Small readme formattings
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CONTRIBUTING.md
119
CONTRIBUTING.md
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@ -12,6 +12,13 @@ but any information you can provide on how the data will look is appreciated.
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See the [OpenTSDB output](https://github.com/influxdata/telegraf/tree/master/plugins/outputs/opentsdb)
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for a good example.
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## GoDoc
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Public interfaces for inputs, outputs, metrics, and the accumulator can be found
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on the GoDoc
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[![GoDoc](https://godoc.org/github.com/influxdata/telegraf?status.svg)](https://godoc.org/github.com/influxdata/telegraf)
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## Sign the CLA
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Before we can merge a pull request, you will need to sign the CLA,
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@ -29,7 +36,7 @@ Assuming you can already build the project, run these in the telegraf directory:
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This section is for developers who want to create new collection inputs.
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Telegraf is entirely plugin driven. This interface allows for operators to
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pick and chose what is gathered as well as makes it easy for developers
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pick and chose what is gathered and makes it easy for developers
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to create new ways of generating metrics.
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Plugin authorship is kept as simple as possible to promote people to develop
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@ -46,49 +53,8 @@ See below for a quick example.
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plugin can be configured. This is include in `telegraf -sample-config`.
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* The `Description` function should say in one line what this plugin does.
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### Input interface
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```go
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type Input interface {
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SampleConfig() string
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Description() string
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Gather(Accumulator) error
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}
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type Accumulator interface {
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Add(measurement string,
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value interface{},
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tags map[string]string,
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timestamp ...time.Time)
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AddFields(measurement string,
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fields map[string]interface{},
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tags map[string]string,
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timestamp ...time.Time)
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}
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```
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### Accumulator
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The way that a plugin emits metrics is by interacting with the Accumulator.
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The `Add` function takes 3 arguments:
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* **measurement**: A string description of the metric. For instance `bytes_read` or `
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faults`.
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* **value**: A value for the metric. This accepts 5 different types of value:
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* **int**: The most common type. All int types are accepted but favor using `int64`
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Useful for counters, etc.
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* **float**: Favor `float64`, useful for gauges, percentages, etc.
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* **bool**: `true` or `false`, useful to indicate the presence of a state. `light_on`,
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etc.
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* **string**: Typically used to indicate a message, or some kind of freeform
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information.
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* **time.Time**: Useful for indicating when a state last occurred, for instance `
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light_on_since`.
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* **tags**: This is a map of strings to strings to describe the where or who
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about the metric. For instance, the `net` plugin adds a tag named `"interface"`
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set to the name of the network interface, like `"eth0"`.
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Let's say you've written a plugin that emits metrics about processes on the current host.
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Let's say you've written a plugin that emits metrics about processes on the
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current host.
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### Input Plugin Example
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@ -194,18 +160,6 @@ and `Stop()` methods.
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* Same as the `Plugin` guidelines, except that they must conform to the
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`inputs.ServiceInput` interface.
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### Service Plugin interface
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```go
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type ServicePlugin interface {
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SampleConfig() string
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Description() string
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Gather(Accumulator) error
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Start() error
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Stop()
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}
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```
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## Output Plugins
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This section is for developers who want to create a new output sink. Outputs
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@ -223,18 +177,6 @@ See below for a quick example.
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output can be configured. This is include in `telegraf -sample-config`.
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* The `Description` function should say in one line what this output does.
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### Output interface
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```go
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type Output interface {
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Connect() error
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Close() error
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Description() string
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SampleConfig() string
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Write(metrics []telegraf.Metric) error
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}
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```
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### Output Example
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```go
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@ -282,6 +224,33 @@ func init() {
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```
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## Output Plugins Writing Arbitrary Data Formats
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Some output plugins (such as
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[file](https://github.com/influxdata/telegraf/tree/master/plugins/outputs/file))
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can write arbitrary output data formats. An overview of these data formats can
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be found
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[here](https://github.com/influxdata/telegraf/blob/master/DATA_FORMATS_OUTPUT.md).
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In order to enable this, you must specify a
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`SetSerializer(serializer serializers.Serializer)`
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function on the plugin object (see the file plugin for an example), as well as
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defining `serializer` as a field of the object.
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You can then utilize the serializer internally in your plugin, serializing data
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before it's written. Telegraf's configuration layer will take care of
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instantiating and creating the `Serializer` object.
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You should also add the following to your SampleConfig() return:
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```toml
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### Data format to output. This can be "influx" or "graphite"
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### Each data format has it's own unique set of configuration options, read
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### more about them here:
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### https://github.com/influxdata/telegraf/blob/master/DATA_FORMATS_OUTPUT.md
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data_format = "influx"
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```
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## Service Output Plugins
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This section is for developers who want to create new "service" output. A
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@ -297,20 +266,6 @@ and `Stop()` methods.
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* Same as the `Output` guidelines, except that they must conform to the
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`output.ServiceOutput` interface.
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### Service Output interface
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```go
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type ServiceOutput interface {
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Connect() error
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Close() error
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Description() string
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SampleConfig() string
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Write(metrics []telegraf.Metric) error
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Start() error
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Stop()
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}
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```
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## Unit Tests
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### Execute short tests
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@ -10,19 +10,24 @@ are a combination of four basic parts:
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1. Timestamp
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In InfluxDB line protocol, these 4 parts are easily defined in textual form:
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`measurement_name[,tag1=val1,...] field1=val1[,field2=val2,...] [timestamp]`
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```
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measurement_name[,tag1=val1,...] field1=val1[,field2=val2,...] [timestamp]
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```
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For Telegraf outputs that write textual data (such as `kafka`, `mqtt`, and `file`),
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InfluxDB line protocol was originally the only available output format. But now
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we are normalizing telegraf metric "serializers" into a plugin-like format across
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all output plugins that can support it. You will be able to identify a plugin
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that supports different data formats by the presence of a `data_format`
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config option, for example, in the file plugin:
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we are normalizing telegraf metric "serializers" into a
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[plugin-like interface](https://github.com/influxdata/telegraf/tree/master/plugins/serializers)
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across all output plugins that can support it.
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You will be able to identify a plugin that supports different data formats
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by the presence of a `data_format`
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config option, for example, in the `file` output plugin:
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```toml
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[[outputs.file]]
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### Files to write to, "stdout" is a specially handled file.
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files = ["stdout", "/tmp/metrics.out"]
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files = ["stdout"]
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### Data format to output. This can be "influx" or "graphite"
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### Each data format has it's own unique set of configuration options, read
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@ -2,6 +2,7 @@ package prometheus_client
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import (
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"testing"
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"time"
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"github.com/stretchr/testify/require"
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}
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pTesting = &PrometheusClient{Listen: "localhost:9127"}
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err := pTesting.Start()
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time.Sleep(time.Millisecond * 200)
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require.NoError(t, err)
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defer pTesting.Stop()
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