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Merge latest version from github

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dom 2020-06-06 17:21:53 +02:00
parent 79e2754c89 62302a0f37
commit 28cf69cc4b
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201
.circleci/config.yml
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@ -2,91 +2,214 @@
defaults:
defaults: &defaults
working_directory: '/go/src/github.com/influxdata/telegraf'
go-1_9: &go-1_9
environment:
GOFLAGS: -p=8
go-1_13: &go-1_13
docker:
- image: 'circleci/golang:1.9.7'
go-1_10: &go-1_10
- image: 'quay.io/influxdb/telegraf-ci:1.13.11'
go-1_14: &go-1_14
docker:
- image: 'circleci/golang:1.10.3'
- 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_10 ]
<<: [ *defaults, *go-1_14 ]
steps:
- checkout
- restore_cache:
key: vendor-{{ checksum "Gopkg.lock" }}
key: go-mod-v1-{{ checksum "go.sum" }}
- run: 'make deps'
- run: 'make tidy'
- save_cache:
name: 'vendored deps'
key: vendor-{{ checksum "Gopkg.lock" }}
name: 'go module cache'
key: go-mod-v1-{{ checksum "go.sum" }}
paths:
- './vendor'
- '/go/pkg/mod'
- persist_to_workspace:
root: '/go/src'
root: '/go'
paths:
- '*'
test-go-1.9:
<<: [ *defaults, *go-1_9 ]
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/src'
- run: 'make test-ci'
test-go-1.10:
<<: [ *defaults, *go-1_10 ]
at: '/go'
- run: 'make'
- run: 'make test'
test-go-1.13-386:
<<: [ *defaults, *go-1_13 ]
steps:
- attach_workspace:
at: '/go/src'
- run: 'make test-ci'
- run: 'GOARCH=386 make test-ci'
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_10 ]
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go/src'
- run: './scripts/release.sh'
at: '/go'
- run: 'make package-release'
- store_artifacts:
path: './artifacts'
destination: '.'
path: './build'
destination: 'build'
nightly:
<<: [ *defaults, *go-1_10 ]
<<: [ *defaults, *go-1_14 ]
steps:
- attach_workspace:
at: '/go/src'
- run: './scripts/release.sh'
at: '/go'
- run: 'make package-nightly'
- store_artifacts:
path: './artifacts'
destination: '.'
path: './build'
destination: 'build'
workflows:
version: 2
build_and_release:
check:
jobs:
- 'deps'
- 'test-go-1.9':
- 'macdeps':
filters:
tags:
only: /.*/
- 'deps':
filters:
tags:
only: /.*/
- 'test-go-1.13':
requires:
- 'deps'
- 'test-go-1.10':
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-1.9'
- 'test-go-1.10'
- '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-1.9':
- 'test-go-1.13':
requires:
- 'deps'
- 'test-go-1.10':
- 'test-go-1.13-386':
requires:
- 'deps'
- 'test-go-1.14':
requires:
- 'deps'
- 'test-go-1.14-386':
requires:
- 'deps'
- 'nightly':
requires:
- 'test-go-1.9'
- 'test-go-1.10'
- 'test-go-1.13'
- 'test-go-1.13-386'
- 'test-go-1.14'
- 'test-go-1.14-386'
triggers:
- schedule:
cron: "0 7 * * *"

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.gitattributes vendored
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@ -1,4 +1,5 @@
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

25
.github/ISSUE_TEMPLATE/Bug_report.md vendored
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@ -3,22 +3,43 @@ 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 name, and other relevant details]
<!-- 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.]
<!-- Include gist of relevant config, logs, etc. -->

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.github/ISSUE_TEMPLATE/Feature_request.md vendored
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@ -14,4 +14,4 @@ Opening a feature request kicks off a discussion.
### Desired behavior:
### Use case: [Why is this important (helps with prioritizing requests)]
### Use case: <!-- [Why is this important (helps with prioritizing requests)] -->

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CHANGELOG.md
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514
CONTRIBUTING.md
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@ -1,491 +1,62 @@
## Steps for Contributing:
### Contributing
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).
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][].
## GoDoc
#### 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
Public interfaces for inputs, outputs, processors, aggregators, metrics,
and the accumulator can be found on the GoDoc
and the accumulator can be found in the GoDoc:
[![GoDoc](https://godoc.org/github.com/influxdata/telegraf?status.svg)](https://godoc.org/github.com/influxdata/telegraf)
## Sign the CLA
### Common development tasks
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)
**Adding a dependency:**
## Adding a dependency
Telegraf uses Go modules. Assuming you can already build the project, run this in the telegraf directory:
Assuming you can already build the project, run these in the telegraf directory:
1. `go get github.com/[dependency]/[new-package]`
1. `go get -u github.com/golang/dep/cmd/dep`
2. `dep ensure`
3. `dep ensure -add github.com/[dependency]/[new-package]`
## 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`](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 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 `
## Indicate if everything is fine
ok = true
`
}
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{} })
}
```
### Input Plugin 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.
## Adding Typed Metrics
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/).
## 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"
```
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)
}
```
And you can view the code
[here.](https://github.com/influxdata/telegraf/blob/henrypfhu-master/plugins/parsers/registry.go)
## 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.
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
[`telegraf.ServiceInput`](https://godoc.org/github.com/influxdata/telegraf#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 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 `
ok = true
`
}
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 the output of `telegraf 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 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
**Unit Tests:**
Before opening a pull request you should run the linter checks and
the short tests.
### Execute linter
```
make check
make test
```
execute `make lint`
**Execute integration tests:**
### Execute short tests
execute `make test`
### Execute integration tests
(Optional)
Running the integration tests requires several docker containers to be
running. You can start the containers with:
```
make docker-run
docker-compose up
```
And run the full test suite with:
@ -494,3 +65,12 @@ make test-all
```
Use `make docker-kill` to stop the containers.
[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

9
EXTERNAL_PLUGINS.md Normal file
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@ -0,0 +1,9 @@
# 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

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"internal/socket",
"internal/socks",
"internal/timeseries",
"ipv4",
"ipv6",
"proxy",
"trace",
"websocket"
]
revision = "db08ff08e8622530d9ed3a0e8ac279f6d4c02196"
[[projects]]
branch = "master"
name = "golang.org/x/sys"
packages = [
"unix",
"windows",
"windows/registry",
"windows/svc",
"windows/svc/debug",
"windows/svc/eventlog",
"windows/svc/mgr"
]
revision = "6c888cc515d3ed83fc103cf1d84468aad274b0a7"
[[projects]]
name = "golang.org/x/text"
packages = [
"collate",
"collate/build",
"encoding",
"encoding/charmap",
"encoding/htmlindex",
"encoding/internal",
"encoding/internal/identifier",
"encoding/japanese",
"encoding/korean",
"encoding/simplifiedchinese",
"encoding/traditionalchinese",
"encoding/unicode",
"internal/colltab",
"internal/gen",
"internal/tag",
"internal/triegen",
"internal/ucd",
"internal/utf8internal",
"language",
"runes",
"secure/bidirule",
"transform",
"unicode/bidi",
"unicode/cldr",
"unicode/norm",
"unicode/rangetable"
]
revision = "f21a4dfb5e38f5895301dc265a8def02365cc3d0"
version = "v0.3.0"
[[projects]]
name = "google.golang.org/appengine"
packages = ["cloudsql"]
revision = "b1f26356af11148e710935ed1ac8a7f5702c7612"
version = "v1.1.0"
[[projects]]
branch = "master"
name = "google.golang.org/genproto"
packages = ["googleapis/rpc/status"]
revision = "32ee49c4dd805befd833990acba36cb75042378c"
[[projects]]
name = "google.golang.org/grpc"
packages = [
".",
"balancer",
"balancer/base",
"balancer/roundrobin",
"channelz",
"codes",
"connectivity",
"credentials",
"encoding",
"encoding/proto",
"grpclb/grpc_lb_v1/messages",
"grpclog",
"internal",
"keepalive",
"metadata",
"naming",
"peer",
"resolver",
"resolver/dns",
"resolver/passthrough",
"stats",
"status",
"tap",
"transport"
]
revision = "7a6a684ca69eb4cae85ad0a484f2e531598c047b"
version = "v1.12.2"
[[projects]]
name = "gopkg.in/alecthomas/kingpin.v2"
packages = ["."]
revision = "947dcec5ba9c011838740e680966fd7087a71d0d"
version = "v2.2.6"
[[projects]]
name = "gopkg.in/asn1-ber.v1"
packages = ["."]
revision = "379148ca0225df7a432012b8df0355c2a2063ac0"
version = "v1.2"
[[projects]]
name = "gopkg.in/fatih/pool.v2"
packages = ["."]
revision = "010e0b745d12eaf8426c95f9c3924d81dd0b668f"
version = "v2.0.0"
[[projects]]
name = "gopkg.in/fsnotify.v1"
packages = ["."]
revision = "c2828203cd70a50dcccfb2761f8b1f8ceef9a8e9"
source = "https://github.com/fsnotify/fsnotify/archive/v1.4.7.tar.gz"
version = "v1.4.7"
[[projects]]
name = "gopkg.in/gorethink/gorethink.v3"
packages = [
".",
"encoding",
"ql2",
"types"
]
revision = "7f5bdfd858bb064d80559b2a32b86669c5de5d3b"
version = "v3.0.5"
[[projects]]
name = "gopkg.in/ldap.v2"
packages = ["."]
revision = "bb7a9ca6e4fbc2129e3db588a34bc970ffe811a9"
version = "v2.5.1"
[[projects]]
branch = "v2"
name = "gopkg.in/mgo.v2"
packages = [
".",
"bson",
"internal/json",
"internal/sasl",
"internal/scram"
]
revision = "3f83fa5005286a7fe593b055f0d7771a7dce4655"
[[projects]]
name = "gopkg.in/olivere/elastic.v5"
packages = [
".",
"config",
"uritemplates"
]
revision = "b708306d715bea9b983685e94ab4602cdc9f988b"
version = "v5.0.69"
[[projects]]
branch = "v1"
name = "gopkg.in/tomb.v1"
packages = ["."]
revision = "dd632973f1e7218eb1089048e0798ec9ae7dceb8"
[[projects]]
name = "gopkg.in/yaml.v2"
packages = ["."]
revision = "5420a8b6744d3b0345ab293f6fcba19c978f1183"
version = "v2.2.1"
[solve-meta]
analyzer-name = "dep"
analyzer-version = 1
inputs-digest = "024194b983d91b9500fe97e0aa0ddb5fe725030cb51ddfb034e386cae1098370"
solver-name = "gps-cdcl"
solver-version = 1

243
Gopkg.toml
View File

@ -1,243 +0,0 @@
[[constraint]]
name = "collectd.org"
version = "0.3.0"
[[constraint]]
name = "github.com/aerospike/aerospike-client-go"
version = "^1.33.0"
[[constraint]]
name = "github.com/amir/raidman"
branch = "master"
[[constraint]]
name = "github.com/apache/thrift"
branch = "master"
[[constraint]]
name = "github.com/aws/aws-sdk-go"
version = "1.14.8"
# version = "1.8.39"
[[constraint]]
name = "github.com/bsm/sarama-cluster"
version = "2.1.13"
# version = "2.1.10"
[[constraint]]
name = "github.com/couchbase/go-couchbase"
branch = "master"
[[constraint]]
name = "github.com/dgrijalva/jwt-go"
version = "3.2.0"
# version = "3.1.0"
[[constraint]]
name = "github.com/docker/docker"
version = "~17.03.2-ce"
[[constraint]]
name = "github.com/docker/go-connections"
version = "0.3.0"
# version = "0.2.1"
[[constraint]]
name = "github.com/eclipse/paho.mqtt.golang"
version = "~1.1.1"
# version = "1.1.0"
[[constraint]]
name = "github.com/go-sql-driver/mysql"
version = "1.4.0"
# version = "1.3.0"
[[constraint]]
name = "github.com/gobwas/glob"
version = "0.2.3"
# version = "0.2.2"
[[constraint]]
name = "github.com/golang/protobuf"
version = "1.1.0"
# version = "1.0.0"
[[constraint]]
name = "github.com/google/go-cmp"
version = "0.2.0"
# version = "0.1.0"
[[constraint]]
name = "github.com/gorilla/mux"
version = "1.6.2"
# version = "1.6.1"
[[constraint]]
name = "github.com/go-redis/redis"
version = "6.12.0"
[[constraint]]
name = "github.com/hashicorp/consul"
version = "1.1.0"
[[constraint]]
name = "github.com/influxdata/go-syslog"
version = "1.0.1"
[[constraint]]
name = "github.com/influxdata/tail"
branch = "master"
[[constraint]]
name = "github.com/influxdata/toml"
branch = "master"
[[constraint]]
name = "github.com/influxdata/wlog"
branch = "master"
[[constraint]]
name = "github.com/jackc/pgx"
version = "3.1.0"
[[constraint]]
name = "github.com/kardianos/service"
branch = "master"
[[constraint]]
name = "github.com/kballard/go-shellquote"
branch = "master"
[[constraint]]
name = "github.com/matttproud/golang_protobuf_extensions"
version = "1.0.1"
[[constraint]]
name = "github.com/Microsoft/ApplicationInsights-Go"
branch = "master"
[[constraint]]
name = "github.com/miekg/dns"
version = "1.0.8"
# version = "1.0.0"
[[constraint]]
name = "github.com/multiplay/go-ts3"
version = "1.0.0"
[[constraint]]
name = "github.com/nats-io/gnatsd"
version = "1.1.0"
# version = "1.0.4"
[[constraint]]
name = "github.com/nats-io/go-nats"
version = "1.5.0"
# version = "1.3.0"
[[constraint]]
name = "github.com/nsqio/go-nsq"
version = "1.0.7"
[[constraint]]
name = "github.com/openzipkin/zipkin-go-opentracing"
version = "0.3.4"
# version = "0.3.0"
[[constraint]]
name = "github.com/prometheus/client_golang"
version = "0.8.0"
[[constraint]]
name = "github.com/prometheus/client_model"
branch = "master"
[[constraint]]
name = "github.com/prometheus/common"
branch = "master"
[[constraint]]
name = "github.com/satori/go.uuid"
version = "1.2.0"
[[constraint]]
name = "github.com/shirou/gopsutil"
version = "2.18.05"
# version = "2.18.04"
[[constraint]]
name = "github.com/Shopify/sarama"
version = "1.17.0"
# version = "1.15.0"
[[constraint]]
name = "github.com/soniah/gosnmp"
branch = "master"
[[constraint]]
name = "github.com/StackExchange/wmi"
version = "1.0.0"
[[constraint]]
name = "github.com/streadway/amqp"
branch = "master"
[[constraint]]
name = "github.com/stretchr/testify"
version = "1.2.2"
# version = "1.2.1"
[[constraint]]
name = "github.com/tidwall/gjson"
version = "1.1.1"
# version = "1.0.0"
[[constraint]]
name = "github.com/vjeantet/grok"
version = "1.0.0"
[[constraint]]
name = "github.com/wvanbergen/kafka"
branch = "master"
[[constraint]]
name = "github.com/zensqlmonitor/go-mssqldb"
branch = "master"
[[constraint]]
name = "golang.org/x/net"
branch = "master"
[[constraint]]
name = "golang.org/x/sys"
branch = "master"
[[constraint]]
name = "google.golang.org/grpc"
version = "1.12.2"
# version = "1.8.0"
[[constraint]]
name = "gopkg.in/gorethink/gorethink.v3"
version = "3.0.5"
[[constraint]]
name = "gopkg.in/ldap.v2"
version = "2.5.1"
[[constraint]]
name = "gopkg.in/mgo.v2"
branch = "v2"
[[constraint]]
name = "gopkg.in/olivere/elastic.v5"
version = "^5.0.69"
# version = "^6.1.23"
[[constraint]]
name = "gopkg.in/yaml.v2"
version = "^2.2.1"
[[override]]
source = "https://github.com/fsnotify/fsnotify/archive/v1.4.7.tar.gz"
name = "gopkg.in/fsnotify.v1"

2
LICENSE
View File

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

87
Makefile
View File

@ -1,15 +1,23 @@
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
VERSION := $(shell git describe --exact-match --tags 2>/dev/null)
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 $(filter-out plugins/parsers/influx/machine.go, $(GOFILES)))
GOFMT ?= $(shell gofmt -l -s $(filter-out plugins/parsers/influx/machine.go, $(GOFILES)))
BUILDFLAGS ?=
ifdef GOBIN
PATH := $(GOBIN):$(PATH)
else
PATH := $(subst :,/bin:,$(GOPATH))/bin:$(PATH)
PATH := $(subst :,/bin:,$(shell go env GOPATH))/bin:$(PATH)
endif
LDFLAGS := $(LDFLAGS) -X main.commit=$(COMMIT) -X main.branch=$(BRANCH)
@ -17,33 +25,38 @@ ifdef VERSION
LDFLAGS += -X main.version=$(VERSION)
endif
.PHONY: all
all:
$(MAKE) deps
$(MAKE) telegraf
@$(MAKE) --no-print-directory deps
@$(MAKE) --no-print-directory telegraf
.PHONY: deps
deps:
go get -u github.com/golang/lint/golint
go get -u github.com/golang/dep/cmd/dep
dep ensure
go mod download
.PHONY: telegraf
telegraf:
go build -ldflags "$(LDFLAGS)" ./cmd/telegraf
.PHONY: go-install
go-install:
go install -ldflags "-w -s $(LDFLAGS)" ./cmd/telegraf
.PHONY: install
install: telegraf
mkdir -p $(DESTDIR)$(PREFIX)/bin/
cp telegraf $(DESTDIR)$(PREFIX)/bin/
.PHONY: test
test:
go test -short ./...
.PHONY: fmt
fmt:
@gofmt -w $(filter-out plugins/parsers/influx/machine.go, $(GOFILES))
@gofmt -s -w $(filter-out plugins/parsers/influx/machine.go, $(GOFILES))
.PHONY: fmtcheck
fmtcheck:
@echo '[INFO] running gofmt to identify incorrectly formatted code...'
@if [ ! -z "$(GOFMT)" ]; then \
echo "[ERROR] gofmt has found errors in the following files:" ; \
echo "$(GOFMT)" ; \
@ -51,17 +64,17 @@ fmtcheck:
echo "Run make fmt to fix them." ; \
exit 1 ;\
fi
@echo '[INFO] done.'
.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/...
# vet runs the Go source code static analysis tool `vet` to find
# any common errors.
.PHONY: vet
vet:
@echo 'go vet $$(go list ./... | grep -v ./plugins/parsers/influx)'
@go vet $$(go list ./... | grep -v ./plugins/parsers/influx) ; if [ $$? -ne 0 ]; then \
@ -71,27 +84,54 @@ vet:
exit 1; \
fi
test-ci: fmtcheck vet
go test -short ./...
.PHONY: tidy
tidy:
go mod verify
go mod tidy
@if ! git diff --quiet go.mod go.sum; then \
echo "please run go mod tidy and check in changes"; \
exit 1; \
fi
.PHONY: check
check: fmtcheck vet
@$(MAKE) --no-print-directory tidy
.PHONY: test-all
test-all: fmtcheck vet
go test ./...
.PHONY: check-deps
check-deps:
./scripts/check-deps.sh
.PHONY: package
package:
./scripts/build.py --package --platform=all --arch=all
.PHONY: package-release
package-release:
./scripts/build.py --release --package --platform=all --arch=all \
--upload --bucket=dl.influxdata.com/telegraf/releases
.PHONY: package-nightly
package-nightly:
./scripts/build.py --nightly --package --platform=all --arch=all \
--upload --bucket=dl.influxdata.com/telegraf/nightlies
.PHONY: clean
clean:
rm -f telegraf
rm -f telegraf.exe
.PHONY: docker-image
docker-image:
./scripts/build.py --package --platform=linux --arch=amd64
cp build/telegraf*$(COMMIT)*.deb .
docker build -f scripts/dev.docker --build-arg "package=telegraf*$(COMMIT)*.deb" -t "telegraf-dev:$(COMMIT)" .
docker build -f scripts/stretch.docker -t "telegraf:$(COMMIT)" .
plugins/parsers/influx/machine.go: plugins/parsers/influx/machine.go.rl
ragel -Z -G2 $^ -o $@
.PHONY: static
static:
@echo "Building static linux binary..."
@CGO_ENABLED=0 \
@ -99,8 +139,17 @@ static:
GOARCH=amd64 \
go build -ldflags "$(LDFLAGS)" ./cmd/telegraf
.PHONY: plugin-%
plugin-%:
@echo "Starting dev environment for $${$(@)} input plugin..."
@docker-compose -f plugins/inputs/$${$(@)}/dev/docker-compose.yml up
.PHONY: deps telegraf install test test-windows lint vet test-all package clean docker-image fmtcheck uint64 static
.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

283
README.md
View File

@ -1,24 +1,24 @@
# 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 written in Go for collecting, processing, aggregating,
and writing metrics.
Telegraf is an agent 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
. For an example configuration referencet from local or remote services.
that developers in the community can easily add support for collecting
metrics.
Telegraf is plugin-driven and has the concept of 4 distinct plugins:
Telegraf is plugin-driven and has the concept of 4 distinct plugin types:
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
For more information on Processor and Aggregator plugins please [read this](./docs/AGGREGATORS_AND_PROCESSORS.md).
New plugins are designed to be easy to contribute, pull requests are welcomed
and we work to incorporate as many pull requests as possible.
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.
## Try in Browser :rocket:
You can try Telegraf right in your browser in the [Telegraf playground](https://rootnroll.com/d/telegraf/).
## Contributing
@ -26,8 +26,19 @@ 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 on github and on the [Community Site](https://community.influxdata.com/)
- 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
## Installation:
@ -40,20 +51,29 @@ Ansible role: https://github.com/rossmcdonald/telegraf
### From Source:
Telegraf requires golang version 1.9 or newer, the Makefile requires GNU make.
Telegraf requires Go version 1.13 or newer, the Makefile requires GNU make.
Dependencies are managed with [dep](https://github.com/golang/dep),
which is installed by the Makefile if you don't have it already.
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
```
1. [Install Go](https://golang.org/doc/install)
2. [Setup your GOPATH](https://golang.org/doc/code.html#GOPATH)
3. Run `go get -d github.com/influxdata/telegraf`
4. Run `cd $GOPATH/src/github.com/influxdata/telegraf`
5. Run `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)
@ -83,112 +103,171 @@ These builds are generated from the master branch:
See usage with:
```
./telegraf --help
telegraf --help
```
#### Generate a telegraf config file:
```
./telegraf config > telegraf.conf
telegraf config > telegraf.conf
```
#### Generate config with only cpu input & influxdb output plugins defined:
```
./telegraf --input-filter cpu --output-filter influxdb config
telegraf --section-filter agent:inputs:outputs --input-filter cpu --output-filter influxdb config
```
#### Run a single telegraf collection, outputing metrics to stdout:
#### Run a single telegraf collection, outputting metrics to stdout:
```
./telegraf --config telegraf.conf --test
telegraf --config telegraf.conf --test
```
#### Run telegraf with all plugins defined in config file:
```
./telegraf --config telegraf.conf
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
telegraf --config telegraf.conf --input-filter cpu:mem --output-filter influxdb
```
## Documentation
## Configuration
[Latest Release Documentation][release docs].
See the [configuration guide](docs/CONFIGURATION.md) for a rundown of the more advanced
configuration options.
For documentation on the latest development code see the [documentation index][devel docs].
[release docs]: https://docs.influxdata.com/telegraf
[devel docs]: docs
## 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)
* [aws cloudwatch](./plugins/inputs/cloudwatch) (Amazon Cloudwatch)
* [azure_storage_queue](./plugins/inputs/azure_storage_queue)
* [bcache](./plugins/inputs/bcache)
* [beanstalkd](./plugins/inputs/beanstalkd)
* [bind](./plugins/inputs/bind)
* [bond](./plugins/inputs/bond)
* [cassandra](./plugins/inputs/cassandra) (deprecated, use [jolokia2](./plugins/inputs/jolokia2))
* [burrow](./plugins/inputs/burrow)
* [cassandra](./plugins/inputs/cassandra) (deprecated, use [jolokia2](./plugins/inputs/jolokia2))
* [ceph](./plugins/inputs/ceph)
* [cgroup](./plugins/inputs/cgroup)
* [chrony](./plugins/inputs/chrony)
* [consul](./plugins/inputs/consul)
* [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)
* [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)
* [httpjson](./plugins/inputs/httpjson) (generic JSON-emitting http service plugin)
* [internal](./plugins/inputs/internal)
* [icinga2](./plugins/inputs/icinga2)
* [infiniband](./plugins/inputs/infiniband)
* [influxdb](./plugins/inputs/influxdb)
* [influxdb_listener](./plugins/inputs/influxdb_listener)
* [internal](./plugins/inputs/internal)
* [interrupts](./plugins/inputs/interrupts)
* [ipmi_sensor](./plugins/inputs/ipmi_sensor)
* [iptables](./plugins/inputs/iptables)
* [ipset](./plugins/inputs/ipset)
* [jolokia](./plugins/inputs/jolokia) (deprecated, use [jolokia2](./plugins/inputs/jolokia2))
* [iptables](./plugins/inputs/iptables)
* [ipvs](./plugins/inputs/ipvs)
* [jenkins](./plugins/inputs/jenkins)
* [jolokia2](./plugins/inputs/jolokia2) (java, cassandra, kafka)
- [jti_openconfig_telemetry](./plugins/inputs/jti_openconfig_telemetry)
* [jolokia](./plugins/inputs/jolokia) (deprecated, use [jolokia2](./plugins/inputs/jolokia2))
* [jti_openconfig_telemetry](./plugins/inputs/jti_openconfig_telemetry)
* [kafka_consumer](./plugins/inputs/kafka_consumer)
* [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)
@ -196,6 +275,8 @@ configuration options.
* [postgresql_extensible](./plugins/inputs/postgresql_extensible)
* [postgresql](./plugins/inputs/postgresql)
* [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))
* [puppetagent](./plugins/inputs/puppetagent)
@ -206,49 +287,35 @@ configuration options.
* [riak](./plugins/inputs/riak)
* [salesforce](./plugins/inputs/salesforce)
* [sensors](./plugins/inputs/sensors)
* [sflow](./plugins/inputs/sflow)
* [smart](./plugins/inputs/smart)
* [snmp](./plugins/inputs/snmp)
* [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)
* [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)
* [unbound](./plugins/inputs/unbound)
* [varnish](./plugins/inputs/varnish)
* [zfs](./plugins/inputs/zfs)
* [zookeeper](./plugins/inputs/zookeeper)
* [win_perf_counters](./plugins/inputs/win_perf_counters) (windows performance counters)
* [win_services](./plugins/inputs/win_services)
* [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)
* [unbound](./plugins/inputs/unbound)
* [uwsgi](./plugins/inputs/uwsgi)
* [varnish](./plugins/inputs/varnish)
* [vsphere](./plugins/inputs/vsphere) VMware vSphere
* [webhooks](./plugins/inputs/webhooks)
* [filestack](./plugins/inputs/webhooks/filestack)
* [github](./plugins/inputs/webhooks/github)
@ -256,61 +323,107 @@ Telegraf can also collect metrics via the following service plugins:
* [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)
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:
## Parsers
* [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)
* [Dropwizard](./docs/DATA_FORMATS_INPUT.md#dropwizard)
- [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)
## Processor Plugins
* [converter](./plugins/processors/converter)
* [override](./plugins/processors/override)
* [printer](./plugins/processors/printer)
* [regex](./plugins/processors/regex)
* [topk](./plugins/processors/topk)
* [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)
## Aggregator Plugins
* [basicstats](./plugins/aggregators/basicstats)
* [minmax](./plugins/aggregators/minmax)
* [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](./plugins/outputs/influxdb) (InfluxDB 1.x)
* [influxdb_v2](./plugins/outputs/influxdb_v2) ([InfluxDB 2.x](https://github.com/influxdata/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)

53
accumulator.go
View File

@ -1,16 +1,14 @@
package telegraf
import "time"
import (
"time"
)
// Accumulator is an interface for "accumulating" metrics from plugin(s).
// The metrics are sent down a channel shared between all plugins.
// Accumulator allows adding metrics to the processing flow.
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,
@ -40,7 +38,48 @@ type Accumulator interface {
tags map[string]string,
t ...time.Time)
SetPrecision(precision, interval time.Duration)
// 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
}

140
agent/accumulator.go
View File

@ -1,31 +1,27 @@
package agent
import (
"log"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/selfstat"
)
var (
NErrors = selfstat.Register("agent", "gather_errors", map[string]string{})
"github.com/influxdata/telegraf/metric"
)
type MetricMaker interface {
Name() string
MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric
LogName() string
MakeMetric(metric telegraf.Metric) telegraf.Metric
Log() telegraf.Logger
}
type accumulator struct {
maker MetricMaker
metrics chan<- telegraf.Metric
precision time.Duration
}
func NewAccumulator(
maker MetricMaker,
metrics chan telegraf.Metric,
metrics chan<- telegraf.Metric,
) telegraf.Accumulator {
acc := accumulator{
maker: maker,
@ -35,23 +31,13 @@ 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,
) {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Untyped, ac.getTime(t)); m != nil {
ac.metrics <- m
}
ac.addFields(measurement, tags, fields, telegraf.Untyped, t...)
}
func (ac *accumulator) AddGauge(
@ -60,9 +46,7 @@ func (ac *accumulator) AddGauge(
tags map[string]string,
t ...time.Time,
) {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Gauge, ac.getTime(t)); m != nil {
ac.metrics <- m
}
ac.addFields(measurement, tags, fields, telegraf.Gauge, t...)
}
func (ac *accumulator) AddCounter(
@ -71,9 +55,7 @@ func (ac *accumulator) AddCounter(
tags map[string]string,
t ...time.Time,
) {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Counter, ac.getTime(t)); m != nil {
ac.metrics <- m
}
ac.addFields(measurement, tags, fields, telegraf.Counter, t...)
}
func (ac *accumulator) AddSummary(
@ -82,9 +64,7 @@ func (ac *accumulator) AddSummary(
tags map[string]string,
t ...time.Time,
) {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Summary, ac.getTime(t)); m != nil {
ac.metrics <- m
}
ac.addFields(measurement, tags, fields, telegraf.Summary, t...)
}
func (ac *accumulator) AddHistogram(
@ -93,7 +73,28 @@ func (ac *accumulator) AddHistogram(
tags map[string]string,
t ...time.Time,
) {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Histogram, ac.getTime(t)); m != nil {
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 {
ac.metrics <- m
}
}
@ -104,33 +105,14 @@ func (ac *accumulator) AddError(err error) {
if err == nil {
return
}
NErrors.Incr(1)
//TODO suppress/throttle consecutive duplicate errors?
log.Printf("E! Error in plugin [%s]: %s", ac.maker.Name(), err)
ac.maker.Log().Errorf("Error in plugin: %v", err)
}
// 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) SetPrecision(precision time.Duration) {
ac.precision = precision
}
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]
@ -139,3 +121,43 @@ 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")
}
}

59
agent/accumulator_test.go
View File

@ -9,8 +9,7 @@ import (
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/metric"
"github.com/influxdata/telegraf/models"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
@ -61,7 +60,6 @@ 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")
@ -76,7 +74,6 @@ func TestSetPrecision(t *testing.T) {
name string
unset bool
precision time.Duration
interval time.Duration
timestamp time.Time
expected time.Time
}{
@ -88,13 +85,13 @@ func TestSetPrecision(t *testing.T) {
},
{
name: "second interval",
interval: time.Second,
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",
interval: time.Microsecond,
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),
},
@ -111,7 +108,7 @@ func TestSetPrecision(t *testing.T) {
a := NewAccumulator(&TestMetricMaker{}, metrics)
if !tt.unset {
a.SetPrecision(tt.precision, tt.interval)
a.SetPrecision(tt.precision)
}
a.AddFields("acctest",
@ -128,32 +125,36 @@ func TestSetPrecision(t *testing.T) {
}
}
func TestAddTrackingMetricGroupEmpty(t *testing.T) {
ch := make(chan telegraf.Metric, 10)
metrics := []telegraf.Metric{}
acc := NewAccumulator(&TestMetricMaker{}, ch).WithTracking(1)
id := acc.AddTrackingMetricGroup(metrics)
select {
case tracking := <-acc.Delivered():
require.Equal(t, tracking.ID(), id)
default:
t.Fatal("empty group should be delivered immediately")
}
}
type TestMetricMaker struct {
}
func (tm *TestMetricMaker) Name() string {
return "TestPlugin"
}
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
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", "")
}

1353
agent/agent.go
View File

File diff suppressed because it is too large Load Diff

19
agent/agent_posix.go Normal file
View File

@ -0,0 +1,19 @@
// +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)
}

91
agent/agent_test.go
View File

@ -2,15 +2,13 @@ package agent
import (
"testing"
"time"
"github.com/influxdata/telegraf/internal/config"
// needing to load the plugins
"github.com/influxdata/telegraf/config"
_ "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) {
@ -24,35 +22,35 @@ func TestAgent_OmitHostname(t *testing.T) {
func TestAgent_LoadPlugin(t *testing.T) {
c := config.NewConfig()
c.InputFilters = []string{"mysql"}
err := c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
err := c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
a, _ = NewAgent(c)
assert.Equal(t, 2, len(a.Config.Inputs))
@ -61,42 +59,42 @@ func TestAgent_LoadPlugin(t *testing.T) {
func TestAgent_LoadOutput(t *testing.T) {
c := config.NewConfig()
c.OutputFilters = []string{"influxdb"}
err := c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
err := c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../config/testdata/telegraf-agent.toml")
assert.NoError(t, err)
assert.Equal(t, 3, len(c.Outputs))
a, _ = NewAgent(c)
@ -104,8 +102,67 @@ func TestAgent_LoadOutput(t *testing.T) {
c = config.NewConfig()
c.OutputFilters = []string{"influxdb", "foo", "kafka", "bar"}
err = c.LoadConfig("../internal/config/testdata/telegraf-agent.toml")
err = c.LoadConfig("../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")
})
}
}

13
agent/agent_windows.go Normal file
View File

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

268
agent/tick.go Normal file
View File

@ -0,0 +1,268 @@
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()
}

251
agent/tick_test.go Normal file
View File

@ -0,0 +1,251 @@
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
}

6
aggregator.go
View File

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

27
appveyor.yml
View File

@ -1,34 +1,35 @@
version: "{build}"
image: Visual Studio 2019
cache:
- C:\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:
- IF NOT EXIST "C:\Cache" mkdir C:\Cache
- IF NOT EXIST "C:\Cache\go1.10.1.msi" curl -o "C:\Cache\go1.10.1.msi" https://storage.googleapis.com/golang/go1.10.1.windows-amd64.msi
- IF NOT EXIST "C:\Cache\gnuwin32-bin.zip" curl -o "C:\Cache\gnuwin32-bin.zip" https://dl.influxdata.com/telegraf/ci/make-3.81-bin.zip
- IF NOT EXIST "C:\Cache\gnuwin32-dep.zip" curl -o "C:\Cache\gnuwin32-dep.zip" https://dl.influxdata.com/telegraf/ci/make-3.81-dep.zip
- IF EXIST "C:\Go" rmdir /S /Q C:\Go
- msiexec.exe /i "C:\Cache\go1.10.1.msi" /quiet
- 7z x "C:\Cache\gnuwin32-bin.zip" -oC:\GnuWin32 -y
- 7z x "C:\Cache\gnuwin32-dep.zip" -oC:\GnuWin32 -y
- choco install make
- cd "%GOPATH%\src\github.com\influxdata\telegraf"
- git config --system core.longpaths true
- go version
- go env
- git config --system core.longpaths true
build_script:
- cmd: C:\GnuWin32\bin\make deps
- cmd: C:\GnuWin32\bin\make telegraf
- make deps
- make telegraf
test_script:
- cmd: C:\GnuWin32\bin\make test-windows
- make check
- make test-windows
artifacts:
- path: telegraf.exe

383
cmd/telegraf/telegraf.go
View File

@ -1,6 +1,8 @@
package main
import (
"context"
"errors"
"flag"
"fmt"
"log"
@ -8,13 +10,15 @@ import (
_ "net/http/pprof" // Comment this line to disable pprof endpoint.
"os"
"os/signal"
"runtime"
"sort"
"strings"
"syscall"
"time"
"github.com/influxdata/telegraf/agent"
"github.com/influxdata/telegraf/config"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/internal/config"
"github.com/influxdata/telegraf/internal/goplugin"
"github.com/influxdata/telegraf/logger"
_ "github.com/influxdata/telegraf/plugins/aggregators/all"
"github.com/influxdata/telegraf/plugins/inputs"
@ -22,23 +26,26 @@ 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, "gather metrics, print them out, and exit")
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 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")
var fVersion = flag.Bool("version", false, "display the version and exit")
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,
@ -54,30 +61,23 @@ var fProcessorFilters = flag.String("processor-filter", "",
var fUsage = flag.String("usage", "",
"print usage for a plugin, ie, 'telegraf --usage mysql'")
var fService = flag.String("service", "",
"operate on the 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")
var (
nextVersion = "1.8.0"
version string
commit string
branch string
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"
}
}
var stop chan struct{}
func reloadLoop(
stop chan struct{},
inputFilters []string,
outputFilters []string,
aggregatorFilters []string,
@ -88,148 +88,151 @@ func reloadLoop(
for <-reload {
reload <- false
// 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())
}
ctx, cancel := context.WithCancel(context.Background())
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?")
}
if int64(c.Agent.Interval.Duration) <= 0 {
log.Fatalf("E! Agent interval must be positive, found %s",
c.Agent.Interval.Duration)
}
if int64(c.Agent.FlushInterval.Duration) <= 0 {
log.Fatalf("E! Agent flush_interval must be positive; found %s",
c.Agent.Interval.Duration)
}
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, syscall.SIGTERM)
signals := make(chan os.Signal, 1)
signal.Notify(signals, os.Interrupt, syscall.SIGHUP,
syscall.SIGTERM, syscall.SIGINT)
go func() {
select {
case sig := <-signals:
if sig == os.Interrupt || sig == syscall.SIGTERM {
close(shutdown)
}
if sig == syscall.SIGHUP {
log.Printf("I! Reloading Telegraf config\n")
log.Printf("I! Reloading Telegraf config")
<-reload
reload <- true
close(shutdown)
}
cancel()
case <-stop:
close(shutdown)
cancel()
}
}()
log.Printf("I! Starting Telegraf %s\n", displayVersion())
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)
}
}()
}
err := runAgent(ctx, inputFilters, outputFilters)
if err != nil && err != context.Canceled {
log.Fatalf("E! [telegraf] Error running agent: %v", 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)
os.Exit(rc)
}
type program struct {
inputFilters []string
outputFilters []string
aggregatorFilters []string
processorFilters []string
}
func formatFullVersion() string {
var parts = []string{"Telegraf"}
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 displayVersion() string {
if version == "" {
return fmt.Sprintf("v%s~%s", nextVersion, commit)
if version != "" {
parts = append(parts, version)
} else {
parts = append(parts, "unknown")
}
return "v" + version
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 main() {
@ -237,7 +240,10 @@ func main() {
flag.Parse()
args := flag.Args()
inputFilters, outputFilters := []string{}, []string{}
sectionFilters, inputFilters, outputFilters := []string{}, []string{}, []string{}
if *fSectionFilters != "" {
sectionFilters = strings.Split(":"+strings.TrimSpace(*fSectionFilters)+":", ":")
}
if *fInputFilters != "" {
inputFilters = strings.Split(":"+strings.TrimSpace(*fInputFilters)+":", ":")
}
@ -253,6 +259,16 @@ 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
@ -273,10 +289,11 @@ func main() {
if len(args) > 0 {
switch args[0] {
case "version":
fmt.Printf("Telegraf %s (git: %s %s)\n", displayVersion(), branch, commit)
fmt.Println(formatFullVersion())
return
case "config":
config.PrintSampleConfig(
sectionFilters,
inputFilters,
outputFilters,
aggregatorFilters,
@ -289,22 +306,33 @@ func main() {
// switch for flags which just do something and exit immediately
switch {
case *fOutputList:
fmt.Println("Available Output Plugins:")
for k, _ := range outputs.Outputs {
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.Printf(" %s\n", k)
}
return
case *fInputList:
fmt.Println("Available Input Plugins:")
for k, _ := range inputs.Inputs {
names := make([]string, 0, len(inputs.Inputs))
for k := range inputs.Inputs {
names = append(names, k)
}
sort.Strings(names)
for _, k := range names {
fmt.Printf(" %s\n", k)
}
return
case *fVersion:
fmt.Printf("Telegraf %s (git: %s %s)\n", displayVersion(), branch, commit)
fmt.Println(formatFullVersion())
return
case *fSampleConfig:
config.PrintSampleConfig(
sectionFilters,
inputFilters,
outputFilters,
aggregatorFilters,
@ -320,53 +348,20 @@ func main() {
return
}
if runtime.GOOS == "windows" && !(*fRunAsConsole) {
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"},
}
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,
)
shortVersion := version
if shortVersion == "" {
shortVersion = "unknown"
}
// Configure version
if err := internal.SetVersion(shortVersion); err != nil {
log.Println("Telegraf version already configured to: " + internal.Version())
}
run(
inputFilters,
outputFilters,
aggregatorFilters,
processorFilters,
)
}

13
cmd/telegraf/telegraf_posix.go Normal file
View File

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

124
cmd/telegraf/telegraf_windows.go Normal file
View File

@ -0,0 +1,124 @@
// +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()
}

21
internal/config/aws/credentials.go → config/aws/credentials.go
View File

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

1032
internal/config/config.go → config/config.go
View File

File diff suppressed because it is too large Load Diff

103
internal/config/config_test.go → config/config_test.go
View File

@ -5,14 +5,17 @@ import (
"testing"
"time"
"github.com/influxdata/telegraf/internal/models"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/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) {
@ -28,17 +31,17 @@ func TestConfig_LoadSingleInputWithEnvVars(t *testing.T) {
filter := models.Filter{
NameDrop: []string{"metricname2"},
NamePass: []string{"metricname1"},
NamePass: []string{"metricname1", "ip_192.168.1.1_name"},
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"},
},
@ -71,13 +74,13 @@ 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"},
},
@ -117,13 +120,13 @@ 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"},
},
@ -143,7 +146,11 @@ func TestConfig_LoadDirectory(t *testing.T) {
"Testdata did not produce correct memcached metadata.")
ex := inputs.Inputs["exec"]().(*exec.Exec)
p, err := parsers.NewJSONParser("exec", nil, nil)
p, err := parsers.NewParser(&parsers.Config{
MetricName: "exec",
DataFormat: "json",
JSONStrict: true,
})
assert.NoError(t, err)
ex.SetParser(p)
ex.Command = "/usr/bin/myothercollector --foo=bar"
@ -152,6 +159,11 @@ 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,
@ -174,3 +186,74 @@ 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())
}

7
config/testdata/inline_table.toml vendored Normal file
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@ -0,0 +1,7 @@
[[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"]

2
config/testdata/invalid_field.toml vendored Normal file
View File

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

4
config/testdata/non_slice_slice.toml vendored Normal file
View File

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

0
internal/config/testdata/single_plugin.toml → config/testdata/single_plugin.toml vendored
View File

2
internal/config/testdata/single_plugin_env_vars.toml → config/testdata/single_plugin_env_vars.toml vendored
View File

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

5
config/testdata/slice_comment.toml vendored Normal file
View File

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

9
config/testdata/special_types.toml vendored Normal file
View File

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

0
internal/config/testdata/subconfig/exec.conf → config/testdata/subconfig/exec.conf vendored
View File

0
internal/config/testdata/subconfig/memcached.conf → config/testdata/subconfig/memcached.conf vendored
View File

0
internal/config/testdata/subconfig/procstat.conf → config/testdata/subconfig/procstat.conf vendored
View File

2
internal/config/testdata/telegraf-agent.toml → config/testdata/telegraf-agent.toml vendored
View File

@ -256,7 +256,7 @@
# specify address via a url matching:
# postgres://[pqgotest[:password]]@localhost[/dbname]?sslmode=[disable|verify-ca|verify-full]
# or a simple string:
# host=localhost user=pqotest password=... sslmode=... dbname=app_production
# host=localhost user=pqgotest 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

2
config/testdata/wrong_field_type.toml vendored Normal file
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@ -0,0 +1,2 @@
[[inputs.http_listener_v2]]
port = "80"

2
config/testdata/wrong_field_type2.toml vendored Normal file
View File

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

88
config/types.go Normal file
View File

@ -0,0 +1,88 @@
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
}

21
docker-compose.yml
View File

@ -17,19 +17,20 @@ services:
- KAFKA_ADVERTISED_HOST_NAME=localhost
- KAFKA_ADVERTISED_PORT=9092
- KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181
- KAFKA_CREATE_TOPICS="test:1:1"
- KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=1
- JAVA_OPTS="-Xms256m -Xmx256m"
ports:
- "9092:9092"
depends_on:
- zookeeper
elasticsearch:
image: elasticsearch:5
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
environment:
- JAVA_OPTS="-Xms256m -Xmx256m"
- "ES_JAVA_OPTS=-Xms256m -Xmx256m"
- discovery.type=single-node
- xpack.security.enabled=false
ports:
- "9200:9200"
- "9300:9300"
mysql:
image: mysql
environment:
@ -40,8 +41,17 @@ services:
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:
@ -83,11 +93,10 @@ services:
ports:
- "4200:4200"
- "4230:4230"
- "5432:5432"
- "6543:5432"
command:
- crate
- -Cnetwork.host=0.0.0.0
- -Ctransport.host=localhost
- -Clicense.enterprise=false
environment:
- CRATE_HEAP_SIZE=128m

132
docs/AGGREGATORS.md Normal file
View File

@ -0,0 +1,132 @@
### 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

17
docs/AGGREGATORS_AND_PROCESSORS.md
View File

@ -44,13 +44,15 @@ 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** plugins process metrics as they pass through and immediately emit
### Processor
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** plugins, on the other hand, are a bit more complicated. Aggregators
### Aggregator
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, quantiles, or standard deviation. For this reason, all _aggregator_
minimum, maximum, 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.
@ -58,7 +60,8 @@ 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.
**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)
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.

723
docs/CONFIGURATION.md
View File

@ -1,33 +1,25 @@
# Telegraf Configuration
# Configuration
You can see the latest config file with all available plugins here:
[telegraf.conf](https://github.com/influxdata/telegraf/blob/master/etc/telegraf.conf)
Telegraf's configuration file is written using [TOML][] and is composed of
three sections: [global tags][], [agent][] settings, and [plugins][].
## Generating a Configuration File
View the default [telegraf.conf][] config file with all available plugins.
A default Telegraf config file can be auto-generated by telegraf:
### Generating a Configuration File
```
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
```
## 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, $BOOL_VAR)
When using the `.deb` or `.rpm` packages, you can define environment variables
in the `/etc/default/telegraf` file.
## Configuration file locations
### Configuration Loading
The location of the configuration file can be set via the `--config` command
line flag.
@ -40,180 +32,431 @@ On most systems, the default locations are `/etc/telegraf/telegraf.conf` for
the main configuration file and `/etc/telegraf/telegraf.d` for the directory of
configuration files.
# Global Tags
### Environment Variables
Global tags can be specified in the `[global_tags]` section of the config file
in key="value" format. All metrics being gathered on this host will be tagged
with the tags specified here.
Environment variables can be used anywhere in the config file, simply surround
them with `${}`. 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}`.
## Agent Configuration
When using the `.deb` or `.rpm` packages, you can define environment variables
in the `/etc/default/telegraf` file.
Telegraf has a few options you can configure under the `[agent]` section of the
config.
**Example**:
* **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 or when set to "0s", 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. 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".
`/etc/default/telegraf`:
```
USER="alice"
INFLUX_URL="http://localhost:8086"
INFLUX_SKIP_DATABASE_CREATION="true"
INFLUX_PASSWORD="monkey123"
```
* **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.
`/etc/telegraf.conf`:
```toml
[global_tags]
user = "${USER}"
## Input Configuration
[[inputs.mem]]
The following config parameters are available for all inputs:
[[outputs.influxdb]]
urls = ["${INFLUX_URL}"]
skip_database_creation = ${INFLUX_SKIP_DATABASE_CREATION}
password = "${INFLUX_PASSWORD}"
```
* **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 above files will produce the following effective configuration file to be
parsed:
```toml
[global_tags]
user = "alice"
The [measurement filtering](#measurement-filtering) parameters can be used to
limit what metrics are emitted from the input plugin.
[[outputs.influxdb]]
urls = "http://localhost:8086"
skip_database_creation = true
password = "monkey123"
```
## Output Configuration
### Intervals
The [measurement filtering](#measurement-filtering) parameters can be used to
limit what metrics are emitted from the output plugin.
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"
```
## Aggregator Configuration
### Global Tags
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.
The [measurement filtering](#measurement-filtering) parameters can be used to
limit what metrics are handled by the aggregator. Excluded metrics are passed
downstream to the next aggregator.
## 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.
The [measurement filtering](#measurement-filtering) parameters can be used
to limit what metrics are handled by the processor. Excluded metrics are
passed downstream to the next processor.
#### 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.
* **fielddrop**:
The inverse of `fieldpass`. Fields with a field key matching one of the
patterns will be discarded from the point. This is tested on points after
they have passed the `fieldpass` test.
* **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_`.
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 = "denver-1"
dc = "us-east-1"
```
[agent]
interval = "10s"
### Agent
# OUTPUTS
[[outputs.influxdb]]
url = "http://192.168.59.103:8086" # required.
database = "telegraf" # required.
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
# INPUTS
[[inputs.cpu]]
percpu = true
totalcpu = false
# filter all fields beginning with 'time_'
fielddrop = ["time_*"]
name_override = "percpu_usage"
fielddrop = ["cpu_time*"]
```
#### Input Config: tagpass and tagdrop
### Output Plugins
**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.
Output plugins write metrics to a location. Outputs commonly write to
databases, network services, and messaging systems.
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
@ -231,10 +474,22 @@ interpreted as part of the tagpass/tagdrop map.
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*"]
```
#### Input Config: fieldpass and fielddrop
##### Using fieldpass and fielddrop:
```toml
# Drop all metrics for guest & steal CPU usage
[[inputs.cpu]]
@ -247,8 +502,7 @@ interpreted as part of the tagpass/tagdrop map.
fieldpass = ["inodes*"]
```
#### Input Config: namepass and namedrop
##### Using namepass and namedrop:
```toml
# Drop all metrics about containers for kubelet
[[inputs.prometheus]]
@ -261,8 +515,7 @@ interpreted as part of the tagpass/tagdrop map.
namepass = ["rest_client_*"]
```
#### Input Config: taginclude and tagexclude
##### Using taginclude and tagexclude:
```toml
# Only include the "cpu" tag in the measurements for the cpu plugin.
[[inputs.cpu]]
@ -275,64 +528,7 @@ interpreted as part of the tagpass/tagdrop map.
tagexclude = ["fstype"]
```
#### 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:
##### Metrics can be routed to different outputs using the metric name and tags:
```toml
[[outputs.influxdb]]
urls = [ "http://localhost:8086" ]
@ -354,50 +550,43 @@ to avoid measurement collisions:
cpu = ["cpu0"]
```
#### Aggregator Configuration Examples:
##### Routing metrics to different outputs based on the input.
This will collect and emit the min/max of the system load1 metric every
30s, dropping the originals.
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.
```toml
[[inputs.system]]
fieldpass = ["load1"] # collects system load1 metric.
[[outputs.influxdb]]
urls = ["http://influxdb.example.com"]
database = "db_default"
[outputs.influxdb.tagdrop]
influxdb_database = ["*"]
[[aggregators.minmax]]
period = "30s" # send & clear the aggregate every 30s.
drop_original = true # drop the original metrics.
[[outputs.influxdb]]
urls = ["http://influxdb.example.com"]
database = "db_other"
tagexclude = ["influxdb_database"]
[outputs.influxdb.tagpass]
influxdb_database = ["other"]
[[outputs.file]]
files = ["stdout"]
[[inputs.disk]]
[inputs.disk.tags]
influxdb_database = "other"
```
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.
### Transport Layer Security (TLS)
```toml
[[inputs.swap]]
Reference the detailed [TLS][] documentation.
[[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"]
```
#### Processor Configuration Examples:
Print only the metrics with `cpu` as the measurement name, all metrics are
passed to the output:
```toml
[[processors.printer]]
namepass = "cpu"
[[outputs.file]]
files = ["/tmp/metrics.out"]
```
[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

655
docs/DATA_FORMATS_INPUT.md
View File

@ -1,37 +1,24 @@
# Telegraf Input Data Formats
# Input Data Formats
Telegraf is able to parse the following input data formats into metrics:
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.
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)
1. [Dropwizard](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#dropwizard)
- [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)
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:
Any input plugin containing the `data_format` option can use it to select the
desired parser:
```toml
[[inputs.exec]]
@ -46,610 +33,6 @@ example, in the exec plugin:
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "json"
## 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 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"]
```
# Dropwizard:
The dropwizard format can parse the JSON representation of a single dropwizard metric registry. By default, tags are parsed from metric names as if they were actual influxdb line protocol keys (`measurement<,tag_set>`) which can be overriden by defining custom [measurement & tag templates](./DATA_FORMATS_INPUT.md#measurement--tag-templates). All field value types are supported, `string`, `number` and `boolean`.
A typical JSON of a dropwizard metric registry:
```json
{
"version": "3.0.0",
"counters" : {
"measurement,tag1=green" : {
"count" : 1
}
},
"meters" : {
"measurement" : {
"count" : 1,
"m15_rate" : 1.0,
"m1_rate" : 1.0,
"m5_rate" : 1.0,
"mean_rate" : 1.0,
"units" : "events/second"
}
},
"gauges" : {
"measurement" : {
"value" : 1
}
},
"histograms" : {
"measurement" : {
"count" : 1,
"max" : 1.0,
"mean" : 1.0,
"min" : 1.0,
"p50" : 1.0,
"p75" : 1.0,
"p95" : 1.0,
"p98" : 1.0,
"p99" : 1.0,
"p999" : 1.0,
"stddev" : 1.0
}
},
"timers" : {
"measurement" : {
"count" : 1,
"max" : 1.0,
"mean" : 1.0,
"min" : 1.0,
"p50" : 1.0,
"p75" : 1.0,
"p95" : 1.0,
"p98" : 1.0,
"p99" : 1.0,
"p999" : 1.0,
"stddev" : 1.0,
"m15_rate" : 1.0,
"m1_rate" : 1.0,
"m5_rate" : 1.0,
"mean_rate" : 1.0,
"duration_units" : "seconds",
"rate_units" : "calls/second"
}
}
}
```
Would get translated into 4 different measurements:
```
measurement,metric_type=counter,tag1=green count=1
measurement,metric_type=meter count=1,m15_rate=1.0,m1_rate=1.0,m5_rate=1.0,mean_rate=1.0
measurement,metric_type=gauge value=1
measurement,metric_type=histogram count=1,max=1.0,mean=1.0,min=1.0,p50=1.0,p75=1.0,p95=1.0,p98=1.0,p99=1.0,p999=1.0
measurement,metric_type=timer count=1,max=1.0,mean=1.0,min=1.0,p50=1.0,p75=1.0,p95=1.0,p98=1.0,p99=1.0,p999=1.0,stddev=1.0,m15_rate=1.0,m1_rate=1.0,m5_rate=1.0,mean_rate=1.0
```
You may also parse a dropwizard registry from any JSON document which contains a dropwizard registry in some inner field.
Eg. to parse the following JSON document:
```json
{
"time" : "2017-02-22T14:33:03.662+02:00",
"tags" : {
"tag1" : "green",
"tag2" : "yellow"
},
"metrics" : {
"counters" : {
"measurement" : {
"count" : 1
}
},
"meters" : {},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
}
```
and translate it into:
```
measurement,metric_type=counter,tag1=green,tag2=yellow count=1 1487766783662000000
```
you simply need to use the following additional configuration properties:
```toml
dropwizard_metric_registry_path = "metrics"
dropwizard_time_path = "time"
dropwizard_time_format = "2006-01-02T15:04:05Z07:00"
dropwizard_tags_path = "tags"
## tag paths per tag are supported too, eg.
#[inputs.yourinput.dropwizard_tag_paths]
# tag1 = "tags.tag1"
# tag2 = "tags.tag2"
```
For more information about the dropwizard json format see
[here](http://metrics.dropwizard.io/3.1.0/manual/json/).
#### Dropwizard Configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["curl http://localhost:8080/sys/metrics"]
timeout = "5s"
## 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 = "dropwizard"
## Used by the templating engine to join matched values when cardinality is > 1
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
## By providing an empty template array, templating is disabled and measurements are parsed as influxdb line protocol keys (measurement<,tag_set>)
templates = []
## You may use an appropriate [gjson path](https://github.com/tidwall/gjson#path-syntax)
## to locate the metric registry within the JSON document
# dropwizard_metric_registry_path = "metrics"
## You may use an appropriate [gjson path](https://github.com/tidwall/gjson#path-syntax)
## to locate the default time of the measurements within the JSON document
# dropwizard_time_path = "time"
# dropwizard_time_format = "2006-01-02T15:04:05Z07:00"
## You may use an appropriate [gjson path](https://github.com/tidwall/gjson#path-syntax)
## to locate the tags map within the JSON document
# dropwizard_tags_path = "tags"
## You may even use tag paths per tag
# [inputs.exec.dropwizard_tag_paths]
# tag1 = "tags.tag1"
# tag2 = "tags.tag2"
```
[metrics]: /docs/METRICS.md

199
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@ -4,12 +4,17 @@ 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.
1. [InfluxDB Line Protocol](#influx)
1. [JSON](#json)
1. [Graphite](#graphite)
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)
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:
```toml
[[outputs.file]]
## Files to write to, "stdout" is a specially handled file.
@ -21,191 +26,3 @@ You will be able to identify the plugins with support by the presence of a
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
```
## Influx
The `influx` data format outputs metrics using
[InfluxDB Line Protocol](https://docs.influxdata.com/influxdb/latest/write_protocols/line_protocol_tutorial/).
This is the recommended format unless another format is required for
interoperability.
### 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"
## Maximum line length in bytes. Useful only for debugging.
# influx_max_line_bytes = 0
## When true, fields will be output in ascending lexical order. Enabling
## this option will result in decreased performance and is only recommended
## when you need predictable ordering while debugging.
# influx_sort_fields = false
## 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
```
## Graphite
The Graphite data format is translated from Telegraf Metrics using either the
template pattern or tag support method. You can select between the two
methods using the [`graphite_tag_support`](#graphite-tag-support) option. When set, the tag support
method is used, otherwise the [`template` pattern](#template-pattern) is used.
#### Template Pattern
The `template` option describes how Telegraf traslates metrics into _dot_
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.
**Example Conversion**:
```
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
```
Fields with string values will be skipped. Boolean fields will be converted
to 1 (true) or 0 (false).
#### Graphite Tag Support
When the `graphite_tag_support` option is enabled, the template pattern is not
used. Instead, tags are encoded using
[Graphite tag support](http://graphite.readthedocs.io/en/latest/tags.html)
added in Graphite 1.1. The `metric_path` is a combination of the optional
`prefix` option, measurement name, and field name.
The tag `name` is reserved by Graphite, any conflicting tags and will be encoded as `_name`.
**Example Conversion**:
```
cpu,cpu=cpu-total,dc=us-east-1,host=tars usage_idle=98.09,usage_user=0.89 1455320660004257758
=>
cpu.usage_user;cpu=cpu-total;dc=us-east-1;host=tars 0.89 1455320690
cpu.usage_idle;cpu=cpu-total;dc=us-east-1;host=tars 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 added to each graphite bucket
prefix = "telegraf"
## Graphite template pattern
template = "host.tags.measurement.field"
## Support Graphite tags, recommended to enable when using Graphite 1.1 or later.
# graphite_tag_support = false
```
## JSON
The JSON output data format output for a single metric is in the
form:
```json
{
"fields": {
"field_1": 30,
"field_2": 4,
"field_N": 59,
"n_images": 660
},
"name": "docker",
"tags": {
"host": "raynor"
},
"timestamp": 1458229140
}
```
When an output plugin needs to emit multiple metrics at one time, it may use
the batch format. The use of batch format is determined by the plugin,
reference the documentation for the specific plugin.
```json
{
"metrics": [
{
"fields": {
"field_1": 30,
"field_2": 4,
"field_N": 59,
"n_images": 660
},
"name": "docker",
"tags": {
"host": "raynor"
},
"timestamp": 1458229140
},
{
"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"
## The resolution to use for the metric timestamp. Must be a duration string
## such as "1ns", "1us", "1ms", "10ms", "1s". Durations are truncated to
## the power of 10 less than the specified units.
json_timestamp_units = "1s"
```

32
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@ -10,10 +10,13 @@ docker run --name telegraf
-v /etc:/hostfs/etc:ro
-v /proc:/hostfs/proc:ro
-v /sys:/hostfs/sys:ro
-v /var/run/utmp:/var/run/utmp: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
```
@ -40,6 +43,33 @@ 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

149
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@ -0,0 +1,149 @@
### 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

274
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@ -3,110 +3,170 @@
When distributed in a binary form, Telegraf may contain portions of the
following works:
- code.cloudfoundry.org/clock [APACHE](https://github.com/cloudfoundry/clock/blob/master/LICENSE)
- collectd.org [MIT](https://github.com/collectd/go-collectd/blob/master/LICENSE)
- github.com/aerospike/aerospike-client-go [APACHE](https://github.com/aerospike/aerospike-client-go/blob/master/LICENSE)
- github.com/amir/raidman [PUBLIC DOMAIN](https://github.com/amir/raidman/blob/master/UNLICENSE)
- github.com/armon/go-metrics [MIT](https://github.com/armon/go-metrics/blob/master/LICENSE)
- github.com/aws/aws-sdk-go [APACHE](https://github.com/aws/aws-sdk-go/blob/master/LICENSE.txt)
- github.com/beorn7/perks [MIT](https://github.com/beorn7/perks/blob/master/LICENSE)
- github.com/boltdb/bolt [MIT](https://github.com/boltdb/bolt/blob/master/LICENSE)
- github.com/bsm/sarama-cluster [MIT](https://github.com/bsm/sarama-cluster/blob/master/LICENSE)
- github.com/cenkalti/backoff [MIT](https://github.com/cenkalti/backoff/blob/master/LICENSE)
- github.com/chuckpreslar/rcon [MIT](https://github.com/chuckpreslar/rcon#license)
- github.com/couchbase/go-couchbase [MIT](https://github.com/couchbase/go-couchbase/blob/master/LICENSE)
- github.com/couchbase/gomemcached [MIT](https://github.com/couchbase/gomemcached/blob/master/LICENSE)
- github.com/couchbase/goutils [MIT](https://github.com/couchbase/go-couchbase/blob/master/LICENSE)
- github.com/dancannon/gorethink [APACHE](https://github.com/dancannon/gorethink/blob/master/LICENSE)
- github.com/davecgh/go-spew [ISC](https://github.com/davecgh/go-spew/blob/master/LICENSE)
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- github.com/kballard/go-shellquote [MIT](https://github.com/kballard/go-shellquote/blob/master/LICENSE)
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- github.com/pkg/errors [BSD](https://github.com/pkg/errors/blob/master/LICENSE)
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- gopkg.in/asn1-ber.v1 [MIT](https://github.com/go-asn1-ber/asn1-ber/blob/v1.2/LICENSE)
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- cloud.google.com/go [Apache License 2.0](https://github.com/googleapis/google-cloud-go/blob/master/LICENSE)
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- 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)
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- 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)
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- 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)
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- github.com/davecgh/go-spew [ISC License](https://github.com/davecgh/go-spew/blob/master/LICENSE)
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- github.com/docker/distribution [Apache License 2.0](https://github.com/docker/distribution/blob/master/LICENSE)
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- 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)
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- 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)
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- 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)
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- 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)
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- github.com/leodido/ragel-machinery [MIT License](https://github.com/leodido/ragel-machinery/blob/develop/LICENSE)
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- github.com/matttproud/golang_protobuf_extensions [Apache License 2.0](https://github.com/matttproud/golang_protobuf_extensions/blob/master/LICENSE)
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- 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)

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@ -0,0 +1,22 @@
# 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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### 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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### 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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# 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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# 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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# 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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@ -46,8 +46,26 @@ 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 |
Troubleshooting common error #1067
## 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
--config "C:\Program Files\Telegraf\telegraf.conf"

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@ -1,18 +1,26 @@
# 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]
@ -22,11 +30,15 @@
## ie, if interval="10s" then always collect on :00, :10, :20, etc.
round_interval = true
## 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
## 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
## Collection jitter is used to jitter the collection by a random amount.
## Each plugin will sleep for a random time within jitter before collecting.
@ -34,58 +46,197 @@
## same time, which can have a measurable effect on the system.
collection_jitter = "0s"
## Default flushing interval for all outputs. You shouldn't set this below
## interval. Maximum flush_interval will be flush_interval + flush_jitter
## Default flushing interval for all outputs. 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"
## 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"
## 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
## 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
###############################################################################
# OUTPUTS #
# OUTPUT PLUGINS #
###############################################################################
# Configuration for influxdb server to send metrics to
# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
# 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://127.0.0.1:8089"] # UDP endpoint example
urls = ["http://127.0.0.1:8086"] # 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 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"]
## 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"
## 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
# username = "telegraf"
# password = "metricsmetricsmetricsmetrics"
# Set the user agent for HTTP POSTs (can be useful for log differentiation)
## HTTP User-Agent
# user_agent = "telegraf"
# Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)
# udp_payload = 512
## 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
###############################################################################
# INPUTS #
# INPUT PLUGINS #
###############################################################################
# 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,
@ -120,8 +271,8 @@
"% Disk Time",
"% Disk Read Time",
"% Disk Write Time",
"Current Disk Queue Length",
"% Free Space",
"Current Disk Queue Length",
"Free Megabytes",
]
Measurement = "win_disk"
@ -187,7 +338,6 @@
"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 = ["------"]
@ -205,44 +355,31 @@
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
# ## Comment this line if you want the raw CPU time metrics
# fielddrop = ["time_*"]
# ## 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
# # Read metrics about disk usage by mount point
# [[inputs.disk]]
# ## By default, telegraf gather stats for all mountpoints.
# ## Setting mountpoints will restrict the stats to the specified mountpoints.
# ## mount_points=["/"]
# ## 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 = ["/"]
#
# ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually
# ## present on /run, /var/run, /dev/shm or /dev).
# # ignore_fs = ["tmpfs", "devtmpfs", "devfs", "overlay", "aufs", "squashfs"]
# ## Ignore mount points by filesystem type.
# ignore_fs = ["tmpfs", "devtmpfs", "devfs", "overlay", "aufs", "squashfs"]
# # Read metrics about disk IO by device
@ -250,9 +387,26 @@
# ## 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"]
# ## Uncomment the following line if you do not need disk serial numbers.
# ## skip_serial_number = true
# # 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"]
# # Read metrics about memory usage
@ -263,4 +417,3 @@
# # Read metrics about swap memory usage
# [[inputs.swap]]
# # no configuration

18
filter/filter_test.go
View File

@ -37,6 +37,24 @@ 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) {

154
go.mod Normal file
View File

@ -0,0 +1,154 @@
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/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/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/eclipse/paho.mqtt.golang v1.2.0
github.com/ericchiang/k8s v1.2.0
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/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

890
go.sum Normal file
View File

@ -0,0 +1,890 @@
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=
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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=

19
input.go
View File

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

76
internal/buffer/buffer.go
View File

@ -1,76 +0,0 @@
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
}

100
internal/buffer/buffer_test.go
View File

@ -1,100 +0,0 @@
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())
}

36
internal/choice/choice.go Normal file
View File

@ -0,0 +1,36 @@
// 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
}

4
internal/config/testdata/subconfig/..4984_10_04_08_28_06.119/invalid-config.conf vendored
View File

@ -1,4 +0,0 @@
# This invalid config file should be skipped during testing
# as it is an ..data folder
[[outputs.influxdb

182
internal/content_coding.go Normal file
View File

@ -0,0 +1,182 @@
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
}

94
internal/content_coding_test.go Normal file
View File

@ -0,0 +1,94 @@
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])
}

36
internal/docker/docker.go Normal file
View File

@ -0,0 +1,36 @@
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
}

59
internal/docker/docker_test.go Normal file
View File

@ -0,0 +1,59 @@
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)
})
}
}

30
internal/exec.go Normal file
View File

@ -0,0 +1,30 @@
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)
}

58
internal/exec_unix.go Normal file
View File

@ -0,0 +1,58 @@
// +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
}

41
internal/exec_windows.go Normal file
View File

@ -0,0 +1,41 @@
// +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
}

128
internal/globpath/globpath.go
View File

@ -1,110 +1,116 @@
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
HasSuperMeta bool
rootGlob string
g glob.Glob
root string
}
func Compile(path string) (*GlobPath, error) {
out := GlobPath{
hasMeta: hasMeta(path),
hasSuperMeta: hasSuperMeta(path),
path: path,
HasSuperMeta: hasSuperMeta(path),
path: filepath.FromSlash(path),
}
// if there are no glob meta characters in the path, don't bother compiling
// a glob object or finding the root directory. (see short-circuit in Match)
if !out.hasMeta || !out.hasSuperMeta {
// a glob object
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
}
func (g *GlobPath) Match() map[string]os.FileInfo {
// 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 {
if !g.hasMeta {
out := make(map[string]os.FileInfo)
info, err := os.Stat(g.path)
if err == nil {
out[g.path] = info
}
return out
return []string{g.path}
}
if !g.hasSuperMeta {
out := make(map[string]os.FileInfo)
if !g.HasSuperMeta {
files, _ := filepath.Glob(g.path)
for _, file := range files {
info, err := os.Stat(file)
if err == nil {
out[file] = info
}
}
return out
return files
}
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
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 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 == "" {
}
for _, root := range roots {
fileinfo, err := os.Stat(root)
if err != nil {
continue
}
if hasMeta(item) {
break
if !fileinfo.IsDir() {
if g.MatchString(root) {
out = append(out, root)
}
continue
}
out += item + sepStr
}
if out != "/" {
out = strings.TrimSuffix(out, "/")
godirwalk.Walk(root, &godirwalk.Options{
Callback: walkfn,
Unsorted: true,
})
}
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

46
internal/globpath/globpath_test.go
View File

@ -1,12 +1,10 @@
package globpath
import (
"os"
"runtime"
"strings"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
@ -29,31 +27,32 @@ func TestCompileAndMatch(t *testing.T) {
require.NoError(t, err)
matches := g1.Match()
assert.Len(t, matches, 6)
require.Len(t, matches, 6)
matches = g2.Match()
assert.Len(t, matches, 2)
require.Len(t, matches, 2)
matches = g3.Match()
assert.Len(t, matches, 1)
require.Len(t, matches, 1)
matches = g4.Match()
assert.Len(t, matches, 0)
require.Len(t, matches, 1)
matches = g5.Match()
assert.Len(t, matches, 0)
require.Len(t, matches, 0)
}
func TestFindRootDir(t *testing.T) {
func TestRootGlob(t *testing.T) {
dir := getTestdataDir()
tests := []struct {
input string
output string
}{
{"/var/log/telegraf.conf", "/var/log"},
{"/home/**", "/home"},
{"/home/*/**", "/home"},
{"/lib/share/*/*/**.txt", "/lib/share"},
{dir + "/**", dir + "/*"},
{dir + "/nested?/**", dir + "/nested?/*"},
{dir + "/ne**/nest*", dir + "/ne*"},
{dir + "/nested?/*", ""},
}
for _, test := range tests {
actual := findRootDir(test.input)
assert.Equal(t, test.output, actual)
actual, _ := Compile(test.input)
require.Equal(t, actual.rootGlob, test.output)
}
}
@ -64,7 +63,7 @@ func TestFindNestedTextFile(t *testing.T) {
require.NoError(t, err)
matches := g1.Match()
assert.Len(t, matches, 1)
require.Len(t, matches, 1)
}
func getTestdataDir() string {
@ -75,10 +74,10 @@ func getTestdataDir() string {
func TestMatch_ErrPermission(t *testing.T) {
tests := []struct {
input string
expected map[string]os.FileInfo
expected []string
}{
{"/root/foo", map[string]os.FileInfo{}},
{"/root/f*", map[string]os.FileInfo{}},
{"/root/foo", []string{"/root/foo"}},
{"/root/f*", []string(nil)},
}
for _, test := range tests {
@ -88,3 +87,14 @@ func TestMatch_ErrPermission(t *testing.T) {
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)
}

9
internal/goplugin/noplugin.go Normal file
View File

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

42
internal/goplugin/plugin.go Normal file
View File

@ -0,0 +1,42 @@
// +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
})
}

108
internal/http.go Normal file
View File

@ -0,0 +1,108 @@
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()
}
}

322
internal/internal.go
View File

@ -3,17 +3,24 @@ package internal
import (
"bufio"
"bytes"
"crypto/rand"
"compress/gzip"
"context"
"errors"
"log"
"math/big"
"fmt"
"io"
"math"
"math/rand"
"os"
"os/exec"
"runtime"
"strconv"
"strings"
"sync"
"syscall"
"time"
"unicode"
"github.com/alecthomas/units"
)
const alphanum string = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
@ -22,13 +29,52 @@ 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
@ -64,6 +110,37 @@ 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) {
@ -126,51 +203,6 @@ 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.
@ -178,12 +210,8 @@ func RandomSleep(max time.Duration, shutdown chan struct{}) {
if max == 0 {
return
}
maxSleep := big.NewInt(max.Nanoseconds())
var sleepns int64
if j, err := rand.Int(rand.Reader, maxSleep); err == nil {
sleepns = j.Int64()
}
sleepns := rand.Int63n(max.Nanoseconds())
t := time.NewTimer(time.Nanosecond * time.Duration(sleepns))
select {
@ -195,6 +223,49 @@ func RandomSleep(max time.Duration, shutdown chan struct{}) {
}
}
// 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
@ -206,3 +277,148 @@ func ExitStatus(err error) (int, bool) {
}
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")
}
}

327
internal/internal_test.go
View File

@ -1,11 +1,19 @@
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 {
@ -60,6 +68,30 @@ 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.")
@ -162,3 +194,298 @@ 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)
}

86
internal/models/makemetric.go
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@ -1,86 +0,0 @@
package models
import (
"log"
"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
}
}
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
}

168
internal/models/running_aggregator.go
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@ -1,168 +0,0 @@
package models
import (
"log"
"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.
log.Printf("D! aggregator: metric \"%s\" is not in the current timewindow, skipping", m.Name())
continue
}
r.add(m)
case <-periodT.C:
r.periodStart = r.periodEnd
r.periodEnd = r.periodStart.Add(r.Config.Period)
r.push(acc)
r.reset()
}
}
}

192
internal/models/running_aggregator_test.go
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@ -1,192 +0,0 @@
package models
import (
"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))
}
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)
}
}
}

102
internal/models/running_input.go
View File

@ -1,102 +0,0 @@
package models
import (
"fmt"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/serializers/influx"
"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 {
s := influx.NewSerializer()
s.SetFieldSortOrder(influx.SortFields)
octets, err := s.Serialize(m)
if err == nil {
fmt.Print("> " + string(octets))
}
}
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
}

194
internal/models/running_output.go
View File

@ -1,194 +0,0 @@
package models
import (
"log"
"sync"
"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
// Guards against concurrent calls to the Output as described in #3009
sync.Mutex
}
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.Set(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
}
ro.Lock()
defer ro.Unlock()
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
}

51
internal/models/running_processor.go
View File

@ -1,51 +0,0 @@
package models
import (
"sync"
"github.com/influxdata/telegraf"
)
type RunningProcessor struct {
Name string
sync.Mutex
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 {
rp.Lock()
defer rp.Unlock()
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
}

117
internal/models/running_processor_test.go
View File

@ -1,117 +0,0 @@
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)
}

185
internal/rotate/file_writer.go Normal file
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@ -0,0 +1,185 @@
package rotate
// Rotating things
import (
"fmt"
"io"
"os"
"path/filepath"
"sort"
"strconv"
"strings"
"sync"
"time"
)
// FilePerm defines the permissions that Writer will use for all
// the files it creates.
const (
FilePerm = os.FileMode(0644)
DateFormat = "2006-01-02"
)
// FileWriter implements the io.Writer interface and writes to the
// filename specified.
// Will rotate at the specified interval and/or when the current file size exceeds maxSizeInBytes
// At rotation time, current file is renamed and a new file is created.
// If the number of archives exceeds maxArchives, older files are deleted.
type FileWriter struct {
filename string
filenameRotationTemplate string
current *os.File
interval time.Duration
maxSizeInBytes int64
maxArchives int
expireTime time.Time
bytesWritten int64
sync.Mutex
}
// NewFileWriter creates a new file writer.
func NewFileWriter(filename string, interval time.Duration, maxSizeInBytes int64, maxArchives int) (io.WriteCloser, error) {
if interval == 0 && maxSizeInBytes <= 0 {
// No rotation needed so a basic io.Writer will do the trick
return openFile(filename)
}
w := &FileWriter{
filename: filename,
interval: interval,
maxSizeInBytes: maxSizeInBytes,
maxArchives: maxArchives,
filenameRotationTemplate: getFilenameRotationTemplate(filename),
}
if err := w.openCurrent(); err != nil {
return nil, err
}
return w, nil
}
func openFile(filename string) (*os.File, error) {
return os.OpenFile(filename, os.O_RDWR|os.O_CREATE|os.O_APPEND, FilePerm)
}
func getFilenameRotationTemplate(filename string) string {
// Extract the file extension
fileExt := filepath.Ext(filename)
// Remove the file extension from the filename (if any)
stem := strings.TrimSuffix(filename, fileExt)
return stem + ".%s-%s" + fileExt
}
// Write writes p to the current file, then checks to see if
// rotation is necessary.
func (w *FileWriter) Write(p []byte) (n int, err error) {
w.Lock()
defer w.Unlock()
if n, err = w.current.Write(p); err != nil {
return 0, err
}
w.bytesWritten += int64(n)
if err = w.rotateIfNeeded(); err != nil {
return 0, err
}
return n, nil
}
// Close closes the current file. Writer is unusable after this
// is called.
func (w *FileWriter) Close() (err error) {
w.Lock()
defer w.Unlock()
// Rotate before closing
if err = w.rotate(); err != nil {
return err
}
w.current = nil
return nil
}
func (w *FileWriter) openCurrent() (err error) {
// In case ModTime() fails, we use time.Now()
w.expireTime = time.Now().Add(w.interval)
w.bytesWritten = 0
w.current, err = openFile(w.filename)
if err != nil {
return err
}
// Goal here is to rotate old pre-existing files.
// For that we use fileInfo.ModTime, instead of time.Now().
// Example: telegraf is restarted every 23 hours and
// the rotation interval is set to 24 hours.
// With time.now() as a reference we'd never rotate the file.
if fileInfo, err := w.current.Stat(); err == nil {
w.expireTime = fileInfo.ModTime().Add(w.interval)
w.bytesWritten = fileInfo.Size()
}
if err = w.rotateIfNeeded(); err != nil {
return err
}
return nil
}
func (w *FileWriter) rotateIfNeeded() error {
if (w.interval > 0 && time.Now().After(w.expireTime)) ||
(w.maxSizeInBytes > 0 && w.bytesWritten >= w.maxSizeInBytes) {
if err := w.rotate(); err != nil {
//Ignore rotation errors and keep the log open
fmt.Printf("unable to rotate the file '%s', %s", w.filename, err.Error())
}
return w.openCurrent()
}
return nil
}
func (w *FileWriter) rotate() (err error) {
if err = w.current.Close(); err != nil {
return err
}
// Use year-month-date for readability, unix time to make the file name unique with second precision
now := time.Now()
rotatedFilename := fmt.Sprintf(w.filenameRotationTemplate, now.Format(DateFormat), strconv.FormatInt(now.Unix(), 10))
if err = os.Rename(w.filename, rotatedFilename); err != nil {
return err
}
if err = w.purgeArchivesIfNeeded(); err != nil {
return err
}
return nil
}
func (w *FileWriter) purgeArchivesIfNeeded() (err error) {
if w.maxArchives == -1 {
//Skip archiving
return nil
}
var matches []string
if matches, err = filepath.Glob(fmt.Sprintf(w.filenameRotationTemplate, "*", "*")); err != nil {
return err
}
//if there are more archives than the configured maximum, then purge older files
if len(matches) > w.maxArchives {
//sort files alphanumerically to delete older files first
sort.Strings(matches)
for _, filename := range matches[:len(matches)-w.maxArchives] {
if err = os.Remove(filename); err != nil {
return err
}
}
}
return nil
}

148
internal/rotate/file_writer_test.go Normal file
View File

@ -0,0 +1,148 @@
package rotate
import (
"io/ioutil"
"os"
"path/filepath"
"testing"
"time"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestFileWriter_NoRotation(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationNo")
require.NoError(t, err)
writer, err := NewFileWriter(filepath.Join(tempDir, "test"), 0, 0, 0)
require.NoError(t, err)
defer func() { writer.Close(); os.RemoveAll(tempDir) }()
_, err = writer.Write([]byte("Hello World"))
require.NoError(t, err)
_, err = writer.Write([]byte("Hello World 2"))
require.NoError(t, err)
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 1, len(files))
}
func TestFileWriter_TimeRotation(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationTime")
require.NoError(t, err)
interval, _ := time.ParseDuration("1s")
writer, err := NewFileWriter(filepath.Join(tempDir, "test"), interval, 0, -1)
require.NoError(t, err)
defer func() { writer.Close(); os.RemoveAll(tempDir) }()
_, err = writer.Write([]byte("Hello World"))
require.NoError(t, err)
time.Sleep(1 * time.Second)
_, err = writer.Write([]byte("Hello World 2"))
require.NoError(t, err)
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 2, len(files))
}
func TestFileWriter_ReopenTimeRotation(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationTime")
require.NoError(t, err)
interval, _ := time.ParseDuration("1s")
filePath := filepath.Join(tempDir, "test.log")
err = ioutil.WriteFile(filePath, []byte("Hello World"), 0644)
time.Sleep(1 * time.Second)
assert.NoError(t, err)
writer, err := NewFileWriter(filepath.Join(tempDir, "test.log"), interval, 0, -1)
require.NoError(t, err)
defer func() { writer.Close(); os.RemoveAll(tempDir) }()
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 2, len(files))
}
func TestFileWriter_SizeRotation(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationSize")
require.NoError(t, err)
maxSize := int64(9)
writer, err := NewFileWriter(filepath.Join(tempDir, "test.log"), 0, maxSize, -1)
require.NoError(t, err)
defer func() { writer.Close(); os.RemoveAll(tempDir) }()
_, err = writer.Write([]byte("Hello World"))
require.NoError(t, err)
_, err = writer.Write([]byte("World 2"))
require.NoError(t, err)
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 2, len(files))
}
func TestFileWriter_ReopenSizeRotation(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationSize")
require.NoError(t, err)
maxSize := int64(12)
filePath := filepath.Join(tempDir, "test.log")
err = ioutil.WriteFile(filePath, []byte("Hello World"), 0644)
assert.NoError(t, err)
writer, err := NewFileWriter(filepath.Join(tempDir, "test.log"), 0, maxSize, -1)
require.NoError(t, err)
defer func() { writer.Close(); os.RemoveAll(tempDir) }()
_, err = writer.Write([]byte("Hello World Again"))
require.NoError(t, err)
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 2, len(files))
}
func TestFileWriter_DeleteArchives(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationDeleteArchives")
require.NoError(t, err)
maxSize := int64(5)
writer, err := NewFileWriter(filepath.Join(tempDir, "test.log"), 0, maxSize, 2)
require.NoError(t, err)
defer func() { writer.Close(); os.RemoveAll(tempDir) }()
_, err = writer.Write([]byte("First file"))
require.NoError(t, err)
// File names include the date with second precision
// So, to force rotation with different file names
// we need to wait
time.Sleep(1 * time.Second)
_, err = writer.Write([]byte("Second file"))
require.NoError(t, err)
time.Sleep(1 * time.Second)
_, err = writer.Write([]byte("Third file"))
require.NoError(t, err)
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 3, len(files))
for _, tempFile := range files {
var bytes []byte
var err error
path := filepath.Join(tempDir, tempFile.Name())
if bytes, err = ioutil.ReadFile(path); err != nil {
t.Error(err.Error())
return
}
contents := string(bytes)
if contents != "" && contents != "Second file" && contents != "Third file" {
t.Error("Should have deleted the eldest log file")
return
}
}
}
func TestFileWriter_CloseRotates(t *testing.T) {
tempDir, err := ioutil.TempDir("", "RotationClose")
require.NoError(t, err)
defer os.RemoveAll(tempDir)
maxSize := int64(9)
writer, err := NewFileWriter(filepath.Join(tempDir, "test.log"), 0, maxSize, -1)
require.NoError(t, err)
writer.Close()
files, _ := ioutil.ReadDir(tempDir)
assert.Equal(t, 1, len(files))
assert.Regexp(t, "^test\\.[^\\.]+\\.log$", files[0].Name())
}

64
internal/syslog/framing.go Normal file
View File

@ -0,0 +1,64 @@
package syslog
import (
"fmt"
"strings"
)
// Framing represents the framing technique we expect the messages to come.
type Framing int
const (
// OctetCounting indicates the transparent framing technique for syslog transport.
OctetCounting Framing = iota
// NonTransparent indicates the non-transparent framing technique for syslog transport.
NonTransparent
)
func (f Framing) String() string {
switch f {
case OctetCounting:
return "OCTET-COUNTING"
case NonTransparent:
return "NON-TRANSPARENT"
}
return ""
}
// UnmarshalTOML implements ability to unmarshal framing from TOML files.
func (f *Framing) UnmarshalTOML(data []byte) (err error) {
return f.UnmarshalText(data)
}
// UnmarshalText implements encoding.TextUnmarshaler
func (f *Framing) UnmarshalText(data []byte) (err error) {
s := string(data)
switch strings.ToUpper(s) {
case `OCTET-COUNTING`:
fallthrough
case `"OCTET-COUNTING"`:
fallthrough
case `'OCTET-COUNTING'`:
*f = OctetCounting
return
case `NON-TRANSPARENT`:
fallthrough
case `"NON-TRANSPARENT"`:
fallthrough
case `'NON-TRANSPARENT'`:
*f = NonTransparent
return
}
*f = -1
return fmt.Errorf("unknown framing")
}
// MarshalText implements encoding.TextMarshaler
func (f Framing) MarshalText() ([]byte, error) {
s := f.String()
if s != "" {
return []byte(s), nil
}
return nil, fmt.Errorf("unknown framing")
}

37
internal/syslog/framing_test.go Normal file
View File

@ -0,0 +1,37 @@
package syslog
import (
"github.com/stretchr/testify/assert"
"testing"
)
func TestFraming(t *testing.T) {
var f1 Framing
f1.UnmarshalTOML([]byte(`"non-transparent"`))
assert.Equal(t, NonTransparent, f1)
var f2 Framing
f2.UnmarshalTOML([]byte(`non-transparent`))
assert.Equal(t, NonTransparent, f2)
var f3 Framing
f3.UnmarshalTOML([]byte(`'non-transparent'`))
assert.Equal(t, NonTransparent, f3)
var f4 Framing
f4.UnmarshalTOML([]byte(`"octet-counting"`))
assert.Equal(t, OctetCounting, f4)
var f5 Framing
f5.UnmarshalTOML([]byte(`octet-counting`))
assert.Equal(t, OctetCounting, f5)
var f6 Framing
f6.UnmarshalTOML([]byte(`'octet-counting'`))
assert.Equal(t, OctetCounting, f6)
var f7 Framing
err := f7.UnmarshalTOML([]byte(`nope`))
assert.Equal(t, Framing(-1), f7)
assert.Error(t, err)
}

77
internal/templating/engine_test.go Normal file
View File

@ -0,0 +1,77 @@
package templating
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestEngineAlternateSeparator(t *testing.T) {
defaultTemplate, _ := NewDefaultTemplateWithPattern("topic*")
engine, err := NewEngine("_", defaultTemplate, []string{
"/ /*/*/* /measurement/origin/measurement*",
})
require.NoError(t, err)
name, tags, field, err := engine.Apply("/telegraf/host01/cpu")
require.NoError(t, err)
require.Equal(t, "telegraf_cpu", name)
require.Equal(t, map[string]string{
"origin": "host01",
}, tags)
require.Equal(t, "", field)
}
func TestEngineWithWildcardTemplate(t *testing.T) {
var (
defaultTmpl, err = NewDefaultTemplateWithPattern("measurement*")
templates = []string{
"taskmanagerTask.alarm-detector.Assign.alarmDefinitionId metricsType.process.nodeId.x.alarmDefinitionId.measurement.field rule=1",
"taskmanagerTask.*.*.*.* metricsType.process.nodeId.measurement rule=2",
}
)
require.NoError(t, err)
engine, err := NewEngine(".", defaultTmpl, templates)
require.NoError(t, err)
for _, testCase := range []struct {
line string
measurement string
field string
tags map[string]string
}{
{
line: "taskmanagerTask.alarm-detector.Assign.alarmDefinitionId.timeout_errors.duration.p75",
measurement: "duration",
field: "p75",
tags: map[string]string{
"metricsType": "taskmanagerTask",
"process": "alarm-detector",
"nodeId": "Assign",
"x": "alarmDefinitionId",
"alarmDefinitionId": "timeout_errors",
"rule": "1",
},
},
{
line: "taskmanagerTask.alarm-detector.Assign.numRecordsInPerSecond.m5_rate",
measurement: "numRecordsInPerSecond",
tags: map[string]string{
"metricsType": "taskmanagerTask",
"process": "alarm-detector",
"nodeId": "Assign",
"rule": "2",
},
},
} {
t.Run(testCase.line, func(t *testing.T) {
measurement, tags, field, err := engine.Apply(testCase.line)
require.NoError(t, err)
assert.Equal(t, testCase.measurement, measurement)
assert.Equal(t, testCase.field, field)
assert.Equal(t, testCase.tags, tags)
})
}
}

38
internal/templating/node.go
View File

@ -55,32 +55,44 @@ func (n *node) search(line string) *Template {
// recursiveSearch performs the actual recursive search
func (n *node) recursiveSearch(lineParts []string) *Template {
// Nothing to search
// nothing to search
if len(lineParts) == 0 || len(n.children) == 0 {
return n.template
}
// If last element is a wildcard, don't include it in this search since it's sorted
// to the end but lexicographically it would not always be and sort.Search assumes
// the slice is sorted.
length := len(n.children)
if n.children[length-1].value == "*" {
var (
hasWildcard bool
length = len(n.children)
)
// exclude last child from search if it is a wildcard. sort.Search expects
// a lexicographically sorted set of children and we have artificially sorted
// wildcards to the end of the child set
// wildcards will be searched separately if no exact match is found
if hasWildcard = n.children[length-1].value == "*"; hasWildcard {
length--
}
// Find the index of child with an exact match
i := sort.Search(length, func(i int) bool {
return n.children[i].value >= lineParts[0]
})
// Found an exact match, so search that child sub-tree
if i < len(n.children) && n.children[i].value == lineParts[0] {
return n.children[i].recursiveSearch(lineParts[1:])
// given an exact match is found within children set
if i < length && n.children[i].value == lineParts[0] {
// descend into the matching node
if tmpl := n.children[i].recursiveSearch(lineParts[1:]); tmpl != nil {
// given a template is found return it
return tmpl
}
}
// Not an exact match, see if we have a wildcard child to search
if n.children[len(n.children)-1].value == "*" {
return n.children[len(n.children)-1].recursiveSearch(lineParts[1:])
// given no template is found and the last child is a wildcard
if hasWildcard {
// also search the wildcard child node
return n.children[length].recursiveSearch(lineParts[1:])
}
// fallback to returning template at this node
return n.template
}

17
internal/templating/template.go
View File

@ -124,21 +124,16 @@ type templateSpecs []templateSpec
// Less reports whether the element with
// index j should sort before the element with index k.
func (e templateSpecs) Less(j, k int) bool {
if len(e[j].filter) == 0 && len(e[k].filter) == 0 {
jlength := len(strings.Split(e[j].template, e[j].separator))
klength := len(strings.Split(e[k].template, e[k].separator))
return jlength < klength
}
if len(e[j].filter) == 0 {
jlen := len(e[j].filter)
klen := len(e[k].filter)
if jlen == 0 && klen != 0 {
return true
}
if len(e[k].filter) == 0 {
if klen == 0 && jlen != 0 {
return false
}
jlength := len(strings.Split(e[j].template, e[j].separator))
klength := len(strings.Split(e[k].template, e[k].separator))
return jlength < klength
return strings.Count(e[j].template, e[j].separator) <
strings.Count(e[k].template, e[k].separator)
}
// Swap swaps the elements with indexes i and j.

14
internal/templating/template_test.go Normal file
View File

@ -0,0 +1,14 @@
package templating
import "testing"
func BenchmarkTemplateLess(b *testing.B) {
a := templateSpec{
template: "aa|bb|cc|dd|ee|ff",
separator: "|",
}
specs := templateSpecs{a, a}
for i := 0; i < b.N; i++ {
specs.Less(0, 1)
}
}

38
internal/tls/common.go Normal file
View File

@ -0,0 +1,38 @@
package tls
import "crypto/tls"
var tlsVersionMap = map[string]uint16{
"TLS10": tls.VersionTLS10,
"TLS11": tls.VersionTLS11,
"TLS12": tls.VersionTLS12,
"TLS13": tls.VersionTLS13,
}
var tlsCipherMap = map[string]uint16{
"TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305": tls.TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305,
"TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305": tls.TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305,
"TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256": tls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,
"TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256": tls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,
"TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384": tls.TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384,
"TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384": tls.TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384,
"TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256": tls.TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256,
"TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA": tls.TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA,
"TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256": tls.TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256,
"TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA": tls.TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA,
"TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA": tls.TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA,
"TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA": tls.TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA,
"TLS_RSA_WITH_AES_128_GCM_SHA256": tls.TLS_RSA_WITH_AES_128_GCM_SHA256,
"TLS_RSA_WITH_AES_256_GCM_SHA384": tls.TLS_RSA_WITH_AES_256_GCM_SHA384,
"TLS_RSA_WITH_AES_128_CBC_SHA256": tls.TLS_RSA_WITH_AES_128_CBC_SHA256,
"TLS_RSA_WITH_AES_128_CBC_SHA": tls.TLS_RSA_WITH_AES_128_CBC_SHA,
"TLS_RSA_WITH_AES_256_CBC_SHA": tls.TLS_RSA_WITH_AES_256_CBC_SHA,
"TLS_ECDHE_RSA_WITH_3DES_EDE_CBC_SHA": tls.TLS_ECDHE_RSA_WITH_3DES_EDE_CBC_SHA,
"TLS_RSA_WITH_3DES_EDE_CBC_SHA": tls.TLS_RSA_WITH_3DES_EDE_CBC_SHA,
"TLS_RSA_WITH_RC4_128_SHA": tls.TLS_RSA_WITH_RC4_128_SHA,
"TLS_ECDHE_RSA_WITH_RC4_128_SHA": tls.TLS_ECDHE_RSA_WITH_RC4_128_SHA,
"TLS_ECDHE_ECDSA_WITH_RC4_128_SHA": tls.TLS_ECDHE_ECDSA_WITH_RC4_128_SHA,
"TLS_AES_128_GCM_SHA256": tls.TLS_AES_128_GCM_SHA256,
"TLS_AES_256_GCM_SHA384": tls.TLS_AES_256_GCM_SHA384,
"TLS_CHACHA20_POLY1305_SHA256": tls.TLS_CHACHA20_POLY1305_SHA256,
}

36
internal/tls/config.go
View File

@ -5,6 +5,7 @@ import (
"crypto/x509"
"fmt"
"io/ioutil"
"strings"
)
// ClientConfig represents the standard client TLS config.
@ -25,6 +26,9 @@ type ServerConfig struct {
TLSCert string `toml:"tls_cert"`
TLSKey string `toml:"tls_key"`
TLSAllowedCACerts []string `toml:"tls_allowed_cacerts"`
TLSCipherSuites []string `toml:"tls_cipher_suites"`
TLSMinVersion string `toml:"tls_min_version"`
TLSMaxVersion string `toml:"tls_max_version"`
}
// TLSConfig returns a tls.Config, may be nil without error if TLS is not
@ -97,6 +101,38 @@ func (c *ServerConfig) TLSConfig() (*tls.Config, error) {
}
}
if len(c.TLSCipherSuites) != 0 {
cipherSuites, err := ParseCiphers(c.TLSCipherSuites)
if err != nil {
return nil, fmt.Errorf(
"could not parse server cipher suites %s: %v", strings.Join(c.TLSCipherSuites, ","), err)
}
tlsConfig.CipherSuites = cipherSuites
}
if c.TLSMaxVersion != "" {
version, err := ParseTLSVersion(c.TLSMaxVersion)
if err != nil {
return nil, fmt.Errorf(
"could not parse tls max version %q: %v", c.TLSMaxVersion, err)
}
tlsConfig.MaxVersion = version
}
if c.TLSMinVersion != "" {
version, err := ParseTLSVersion(c.TLSMinVersion)
if err != nil {
return nil, fmt.Errorf(
"could not parse tls min version %q: %v", c.TLSMinVersion, err)
}
tlsConfig.MinVersion = version
}
if tlsConfig.MinVersion != 0 && tlsConfig.MaxVersion != 0 && tlsConfig.MinVersion > tlsConfig.MaxVersion {
return nil, fmt.Errorf(
"tls min version %q can't be greater than tls max version %q", tlsConfig.MinVersion, tlsConfig.MaxVersion)
}
return tlsConfig, nil
}

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