0-20190119020841-d41becfba9ee
github.com/kylelemons/godebug v1.1.0 // indirect
github.com/leesper/go_rng v0.0.0-20190531154944-a612b043e353 // indirect
github.com/lib/pq v1.3.0 // indirect
github.com/mailru/easyjson v0.0.0-20180717111219-efc7eb8984d6 // indirect
github.com/matttproud/golang_protobuf_extensions v1.0.1
github.com/mdlayher/apcupsd v0.0.0-20190314144147-eb3dd99a75fe
github.com/miekg/dns v1.0.14
github.com/mitchellh/go-testing-interface v1.0.0 // indirect
github.com/mmcdole/gofeed v1.0.0
github.com/multiplay/go-ts3 v1.0.0
github.com/naoina/go-stringutil v0.1.0 // indirect
github.com/nats-io/nats-server/v2 v2.1.4
github.com/nats-io/nats.go v1.9.1
github.com/newrelic/newrelic-telemetry-sdk-go v0.2.0
github.com/nsqio/go-nsq v1.0.7
github.com/openconfig/gnmi v0.0.0-20180912164834-33a1865c3029
github.com/opencontainers/go-digest v1.0.0-rc1 // indirect
github.com/opencontainers/image-spec v1.0.1 // indirect
github.com/opentracing-contrib/go-observer v0.0.0-20170622124052-a52f23424492 // indirect
github.com/opentracing/opentracing-go v1.0.2 // indirect
github.com/openzipkin/zipkin-go-opentracing v0.3.4
github.com/pkg/errors v0.9.1
github.com/prometheus/client_golang v1.5.1
github.com/prometheus/client_model v0.2.0
github.com/prometheus/common v0.9.1
github.com/safchain/ethtool v0.0.0-20200218184317-f459e2d13664
github.com/samuel/go-zookeeper v0.0.0-20180130194729-c4fab1ac1bec // indirect
github.com/satori/go.uuid v1.2.1-0.20181028125025-b2ce2384e17b // indirect
github.com/shirou/gopsutil v2.20.2+incompatible
github.com/shopspring/decimal v0.0.0-20200105231215-408a2507e114 // indirect
github.com/sirupsen/logrus v1.4.2
github.com/soniah/gosnmp v1.25.0
github.com/streadway/amqp v0.0.0-20180528204448-e5adc2ada8b8
github.com/stretchr/testify v1.5.1
github.com/tbrandon/mbserver v0.0.0-20170611213546-993e1772cc62
github.com/tedsuo/ifrit v0.0.0-20191009134036-9a97d0632f00 // indirect
github.com/tidwall/gjson v1.3.0
github.com/vishvananda/netlink v0.0.0-20171020171820-b2de5d10e38e // indirect
github.com/vishvananda/netns v0.0.0-20180720170159-13995c7128cc // indirect
github.com/vjeantet/grok v1.0.0
github.com/vmware/govmomi v0.19.0
github.com/wavefronthq/wavefront-sdk-go v0.9.2
github.com/wvanbergen/kafka v0.0.0-20171203153745-e2edea948ddf
github.com/wvanbergen/kazoo-go v0.0.0-20180202103751-f72d8611297a // indirect
github.com/yuin/gopher-lua v0.0.0-20180630135845-46796da1b0b4 // indirect
golang.org/x/exp v0.0.0-20200224162631-6cc2880d07d6 // indirect
golang.org/x/lint v0.0.0-20200302205851-738671d3881b // indirect
golang.org/x/net v0.0.0-20200301022130-244492dfa37a
golang.org/x/oauth2 v0.0.0-20200107190931-bf48bf16ab8d
golang.org/x/sync v0.0.0-20200317015054-43a5402ce75a // indirect
golang.org/x/sys v0.0.0-20200212091648-12a6c2dcc1e4
golang.org/x/tools v0.0.0-20200317043434-63da46f3035e // indirect
golang.zx2c4.com/wireguard/wgctrl v0.0.0-20200205215550-e35592f146e4
gonum.org/v1/gonum v0.6.2 // indirect
google.golang.org/api v0.20.0
google.golang.org/genproto v0.0.0-20200317114155-1f3552e48f24
google.golang.org/grpc v1.28.0
gopkg.in/fatih/pool.v2 v2.0.0 // indirect
gopkg.in/gorethink/gorethink.v3 v3.0.5
gopkg.in/jcmturner/gokrb5.v7 v7.3.0 // indirect
gopkg.in/ldap.v3 v3.1.0
gopkg.in/mgo.v2 v2.0.0-20180705113604-9856a29383ce
gopkg.in/olivere/elastic.v5 v5.0.70
gopkg.in/yaml.v2 v2.2.5
gotest.tools v2.2.0+incompatible // indirect
honnef.co/go/tools v0.0.1-2020.1.3 // indirect
k8s.io/apimachinery v0.17.1 // indirect
)
// replaced due to https://github.com/satori/go.uuid/issues/73
replace github.com/satori/go.uuid => github.com/gofrs/uuid v3.2.0+incompatible

915
go.sum
View File

@ -1,915 +0,0 @@
cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
cloud.google.com/go v0.37.4 h1:glPeL3BQJsbF6aIIYfZizMwc5LTYz250bDMjttbBGAU=
cloud.google.com/go v0.37.4/go.mod h1:NHPJ89PdicEuT9hdPXMROBD91xc5uRDxsMtSB16k7hw=
cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU=
cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwredwwASm/v6AU=
cloud.google.com/go v0.44.2/go.mod h1:60680Gw3Yr4ikxnPRS/oxxkBccT6SA1yMk63TGekxKY=
cloud.google.com/go v0.45.1/go.mod h1:RpBamKRgapWJb87xiFSdk4g1CME7QZg3uwTez+TSTjc=
cloud.google.com/go v0.46.3/go.mod h1:a6bKKbmY7er1mI7TEI4lsAkts/mkhTSZK8w33B4RAg0=
cloud.google.com/go v0.50.0/go.mod h1:r9sluTvynVuxRIOHXQEHMFffphuXHOMZMycpNR5e6To=
cloud.google.com/go v0.52.0/go.mod h1:pXajvRH/6o3+F9jDHZWQ5PbGhn+o8w9qiu/CffaVdO4=
cloud.google.com/go v0.53.0 h1:MZQCQQaRwOrAcuKjiHWHrgKykt4fZyuwF2dtiG3fGW8=
cloud.google.com/go v0.53.0/go.mod h1:fp/UouUEsRkN6ryDKNW/Upv/JBKnv6WDthjR6+vze6M=
cloud.google.com/go/bigquery v1.0.1/go.mod h1:i/xbL2UlR5RvWAURpBYZTtm/cXjCha9lbfbpx4poX+o=
cloud.google.com/go/bigquery v1.3.0/go.mod h1:PjpwJnslEMmckchkHFfq+HTD2DmtT67aNFKH1/VBDHE=
cloud.google.com/go/bigquery v1.4.0 h1:xE3CPsOgttP4ACBePh79zTKALtXwn/Edhcr16R5hMWU=
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github.com/go-sql-driver/mysql v1.5.0 h1:ozyZYNQW3x3HtqT1jira07DN2PArx2v7/mN66gGcHOs=
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gopkg.in/yaml.v2 v2.2.5/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
gotest.tools v2.2.0+incompatible h1:VsBPFP1AI068pPrMxtb/S8Zkgf9xEmTLJjfM+P5UIEo=
gotest.tools v2.2.0+incompatible/go.mod h1:DsYFclhRJ6vuDpmuTbkuFWG+y2sxOXAzmJt81HFBacw=
honnef.co/go/tools v0.0.0-20180728063816-88497007e858/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
honnef.co/go/tools v0.0.0-20190102054323-c2f93a96b099/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
honnef.co/go/tools v0.0.0-20190106161140-3f1c8253044a/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
honnef.co/go/tools v0.0.0-20190418001031-e561f6794a2a/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
honnef.co/go/tools v0.0.0-20190523083050-ea95bdfd59fc/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
honnef.co/go/tools v0.0.1-2019.2.3/go.mod h1:a3bituU0lyd329TUQxRnasdCoJDkEUEAqEt0JzvZhAg=
honnef.co/go/tools v0.0.1-2020.1.3 h1:sXmLre5bzIR6ypkjXCDI3jHPssRhc8KD/Ome589sc3U=
honnef.co/go/tools v0.0.1-2020.1.3/go.mod h1:X/FiERA/W4tHapMX5mGpAtMSVEeEUOyHaw9vFzvIQ3k=
k8s.io/apimachinery v0.17.1 h1:zUjS3szTxoUjTDYNvdFkYt2uMEXLcthcbp+7uZvWhYM=
k8s.io/apimachinery v0.17.1/go.mod h1:b9qmWdKlLuU9EBh+06BtLcSf/Mu89rWL33naRxs1uZg=
k8s.io/gengo v0.0.0-20190128074634-0689ccc1d7d6/go.mod h1:ezvh/TsK7cY6rbqRK0oQQ8IAqLxYwwyPxAX1Pzy0ii0=
k8s.io/klog v0.0.0-20181102134211-b9b56d5dfc92/go.mod h1:Gq+BEi5rUBO/HRz0bTSXDUcqjScdoY3a9IHpCEIOOfk=
k8s.io/klog v1.0.0 h1:Pt+yjF5aB1xDSVbau4VsWe+dQNzA0qv1LlXdC2dF6Q8=
k8s.io/klog v1.0.0/go.mod h1:4Bi6QPql/J/LkTDqv7R/cd3hPo4k2DG6Ptcz060Ez5I=
k8s.io/kube-openapi v0.0.0-20191107075043-30be4d16710a/go.mod h1:1TqjTSzOxsLGIKfj0lK8EeCP7K1iUG65v09OM0/WG5E=
rsc.io/binaryregexp v0.2.0/go.mod h1:qTv7/COck+e2FymRvadv62gMdZztPaShugOCi3I+8D8=
rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4=
rsc.io/quote/v3 v3.1.0/go.mod h1:yEA65RcK8LyAZtP9Kv3t0HmxON59tX3rD+tICJqUlj0=
rsc.io/sampler v1.3.0/go.mod h1:T1hPZKmBbMNahiBKFy5HrXp6adAjACjK9JXDnKaTXpA=
sigs.k8s.io/structured-merge-diff v0.0.0-20190525122527-15d366b2352e/go.mod h1:wWxsB5ozmmv/SG7nM11ayaAW51xMvak/t1r0CSlcokI=
sigs.k8s.io/yaml v1.1.0/go.mod h1:UJmg0vDUVViEyp3mgSv9WPwZCDxu4rQW1olrI1uml+o=

View File

@ -1,7 +1,11 @@
package telegraf
type Input interface {
PluginDescriber
// SampleConfig returns the default configuration of the Input
SampleConfig() string
// Description returns a one-sentence description on the Input
Description() string
// Gather takes in an accumulator and adds the metrics that the Input
// gathers. This is called every "interval"
@ -9,10 +13,17 @@ type Input interface {
}
type ServiceInput interface {
Input
// SampleConfig returns the default configuration of the Input
SampleConfig() string
// Start the ServiceInput. The Accumulator may be retained and used until
// Stop returns.
// Description returns a one-sentence description on the Input
Description() string
// Gather takes in an accumulator and adds the metrics that the Input
// gathers. This is called every "interval"
Gather(Accumulator) error
// Start starts the ServiceInput's service, whatever that may be
Start(Accumulator) error
// Stop stops the services and closes any necessary channels and connections

76
internal/buffer/buffer.go Normal file
View File

@ -0,0 +1,76 @@
package buffer
import (
"sync"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/selfstat"
)
var (
MetricsWritten = selfstat.Register("agent", "metrics_written", map[string]string{})
MetricsDropped = selfstat.Register("agent", "metrics_dropped", map[string]string{})
)
// Buffer is an object for storing metrics in a circular buffer.
type Buffer struct {
buf chan telegraf.Metric
mu sync.Mutex
}
// NewBuffer returns a Buffer
// size is the maximum number of metrics that Buffer will cache. If Add is
// called when the buffer is full, then the oldest metric(s) will be dropped.
func NewBuffer(size int) *Buffer {
return &Buffer{
buf: make(chan telegraf.Metric, size),
}
}
// IsEmpty returns true if Buffer is empty.
func (b *Buffer) IsEmpty() bool {
return len(b.buf) == 0
}
// Len returns the current length of the buffer.
func (b *Buffer) Len() int {
return len(b.buf)
}
// Add adds metrics to the buffer.
func (b *Buffer) Add(metrics ...telegraf.Metric) {
for i, _ := range metrics {
MetricsWritten.Incr(1)
select {
case b.buf <- metrics[i]:
default:
b.mu.Lock()
MetricsDropped.Incr(1)
<-b.buf
b.buf <- metrics[i]
b.mu.Unlock()
}
}
}
// Batch returns a batch of metrics of size batchSize.
// the batch will be of maximum length batchSize. It can be less than batchSize,
// if the length of Buffer is less than batchSize.
func (b *Buffer) Batch(batchSize int) []telegraf.Metric {
b.mu.Lock()
n := min(len(b.buf), batchSize)
out := make([]telegraf.Metric, n)
for i := 0; i < n; i++ {
out[i] = <-b.buf
}
b.mu.Unlock()
return out
}
func min(a, b int) int {
if b < a {
return b
}
return a
}

View File

@ -0,0 +1,100 @@
package buffer
import (
"testing"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/assert"
)
var metricList = []telegraf.Metric{
testutil.TestMetric(2, "mymetric1"),
testutil.TestMetric(1, "mymetric2"),
testutil.TestMetric(11, "mymetric3"),
testutil.TestMetric(15, "mymetric4"),
testutil.TestMetric(8, "mymetric5"),
}
func BenchmarkAddMetrics(b *testing.B) {
buf := NewBuffer(10000)
m := testutil.TestMetric(1, "mymetric")
for n := 0; n < b.N; n++ {
buf.Add(m)
}
}
func TestNewBufferBasicFuncs(t *testing.T) {
b := NewBuffer(10)
MetricsDropped.Set(0)
MetricsWritten.Set(0)
assert.True(t, b.IsEmpty())
assert.Zero(t, b.Len())
assert.Zero(t, MetricsDropped.Get())
assert.Zero(t, MetricsWritten.Get())
m := testutil.TestMetric(1, "mymetric")
b.Add(m)
assert.False(t, b.IsEmpty())
assert.Equal(t, b.Len(), 1)
assert.Equal(t, int64(0), MetricsDropped.Get())
assert.Equal(t, int64(1), MetricsWritten.Get())
b.Add(metricList...)
assert.False(t, b.IsEmpty())
assert.Equal(t, b.Len(), 6)
assert.Equal(t, int64(0), MetricsDropped.Get())
assert.Equal(t, int64(6), MetricsWritten.Get())
}
func TestDroppingMetrics(t *testing.T) {
b := NewBuffer(10)
MetricsDropped.Set(0)
MetricsWritten.Set(0)
// Add up to the size of the buffer
b.Add(metricList...)
b.Add(metricList...)
assert.False(t, b.IsEmpty())
assert.Equal(t, b.Len(), 10)
assert.Equal(t, int64(0), MetricsDropped.Get())
assert.Equal(t, int64(10), MetricsWritten.Get())
// Add 5 more and verify they were dropped
b.Add(metricList...)
assert.False(t, b.IsEmpty())
assert.Equal(t, b.Len(), 10)
assert.Equal(t, int64(5), MetricsDropped.Get())
assert.Equal(t, int64(15), MetricsWritten.Get())
}
func TestGettingBatches(t *testing.T) {
b := NewBuffer(20)
MetricsDropped.Set(0)
MetricsWritten.Set(0)
// Verify that the buffer returned is smaller than requested when there are
// not as many items as requested.
b.Add(metricList...)
batch := b.Batch(10)
assert.Len(t, batch, 5)
// Verify that the buffer is now empty
assert.True(t, b.IsEmpty())
assert.Zero(t, b.Len())
assert.Zero(t, MetricsDropped.Get())
assert.Equal(t, int64(5), MetricsWritten.Get())
// Verify that the buffer returned is not more than the size requested
b.Add(metricList...)
batch = b.Batch(3)
assert.Len(t, batch, 3)
// Verify that buffer is not empty
assert.False(t, b.IsEmpty())
assert.Equal(t, b.Len(), 2)
assert.Equal(t, int64(0), MetricsDropped.Get())
assert.Equal(t, int64(10), MetricsWritten.Get())
}

View File

@ -1,36 +0,0 @@
// Package choice provides basic functions for working with
// plugin options that must be one of several values.
package choice
import "fmt"
// Contains return true if the choice in the list of choices.
func Contains(choice string, choices []string) bool {
for _, item := range choices {
if item == choice {
return true
}
}
return false
}
// CheckSContains returns an error if a choice is not one of
// the available choices.
func Check(choice string, available []string) error {
if !Contains(choice, available) {
return fmt.Errorf("unknown choice %s", choice)
}
return nil
}
// CheckSliceContains returns an error if the choices is not a subset of
// available.
func CheckSlice(choices, available []string) error {
for _, choice := range choices {
err := Check(choice, available)
if err != nil {
return err
}
}
return nil
}

View File

@ -9,14 +9,13 @@ import (
)
type CredentialConfig struct {
Region string
AccessKey string
SecretKey string
RoleARN string
Profile string
Filename string
Token string
EndpointURL string
Region string
AccessKey string
SecretKey string
RoleARN string
Profile string
Filename string
Token string
}
func (c *CredentialConfig) Credentials() client.ConfigProvider {
@ -29,8 +28,7 @@ func (c *CredentialConfig) Credentials() client.ConfigProvider {
func (c *CredentialConfig) rootCredentials() client.ConfigProvider {
config := &aws.Config{
Region: aws.String(c.Region),
Endpoint: &c.EndpointURL,
Region: aws.String(c.Region),
}
if c.AccessKey != "" || c.SecretKey != "" {
config.Credentials = credentials.NewStaticCredentials(c.AccessKey, c.SecretKey, c.Token)
@ -44,8 +42,7 @@ func (c *CredentialConfig) rootCredentials() client.ConfigProvider {
func (c *CredentialConfig) assumeCredentials() client.ConfigProvider {
rootCredentials := c.rootCredentials()
config := &aws.Config{
Region: aws.String(c.Region),
Endpoint: &c.EndpointURL,
Region: aws.String(c.Region),
}
config.Credentials = stscreds.NewCredentials(rootCredentials, c.RoleARN)
return session.New(config)

File diff suppressed because it is too large Load Diff

View File

@ -5,17 +5,14 @@ import (
"testing"
"time"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/models"
"github.com/influxdata/telegraf/internal/models"
"github.com/influxdata/telegraf/plugins/inputs"
"github.com/influxdata/telegraf/plugins/inputs/exec"
"github.com/influxdata/telegraf/plugins/inputs/http_listener_v2"
"github.com/influxdata/telegraf/plugins/inputs/memcached"
"github.com/influxdata/telegraf/plugins/inputs/procstat"
httpOut "github.com/influxdata/telegraf/plugins/outputs/http"
"github.com/influxdata/telegraf/plugins/parsers"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestConfig_LoadSingleInputWithEnvVars(t *testing.T) {
@ -31,17 +28,17 @@ func TestConfig_LoadSingleInputWithEnvVars(t *testing.T) {
filter := models.Filter{
NameDrop: []string{"metricname2"},
NamePass: []string{"metricname1", "ip_192.168.1.1_name"},
NamePass: []string{"metricname1"},
FieldDrop: []string{"other", "stuff"},
FieldPass: []string{"some", "strings"},
TagDrop: []models.TagFilter{
{
models.TagFilter{
Name: "badtag",
Filter: []string{"othertag"},
},
},
TagPass: []models.TagFilter{
{
models.TagFilter{
Name: "goodtag",
Filter: []string{"mytag"},
},
@ -74,13 +71,13 @@ func TestConfig_LoadSingleInput(t *testing.T) {
FieldDrop: []string{"other", "stuff"},
FieldPass: []string{"some", "strings"},
TagDrop: []models.TagFilter{
{
models.TagFilter{
Name: "badtag",
Filter: []string{"othertag"},
},
},
TagPass: []models.TagFilter{
{
models.TagFilter{
Name: "goodtag",
Filter: []string{"mytag"},
},
@ -120,13 +117,13 @@ func TestConfig_LoadDirectory(t *testing.T) {
FieldDrop: []string{"other", "stuff"},
FieldPass: []string{"some", "strings"},
TagDrop: []models.TagFilter{
{
models.TagFilter{
Name: "badtag",
Filter: []string{"othertag"},
},
},
TagPass: []models.TagFilter{
{
models.TagFilter{
Name: "goodtag",
Filter: []string{"mytag"},
},
@ -146,11 +143,7 @@ func TestConfig_LoadDirectory(t *testing.T) {
"Testdata did not produce correct memcached metadata.")
ex := inputs.Inputs["exec"]().(*exec.Exec)
p, err := parsers.NewParser(&parsers.Config{
MetricName: "exec",
DataFormat: "json",
JSONStrict: true,
})
p, err := parsers.NewJSONParser("exec", nil, nil)
assert.NoError(t, err)
ex.SetParser(p)
ex.Command = "/usr/bin/myothercollector --foo=bar"
@ -159,11 +152,6 @@ func TestConfig_LoadDirectory(t *testing.T) {
MeasurementSuffix: "_myothercollector",
}
eConfig.Tags = make(map[string]string)
exec := c.Inputs[1].Input.(*exec.Exec)
require.NotNil(t, exec.Log)
exec.Log = nil
assert.Equal(t, ex, c.Inputs[1].Input,
"Merged Testdata did not produce a correct exec struct.")
assert.Equal(t, eConfig, c.Inputs[1].Config,
@ -186,74 +174,3 @@ func TestConfig_LoadDirectory(t *testing.T) {
assert.Equal(t, pConfig, c.Inputs[3].Config,
"Merged Testdata did not produce correct procstat metadata.")
}
func TestConfig_LoadSpecialTypes(t *testing.T) {
c := NewConfig()
err := c.LoadConfig("./testdata/special_types.toml")
assert.NoError(t, err)
require.Equal(t, 1, len(c.Inputs))
inputHTTPListener, ok := c.Inputs[0].Input.(*http_listener_v2.HTTPListenerV2)
assert.Equal(t, true, ok)
// Tests telegraf duration parsing.
assert.Equal(t, internal.Duration{Duration: time.Second}, inputHTTPListener.WriteTimeout)
// Tests telegraf size parsing.
assert.Equal(t, internal.Size{Size: 1024 * 1024}, inputHTTPListener.MaxBodySize)
// Tests toml multiline basic strings.
assert.Equal(t, "/path/to/my/cert\n", inputHTTPListener.TLSCert)
}
func TestConfig_FieldNotDefined(t *testing.T) {
c := NewConfig()
err := c.LoadConfig("./testdata/invalid_field.toml")
require.Error(t, err, "invalid field name")
assert.Equal(t, "Error loading config file ./testdata/invalid_field.toml: Error parsing http_listener_v2, line 2: field corresponding to `not_a_field' is not defined in http_listener_v2.HTTPListenerV2", err.Error())
}
func TestConfig_WrongFieldType(t *testing.T) {
c := NewConfig()
err := c.LoadConfig("./testdata/wrong_field_type.toml")
require.Error(t, err, "invalid field type")
assert.Equal(t, "Error loading config file ./testdata/wrong_field_type.toml: Error parsing http_listener_v2, line 2: (http_listener_v2.HTTPListenerV2.Port) cannot unmarshal TOML string into int", err.Error())
c = NewConfig()
err = c.LoadConfig("./testdata/wrong_field_type2.toml")
require.Error(t, err, "invalid field type2")
assert.Equal(t, "Error loading config file ./testdata/wrong_field_type2.toml: Error parsing http_listener_v2, line 2: (http_listener_v2.HTTPListenerV2.Methods) cannot unmarshal TOML string into []string", err.Error())
}
func TestConfig_InlineTables(t *testing.T) {
// #4098
c := NewConfig()
err := c.LoadConfig("./testdata/inline_table.toml")
assert.NoError(t, err)
require.Equal(t, 2, len(c.Outputs))
outputHTTP, ok := c.Outputs[1].Output.(*httpOut.HTTP)
assert.Equal(t, true, ok)
assert.Equal(t, map[string]string{"Authorization": "Token $TOKEN", "Content-Type": "application/json"}, outputHTTP.Headers)
assert.Equal(t, []string{"org_id"}, c.Outputs[0].Config.Filter.TagInclude)
}
func TestConfig_SliceComment(t *testing.T) {
t.Skipf("Skipping until #3642 is resolved")
c := NewConfig()
err := c.LoadConfig("./testdata/slice_comment.toml")
assert.NoError(t, err)
require.Equal(t, 1, len(c.Outputs))
outputHTTP, ok := c.Outputs[0].Output.(*httpOut.HTTP)
assert.Equal(t, []string{"test"}, outputHTTP.Scopes)
assert.Equal(t, true, ok)
}
func TestConfig_BadOrdering(t *testing.T) {
// #3444: when not using inline tables, care has to be taken so subsequent configuration
// doesn't become part of the table. This is not a bug, but TOML syntax.
c := NewConfig()
err := c.LoadConfig("./testdata/non_slice_slice.toml")
require.Error(t, err, "bad ordering")
assert.Equal(t, "Error loading config file ./testdata/non_slice_slice.toml: Error parsing http array, line 4: cannot unmarshal TOML array into string (need slice)", err.Error())
}

View File

@ -1,6 +1,6 @@
[[inputs.memcached]]
servers = ["$MY_TEST_SERVER"]
namepass = ["metricname1", "ip_${MY_TEST_SERVER}_name"]
namepass = ["metricname1"]
namedrop = ["metricname2"]
fieldpass = ["some", "strings"]
fielddrop = ["other", "stuff"]

View File

@ -143,31 +143,19 @@
[[inputs.diskio]]
# no configuration
# read metrics from a Kafka 0.9+ topic
# read metrics from a Kafka topic
[[inputs.kafka_consumer]]
## kafka brokers
brokers = ["localhost:9092"]
## topic(s) to consume
topics = ["telegraf"]
## the name of the consumer group
consumer_group = "telegraf_metrics_consumers"
## Offset (must be either "oldest" or "newest")
offset = "oldest"
# read metrics from a Kafka legacy topic
[[inputs.kafka_consumer_legacy]]
## topic(s) to consume
# topic(s) to consume
topics = ["telegraf"]
# an array of Zookeeper connection strings
zookeeper_peers = ["localhost:2181"]
## the name of the consumer group
# the name of the consumer group
consumer_group = "telegraf_metrics_consumers"
# Maximum number of points to buffer between collection intervals
point_buffer = 100000
## Offset (must be either "oldest" or "newest")
# Offset (must be either "oldest" or "newest")
offset = "oldest"
# Read metrics from a LeoFS Server via SNMP
[[inputs.leofs]]
# An array of URI to gather stats about LeoFS.
@ -256,7 +244,7 @@
# specify address via a url matching:
# postgres://[pqgotest[:password]]@localhost[/dbname]?sslmode=[disable|verify-ca|verify-full]
# or a simple string:
# host=localhost user=pqgotest password=... sslmode=... dbname=app_production
# host=localhost user=pqotest password=... sslmode=... dbname=app_production
#
# All connection parameters are optional. By default, the host is localhost
# and the user is the currently running user. For localhost, we default

View File

@ -1,182 +0,0 @@
package internal
import (
"bufio"
"bytes"
"compress/gzip"
"errors"
"io"
)
// NewStreamContentDecoder returns a reader that will decode the stream
// according to the encoding type.
func NewStreamContentDecoder(encoding string, r io.Reader) (io.Reader, error) {
switch encoding {
case "gzip":
return NewGzipReader(r)
case "identity", "":
return r, nil
default:
return nil, errors.New("invalid value for content_encoding")
}
}
// GzipReader is similar to gzip.Reader but reads only a single gzip stream per read.
type GzipReader struct {
r io.Reader
z *gzip.Reader
endOfStream bool
}
func NewGzipReader(r io.Reader) (io.Reader, error) {
// We need a read that implements ByteReader in order to line up the next
// stream.
br := bufio.NewReader(r)
// Reads the first gzip stream header.
z, err := gzip.NewReader(br)
if err != nil {
return nil, err
}
// Prevent future calls to Read from reading the following gzip header.
z.Multistream(false)
return &GzipReader{r: br, z: z}, nil
}
func (r *GzipReader) Read(b []byte) (int, error) {
if r.endOfStream {
// Reads the next gzip header and prepares for the next stream.
err := r.z.Reset(r.r)
if err != nil {
return 0, err
}
r.z.Multistream(false)
r.endOfStream = false
}
n, err := r.z.Read(b)
// Since multistream is disabled, io.EOF indicates the end of the gzip
// sequence. On the next read we must read the next gzip header.
if err == io.EOF {
r.endOfStream = true
return n, nil
}
return n, err
}
// NewContentEncoder returns a ContentEncoder for the encoding type.
func NewContentEncoder(encoding string) (ContentEncoder, error) {
switch encoding {
case "gzip":
return NewGzipEncoder()
case "identity", "":
return NewIdentityEncoder(), nil
default:
return nil, errors.New("invalid value for content_encoding")
}
}
// NewContentDecoder returns a ContentDecoder for the encoding type.
func NewContentDecoder(encoding string) (ContentDecoder, error) {
switch encoding {
case "gzip":
return NewGzipDecoder()
case "identity", "":
return NewIdentityDecoder(), nil
default:
return nil, errors.New("invalid value for content_encoding")
}
}
// ContentEncoder applies a wrapper encoding to byte buffers.
type ContentEncoder interface {
Encode([]byte) ([]byte, error)
}
// GzipEncoder compresses the buffer using gzip at the default level.
type GzipEncoder struct {
writer *gzip.Writer
buf *bytes.Buffer
}
func NewGzipEncoder() (*GzipEncoder, error) {
var buf bytes.Buffer
return &GzipEncoder{
writer: gzip.NewWriter(&buf),
buf: &buf,
}, nil
}
func (e *GzipEncoder) Encode(data []byte) ([]byte, error) {
e.buf.Reset()
e.writer.Reset(e.buf)
_, err := e.writer.Write(data)
if err != nil {
return nil, err
}
err = e.writer.Close()
if err != nil {
return nil, err
}
return e.buf.Bytes(), nil
}
// IdentityEncoder is a null encoder that applies no transformation.
type IdentityEncoder struct{}
func NewIdentityEncoder() *IdentityEncoder {
return &IdentityEncoder{}
}
func (*IdentityEncoder) Encode(data []byte) ([]byte, error) {
return data, nil
}
// ContentDecoder removes a wrapper encoding from byte buffers.
type ContentDecoder interface {
Decode([]byte) ([]byte, error)
}
// GzipDecoder decompresses buffers with gzip compression.
type GzipDecoder struct {
reader *gzip.Reader
buf *bytes.Buffer
}
func NewGzipDecoder() (*GzipDecoder, error) {
return &GzipDecoder{
reader: new(gzip.Reader),
buf: new(bytes.Buffer),
}, nil
}
func (d *GzipDecoder) Decode(data []byte) ([]byte, error) {
d.reader.Reset(bytes.NewBuffer(data))
d.buf.Reset()
_, err := d.buf.ReadFrom(d.reader)
if err != nil && err != io.EOF {
return nil, err
}
err = d.reader.Close()
if err != nil {
return nil, err
}
return d.buf.Bytes(), nil
}
// IdentityDecoder is a null decoder that returns the input.
type IdentityDecoder struct{}
func NewIdentityDecoder() *IdentityDecoder {
return &IdentityDecoder{}
}
func (*IdentityDecoder) Decode(data []byte) ([]byte, error) {
return data, nil
}

View File

@ -1,94 +0,0 @@
package internal
import (
"bytes"
"io/ioutil"
"testing"
"github.com/stretchr/testify/require"
)
func TestGzipEncodeDecode(t *testing.T) {
enc, err := NewGzipEncoder()
require.NoError(t, err)
dec, err := NewGzipDecoder()
require.NoError(t, err)
payload, err := enc.Encode([]byte("howdy"))
require.NoError(t, err)
actual, err := dec.Decode(payload)
require.NoError(t, err)
require.Equal(t, "howdy", string(actual))
}
func TestGzipReuse(t *testing.T) {
enc, err := NewGzipEncoder()
require.NoError(t, err)
dec, err := NewGzipDecoder()
require.NoError(t, err)
payload, err := enc.Encode([]byte("howdy"))
require.NoError(t, err)
actual, err := dec.Decode(payload)
require.NoError(t, err)
require.Equal(t, "howdy", string(actual))
payload, err = enc.Encode([]byte("doody"))
require.NoError(t, err)
actual, err = dec.Decode(payload)
require.NoError(t, err)
require.Equal(t, "doody", string(actual))
}
func TestIdentityEncodeDecode(t *testing.T) {
enc := NewIdentityEncoder()
dec := NewIdentityDecoder()
payload, err := enc.Encode([]byte("howdy"))
require.NoError(t, err)
actual, err := dec.Decode(payload)
require.NoError(t, err)
require.Equal(t, "howdy", string(actual))
}
func TestStreamIdentityDecode(t *testing.T) {
var r bytes.Buffer
n, err := r.Write([]byte("howdy"))
require.NoError(t, err)
require.Equal(t, 5, n)
dec, err := NewStreamContentDecoder("identity", &r)
require.NoError(t, err)
data, err := ioutil.ReadAll(dec)
require.NoError(t, err)
require.Equal(t, []byte("howdy"), data)
}
func TestStreamGzipDecode(t *testing.T) {
enc, err := NewGzipEncoder()
require.NoError(t, err)
written, err := enc.Encode([]byte("howdy"))
require.NoError(t, err)
w := bytes.NewBuffer(written)
dec, err := NewStreamContentDecoder("gzip", w)
require.NoError(t, err)
b := make([]byte, 10)
n, err := dec.Read(b)
require.NoError(t, err)
require.Equal(t, 5, n)
require.Equal(t, []byte("howdy"), b[:n])
}

View File

@ -1,36 +0,0 @@
package docker
import "strings"
// Adapts some of the logic from the actual Docker library's image parsing
// routines:
// https://github.com/docker/distribution/blob/release/2.7/reference/normalize.go
func ParseImage(image string) (string, string) {
domain := ""
remainder := ""
i := strings.IndexRune(image, '/')
if i == -1 || (!strings.ContainsAny(image[:i], ".:") && image[:i] != "localhost") {
remainder = image
} else {
domain, remainder = image[:i], image[i+1:]
}
imageName := ""
imageVersion := "unknown"
i = strings.LastIndex(remainder, ":")
if i > -1 {
imageVersion = remainder[i+1:]
imageName = remainder[:i]
} else {
imageName = remainder
}
if domain != "" {
imageName = domain + "/" + imageName
}
return imageName, imageVersion
}

View File

@ -1,59 +0,0 @@
package docker_test
import (
"testing"
"github.com/influxdata/telegraf/internal/docker"
"github.com/stretchr/testify/require"
)
func TestParseImage(t *testing.T) {
tests := []struct {
image string
parsedName string
parsedVersion string
}{
{
image: "postgres",
parsedName: "postgres",
parsedVersion: "unknown",
},
{
image: "postgres:latest",
parsedName: "postgres",
parsedVersion: "latest",
},
{
image: "coreos/etcd",
parsedName: "coreos/etcd",
parsedVersion: "unknown",
},
{
image: "coreos/etcd:latest",
parsedName: "coreos/etcd",
parsedVersion: "latest",
},
{
image: "quay.io/postgres",
parsedName: "quay.io/postgres",
parsedVersion: "unknown",
},
{
image: "quay.io:4443/coreos/etcd",
parsedName: "quay.io:4443/coreos/etcd",
parsedVersion: "unknown",
},
{
image: "quay.io:4443/coreos/etcd:latest",
parsedName: "quay.io:4443/coreos/etcd",
parsedVersion: "latest",
},
}
for _, tt := range tests {
t.Run("parse name "+tt.image, func(t *testing.T) {
imageName, imageVersion := docker.ParseImage(tt.image)
require.Equal(t, tt.parsedName, imageName)
require.Equal(t, tt.parsedVersion, imageVersion)
})
}
}

View File

@ -1,30 +0,0 @@
package internal
import (
"bytes"
"os/exec"
"time"
)
// CombinedOutputTimeout runs the given command with the given timeout and
// returns the combined output of stdout and stderr.
// If the command times out, it attempts to kill the process.
func CombinedOutputTimeout(c *exec.Cmd, timeout time.Duration) ([]byte, error) {
var b bytes.Buffer
c.Stdout = &b
c.Stderr = &b
if err := c.Start(); err != nil {
return nil, err
}
err := WaitTimeout(c, timeout)
return b.Bytes(), err
}
// RunTimeout runs the given command with the given timeout.
// If the command times out, it attempts to kill the process.
func RunTimeout(c *exec.Cmd, timeout time.Duration) error {
if err := c.Start(); err != nil {
return err
}
return WaitTimeout(c, timeout)
}

View File

@ -1,58 +0,0 @@
// +build !windows
package internal
import (
"log"
"os/exec"
"syscall"
"time"
)
// KillGrace is the amount of time we allow a process to shutdown before
// sending a SIGKILL.
const KillGrace = 5 * time.Second
// WaitTimeout waits for the given command to finish with a timeout.
// It assumes the command has already been started.
// If the command times out, it attempts to kill the process.
func WaitTimeout(c *exec.Cmd, timeout time.Duration) error {
var kill *time.Timer
term := time.AfterFunc(timeout, func() {
err := c.Process.Signal(syscall.SIGTERM)
if err != nil {
log.Printf("E! [agent] Error terminating process: %s", err)
return
}
kill = time.AfterFunc(KillGrace, func() {
err := c.Process.Kill()
if err != nil {
log.Printf("E! [agent] Error killing process: %s", err)
return
}
})
})
err := c.Wait()
// Shutdown all timers
if kill != nil {
kill.Stop()
}
termSent := !term.Stop()
// If the process exited without error treat it as success. This allows a
// process to do a clean shutdown on signal.
if err == nil {
return nil
}
// If SIGTERM was sent then treat any process error as a timeout.
if termSent {
return TimeoutErr
}
// Otherwise there was an error unrelated to termination.
return err
}

View File

@ -1,41 +0,0 @@
// +build windows
package internal
import (
"log"
"os/exec"
"time"
)
// WaitTimeout waits for the given command to finish with a timeout.
// It assumes the command has already been started.
// If the command times out, it attempts to kill the process.
func WaitTimeout(c *exec.Cmd, timeout time.Duration) error {
timer := time.AfterFunc(timeout, func() {
err := c.Process.Kill()
if err != nil {
log.Printf("E! [agent] Error killing process: %s", err)
return
}
})
err := c.Wait()
// Shutdown all timers
termSent := !timer.Stop()
// If the process exited without error treat it as success. This allows a
// process to do a clean shutdown on signal.
if err == nil {
return nil
}
// If SIGTERM was sent then treat any process error as a timeout.
if termSent {
return TimeoutErr
}
// Otherwise there was an error unrelated to termination.
return err
}

View File

@ -1,116 +1,110 @@
package globpath
import (
"fmt"
"os"
"path/filepath"
"strings"
"github.com/gobwas/glob"
"github.com/karrick/godirwalk"
)
var sepStr = fmt.Sprintf("%v", string(os.PathSeparator))
type GlobPath struct {
path string
hasMeta bool
HasSuperMeta bool
rootGlob string
hasSuperMeta bool
g glob.Glob
root string
}
func Compile(path string) (*GlobPath, error) {
out := GlobPath{
hasMeta: hasMeta(path),
HasSuperMeta: hasSuperMeta(path),
path: filepath.FromSlash(path),
hasSuperMeta: hasSuperMeta(path),
path: path,
}
// if there are no glob meta characters in the path, don't bother compiling
// a glob object
if !out.hasMeta || !out.HasSuperMeta {
// a glob object or finding the root directory. (see short-circuit in Match)
if !out.hasMeta || !out.hasSuperMeta {
return &out, nil
}
// find the root elements of the object path, the entry point for recursion
// when you have a super-meta in your path (which are :
// glob(/your/expression/until/first/star/of/super-meta))
out.rootGlob = path[:strings.Index(path, "**")+1]
var err error
if out.g, err = glob.Compile(path, os.PathSeparator); err != nil {
return nil, err
}
// Get the root directory for this filepath
out.root = findRootDir(path)
return &out, nil
}
// Match returns all files matching the expression.
// If it's a static path, returns path.
// All returned path will have the host platform separator.
func (g *GlobPath) Match() []string {
func (g *GlobPath) Match() map[string]os.FileInfo {
if !g.hasMeta {
return []string{g.path}
out := make(map[string]os.FileInfo)
info, err := os.Stat(g.path)
if !os.IsNotExist(err) {
out[g.path] = info
}
return out
}
if !g.HasSuperMeta {
if !g.hasSuperMeta {
out := make(map[string]os.FileInfo)
files, _ := filepath.Glob(g.path)
return files
for _, file := range files {
info, err := os.Stat(file)
if !os.IsNotExist(err) {
out[file] = info
}
}
return out
}
roots, err := filepath.Glob(g.rootGlob)
if err != nil {
return []string{}
}
out := []string{}
walkfn := func(path string, _ *godirwalk.Dirent) error {
if g.g.Match(path) {
out = append(out, path)
return walkFilePath(g.root, g.g)
}
// walk the filepath from the given root and return a list of files that match
// the given glob.
func walkFilePath(root string, g glob.Glob) map[string]os.FileInfo {
matchedFiles := make(map[string]os.FileInfo)
walkfn := func(path string, info os.FileInfo, _ error) error {
if g.Match(path) {
matchedFiles[path] = info
}
return nil
}
for _, root := range roots {
fileinfo, err := os.Stat(root)
if err != nil {
filepath.Walk(root, walkfn)
return matchedFiles
}
// find the root dir of the given path (could include globs).
// ie:
// /var/log/telegraf.conf -> /var/log
// /home/** -> /home
// /home/*/** -> /home
// /lib/share/*/*/**.txt -> /lib/share
func findRootDir(path string) string {
pathItems := strings.Split(path, sepStr)
out := sepStr
for i, item := range pathItems {
if i == len(pathItems)-1 {
break
}
if item == "" {
continue
}
if !fileinfo.IsDir() {
if g.MatchString(root) {
out = append(out, root)
}
continue
if hasMeta(item) {
break
}
godirwalk.Walk(root, &godirwalk.Options{
Callback: walkfn,
Unsorted: true,
})
out += item + sepStr
}
if out != "/" {
out = strings.TrimSuffix(out, "/")
}
return out
}
// MatchString tests the path string against the glob. The path should contain
// the host platform separator.
func (g *GlobPath) MatchString(path string) bool {
if !g.HasSuperMeta {
res, _ := filepath.Match(g.path, path)
return res
}
return g.g.Match(path)
}
// GetRoots returns a list of files and directories which should be optimal
// prefixes of matching files when you have a super-meta in your expression :
// - any directory under these roots may contain a matching file
// - no file outside of these roots can match the pattern
// Note that it returns both files and directories.
// All returned path will have the host platform separator.
func (g *GlobPath) GetRoots() []string {
if !g.hasMeta {
return []string{g.path}
}
if !g.HasSuperMeta {
matches, _ := filepath.Glob(g.path)
return matches
}
roots, _ := filepath.Glob(g.rootGlob)
return roots
}
// hasMeta reports whether path contains any magic glob characters.
func hasMeta(path string) bool {
return strings.IndexAny(path, "*?[") >= 0

View File

@ -5,6 +5,7 @@ import (
"strings"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
@ -27,32 +28,31 @@ func TestCompileAndMatch(t *testing.T) {
require.NoError(t, err)
matches := g1.Match()
require.Len(t, matches, 6)
assert.Len(t, matches, 6)
matches = g2.Match()
require.Len(t, matches, 2)
assert.Len(t, matches, 2)
matches = g3.Match()
require.Len(t, matches, 1)
assert.Len(t, matches, 1)
matches = g4.Match()
require.Len(t, matches, 1)
assert.Len(t, matches, 0)
matches = g5.Match()
require.Len(t, matches, 0)
assert.Len(t, matches, 0)
}
func TestRootGlob(t *testing.T) {
dir := getTestdataDir()
func TestFindRootDir(t *testing.T) {
tests := []struct {
input string
output string
}{
{dir + "/**", dir + "/*"},
{dir + "/nested?/**", dir + "/nested?/*"},
{dir + "/ne**/nest*", dir + "/ne*"},
{dir + "/nested?/*", ""},
{"/var/log/telegraf.conf", "/var/log"},
{"/home/**", "/home"},
{"/home/*/**", "/home"},
{"/lib/share/*/*/**.txt", "/lib/share"},
}
for _, test := range tests {
actual, _ := Compile(test.input)
require.Equal(t, actual.rootGlob, test.output)
actual := findRootDir(test.input)
assert.Equal(t, test.output, actual)
}
}
@ -63,38 +63,10 @@ func TestFindNestedTextFile(t *testing.T) {
require.NoError(t, err)
matches := g1.Match()
require.Len(t, matches, 1)
assert.Len(t, matches, 1)
}
func getTestdataDir() string {
_, filename, _, _ := runtime.Caller(1)
return strings.Replace(filename, "globpath_test.go", "testdata", 1)
}
func TestMatch_ErrPermission(t *testing.T) {
tests := []struct {
input string
expected []string
}{
{"/root/foo", []string{"/root/foo"}},
{"/root/f*", []string(nil)},
}
for _, test := range tests {
glob, err := Compile(test.input)
require.NoError(t, err)
actual := glob.Match()
require.Equal(t, test.expected, actual)
}
}
func TestWindowsSeparator(t *testing.T) {
if runtime.GOOS != "windows" {
t.Skip("Skipping Windows only test")
}
glob, err := Compile("testdata/nested1")
require.NoError(t, err)
ok := glob.MatchString("testdata\\nested1")
require.True(t, ok)
}

View File

@ -1,9 +0,0 @@
// +build !goplugin
package goplugin
import "errors"
func LoadExternalPlugins(rootDir string) error {
return errors.New("go plugin support is not enabled")
}

View File

@ -1,42 +0,0 @@
// +build goplugin
package goplugin
import (
"fmt"
"os"
"path"
"path/filepath"
"plugin"
"strings"
)
// loadExternalPlugins loads external plugins from shared libraries (.so, .dll, etc.)
// in the specified directory.
func LoadExternalPlugins(rootDir string) error {
return filepath.Walk(rootDir, func(pth string, info os.FileInfo, err error) error {
// Stop if there was an error.
if err != nil {
return err
}
// Ignore directories.
if info.IsDir() {
return nil
}
// Ignore files that aren't shared libraries.
ext := strings.ToLower(path.Ext(pth))
if ext != ".so" && ext != ".dll" {
return nil
}
// Load plugin.
_, err = plugin.Open(pth)
if err != nil {
return fmt.Errorf("error loading %s: %s", pth, err)
}
return nil
})
}

View File

@ -1,108 +0,0 @@
package internal
import (
"crypto/subtle"
"net"
"net/http"
"net/url"
)
type BasicAuthErrorFunc func(rw http.ResponseWriter)
// AuthHandler returns a http handler that requires HTTP basic auth
// credentials to match the given username and password.
func AuthHandler(username, password, realm string, onError BasicAuthErrorFunc) func(h http.Handler) http.Handler {
return func(h http.Handler) http.Handler {
return &basicAuthHandler{
username: username,
password: password,
realm: realm,
onError: onError,
next: h,
}
}
}
type basicAuthHandler struct {
username string
password string
realm string
onError BasicAuthErrorFunc
next http.Handler
}
func (h *basicAuthHandler) ServeHTTP(rw http.ResponseWriter, req *http.Request) {
if h.username != "" || h.password != "" {
reqUsername, reqPassword, ok := req.BasicAuth()
if !ok ||
subtle.ConstantTimeCompare([]byte(reqUsername), []byte(h.username)) != 1 ||
subtle.ConstantTimeCompare([]byte(reqPassword), []byte(h.password)) != 1 {
rw.Header().Set("WWW-Authenticate", "Basic realm=\""+h.realm+"\"")
h.onError(rw)
http.Error(rw, http.StatusText(http.StatusUnauthorized), http.StatusUnauthorized)
return
}
}
h.next.ServeHTTP(rw, req)
}
// ErrorFunc is a callback for writing an error response.
type ErrorFunc func(rw http.ResponseWriter, code int)
// IPRangeHandler returns a http handler that requires the remote address to be
// in the specified network.
func IPRangeHandler(network []*net.IPNet, onError ErrorFunc) func(h http.Handler) http.Handler {
return func(h http.Handler) http.Handler {
return &ipRangeHandler{
network: network,
onError: onError,
next: h,
}
}
}
type ipRangeHandler struct {
network []*net.IPNet
onError ErrorFunc
next http.Handler
}
func (h *ipRangeHandler) ServeHTTP(rw http.ResponseWriter, req *http.Request) {
if len(h.network) == 0 {
h.next.ServeHTTP(rw, req)
return
}
remoteIPString, _, err := net.SplitHostPort(req.RemoteAddr)
if err != nil {
h.onError(rw, http.StatusForbidden)
return
}
remoteIP := net.ParseIP(remoteIPString)
if remoteIP == nil {
h.onError(rw, http.StatusForbidden)
return
}
for _, net := range h.network {
if net.Contains(remoteIP) {
h.next.ServeHTTP(rw, req)
return
}
}
h.onError(rw, http.StatusForbidden)
}
func OnClientError(client *http.Client, err error) {
// Close connection after a timeout error. If this is a HTTP2
// connection this ensures that next interval a new connection will be
// used and name lookup will be performed.
// https://github.com/golang/go/issues/36026
if err, ok := err.(*url.Error); ok && err.Timeout() {
client.CloseIdleConnections()
}
}

View File

@ -3,24 +3,20 @@ package internal
import (
"bufio"
"bytes"
"compress/gzip"
"context"
"crypto/rand"
"crypto/tls"
"crypto/x509"
"errors"
"fmt"
"io"
"math"
"math/rand"
"io/ioutil"
"log"
"math/big"
"os"
"os/exec"
"runtime"
"strconv"
"strings"
"sync"
"syscall"
"time"
"unicode"
"github.com/alecthomas/units"
)
const alphanum string = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
@ -29,52 +25,13 @@ var (
TimeoutErr = errors.New("Command timed out.")
NotImplementedError = errors.New("not implemented yet")
VersionAlreadySetError = errors.New("version has already been set")
)
// Set via the main module
var version string
// Duration just wraps time.Duration
type Duration struct {
Duration time.Duration
}
// Size just wraps an int64
type Size struct {
Size int64
}
type Number struct {
Value float64
}
type ReadWaitCloser struct {
pipeReader *io.PipeReader
wg sync.WaitGroup
}
// SetVersion sets the telegraf agent version
func SetVersion(v string) error {
if version != "" {
return VersionAlreadySetError
}
version = v
return nil
}
// Version returns the telegraf agent version
func Version() string {
return version
}
// ProductToken returns a tag for Telegraf that can be used in user agents.
func ProductToken() string {
return fmt.Sprintf("Telegraf/%s Go/%s",
Version(), strings.TrimPrefix(runtime.Version(), "go"))
}
// UnmarshalTOML parses the duration from the TOML config file
func (d *Duration) UnmarshalTOML(b []byte) error {
var err error
@ -110,37 +67,6 @@ func (d *Duration) UnmarshalTOML(b []byte) error {
return nil
}
func (s *Size) UnmarshalTOML(b []byte) error {
var err error
b = bytes.Trim(b, `'`)
val, err := strconv.ParseInt(string(b), 10, 64)
if err == nil {
s.Size = val
return nil
}
uq, err := strconv.Unquote(string(b))
if err != nil {
return err
}
val, err = units.ParseStrictBytes(uq)
if err != nil {
return err
}
s.Size = val
return nil
}
func (n *Number) UnmarshalTOML(b []byte) error {
value, err := strconv.ParseFloat(string(b), 64)
if err != nil {
return err
}
n.Value = value
return nil
}
// ReadLines reads contents from a file and splits them by new lines.
// A convenience wrapper to ReadLinesOffsetN(filename, 0, -1).
func ReadLines(filename string) ([]string, error) {
@ -186,6 +112,49 @@ func RandomString(n int) string {
return string(bytes)
}
// GetTLSConfig gets a tls.Config object from the given certs, key, and CA files.
// you must give the full path to the files.
// If all files are blank and InsecureSkipVerify=false, returns a nil pointer.
func GetTLSConfig(
SSLCert, SSLKey, SSLCA string,
InsecureSkipVerify bool,
) (*tls.Config, error) {
if SSLCert == "" && SSLKey == "" && SSLCA == "" && !InsecureSkipVerify {
return nil, nil
}
t := &tls.Config{
InsecureSkipVerify: InsecureSkipVerify,
}
if SSLCA != "" {
caCert, err := ioutil.ReadFile(SSLCA)
if err != nil {
return nil, errors.New(fmt.Sprintf("Could not load TLS CA: %s",
err))
}
caCertPool := x509.NewCertPool()
caCertPool.AppendCertsFromPEM(caCert)
t.RootCAs = caCertPool
}
if SSLCert != "" && SSLKey != "" {
cert, err := tls.LoadX509KeyPair(SSLCert, SSLKey)
if err != nil {
return nil, errors.New(fmt.Sprintf(
"Could not load TLS client key/certificate from %s:%s: %s",
SSLKey, SSLCert, err))
}
t.Certificates = []tls.Certificate{cert}
t.BuildNameToCertificate()
}
// will be nil by default if nothing is provided
return t, nil
}
// SnakeCase converts the given string to snake case following the Golang format:
// acronyms are converted to lower-case and preceded by an underscore.
func SnakeCase(in string) string {
@ -203,6 +172,51 @@ func SnakeCase(in string) string {
return string(out)
}
// CombinedOutputTimeout runs the given command with the given timeout and
// returns the combined output of stdout and stderr.
// If the command times out, it attempts to kill the process.
func CombinedOutputTimeout(c *exec.Cmd, timeout time.Duration) ([]byte, error) {
var b bytes.Buffer
c.Stdout = &b
c.Stderr = &b
if err := c.Start(); err != nil {
return nil, err
}
err := WaitTimeout(c, timeout)
return b.Bytes(), err
}
// RunTimeout runs the given command with the given timeout.
// If the command times out, it attempts to kill the process.
func RunTimeout(c *exec.Cmd, timeout time.Duration) error {
if err := c.Start(); err != nil {
return err
}
return WaitTimeout(c, timeout)
}
// WaitTimeout waits for the given command to finish with a timeout.
// It assumes the command has already been started.
// If the command times out, it attempts to kill the process.
func WaitTimeout(c *exec.Cmd, timeout time.Duration) error {
timer := time.NewTimer(timeout)
done := make(chan error)
go func() { done <- c.Wait() }()
select {
case err := <-done:
timer.Stop()
return err
case <-timer.C:
if err := c.Process.Kill(); err != nil {
log.Printf("E! FATAL error killing process: %s", err)
return err
}
// wait for the command to return after killing it
<-done
return TimeoutErr
}
}
// RandomSleep will sleep for a random amount of time up to max.
// If the shutdown channel is closed, it will return before it has finished
// sleeping.
@ -210,8 +224,12 @@ func RandomSleep(max time.Duration, shutdown chan struct{}) {
if max == 0 {
return
}
maxSleep := big.NewInt(max.Nanoseconds())
sleepns := rand.Int63n(max.Nanoseconds())
var sleepns int64
if j, err := rand.Int(rand.Reader, maxSleep); err == nil {
sleepns = j.Int64()
}
t := time.NewTimer(time.Nanosecond * time.Duration(sleepns))
select {
@ -222,203 +240,3 @@ func RandomSleep(max time.Duration, shutdown chan struct{}) {
return
}
}
// RandomDuration returns a random duration between 0 and max.
func RandomDuration(max time.Duration) time.Duration {
if max == 0 {
return 0
}
sleepns := rand.Int63n(max.Nanoseconds())
return time.Duration(sleepns)
}
// SleepContext sleeps until the context is closed or the duration is reached.
func SleepContext(ctx context.Context, duration time.Duration) error {
if duration == 0 {
return nil
}
t := time.NewTimer(duration)
select {
case <-t.C:
return nil
case <-ctx.Done():
t.Stop()
return ctx.Err()
}
}
// AlignDuration returns the duration until next aligned interval.
// If the current time is aligned a 0 duration is returned.
func AlignDuration(tm time.Time, interval time.Duration) time.Duration {
return AlignTime(tm, interval).Sub(tm)
}
// AlignTime returns the time of the next aligned interval.
// If the current time is aligned the current time is returned.
func AlignTime(tm time.Time, interval time.Duration) time.Time {
truncated := tm.Truncate(interval)
if truncated == tm {
return tm
}
return truncated.Add(interval)
}
// Exit status takes the error from exec.Command
// and returns the exit status and true
// if error is not exit status, will return 0 and false
func ExitStatus(err error) (int, bool) {
if exiterr, ok := err.(*exec.ExitError); ok {
if status, ok := exiterr.Sys().(syscall.WaitStatus); ok {
return status.ExitStatus(), true
}
}
return 0, false
}
func (r *ReadWaitCloser) Close() error {
err := r.pipeReader.Close()
r.wg.Wait() // wait for the gzip goroutine finish
return err
}
// CompressWithGzip takes an io.Reader as input and pipes
// it through a gzip.Writer returning an io.Reader containing
// the gzipped data.
// An error is returned if passing data to the gzip.Writer fails
func CompressWithGzip(data io.Reader) (io.ReadCloser, error) {
pipeReader, pipeWriter := io.Pipe()
gzipWriter := gzip.NewWriter(pipeWriter)
rc := &ReadWaitCloser{
pipeReader: pipeReader,
}
rc.wg.Add(1)
var err error
go func() {
_, err = io.Copy(gzipWriter, data)
gzipWriter.Close()
// subsequent reads from the read half of the pipe will
// return no bytes and the error err, or EOF if err is nil.
pipeWriter.CloseWithError(err)
rc.wg.Done()
}()
return pipeReader, err
}
// ParseTimestamp parses a Time according to the standard Telegraf options.
// These are generally displayed in the toml similar to:
// json_time_key= "timestamp"
// json_time_format = "2006-01-02T15:04:05Z07:00"
// json_timezone = "America/Los_Angeles"
//
// The format can be one of "unix", "unix_ms", "unix_us", "unix_ns", or a Go
// time layout suitable for time.Parse.
//
// When using the "unix" format, a optional fractional component is allowed.
// Specific unix time precisions cannot have a fractional component.
//
// Unix times may be an int64, float64, or string. When using a Go format
// string the timestamp must be a string.
//
// The location is a location string suitable for time.LoadLocation. Unix
// times do not use the location string, a unix time is always return in the
// UTC location.
func ParseTimestamp(format string, timestamp interface{}, location string) (time.Time, error) {
switch format {
case "unix", "unix_ms", "unix_us", "unix_ns":
return parseUnix(format, timestamp)
default:
if location == "" {
location = "UTC"
}
return parseTime(format, timestamp, location)
}
}
func parseUnix(format string, timestamp interface{}) (time.Time, error) {
integer, fractional, err := parseComponents(timestamp)
if err != nil {
return time.Unix(0, 0), err
}
switch strings.ToLower(format) {
case "unix":
return time.Unix(integer, fractional).UTC(), nil
case "unix_ms":
return time.Unix(0, integer*1e6).UTC(), nil
case "unix_us":
return time.Unix(0, integer*1e3).UTC(), nil
case "unix_ns":
return time.Unix(0, integer).UTC(), nil
default:
return time.Unix(0, 0), errors.New("unsupported type")
}
}
// Returns the integers before and after an optional decimal point. Both '.'
// and ',' are supported for the decimal point. The timestamp can be an int64,
// float64, or string.
// ex: "42.5" -> (42, 5, nil)
func parseComponents(timestamp interface{}) (int64, int64, error) {
switch ts := timestamp.(type) {
case string:
parts := strings.SplitN(ts, ".", 2)
if len(parts) == 2 {
return parseUnixTimeComponents(parts[0], parts[1])
}
parts = strings.SplitN(ts, ",", 2)
if len(parts) == 2 {
return parseUnixTimeComponents(parts[0], parts[1])
}
integer, err := strconv.ParseInt(ts, 10, 64)
if err != nil {
return 0, 0, err
}
return integer, 0, nil
case int64:
return ts, 0, nil
case float64:
integer, fractional := math.Modf(ts)
return int64(integer), int64(fractional * 1e9), nil
default:
return 0, 0, errors.New("unsupported type")
}
}
func parseUnixTimeComponents(first, second string) (int64, int64, error) {
integer, err := strconv.ParseInt(first, 10, 64)
if err != nil {
return 0, 0, err
}
// Convert to nanoseconds, dropping any greater precision.
buf := []byte("000000000")
copy(buf, second)
fractional, err := strconv.ParseInt(string(buf), 10, 64)
if err != nil {
return 0, 0, err
}
return integer, fractional, nil
}
// ParseTime parses a string timestamp according to the format string.
func parseTime(format string, timestamp interface{}, location string) (time.Time, error) {
switch ts := timestamp.(type) {
case string:
loc, err := time.LoadLocation(location)
if err != nil {
return time.Unix(0, 0), err
}
return time.ParseInLocation(format, ts, loc)
default:
return time.Unix(0, 0), errors.New("unsupported type")
}
}

View File

@ -1,19 +1,11 @@
package internal
import (
"bytes"
"compress/gzip"
"crypto/rand"
"io"
"io/ioutil"
"log"
"os/exec"
"regexp"
"testing"
"time"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
type SnakeTest struct {
@ -48,13 +40,9 @@ func TestSnakeCase(t *testing.T) {
var (
sleepbin, _ = exec.LookPath("sleep")
echobin, _ = exec.LookPath("echo")
shell, _ = exec.LookPath("sh")
)
func TestRunTimeout(t *testing.T) {
if testing.Short() {
t.Skip("Skipping test due to random failures.")
}
if sleepbin == "" {
t.Skip("'sleep' binary not available on OS, skipping.")
}
@ -68,33 +56,7 @@ func TestRunTimeout(t *testing.T) {
assert.True(t, elapsed < time.Millisecond*75)
}
// Verifies behavior of a command that doesn't get killed.
func TestRunTimeoutFastExit(t *testing.T) {
if testing.Short() {
t.Skip("Skipping test due to random failures.")
}
if echobin == "" {
t.Skip("'echo' binary not available on OS, skipping.")
}
cmd := exec.Command(echobin)
start := time.Now()
err := RunTimeout(cmd, time.Millisecond*20)
buf := &bytes.Buffer{}
log.SetOutput(buf)
elapsed := time.Since(start)
require.NoError(t, err)
// Verify that command gets killed in 20ms, with some breathing room
assert.True(t, elapsed < time.Millisecond*75)
// Verify "process already finished" log doesn't occur.
time.Sleep(time.Millisecond * 75)
require.Equal(t, "", buf.String())
}
func TestCombinedOutputTimeout(t *testing.T) {
// TODO: Fix this test
t.Skip("Test failing too often, skip for now and revisit later.")
if sleepbin == "" {
t.Skip("'sleep' binary not available on OS, skipping.")
}
@ -122,13 +84,13 @@ func TestCombinedOutput(t *testing.T) {
// test that CombinedOutputTimeout and exec.Cmd.CombinedOutput return
// the same output from a failed command.
func TestCombinedOutputError(t *testing.T) {
if shell == "" {
t.Skip("'sh' binary not available on OS, skipping.")
if sleepbin == "" {
t.Skip("'sleep' binary not available on OS, skipping.")
}
cmd := exec.Command(shell, "-c", "false")
cmd := exec.Command(sleepbin, "foo")
expected, err := cmd.CombinedOutput()
cmd2 := exec.Command(shell, "-c", "false")
cmd2 := exec.Command(sleepbin, "foo")
actual, err := CombinedOutputTimeout(cmd2, time.Second)
assert.Error(t, err)
@ -136,18 +98,16 @@ func TestCombinedOutputError(t *testing.T) {
}
func TestRunError(t *testing.T) {
if shell == "" {
t.Skip("'sh' binary not available on OS, skipping.")
if sleepbin == "" {
t.Skip("'sleep' binary not available on OS, skipping.")
}
cmd := exec.Command(shell, "-c", "false")
cmd := exec.Command(sleepbin, "foo")
err := RunTimeout(cmd, time.Second)
assert.Error(t, err)
}
func TestRandomSleep(t *testing.T) {
// TODO: Fix this test
t.Skip("Test failing too often, skip for now and revisit later.")
// test that zero max returns immediately
s := time.Now()
RandomSleep(time.Duration(0), make(chan struct{}))
@ -194,298 +154,3 @@ func TestDuration(t *testing.T) {
d.UnmarshalTOML([]byte(`1.5`))
assert.Equal(t, time.Second, d.Duration)
}
func TestSize(t *testing.T) {
var s Size
s.UnmarshalTOML([]byte(`"1B"`))
assert.Equal(t, int64(1), s.Size)
s = Size{}
s.UnmarshalTOML([]byte(`1`))
assert.Equal(t, int64(1), s.Size)
s = Size{}
s.UnmarshalTOML([]byte(`'1'`))
assert.Equal(t, int64(1), s.Size)
s = Size{}
s.UnmarshalTOML([]byte(`"1GB"`))
assert.Equal(t, int64(1000*1000*1000), s.Size)
s = Size{}
s.UnmarshalTOML([]byte(`"12GiB"`))
assert.Equal(t, int64(12*1024*1024*1024), s.Size)
}
func TestCompressWithGzip(t *testing.T) {
testData := "the quick brown fox jumps over the lazy dog"
inputBuffer := bytes.NewBuffer([]byte(testData))
outputBuffer, err := CompressWithGzip(inputBuffer)
assert.NoError(t, err)
gzipReader, err := gzip.NewReader(outputBuffer)
assert.NoError(t, err)
defer gzipReader.Close()
output, err := ioutil.ReadAll(gzipReader)
assert.NoError(t, err)
assert.Equal(t, testData, string(output))
}
type mockReader struct {
readN uint64 // record the number of calls to Read
}
func (r *mockReader) Read(p []byte) (n int, err error) {
r.readN++
return rand.Read(p)
}
func TestCompressWithGzipEarlyClose(t *testing.T) {
mr := &mockReader{}
rc, err := CompressWithGzip(mr)
assert.NoError(t, err)
n, err := io.CopyN(ioutil.Discard, rc, 10000)
assert.NoError(t, err)
assert.Equal(t, int64(10000), n)
r1 := mr.readN
err = rc.Close()
assert.NoError(t, err)
n, err = io.CopyN(ioutil.Discard, rc, 10000)
assert.Error(t, io.EOF, err)
assert.Equal(t, int64(0), n)
r2 := mr.readN
// no more read to the source after closing
assert.Equal(t, r1, r2)
}
func TestVersionAlreadySet(t *testing.T) {
err := SetVersion("foo")
assert.Nil(t, err)
err = SetVersion("bar")
assert.NotNil(t, err)
assert.IsType(t, VersionAlreadySetError, err)
assert.Equal(t, "foo", Version())
}
func TestAlignDuration(t *testing.T) {
tests := []struct {
name string
now time.Time
interval time.Duration
expected time.Duration
}{
{
name: "aligned",
now: time.Date(2018, 1, 1, 1, 1, 0, 0, time.UTC),
interval: 10 * time.Second,
expected: 0 * time.Second,
},
{
name: "standard interval",
now: time.Date(2018, 1, 1, 1, 1, 1, 0, time.UTC),
interval: 10 * time.Second,
expected: 9 * time.Second,
},
{
name: "odd interval",
now: time.Date(2018, 1, 1, 1, 1, 1, 0, time.UTC),
interval: 3 * time.Second,
expected: 2 * time.Second,
},
{
name: "sub second interval",
now: time.Date(2018, 1, 1, 1, 1, 0, 5e8, time.UTC),
interval: 1 * time.Second,
expected: 500 * time.Millisecond,
},
{
name: "non divisible not aligned on minutes",
now: time.Date(2018, 1, 1, 1, 0, 0, 0, time.UTC),
interval: 1*time.Second + 100*time.Millisecond,
expected: 400 * time.Millisecond,
},
{
name: "long interval",
now: time.Date(2018, 1, 1, 1, 1, 0, 0, time.UTC),
interval: 1 * time.Hour,
expected: 59 * time.Minute,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
actual := AlignDuration(tt.now, tt.interval)
require.Equal(t, tt.expected, actual)
})
}
}
func TestAlignTime(t *testing.T) {
rfc3339 := func(value string) time.Time {
t, _ := time.Parse(time.RFC3339, value)
return t
}
tests := []struct {
name string
now time.Time
interval time.Duration
expected time.Time
}{
{
name: "aligned",
now: rfc3339("2018-01-01T01:01:00Z"),
interval: 10 * time.Second,
expected: rfc3339("2018-01-01T01:01:00Z"),
},
{
name: "aligned",
now: rfc3339("2018-01-01T01:01:01Z"),
interval: 10 * time.Second,
expected: rfc3339("2018-01-01T01:01:10Z"),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
actual := AlignTime(tt.now, tt.interval)
require.Equal(t, tt.expected, actual)
})
}
}
func TestParseTimestamp(t *testing.T) {
rfc3339 := func(value string) time.Time {
tm, err := time.Parse(time.RFC3339Nano, value)
if err != nil {
panic(err)
}
return tm
}
tests := []struct {
name string
format string
timestamp interface{}
location string
expected time.Time
err bool
}{
{
name: "parse layout string in utc",
format: "2006-01-02 15:04:05",
timestamp: "2019-02-20 21:50:34",
location: "UTC",
expected: rfc3339("2019-02-20T21:50:34Z"),
},
{
name: "parse layout string with invalid timezone",
format: "2006-01-02 15:04:05",
timestamp: "2019-02-20 21:50:34",
location: "InvalidTimeZone",
err: true,
},
{
name: "layout regression 6386",
format: "02.01.2006 15:04:05",
timestamp: "09.07.2019 00:11:00",
expected: rfc3339("2019-07-09T00:11:00Z"),
},
{
name: "default location is utc",
format: "2006-01-02 15:04:05",
timestamp: "2019-02-20 21:50:34",
expected: rfc3339("2019-02-20T21:50:34Z"),
},
{
name: "unix seconds without fractional",
format: "unix",
timestamp: "1568338208",
expected: rfc3339("2019-09-13T01:30:08Z"),
},
{
name: "unix seconds with fractional",
format: "unix",
timestamp: "1568338208.500",
expected: rfc3339("2019-09-13T01:30:08.500Z"),
},
{
name: "unix seconds with fractional and comma decimal point",
format: "unix",
timestamp: "1568338208,500",
expected: rfc3339("2019-09-13T01:30:08.500Z"),
},
{
name: "unix seconds extra precision",
format: "unix",
timestamp: "1568338208.00000050042",
expected: rfc3339("2019-09-13T01:30:08.000000500Z"),
},
{
name: "unix seconds integer",
format: "unix",
timestamp: int64(1568338208),
expected: rfc3339("2019-09-13T01:30:08Z"),
},
{
name: "unix seconds float",
format: "unix",
timestamp: float64(1568338208.500),
expected: rfc3339("2019-09-13T01:30:08.500Z"),
},
{
name: "unix milliseconds",
format: "unix_ms",
timestamp: "1568338208500",
expected: rfc3339("2019-09-13T01:30:08.500Z"),
},
{
name: "unix milliseconds with fractional is ignored",
format: "unix_ms",
timestamp: "1568338208500.42",
expected: rfc3339("2019-09-13T01:30:08.500Z"),
},
{
name: "unix microseconds",
format: "unix_us",
timestamp: "1568338208000500",
expected: rfc3339("2019-09-13T01:30:08.000500Z"),
},
{
name: "unix nanoseconds",
format: "unix_ns",
timestamp: "1568338208000000500",
expected: rfc3339("2019-09-13T01:30:08.000000500Z"),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
tm, err := ParseTimestamp(tt.format, tt.timestamp, tt.location)
if tt.err {
require.Error(t, err)
} else {
require.NoError(t, err)
require.Equal(t, tt.expected, tm)
}
})
}
}
func TestProductToken(t *testing.T) {
token := ProductToken()
// Telegraf version depends on the call to SetVersion, it cannot be set
// multiple times and is not thread-safe.
re := regexp.MustCompile(`^Telegraf/[^\s]+ Go/\d+.\d+(.\d+)?$`)
require.True(t, re.MatchString(token), token)
}

View File

@ -0,0 +1,54 @@
package limiter
import (
"testing"
"time"
"github.com/stretchr/testify/assert"
)
func TestRateLimiter(t *testing.T) {
r := NewRateLimiter(5, time.Second)
ticker := time.NewTicker(time.Millisecond * 75)
// test that we can only get 5 receives from the rate limiter
counter := 0
outer:
for {
select {
case <-r.C:
counter++
case <-ticker.C:
break outer
}
}
assert.Equal(t, 5, counter)
r.Stop()
// verify that the Stop function closes the channel.
_, ok := <-r.C
assert.False(t, ok)
}
func TestRateLimiterMultipleIterations(t *testing.T) {
r := NewRateLimiter(5, time.Millisecond*50)
ticker := time.NewTicker(time.Millisecond * 250)
// test that we can get 15 receives from the rate limiter
counter := 0
outer:
for {
select {
case <-ticker.C:
break outer
case <-r.C:
counter++
}
}
assert.True(t, counter > 10)
r.Stop()
// verify that the Stop function closes the channel.
_, ok := <-r.C
assert.False(t, ok)
}

View File

@ -3,7 +3,6 @@ package models
import (
"fmt"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/filter"
)
@ -79,13 +78,13 @@ func (f *Filter) Compile() error {
return fmt.Errorf("Error compiling 'taginclude', %s", err)
}
for i := range f.TagDrop {
for i, _ := range f.TagDrop {
f.TagDrop[i].filter, err = filter.Compile(f.TagDrop[i].Filter)
if err != nil {
return fmt.Errorf("Error compiling 'tagdrop', %s", err)
}
}
for i := range f.TagPass {
for i, _ := range f.TagPass {
f.TagPass[i].filter, err = filter.Compile(f.TagPass[i].Filter)
if err != nil {
return fmt.Errorf("Error compiling 'tagpass', %s", err)
@ -94,36 +93,45 @@ func (f *Filter) Compile() error {
return nil
}
// Select returns true if the metric matches according to the
// namepass/namedrop and tagpass/tagdrop filters. The metric is not modified.
func (f *Filter) Select(metric telegraf.Metric) bool {
// Apply applies the filter to the given measurement name, fields map, and
// tags map. It will return false if the metric should be "filtered out", and
// true if the metric should "pass".
// It will modify tags & fields in-place if they need to be deleted.
func (f *Filter) Apply(
measurement string,
fields map[string]interface{},
tags map[string]string,
) bool {
if !f.isActive {
return true
}
if !f.shouldNamePass(metric.Name()) {
// check if the measurement name should pass
if !f.shouldNamePass(measurement) {
return false
}
if !f.shouldTagsPass(metric.TagList()) {
// check if the tags should pass
if !f.shouldTagsPass(tags) {
return false
}
// filter fields
for fieldkey, _ := range fields {
if !f.shouldFieldPass(fieldkey) {
delete(fields, fieldkey)
}
}
if len(fields) == 0 {
return false
}
// filter tags
f.filterTags(tags)
return true
}
// Modify removes any tags and fields from the metric according to the
// fieldpass/fielddrop and taginclude/tagexclude filters.
func (f *Filter) Modify(metric telegraf.Metric) {
if !f.isActive {
return
}
f.filterFields(metric)
f.filterTags(metric)
}
// IsActive checking if filter is active
func (f *Filter) IsActive() bool {
return f.isActive
}
@ -131,130 +139,89 @@ func (f *Filter) IsActive() bool {
// shouldNamePass returns true if the metric should pass, false if should drop
// based on the drop/pass filter parameters
func (f *Filter) shouldNamePass(key string) bool {
pass := func(f *Filter) bool {
if f.namePass != nil {
if f.namePass.Match(key) {
return true
}
return false
}
drop := func(f *Filter) bool {
if f.nameDrop != nil {
if f.nameDrop.Match(key) {
return false
}
return true
}
if f.namePass != nil && f.nameDrop != nil {
return pass(f) && drop(f)
} else if f.namePass != nil {
return pass(f)
} else if f.nameDrop != nil {
return drop(f)
}
return true
}
// shouldFieldPass returns true if the metric should pass, false if should drop
// based on the drop/pass filter parameters
func (f *Filter) shouldFieldPass(key string) bool {
if f.fieldPass != nil && f.fieldDrop != nil {
return f.fieldPass.Match(key) && !f.fieldDrop.Match(key)
} else if f.fieldPass != nil {
return f.fieldPass.Match(key)
} else if f.fieldDrop != nil {
return !f.fieldDrop.Match(key)
if f.fieldPass != nil {
if f.fieldPass.Match(key) {
return true
}
return false
}
if f.fieldDrop != nil {
if f.fieldDrop.Match(key) {
return false
}
}
return true
}
// shouldTagsPass returns true if the metric should pass, false if should drop
// based on the tagdrop/tagpass filter parameters
func (f *Filter) shouldTagsPass(tags []*telegraf.Tag) bool {
pass := func(f *Filter) bool {
func (f *Filter) shouldTagsPass(tags map[string]string) bool {
if f.TagPass != nil {
for _, pat := range f.TagPass {
if pat.filter == nil {
continue
}
for _, tag := range tags {
if tag.Key == pat.Name {
if pat.filter.Match(tag.Value) {
return true
}
if tagval, ok := tags[pat.Name]; ok {
if pat.filter.Match(tagval) {
return true
}
}
}
return false
}
drop := func(f *Filter) bool {
if f.TagDrop != nil {
for _, pat := range f.TagDrop {
if pat.filter == nil {
continue
}
for _, tag := range tags {
if tag.Key == pat.Name {
if pat.filter.Match(tag.Value) {
return false
}
if tagval, ok := tags[pat.Name]; ok {
if pat.filter.Match(tagval) {
return false
}
}
}
return true
}
// Add additional logic in case where both parameters are set.
// see: https://github.com/influxdata/telegraf/issues/2860
if f.TagPass != nil && f.TagDrop != nil {
// return true only in case when tag pass and won't be dropped (true, true).
// in case when the same tag should be passed and dropped it will be dropped (true, false).
return pass(f) && drop(f)
} else if f.TagPass != nil {
return pass(f)
} else if f.TagDrop != nil {
return drop(f)
}
return true
}
// filterFields removes fields according to fieldpass/fielddrop.
func (f *Filter) filterFields(metric telegraf.Metric) {
filterKeys := []string{}
for _, field := range metric.FieldList() {
if !f.shouldFieldPass(field.Key) {
filterKeys = append(filterKeys, field.Key)
}
}
for _, key := range filterKeys {
metric.RemoveField(key)
}
}
// filterTags removes tags according to taginclude/tagexclude.
func (f *Filter) filterTags(metric telegraf.Metric) {
filterKeys := []string{}
// Apply TagInclude and TagExclude filters.
// modifies the tags map in-place.
func (f *Filter) filterTags(tags map[string]string) {
if f.tagInclude != nil {
for _, tag := range metric.TagList() {
if !f.tagInclude.Match(tag.Key) {
filterKeys = append(filterKeys, tag.Key)
for k, _ := range tags {
if !f.tagInclude.Match(k) {
delete(tags, k)
}
}
}
for _, key := range filterKeys {
metric.RemoveTag(key)
}
if f.tagExclude != nil {
for _, tag := range metric.TagList() {
if f.tagExclude.Match(tag.Key) {
filterKeys = append(filterKeys, tag.Key)
for k, _ := range tags {
if f.tagExclude.Match(k) {
delete(tags, k)
}
}
}
for _, key := range filterKeys {
metric.RemoveTag(key)
}
}

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package models
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestFilter_ApplyEmpty(t *testing.T) {
f := Filter{}
require.NoError(t, f.Compile())
assert.False(t, f.IsActive())
assert.True(t, f.Apply("m", map[string]interface{}{"value": int64(1)}, map[string]string{}))
}
func TestFilter_ApplyTagsDontPass(t *testing.T) {
filters := []TagFilter{
TagFilter{
Name: "cpu",
Filter: []string{"cpu-*"},
},
}
f := Filter{
TagDrop: filters,
}
require.NoError(t, f.Compile())
require.NoError(t, f.Compile())
assert.True(t, f.IsActive())
assert.False(t, f.Apply("m",
map[string]interface{}{"value": int64(1)},
map[string]string{"cpu": "cpu-total"}))
}
func TestFilter_ApplyDeleteFields(t *testing.T) {
f := Filter{
FieldDrop: []string{"value"},
}
require.NoError(t, f.Compile())
require.NoError(t, f.Compile())
assert.True(t, f.IsActive())
fields := map[string]interface{}{"value": int64(1), "value2": int64(2)}
assert.True(t, f.Apply("m", fields, nil))
assert.Equal(t, map[string]interface{}{"value2": int64(2)}, fields)
}
func TestFilter_ApplyDeleteAllFields(t *testing.T) {
f := Filter{
FieldDrop: []string{"value*"},
}
require.NoError(t, f.Compile())
require.NoError(t, f.Compile())
assert.True(t, f.IsActive())
fields := map[string]interface{}{"value": int64(1), "value2": int64(2)}
assert.False(t, f.Apply("m", fields, nil))
}
func TestFilter_Empty(t *testing.T) {
f := Filter{}
measurements := []string{
"foo",
"bar",
"barfoo",
"foo_bar",
"foo.bar",
"foo-bar",
"supercalifradjulisticexpialidocious",
}
for _, measurement := range measurements {
if !f.shouldFieldPass(measurement) {
t.Errorf("Expected measurement %s to pass", measurement)
}
}
}
func TestFilter_NamePass(t *testing.T) {
f := Filter{
NamePass: []string{"foo*", "cpu_usage_idle"},
}
require.NoError(t, f.Compile())
passes := []string{
"foo",
"foo_bar",
"foo.bar",
"foo-bar",
"cpu_usage_idle",
}
drops := []string{
"bar",
"barfoo",
"bar_foo",
"cpu_usage_busy",
}
for _, measurement := range passes {
if !f.shouldNamePass(measurement) {
t.Errorf("Expected measurement %s to pass", measurement)
}
}
for _, measurement := range drops {
if f.shouldNamePass(measurement) {
t.Errorf("Expected measurement %s to drop", measurement)
}
}
}
func TestFilter_NameDrop(t *testing.T) {
f := Filter{
NameDrop: []string{"foo*", "cpu_usage_idle"},
}
require.NoError(t, f.Compile())
drops := []string{
"foo",
"foo_bar",
"foo.bar",
"foo-bar",
"cpu_usage_idle",
}
passes := []string{
"bar",
"barfoo",
"bar_foo",
"cpu_usage_busy",
}
for _, measurement := range passes {
if !f.shouldNamePass(measurement) {
t.Errorf("Expected measurement %s to pass", measurement)
}
}
for _, measurement := range drops {
if f.shouldNamePass(measurement) {
t.Errorf("Expected measurement %s to drop", measurement)
}
}
}
func TestFilter_FieldPass(t *testing.T) {
f := Filter{
FieldPass: []string{"foo*", "cpu_usage_idle"},
}
require.NoError(t, f.Compile())
passes := []string{
"foo",
"foo_bar",
"foo.bar",
"foo-bar",
"cpu_usage_idle",
}
drops := []string{
"bar",
"barfoo",
"bar_foo",
"cpu_usage_busy",
}
for _, measurement := range passes {
if !f.shouldFieldPass(measurement) {
t.Errorf("Expected measurement %s to pass", measurement)
}
}
for _, measurement := range drops {
if f.shouldFieldPass(measurement) {
t.Errorf("Expected measurement %s to drop", measurement)
}
}
}
func TestFilter_FieldDrop(t *testing.T) {
f := Filter{
FieldDrop: []string{"foo*", "cpu_usage_idle"},
}
require.NoError(t, f.Compile())
drops := []string{
"foo",
"foo_bar",
"foo.bar",
"foo-bar",
"cpu_usage_idle",
}
passes := []string{
"bar",
"barfoo",
"bar_foo",
"cpu_usage_busy",
}
for _, measurement := range passes {
if !f.shouldFieldPass(measurement) {
t.Errorf("Expected measurement %s to pass", measurement)
}
}
for _, measurement := range drops {
if f.shouldFieldPass(measurement) {
t.Errorf("Expected measurement %s to drop", measurement)
}
}
}
func TestFilter_TagPass(t *testing.T) {
filters := []TagFilter{
TagFilter{
Name: "cpu",
Filter: []string{"cpu-*"},
},
TagFilter{
Name: "mem",
Filter: []string{"mem_free"},
}}
f := Filter{
TagPass: filters,
}
require.NoError(t, f.Compile())
passes := []map[string]string{
{"cpu": "cpu-total"},
{"cpu": "cpu-0"},
{"cpu": "cpu-1"},
{"cpu": "cpu-2"},
{"mem": "mem_free"},
}
drops := []map[string]string{
{"cpu": "cputotal"},
{"cpu": "cpu0"},
{"cpu": "cpu1"},
{"cpu": "cpu2"},
{"mem": "mem_used"},
}
for _, tags := range passes {
if !f.shouldTagsPass(tags) {
t.Errorf("Expected tags %v to pass", tags)
}
}
for _, tags := range drops {
if f.shouldTagsPass(tags) {
t.Errorf("Expected tags %v to drop", tags)
}
}
}
func TestFilter_TagDrop(t *testing.T) {
filters := []TagFilter{
TagFilter{
Name: "cpu",
Filter: []string{"cpu-*"},
},
TagFilter{
Name: "mem",
Filter: []string{"mem_free"},
}}
f := Filter{
TagDrop: filters,
}
require.NoError(t, f.Compile())
drops := []map[string]string{
{"cpu": "cpu-total"},
{"cpu": "cpu-0"},
{"cpu": "cpu-1"},
{"cpu": "cpu-2"},
{"mem": "mem_free"},
}
passes := []map[string]string{
{"cpu": "cputotal"},
{"cpu": "cpu0"},
{"cpu": "cpu1"},
{"cpu": "cpu2"},
{"mem": "mem_used"},
}
for _, tags := range passes {
if !f.shouldTagsPass(tags) {
t.Errorf("Expected tags %v to pass", tags)
}
}
for _, tags := range drops {
if f.shouldTagsPass(tags) {
t.Errorf("Expected tags %v to drop", tags)
}
}
}
func TestFilter_FilterTagsNoMatches(t *testing.T) {
pretags := map[string]string{
"host": "localhost",
"mytag": "foobar",
}
f := Filter{
TagExclude: []string{"nomatch"},
}
require.NoError(t, f.Compile())
f.filterTags(pretags)
assert.Equal(t, map[string]string{
"host": "localhost",
"mytag": "foobar",
}, pretags)
f = Filter{
TagInclude: []string{"nomatch"},
}
require.NoError(t, f.Compile())
f.filterTags(pretags)
assert.Equal(t, map[string]string{}, pretags)
}
func TestFilter_FilterTagsMatches(t *testing.T) {
pretags := map[string]string{
"host": "localhost",
"mytag": "foobar",
}
f := Filter{
TagExclude: []string{"ho*"},
}
require.NoError(t, f.Compile())
f.filterTags(pretags)
assert.Equal(t, map[string]string{
"mytag": "foobar",
}, pretags)
pretags = map[string]string{
"host": "localhost",
"mytag": "foobar",
}
f = Filter{
TagInclude: []string{"my*"},
}
require.NoError(t, f.Compile())
f.filterTags(pretags)
assert.Equal(t, map[string]string{
"mytag": "foobar",
}, pretags)
}

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package models
import (
"log"
"math"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/metric"
)
// makemetric is used by both RunningAggregator & RunningInput
// to make metrics.
// nameOverride: override the name of the measurement being made.
// namePrefix: add this prefix to each measurement name.
// nameSuffix: add this suffix to each measurement name.
// pluginTags: these are tags that are specific to this plugin.
// daemonTags: these are daemon-wide global tags, and get applied after pluginTags.
// filter: this is a filter to apply to each metric being made.
// applyFilter: if false, the above filter is not applied to each metric.
// This is used by Aggregators, because aggregators use filters
// on incoming metrics instead of on created metrics.
// TODO refactor this to not have such a huge func signature.
func makemetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
nameOverride string,
namePrefix string,
nameSuffix string,
pluginTags map[string]string,
daemonTags map[string]string,
filter Filter,
applyFilter bool,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
if len(fields) == 0 || len(measurement) == 0 {
return nil
}
if tags == nil {
tags = make(map[string]string)
}
// Override measurement name if set
if len(nameOverride) != 0 {
measurement = nameOverride
}
// Apply measurement prefix and suffix if set
if len(namePrefix) != 0 {
measurement = namePrefix + measurement
}
if len(nameSuffix) != 0 {
measurement = measurement + nameSuffix
}
// Apply plugin-wide tags if set
for k, v := range pluginTags {
if _, ok := tags[k]; !ok {
tags[k] = v
}
}
// Apply daemon-wide tags if set
for k, v := range daemonTags {
if _, ok := tags[k]; !ok {
tags[k] = v
}
}
// Apply the metric filter(s)
// for aggregators, the filter does not get applied when the metric is made.
// instead, the filter is applied to metric incoming into the plugin.
// ie, it gets applied in the RunningAggregator.Apply function.
if applyFilter {
if ok := filter.Apply(measurement, fields, tags); !ok {
return nil
}
}
for k, v := range fields {
// Validate uint64 and float64 fields
// convert all int & uint types to int64
switch val := v.(type) {
case nil:
// delete nil fields
delete(fields, k)
case uint:
fields[k] = int64(val)
continue
case uint8:
fields[k] = int64(val)
continue
case uint16:
fields[k] = int64(val)
continue
case uint32:
fields[k] = int64(val)
continue
case int:
fields[k] = int64(val)
continue
case int8:
fields[k] = int64(val)
continue
case int16:
fields[k] = int64(val)
continue
case int32:
fields[k] = int64(val)
continue
case uint64:
// InfluxDB does not support writing uint64
if val < uint64(9223372036854775808) {
fields[k] = int64(val)
} else {
fields[k] = int64(9223372036854775807)
}
continue
case float32:
fields[k] = float64(val)
continue
case float64:
// NaNs are invalid values in influxdb, skip measurement
if math.IsNaN(val) || math.IsInf(val, 0) {
log.Printf("D! Measurement [%s] field [%s] has a NaN or Inf "+
"field, skipping",
measurement, k)
delete(fields, k)
continue
}
default:
fields[k] = v
}
}
m, err := metric.New(measurement, tags, fields, t, mType)
if err != nil {
log.Printf("Error adding point [%s]: %s\n", measurement, err.Error())
return nil
}
return m
}

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package models
import (
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/metric"
)
type RunningAggregator struct {
a telegraf.Aggregator
Config *AggregatorConfig
metrics chan telegraf.Metric
periodStart time.Time
periodEnd time.Time
}
func NewRunningAggregator(
a telegraf.Aggregator,
conf *AggregatorConfig,
) *RunningAggregator {
return &RunningAggregator{
a: a,
Config: conf,
metrics: make(chan telegraf.Metric, 100),
}
}
// AggregatorConfig containing configuration parameters for the running
// aggregator plugin.
type AggregatorConfig struct {
Name string
DropOriginal bool
NameOverride string
MeasurementPrefix string
MeasurementSuffix string
Tags map[string]string
Filter Filter
Period time.Duration
Delay time.Duration
}
func (r *RunningAggregator) Name() string {
return "aggregators." + r.Config.Name
}
func (r *RunningAggregator) MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
m := makemetric(
measurement,
fields,
tags,
r.Config.NameOverride,
r.Config.MeasurementPrefix,
r.Config.MeasurementSuffix,
r.Config.Tags,
nil,
r.Config.Filter,
false,
mType,
t,
)
if m != nil {
m.SetAggregate(true)
}
return m
}
// Add applies the given metric to the aggregator.
// Before applying to the plugin, it will run any defined filters on the metric.
// Apply returns true if the original metric should be dropped.
func (r *RunningAggregator) Add(in telegraf.Metric) bool {
if r.Config.Filter.IsActive() {
// check if the aggregator should apply this metric
name := in.Name()
fields := in.Fields()
tags := in.Tags()
t := in.Time()
if ok := r.Config.Filter.Apply(name, fields, tags); !ok {
// aggregator should not apply this metric
return false
}
in, _ = metric.New(name, tags, fields, t)
}
r.metrics <- in
return r.Config.DropOriginal
}
func (r *RunningAggregator) add(in telegraf.Metric) {
r.a.Add(in)
}
func (r *RunningAggregator) push(acc telegraf.Accumulator) {
r.a.Push(acc)
}
func (r *RunningAggregator) reset() {
r.a.Reset()
}
// Run runs the running aggregator, listens for incoming metrics, and waits
// for period ticks to tell it when to push and reset the aggregator.
func (r *RunningAggregator) Run(
acc telegraf.Accumulator,
shutdown chan struct{},
) {
// The start of the period is truncated to the nearest second.
//
// Every metric then gets it's timestamp checked and is dropped if it
// is not within:
//
// start < t < end + truncation + delay
//
// So if we start at now = 00:00.2 with a 10s period and 0.3s delay:
// now = 00:00.2
// start = 00:00
// truncation = 00:00.2
// end = 00:10
// 1st interval: 00:00 - 00:10.5
// 2nd interval: 00:10 - 00:20.5
// etc.
//
now := time.Now()
r.periodStart = now.Truncate(time.Second)
truncation := now.Sub(r.periodStart)
r.periodEnd = r.periodStart.Add(r.Config.Period)
time.Sleep(r.Config.Delay)
periodT := time.NewTicker(r.Config.Period)
defer periodT.Stop()
for {
select {
case <-shutdown:
if len(r.metrics) > 0 {
// wait until metrics are flushed before exiting
continue
}
return
case m := <-r.metrics:
if m.Time().Before(r.periodStart) ||
m.Time().After(r.periodEnd.Add(truncation).Add(r.Config.Delay)) {
// the metric is outside the current aggregation period, so
// skip it.
continue
}
r.add(m)
case <-periodT.C:
r.periodStart = r.periodEnd
r.periodEnd = r.periodStart.Add(r.Config.Period)
r.push(acc)
r.reset()
}
}
}

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package models
import (
"fmt"
"sync"
"sync/atomic"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/assert"
)
func TestAdd(t *testing.T) {
a := &TestAggregator{}
ra := NewRunningAggregator(a, &AggregatorConfig{
Name: "TestRunningAggregator",
Filter: Filter{
NamePass: []string{"*"},
},
Period: time.Millisecond * 500,
})
assert.NoError(t, ra.Config.Filter.Compile())
acc := testutil.Accumulator{}
go ra.Run(&acc, make(chan struct{}))
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now().Add(time.Millisecond*150),
)
assert.False(t, ra.Add(m))
for {
time.Sleep(time.Millisecond)
if atomic.LoadInt64(&a.sum) > 0 {
break
}
}
assert.Equal(t, int64(101), atomic.LoadInt64(&a.sum))
}
func TestAddMetricsOutsideCurrentPeriod(t *testing.T) {
a := &TestAggregator{}
ra := NewRunningAggregator(a, &AggregatorConfig{
Name: "TestRunningAggregator",
Filter: Filter{
NamePass: []string{"*"},
},
Period: time.Millisecond * 500,
})
assert.NoError(t, ra.Config.Filter.Compile())
acc := testutil.Accumulator{}
go ra.Run(&acc, make(chan struct{}))
// metric before current period
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now().Add(-time.Hour),
)
assert.False(t, ra.Add(m))
// metric after current period
m = ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now().Add(time.Hour),
)
assert.False(t, ra.Add(m))
// "now" metric
m = ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now().Add(time.Millisecond*50),
)
assert.False(t, ra.Add(m))
for {
time.Sleep(time.Millisecond)
if atomic.LoadInt64(&a.sum) > 0 {
break
}
}
assert.Equal(t, int64(101), atomic.LoadInt64(&a.sum))
}
func TestAddAndPushOnePeriod(t *testing.T) {
a := &TestAggregator{}
ra := NewRunningAggregator(a, &AggregatorConfig{
Name: "TestRunningAggregator",
Filter: Filter{
NamePass: []string{"*"},
},
Period: time.Millisecond * 500,
})
assert.NoError(t, ra.Config.Filter.Compile())
acc := testutil.Accumulator{}
shutdown := make(chan struct{})
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
ra.Run(&acc, shutdown)
}()
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now().Add(time.Millisecond*100),
)
assert.False(t, ra.Add(m))
for {
time.Sleep(time.Millisecond)
if acc.NMetrics() > 0 {
break
}
}
acc.AssertContainsFields(t, "TestMetric", map[string]interface{}{"sum": int64(101)})
close(shutdown)
wg.Wait()
}
func TestAddDropOriginal(t *testing.T) {
ra := NewRunningAggregator(&TestAggregator{}, &AggregatorConfig{
Name: "TestRunningAggregator",
Filter: Filter{
NamePass: []string{"RI*"},
},
DropOriginal: true,
})
assert.NoError(t, ra.Config.Filter.Compile())
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now(),
)
assert.True(t, ra.Add(m))
// this metric name doesn't match the filter, so Add will return false
m2 := ra.MakeMetric(
"foobar",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now(),
)
assert.False(t, ra.Add(m2))
}
// make an untyped, counter, & gauge metric
func TestMakeMetricA(t *testing.T) {
now := time.Now()
ra := NewRunningAggregator(&TestAggregator{}, &AggregatorConfig{
Name: "TestRunningAggregator",
})
assert.Equal(t, "aggregators.TestRunningAggregator", ra.Name())
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
assert.Equal(
t,
m.Type(),
telegraf.Untyped,
)
m = ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Counter,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
assert.Equal(
t,
m.Type(),
telegraf.Counter,
)
m = ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Gauge,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
assert.Equal(
t,
m.Type(),
telegraf.Gauge,
)
}
type TestAggregator struct {
sum int64
}
func (t *TestAggregator) Description() string { return "" }
func (t *TestAggregator) SampleConfig() string { return "" }
func (t *TestAggregator) Reset() {
atomic.StoreInt64(&t.sum, 0)
}
func (t *TestAggregator) Push(acc telegraf.Accumulator) {
acc.AddFields("TestMetric",
map[string]interface{}{"sum": t.sum},
map[string]string{},
)
}
func (t *TestAggregator) Add(in telegraf.Metric) {
for _, v := range in.Fields() {
if vi, ok := v.(int64); ok {
atomic.AddInt64(&t.sum, vi)
}
}
}

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package models
import (
"fmt"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/selfstat"
)
var GlobalMetricsGathered = selfstat.Register("agent", "metrics_gathered", map[string]string{})
type RunningInput struct {
Input telegraf.Input
Config *InputConfig
trace bool
defaultTags map[string]string
MetricsGathered selfstat.Stat
}
func NewRunningInput(
input telegraf.Input,
config *InputConfig,
) *RunningInput {
return &RunningInput{
Input: input,
Config: config,
MetricsGathered: selfstat.Register(
"gather",
"metrics_gathered",
map[string]string{"input": config.Name},
),
}
}
// InputConfig containing a name, interval, and filter
type InputConfig struct {
Name string
NameOverride string
MeasurementPrefix string
MeasurementSuffix string
Tags map[string]string
Filter Filter
Interval time.Duration
}
func (r *RunningInput) Name() string {
return "inputs." + r.Config.Name
}
// MakeMetric either returns a metric, or returns nil if the metric doesn't
// need to be created (because of filtering, an error, etc.)
func (r *RunningInput) MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
m := makemetric(
measurement,
fields,
tags,
r.Config.NameOverride,
r.Config.MeasurementPrefix,
r.Config.MeasurementSuffix,
r.Config.Tags,
r.defaultTags,
r.Config.Filter,
true,
mType,
t,
)
if r.trace && m != nil {
fmt.Print("> " + m.String())
}
r.MetricsGathered.Incr(1)
GlobalMetricsGathered.Incr(1)
return m
}
func (r *RunningInput) Trace() bool {
return r.trace
}
func (r *RunningInput) SetTrace(trace bool) {
r.trace = trace
}
func (r *RunningInput) SetDefaultTags(tags map[string]string) {
r.defaultTags = tags
}

View File

@ -0,0 +1,339 @@
package models
import (
"fmt"
"math"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/stretchr/testify/assert"
)
func TestMakeMetricNoFields(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
})
m := ri.MakeMetric(
"RITest",
map[string]interface{}{},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Nil(t, m)
}
// nil fields should get dropped
func TestMakeMetricNilFields(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
})
m := ri.MakeMetric(
"RITest",
map[string]interface{}{
"value": int(101),
"nil": nil,
},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
}
// make an untyped, counter, & gauge metric
func TestMakeMetric(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
})
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
assert.Equal(t, "inputs.TestRunningInput", ri.Name())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
assert.Equal(
t,
m.Type(),
telegraf.Untyped,
)
m = ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Counter,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
assert.Equal(
t,
m.Type(),
telegraf.Counter,
)
m = ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Gauge,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
assert.Equal(
t,
m.Type(),
telegraf.Gauge,
)
}
func TestMakeMetricWithPluginTags(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
Tags: map[string]string{
"foo": "bar",
},
})
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
nil,
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest,foo=bar value=101i %d\n", now.UnixNano()),
m.String(),
)
}
func TestMakeMetricFilteredOut(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
Tags: map[string]string{
"foo": "bar",
},
Filter: Filter{NamePass: []string{"foobar"}},
})
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
assert.NoError(t, ri.Config.Filter.Compile())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
nil,
telegraf.Untyped,
now,
)
assert.Nil(t, m)
}
func TestMakeMetricWithDaemonTags(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
})
ri.SetDefaultTags(map[string]string{
"foo": "bar",
})
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest,foo=bar value=101i %d\n", now.UnixNano()),
m.String(),
)
}
// make an untyped, counter, & gauge metric
func TestMakeMetricInfFields(t *testing.T) {
inf := math.Inf(1)
ninf := math.Inf(-1)
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
})
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{
"value": int(101),
"inf": inf,
"ninf": ninf,
},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
}
func TestMakeMetricAllFieldTypes(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
})
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{
"a": int(10),
"b": int8(10),
"c": int16(10),
"d": int32(10),
"e": uint(10),
"f": uint8(10),
"g": uint16(10),
"h": uint32(10),
"i": uint64(10),
"j": float32(10),
"k": uint64(9223372036854775810),
"l": "foobar",
"m": true,
},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Contains(t, m.String(), "a=10i")
assert.Contains(t, m.String(), "b=10i")
assert.Contains(t, m.String(), "c=10i")
assert.Contains(t, m.String(), "d=10i")
assert.Contains(t, m.String(), "e=10i")
assert.Contains(t, m.String(), "f=10i")
assert.Contains(t, m.String(), "g=10i")
assert.Contains(t, m.String(), "h=10i")
assert.Contains(t, m.String(), "i=10i")
assert.Contains(t, m.String(), "j=10")
assert.NotContains(t, m.String(), "j=10i")
assert.Contains(t, m.String(), "k=9223372036854775807i")
assert.Contains(t, m.String(), "l=\"foobar\"")
assert.Contains(t, m.String(), "m=true")
}
func TestMakeMetricNameOverride(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
NameOverride: "foobar",
})
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("foobar value=101i %d\n", now.UnixNano()),
m.String(),
)
}
func TestMakeMetricNamePrefix(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
MeasurementPrefix: "foobar_",
})
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("foobar_RITest value=101i %d\n", now.UnixNano()),
m.String(),
)
}
func TestMakeMetricNameSuffix(t *testing.T) {
now := time.Now()
ri := NewRunningInput(&testInput{}, &InputConfig{
Name: "TestRunningInput",
MeasurementSuffix: "_foobar",
})
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest_foobar value=101i %d\n", now.UnixNano()),
m.String(),
)
}
type testInput struct{}
func (t *testInput) Description() string { return "" }
func (t *testInput) SampleConfig() string { return "" }
func (t *testInput) Gather(acc telegraf.Accumulator) error { return nil }

View File

@ -0,0 +1,188 @@
package models
import (
"log"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal/buffer"
"github.com/influxdata/telegraf/metric"
"github.com/influxdata/telegraf/selfstat"
)
const (
// Default size of metrics batch size.
DEFAULT_METRIC_BATCH_SIZE = 1000
// Default number of metrics kept. It should be a multiple of batch size.
DEFAULT_METRIC_BUFFER_LIMIT = 10000
)
// RunningOutput contains the output configuration
type RunningOutput struct {
Name string
Output telegraf.Output
Config *OutputConfig
MetricBufferLimit int
MetricBatchSize int
MetricsFiltered selfstat.Stat
MetricsWritten selfstat.Stat
BufferSize selfstat.Stat
BufferLimit selfstat.Stat
WriteTime selfstat.Stat
metrics *buffer.Buffer
failMetrics *buffer.Buffer
}
func NewRunningOutput(
name string,
output telegraf.Output,
conf *OutputConfig,
batchSize int,
bufferLimit int,
) *RunningOutput {
if bufferLimit == 0 {
bufferLimit = DEFAULT_METRIC_BUFFER_LIMIT
}
if batchSize == 0 {
batchSize = DEFAULT_METRIC_BATCH_SIZE
}
ro := &RunningOutput{
Name: name,
metrics: buffer.NewBuffer(batchSize),
failMetrics: buffer.NewBuffer(bufferLimit),
Output: output,
Config: conf,
MetricBufferLimit: bufferLimit,
MetricBatchSize: batchSize,
MetricsWritten: selfstat.Register(
"write",
"metrics_written",
map[string]string{"output": name},
),
MetricsFiltered: selfstat.Register(
"write",
"metrics_filtered",
map[string]string{"output": name},
),
BufferSize: selfstat.Register(
"write",
"buffer_size",
map[string]string{"output": name},
),
BufferLimit: selfstat.Register(
"write",
"buffer_limit",
map[string]string{"output": name},
),
WriteTime: selfstat.RegisterTiming(
"write",
"write_time_ns",
map[string]string{"output": name},
),
}
ro.BufferLimit.Incr(int64(ro.MetricBufferLimit))
return ro
}
// AddMetric adds a metric to the output. This function can also write cached
// points if FlushBufferWhenFull is true.
func (ro *RunningOutput) AddMetric(m telegraf.Metric) {
if m == nil {
return
}
// Filter any tagexclude/taginclude parameters before adding metric
if ro.Config.Filter.IsActive() {
// In order to filter out tags, we need to create a new metric, since
// metrics are immutable once created.
name := m.Name()
tags := m.Tags()
fields := m.Fields()
t := m.Time()
if ok := ro.Config.Filter.Apply(name, fields, tags); !ok {
ro.MetricsFiltered.Incr(1)
return
}
// error is not possible if creating from another metric, so ignore.
m, _ = metric.New(name, tags, fields, t)
}
ro.metrics.Add(m)
if ro.metrics.Len() == ro.MetricBatchSize {
batch := ro.metrics.Batch(ro.MetricBatchSize)
err := ro.write(batch)
if err != nil {
ro.failMetrics.Add(batch...)
}
}
}
// Write writes all cached points to this output.
func (ro *RunningOutput) Write() error {
nFails, nMetrics := ro.failMetrics.Len(), ro.metrics.Len()
ro.BufferSize.Set(int64(nFails + nMetrics))
log.Printf("D! Output [%s] buffer fullness: %d / %d metrics. ",
ro.Name, nFails+nMetrics, ro.MetricBufferLimit)
var err error
if !ro.failMetrics.IsEmpty() {
// how many batches of failed writes we need to write.
nBatches := nFails/ro.MetricBatchSize + 1
batchSize := ro.MetricBatchSize
for i := 0; i < nBatches; i++ {
// If it's the last batch, only grab the metrics that have not had
// a write attempt already (this is primarily to preserve order).
if i == nBatches-1 {
batchSize = nFails % ro.MetricBatchSize
}
batch := ro.failMetrics.Batch(batchSize)
// If we've already failed previous writes, don't bother trying to
// write to this output again. We are not exiting the loop just so
// that we can rotate the metrics to preserve order.
if err == nil {
err = ro.write(batch)
}
if err != nil {
ro.failMetrics.Add(batch...)
}
}
}
batch := ro.metrics.Batch(ro.MetricBatchSize)
// see comment above about not trying to write to an already failed output.
// if ro.failMetrics is empty then err will always be nil at this point.
if err == nil {
err = ro.write(batch)
}
if err != nil {
ro.failMetrics.Add(batch...)
return err
}
return nil
}
func (ro *RunningOutput) write(metrics []telegraf.Metric) error {
nMetrics := len(metrics)
if nMetrics == 0 {
return nil
}
start := time.Now()
err := ro.Output.Write(metrics)
elapsed := time.Since(start)
if err == nil {
log.Printf("D! Output [%s] wrote batch of %d metrics in %s\n",
ro.Name, nMetrics, elapsed)
ro.MetricsWritten.Incr(int64(nMetrics))
ro.WriteTime.Incr(elapsed.Nanoseconds())
}
return err
}
// OutputConfig containing name and filter
type OutputConfig struct {
Name string
Filter Filter
}

View File

@ -4,11 +4,10 @@ import (
"fmt"
"sync"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/selfstat"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
@ -29,14 +28,6 @@ var next5 = []telegraf.Metric{
testutil.TestMetric(101, "metric10"),
}
func reverse(metrics []telegraf.Metric) []telegraf.Metric {
result := make([]telegraf.Metric, 0, len(metrics))
for i := len(metrics) - 1; i >= 0; i-- {
result = append(result, metrics[i])
}
return result
}
// Benchmark adding metrics.
func BenchmarkRunningOutputAddWrite(b *testing.B) {
conf := &OutputConfig{
@ -84,6 +75,23 @@ func BenchmarkRunningOutputAddFailWrites(b *testing.B) {
}
}
func TestAddingNilMetric(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{},
}
m := &mockOutput{}
ro := NewRunningOutput("test", m, conf, 1000, 10000)
ro.AddMetric(nil)
ro.AddMetric(nil)
ro.AddMetric(nil)
err := ro.Write()
assert.NoError(t, err)
assert.Len(t, m.Metrics(), 0)
}
// Test that NameDrop filters ger properly applied.
func TestRunningOutput_DropFilter(t *testing.T) {
conf := &OutputConfig{
@ -218,60 +226,6 @@ func TestRunningOutput_TagIncludeMatch(t *testing.T) {
assert.Len(t, m.Metrics()[0].Tags(), 1)
}
// Test that measurement name overriding correctly
func TestRunningOutput_NameOverride(t *testing.T) {
conf := &OutputConfig{
NameOverride: "new_metric_name",
}
m := &mockOutput{}
ro := NewRunningOutput("test", m, conf, 1000, 10000)
ro.AddMetric(testutil.TestMetric(101, "metric1"))
assert.Len(t, m.Metrics(), 0)
err := ro.Write()
assert.NoError(t, err)
assert.Len(t, m.Metrics(), 1)
assert.Equal(t, "new_metric_name", m.Metrics()[0].Name())
}
// Test that measurement name prefix is added correctly
func TestRunningOutput_NamePrefix(t *testing.T) {
conf := &OutputConfig{
NamePrefix: "prefix_",
}
m := &mockOutput{}
ro := NewRunningOutput("test", m, conf, 1000, 10000)
ro.AddMetric(testutil.TestMetric(101, "metric1"))
assert.Len(t, m.Metrics(), 0)
err := ro.Write()
assert.NoError(t, err)
assert.Len(t, m.Metrics(), 1)
assert.Equal(t, "prefix_metric1", m.Metrics()[0].Name())
}
// Test that measurement name suffix is added correctly
func TestRunningOutput_NameSuffix(t *testing.T) {
conf := &OutputConfig{
NameSuffix: "_suffix",
}
m := &mockOutput{}
ro := NewRunningOutput("test", m, conf, 1000, 10000)
ro.AddMetric(testutil.TestMetric(101, "metric1"))
assert.Len(t, m.Metrics(), 0)
err := ro.Write()
assert.NoError(t, err)
assert.Len(t, m.Metrics(), 1)
assert.Equal(t, "metric1_suffix", m.Metrics()[0].Name())
}
// Test that we can write metrics with simple default setup.
func TestRunningOutputDefault(t *testing.T) {
conf := &OutputConfig{
@ -294,6 +248,56 @@ func TestRunningOutputDefault(t *testing.T) {
assert.Len(t, m.Metrics(), 10)
}
// Test that running output doesn't flush until it's full when
// FlushBufferWhenFull is set.
func TestRunningOutputFlushWhenFull(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{},
}
m := &mockOutput{}
ro := NewRunningOutput("test", m, conf, 6, 10)
// Fill buffer to 1 under limit
for _, metric := range first5 {
ro.AddMetric(metric)
}
// no flush yet
assert.Len(t, m.Metrics(), 0)
// add one more metric
ro.AddMetric(next5[0])
// now it flushed
assert.Len(t, m.Metrics(), 6)
// add one more metric and write it manually
ro.AddMetric(next5[1])
err := ro.Write()
assert.NoError(t, err)
assert.Len(t, m.Metrics(), 7)
}
// Test that running output doesn't flush until it's full when
// FlushBufferWhenFull is set, twice.
func TestRunningOutputMultiFlushWhenFull(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{},
}
m := &mockOutput{}
ro := NewRunningOutput("test", m, conf, 4, 12)
// Fill buffer past limit twive
for _, metric := range first5 {
ro.AddMetric(metric)
}
for _, metric := range next5 {
ro.AddMetric(metric)
}
// flushed twice
assert.Len(t, m.Metrics(), 8)
}
func TestRunningOutputWriteFail(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{},
@ -360,7 +364,7 @@ func TestRunningOutputWriteFailOrder(t *testing.T) {
// Verify that 10 metrics were written
assert.Len(t, m.Metrics(), 10)
// Verify that they are in order
expected := append(reverse(next5), reverse(first5)...)
expected := append(first5, next5...)
assert.Equal(t, expected, m.Metrics())
}
@ -418,17 +422,24 @@ func TestRunningOutputWriteFailOrder2(t *testing.T) {
err = ro.Write()
require.NoError(t, err)
// Verify that 20 metrics were written
// Verify that 10 metrics were written
assert.Len(t, m.Metrics(), 20)
// Verify that they are in order
expected := append(reverse(next5), reverse(first5)...)
expected = append(expected, reverse(next5)...)
expected = append(expected, reverse(first5)...)
expected := append(first5, next5...)
expected = append(expected, first5...)
expected = append(expected, next5...)
assert.Equal(t, expected, m.Metrics())
}
// Verify that the order of points is preserved when there is a remainder
// of points for the batch.
//
// ie, with a batch size of 5:
//
// 1 2 3 4 5 6 <-- order, failed points
// 6 1 2 3 4 5 <-- order, after 1st write failure (1 2 3 4 5 was batch)
// 1 2 3 4 5 6 <-- order, after 2nd write failure, (6 was batch)
//
func TestRunningOutputWriteFailOrder3(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{},
@ -464,54 +475,10 @@ func TestRunningOutputWriteFailOrder3(t *testing.T) {
// Verify that 6 metrics were written
assert.Len(t, m.Metrics(), 6)
// Verify that they are in order
expected := []telegraf.Metric{next5[0], first5[4], first5[3], first5[2], first5[1], first5[0]}
expected := append(first5, next5[0])
assert.Equal(t, expected, m.Metrics())
}
func TestInternalMetrics(t *testing.T) {
_ = NewRunningOutput(
"test_internal",
&mockOutput{},
&OutputConfig{
Filter: Filter{},
Name: "test_name",
Alias: "test_alias",
},
5,
10)
expected := []telegraf.Metric{
testutil.MustMetric(
"internal_write",
map[string]string{
"output": "test_name",
"alias": "test_alias",
},
map[string]interface{}{
"buffer_limit": 10,
"buffer_size": 0,
"errors": 0,
"metrics_added": 0,
"metrics_dropped": 0,
"metrics_filtered": 0,
"metrics_written": 0,
"write_time_ns": 0,
},
time.Unix(0, 0),
),
}
var actual []telegraf.Metric
for _, m := range selfstat.Metrics() {
output, _ := m.GetTag("output")
if m.Name() == "internal_write" && output == "test_name" {
actual = append(actual, m)
}
}
testutil.RequireMetricsEqual(t, expected, actual, testutil.IgnoreTime())
}
type mockOutput struct {
sync.Mutex

View File

@ -0,0 +1,44 @@
package models
import (
"github.com/influxdata/telegraf"
)
type RunningProcessor struct {
Name string
Processor telegraf.Processor
Config *ProcessorConfig
}
type RunningProcessors []*RunningProcessor
func (rp RunningProcessors) Len() int { return len(rp) }
func (rp RunningProcessors) Swap(i, j int) { rp[i], rp[j] = rp[j], rp[i] }
func (rp RunningProcessors) Less(i, j int) bool { return rp[i].Config.Order < rp[j].Config.Order }
// FilterConfig containing a name and filter
type ProcessorConfig struct {
Name string
Order int64
Filter Filter
}
func (rp *RunningProcessor) Apply(in ...telegraf.Metric) []telegraf.Metric {
ret := []telegraf.Metric{}
for _, metric := range in {
if rp.Config.Filter.IsActive() {
// check if the filter should be applied to this metric
if ok := rp.Config.Filter.Apply(metric.Name(), metric.Fields(), metric.Tags()); !ok {
// this means filter should not be applied
ret = append(ret, metric)
continue
}
}
// This metric should pass through the filter, so call the filter Apply
// function and append results to the output slice.
ret = append(ret, rp.Processor.Apply(metric)...)
}
return ret
}

View File

@ -0,0 +1,117 @@
package models
import (
"testing"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/assert"
)
type TestProcessor struct {
}
func (f *TestProcessor) SampleConfig() string { return "" }
func (f *TestProcessor) Description() string { return "" }
// Apply renames:
// "foo" to "fuz"
// "bar" to "baz"
// And it also drops measurements named "dropme"
func (f *TestProcessor) Apply(in ...telegraf.Metric) []telegraf.Metric {
out := make([]telegraf.Metric, 0)
for _, m := range in {
switch m.Name() {
case "foo":
out = append(out, testutil.TestMetric(1, "fuz"))
case "bar":
out = append(out, testutil.TestMetric(1, "baz"))
case "dropme":
// drop the metric!
default:
out = append(out, m)
}
}
return out
}
func NewTestRunningProcessor() *RunningProcessor {
out := &RunningProcessor{
Name: "test",
Processor: &TestProcessor{},
Config: &ProcessorConfig{Filter: Filter{}},
}
return out
}
func TestRunningProcessor(t *testing.T) {
inmetrics := []telegraf.Metric{
testutil.TestMetric(1, "foo"),
testutil.TestMetric(1, "bar"),
testutil.TestMetric(1, "baz"),
}
expectedNames := []string{
"fuz",
"baz",
"baz",
}
rfp := NewTestRunningProcessor()
filteredMetrics := rfp.Apply(inmetrics...)
actualNames := []string{
filteredMetrics[0].Name(),
filteredMetrics[1].Name(),
filteredMetrics[2].Name(),
}
assert.Equal(t, expectedNames, actualNames)
}
func TestRunningProcessor_WithNameDrop(t *testing.T) {
inmetrics := []telegraf.Metric{
testutil.TestMetric(1, "foo"),
testutil.TestMetric(1, "bar"),
testutil.TestMetric(1, "baz"),
}
expectedNames := []string{
"foo",
"baz",
"baz",
}
rfp := NewTestRunningProcessor()
rfp.Config.Filter.NameDrop = []string{"foo"}
assert.NoError(t, rfp.Config.Filter.Compile())
filteredMetrics := rfp.Apply(inmetrics...)
actualNames := []string{
filteredMetrics[0].Name(),
filteredMetrics[1].Name(),
filteredMetrics[2].Name(),
}
assert.Equal(t, expectedNames, actualNames)
}
func TestRunningProcessor_DroppedMetric(t *testing.T) {
inmetrics := []telegraf.Metric{
testutil.TestMetric(1, "dropme"),
testutil.TestMetric(1, "foo"),
testutil.TestMetric(1, "bar"),
}
expectedNames := []string{
"fuz",
"baz",
}
rfp := NewTestRunningProcessor()
filteredMetrics := rfp.Apply(inmetrics...)
actualNames := []string{
filteredMetrics[0].Name(),
filteredMetrics[1].Name(),
}
assert.Equal(t, expectedNames, actualNames)
}

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