parent
316fa1cc01
commit
eb2a4dc724
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@ -16,8 +16,6 @@ and submit new plugins.
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### Plugin Guidelines
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* A plugin must conform to the `plugins.Plugin` interface.
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* Telegraf promises to run each plugin's Gather function serially. This means
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developers don't have to worry about thread safety within these functions.
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* Each generated metric automatically has the name of the plugin that generated
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it prepended. This is to keep plugins honest.
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* Plugins should call `plugins.Add` in their `init` function to register themselves.
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14
agent.go
14
agent.go
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@ -361,6 +361,20 @@ func (a *Agent) Run(shutdown chan struct{}) error {
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var wg sync.WaitGroup
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for _, plugin := range a.plugins {
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// Start service of any ServicePlugins
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switch p := plugin.plugin.(type) {
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case plugins.ServicePlugin:
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if err := p.Start(); err != nil {
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log.Printf("Service for plugin %s failed to start, exiting\n%s\n",
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plugin.name, err.Error())
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return err
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}
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defer p.Stop()
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}
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// Special handling for plugins that have their own collection interval
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// configured. Default intervals are handled below with crankParallel
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if plugin.config.Interval != 0 {
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wg.Add(1)
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go func(plugin *runningPlugin) {
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52
config.go
52
config.go
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@ -377,18 +377,25 @@ var header = `# Telegraf configuration
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[outputs]
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`
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var header2 = `
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var pluginHeader = `
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###############################################################################
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# PLUGINS #
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###############################################################################
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`
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var servicePluginHeader = `
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###############################################################################
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# SERVICE PLUGINS #
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###############################################################################
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`
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// PrintSampleConfig prints the sample config
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func PrintSampleConfig(pluginFilters []string, outputFilters []string) {
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fmt.Printf(header)
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// Print Outputs
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// Filter outputs
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var onames []string
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for oname := range outputs.Outputs {
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if len(outputFilters) == 0 || sliceContains(oname, outputFilters) {
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@ -397,6 +404,7 @@ func PrintSampleConfig(pluginFilters []string, outputFilters []string) {
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}
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sort.Strings(onames)
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// Print Outputs
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for _, oname := range onames {
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creator := outputs.Outputs[oname]
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output := creator()
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@ -411,9 +419,7 @@ func PrintSampleConfig(pluginFilters []string, outputFilters []string) {
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}
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}
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fmt.Printf(header2)
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// Print Plugins
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// Filter plugins
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var pnames []string
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for pname := range plugins.Plugins {
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if len(pluginFilters) == 0 || sliceContains(pname, pluginFilters) {
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@ -422,18 +428,36 @@ func PrintSampleConfig(pluginFilters []string, outputFilters []string) {
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}
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sort.Strings(pnames)
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// Print Plugins
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fmt.Printf(pluginHeader)
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servPlugins := make(map[string]plugins.ServicePlugin)
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for _, pname := range pnames {
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creator := plugins.Plugins[pname]
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plugin := creator()
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fmt.Printf("\n# %s\n[%s]", plugin.Description(), pname)
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config := plugin.SampleConfig()
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if config == "" {
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fmt.Printf("\n # no configuration\n")
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} else {
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fmt.Printf(config)
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switch p := plugin.(type) {
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case plugins.ServicePlugin:
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servPlugins[pname] = p
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continue
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}
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printConfig(pname, plugin)
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}
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// Print Service Plugins
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fmt.Printf(servicePluginHeader)
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for name, plugin := range servPlugins {
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printConfig(name, plugin)
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}
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}
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func printConfig(name string, plugin plugins.Plugin) {
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fmt.Printf("\n# %s\n[%s]", plugin.Description(), name)
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config := plugin.SampleConfig()
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if config == "" {
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fmt.Printf("\n # no configuration\n")
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} else {
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fmt.Printf(config)
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}
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}
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@ -449,9 +473,7 @@ func sliceContains(name string, list []string) bool {
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// PrintPluginConfig prints the config usage of a single plugin.
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func PrintPluginConfig(name string) error {
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if creator, ok := plugins.Plugins[name]; ok {
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plugin := creator()
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fmt.Printf("# %s\n[%s]", plugin.Description(), name)
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fmt.Printf(plugin.SampleConfig())
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printConfig(name, creator())
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} else {
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return errors.New(fmt.Sprintf("Plugin %s not found", name))
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}
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@ -28,22 +28,18 @@ type InfluxDB struct {
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var sampleConfig = `
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# The full HTTP endpoint URL for your InfluxDB instance
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# Multiple urls can be specified for InfluxDB cluster support. Server to
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# write to will be randomly chosen each interval.
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urls = ["http://localhost:8086"] # required.
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# Multiple urls can be specified for InfluxDB cluster support.
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urls = ["http://localhost:8086"] # required
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# The target database for metrics (telegraf will create it if not exists)
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database = "telegraf" # required
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# The target database for metrics. This database must already exist
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database = "telegraf" # required.
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# Connection timeout (for the connection with InfluxDB), formatted as a string.
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# Valid time units are "ns", "us" (or "µs"), "ms", "s", "m", "h".
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# If not provided, will default to 0 (no timeout)
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# # Connection timeout (for the connection with InfluxDB), formatted as a string.
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# # Valid time units are "ns", "us" (or "µs"), "ms", "s", "m", "h".
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# # If not provided, will default to 0 (no timeout)
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# timeout = "5s"
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# username = "telegraf"
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# password = "metricsmetricsmetricsmetrics"
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# Set the user agent for the POSTs (can be useful for log differentiation)
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# # Set the user agent for the POSTs (can be useful for log differentiation)
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# user_agent = "telegraf"
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`
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@ -22,6 +22,7 @@ import (
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_ "github.com/influxdb/telegraf/plugins/rabbitmq"
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_ "github.com/influxdb/telegraf/plugins/redis"
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_ "github.com/influxdb/telegraf/plugins/rethinkdb"
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_ "github.com/influxdb/telegraf/plugins/statsd"
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_ "github.com/influxdb/telegraf/plugins/system"
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_ "github.com/influxdb/telegraf/plugins/zookeeper"
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)
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@ -20,11 +20,35 @@ type Accumulator interface {
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}
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type Plugin interface {
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// SampleConfig returns the default configuration of the Plugin
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SampleConfig() string
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// Description returns a one-sentence description on the Plugin
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Description() string
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// Gather takes in an accumulator and adds the metrics that the Plugin
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// gathers. This is called every "interval"
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Gather(Accumulator) error
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}
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type ServicePlugin interface {
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// SampleConfig returns the default configuration of the Plugin
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SampleConfig() string
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// Description returns a one-sentence description on the Plugin
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Description() string
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// Gather takes in an accumulator and adds the metrics that the Plugin
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// gathers. This is called every "interval"
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Gather(Accumulator) error
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// Start starts the ServicePlugin's service, whatever that may be
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Start() error
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// Stop stops the services and closes any necessary channels and connections
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Stop()
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}
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type Creator func() Plugin
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var Plugins = map[string]Creator{}
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@ -0,0 +1,79 @@
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# Telegraf Service Plugin: statsd
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#### Plugin arguments:
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- **service_address** string: Address to listen for statsd UDP packets on
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- **delete_gauges** boolean: Delete gauges on every collection interval
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- **delete_counters** boolean: Delete counters on every collection interval
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- **delete_sets** boolean: Delete set counters on every collection interval
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- **allowed_pending_messages** integer: Number of messages allowed to queue up
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on the UDP listener before the next flush. NOTE: gauge, counter, and set
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measurements are aggregated as they arrive, so this is not a straight counter of
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the number of total messages that the listener can handle between flushes.
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#### Statsd bucket -> InfluxDB Mapping
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By default, statsd buckets are converted to measurement names with the rules:
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- "." -> "_"
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- "-" -> "__"
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This plugin also accepts a list of config tables to describe a mapping of a statsd
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bucket to an InfluxDB measurement name and tags.
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Each mapping must specify a match glob pattern. It can optionally take a name
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for the measurement and a map of bucket indices to tag names.
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For example, the following configuration:
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```
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[[statsd.mappings]]
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match = "users.current.*.*"
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name = "current_users"
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[statsd.mappings.tagmap]
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unit = 0
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server = 2
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service = 3
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[[statsd.mappings]]
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match = "deploys.*.*"
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name = "service_deploys"
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[statsd.mappings.tagmap]
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service_type = 1
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service_name = 2
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```
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Will map statsd -> influx like so:
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```
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users.current.den001.myapp:32|g
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=> [server="den001" service="myapp" unit="users"] statsd_current_users_gauge value=32
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deploys.test.myservice:1|c
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=> [service_name="myservice" service_type="test"] statsd_service_deploys_counter value=1
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random.jumping-sheep:10|c
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=> [] statsd_random_jumping__sheep_counter value=10
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```
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#### Description
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The statsd plugin is a special type of plugin which runs a backgrounded statsd
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listener service while telegraf is running.
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The format of the statsd messages was based on the format described in the
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original [etsy statsd](https://github.com/etsy/statsd/blob/master/docs/metric_types.md)
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implementation. In short, the telegraf statsd listener will accept:
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- Gauges
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- `users.current.den001.myapp:32|g` <- standard
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- `users.current.den001.myapp:+10|g` <- additive
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- `users.current.den001.myapp:-10|g`
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- Counters
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- `deploys.test.myservice:1|c` <- increments by 1
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- `deploys.test.myservice:101|c` <- increments by 101
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- `deploys.test.myservice:1|c|@0.1` <- sample rate, increments by 10
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- Sets
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- `users.unique:101|s`
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- `users.unique:101|s`
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- `users.unique:102|s` <- would result in a count of 2 for `users.unique`
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- Timers
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- TODO
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@ -0,0 +1,409 @@
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package statsd
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import (
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"log"
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"net"
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"strconv"
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"strings"
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"sync"
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"github.com/influxdb/telegraf/plugins"
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)
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var dropwarn = "ERROR: Message queue full. Discarding line [%s] " +
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"You may want to increase allowed_pending_messages in the config\n"
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type Statsd struct {
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// Address & Port to serve from
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ServiceAddress string
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// Number of messages allowed to queue up in between calls to Gather. If this
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// fills up, packets will get dropped until the next Gather interval is ran.
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AllowedPendingMessages int
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DeleteGauges bool
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DeleteCounters bool
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DeleteSets bool
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sync.Mutex
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// Channel for all incoming statsd messages
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in chan string
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inmetrics chan metric
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done chan struct{}
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// Cache gauges, counters & sets so they can be aggregated as they arrive
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gauges map[string]cachedmetric
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counters map[string]cachedmetric
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sets map[string]cachedmetric
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Mappings []struct {
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Match string
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Name string
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Tagmap map[string]int
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}
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}
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// One statsd metric, form is <bucket>:<value>|<mtype>|@<samplerate>
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type metric struct {
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name string
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bucket string
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value int64
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mtype string
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additive bool
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samplerate float64
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tags map[string]string
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}
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// cachedmetric is a subset of metric used specifically for storing cached
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// gauges and counters, ready for sending to InfluxDB.
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type cachedmetric struct {
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value int64
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tags map[string]string
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set map[int64]bool
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}
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func (_ *Statsd) Description() string {
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return "Statsd listener"
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}
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const sampleConfig = `
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# Address and port to host UDP listener on
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service_address = ":8125"
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# Delete gauges every interval
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delete_gauges = false
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# Delete counters every interval
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delete_counters = false
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# Delete sets every interval
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delete_sets = false
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# Number of messages allowed to queue up, once filled,
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# the statsd server will start dropping packets
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allowed_pending_messages = 10000
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`
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func (_ *Statsd) SampleConfig() string {
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return sampleConfig
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}
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func (s *Statsd) Gather(acc plugins.Accumulator) error {
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s.Lock()
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defer s.Unlock()
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values := make(map[string]int64)
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items := len(s.inmetrics)
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for i := 0; i < items; i++ {
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m := <-s.inmetrics
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switch m.mtype {
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case "c", "g", "s":
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log.Println("ERROR: Uh oh, this should not have happened")
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case "ms", "h":
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// TODO
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}
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}
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for name, cmetric := range s.gauges {
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acc.Add(name, cmetric.value, cmetric.tags)
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}
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if s.DeleteGauges {
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s.gauges = make(map[string]cachedmetric)
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}
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for name, cmetric := range s.counters {
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acc.Add(name, cmetric.value, cmetric.tags)
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}
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if s.DeleteCounters {
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s.counters = make(map[string]cachedmetric)
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}
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for name, cmetric := range s.sets {
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acc.Add(name, cmetric.value, cmetric.tags)
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}
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if s.DeleteSets {
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s.sets = make(map[string]cachedmetric)
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}
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for name, value := range values {
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acc.Add(name, value, nil)
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}
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return nil
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}
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func (s *Statsd) Start() error {
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log.Println("Starting up the statsd service")
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// Make data structures
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s.done = make(chan struct{})
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s.in = make(chan string, s.AllowedPendingMessages)
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s.inmetrics = make(chan metric, s.AllowedPendingMessages)
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s.gauges = make(map[string]cachedmetric)
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s.counters = make(map[string]cachedmetric)
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s.sets = make(map[string]cachedmetric)
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// Start the UDP listener
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go s.udpListen()
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// Start the line parser
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go s.parser()
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return nil
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}
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// udpListen starts listening for udp packets on the configured port.
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func (s *Statsd) udpListen() error {
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address, _ := net.ResolveUDPAddr("udp", s.ServiceAddress)
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listener, err := net.ListenUDP("udp", address)
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if err != nil {
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log.Fatalf("ERROR: ListenUDP - %s", err)
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}
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defer listener.Close()
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log.Println("Statsd listener listening on: ", listener.LocalAddr().String())
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for {
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select {
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case <-s.done:
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return nil
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default:
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buf := make([]byte, 1024)
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n, _, err := listener.ReadFromUDP(buf)
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if err != nil {
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log.Printf("ERROR: %s\n", err.Error())
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}
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lines := strings.Split(string(buf[:n]), "\n")
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for _, line := range lines {
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line = strings.TrimSpace(line)
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if line != "" {
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select {
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case s.in <- line:
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default:
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log.Printf(dropwarn, line)
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}
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}
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}
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}
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}
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}
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// parser monitors the s.in channel, if there is a line ready, it parses the
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// statsd string into a usable metric struct and either aggregates the value
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// or pushes it into the s.inmetrics channel.
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func (s *Statsd) parser() error {
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for {
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select {
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case <-s.done:
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return nil
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case line := <-s.in:
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s.parseStatsdLine(line)
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}
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}
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}
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// parseStatsdLine will parse the given statsd line, validating it as it goes.
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// If the line is valid, it will be cached for the next call to Gather()
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func (s *Statsd) parseStatsdLine(line string) {
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s.Lock()
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defer s.Unlock()
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// Validate splitting the line on "|"
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m := metric{}
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parts1 := strings.Split(line, "|")
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if len(parts1) < 2 {
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log.Printf("Error splitting '|', Unable to parse metric: %s\n", line)
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return
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} else if len(parts1) > 2 {
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sr := parts1[2]
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||||
if strings.Contains(sr, "@") && len(sr) > 1 {
|
||||
samplerate, err := strconv.ParseFloat(sr[1:], 64)
|
||||
if err != nil {
|
||||
log.Printf("Error parsing sample rate: %s\n", err.Error())
|
||||
} else {
|
||||
m.samplerate = samplerate
|
||||
}
|
||||
} else {
|
||||
msg := "Error parsing sample rate, it must be in format like: " +
|
||||
"@0.1, @0.5, etc. Ignoring sample rate for line: %s\n"
|
||||
log.Printf(msg, line)
|
||||
}
|
||||
}
|
||||
|
||||
// Validate metric type
|
||||
switch parts1[1] {
|
||||
case "g", "c", "s", "ms", "h":
|
||||
m.mtype = parts1[1]
|
||||
default:
|
||||
log.Printf("Statsd Metric type %s unsupported", parts1[1])
|
||||
return
|
||||
}
|
||||
|
||||
// Validate splitting the rest of the line on ":"
|
||||
parts2 := strings.Split(parts1[0], ":")
|
||||
if len(parts2) != 2 {
|
||||
log.Printf("Error splitting ':', Unable to parse metric: %s\n", line)
|
||||
return
|
||||
}
|
||||
m.bucket = parts2[0]
|
||||
|
||||
// Parse the value
|
||||
if strings.ContainsAny(parts2[1], "-+") {
|
||||
if m.mtype != "g" {
|
||||
log.Printf("Error: +- values are only supported for gauges: %s\n", line)
|
||||
return
|
||||
}
|
||||
m.additive = true
|
||||
}
|
||||
v, err := strconv.ParseInt(parts2[1], 10, 64)
|
||||
if err != nil {
|
||||
log.Printf("Error: parsing value to int64: %s\n", line)
|
||||
return
|
||||
}
|
||||
// If a sample rate is given with a counter, divide value by the rate
|
||||
if m.samplerate != 0 && m.mtype == "c" {
|
||||
v = int64(float64(v) / m.samplerate)
|
||||
}
|
||||
m.value = v
|
||||
|
||||
// Parse the name
|
||||
m.name, m.tags = s.parseName(m)
|
||||
|
||||
switch m.mtype {
|
||||
// Aggregate gauges, counters and sets as we go
|
||||
case "g", "c", "s":
|
||||
s.aggregate(m)
|
||||
// Timers get processed at flush time
|
||||
default:
|
||||
select {
|
||||
case s.inmetrics <- m:
|
||||
default:
|
||||
log.Printf(dropwarn, line)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// parseName parses the given bucket name with the list of bucket maps in the
|
||||
// config file. If there is a match, it will parse the name of the metric and
|
||||
// map of tags.
|
||||
// Return values are (<name>, <tags>)
|
||||
func (s *Statsd) parseName(m metric) (string, map[string]string) {
|
||||
var tags map[string]string
|
||||
name := strings.Replace(m.bucket, ".", "_", -1)
|
||||
name = strings.Replace(name, "-", "__", -1)
|
||||
|
||||
for _, bm := range s.Mappings {
|
||||
if bucketglob(bm.Match, m.bucket) {
|
||||
tags = make(map[string]string)
|
||||
bparts := strings.Split(m.bucket, ".")
|
||||
for name, index := range bm.Tagmap {
|
||||
if index >= len(bparts) {
|
||||
log.Printf("ERROR: Index %d out of range for bucket %s\n",
|
||||
index, m.bucket)
|
||||
continue
|
||||
}
|
||||
tags[name] = bparts[index]
|
||||
}
|
||||
if bm.Name != "" {
|
||||
name = bm.Name
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
switch m.mtype {
|
||||
case "c":
|
||||
name = name + "_counter"
|
||||
case "g":
|
||||
name = name + "_gauge"
|
||||
case "s":
|
||||
name = name + "_set"
|
||||
case "ms", "h":
|
||||
name = name + "_timer"
|
||||
}
|
||||
|
||||
return name, tags
|
||||
}
|
||||
|
||||
func bucketglob(pattern, bucket string) bool {
|
||||
pparts := strings.Split(pattern, ".")
|
||||
bparts := strings.Split(bucket, ".")
|
||||
if len(pparts) != len(bparts) {
|
||||
return false
|
||||
}
|
||||
|
||||
for i, _ := range pparts {
|
||||
if pparts[i] == "*" || pparts[i] == bparts[i] {
|
||||
continue
|
||||
} else {
|
||||
return false
|
||||
}
|
||||
}
|
||||
return true
|
||||
}
|
||||
|
||||
// aggregate takes in a metric of type "counter", "gauge", or "set". It then
|
||||
// aggregates and caches the current value. It does not deal with the
|
||||
// DeleteCounters, DeleteGauges or DeleteSets options, because those are dealt
|
||||
// with in the Gather function.
|
||||
func (s *Statsd) aggregate(m metric) {
|
||||
switch m.mtype {
|
||||
case "c":
|
||||
cached, ok := s.counters[m.name]
|
||||
if !ok {
|
||||
s.counters[m.name] = cachedmetric{
|
||||
value: m.value,
|
||||
tags: m.tags,
|
||||
}
|
||||
} else {
|
||||
cached.value += m.value
|
||||
cached.tags = m.tags
|
||||
s.counters[m.name] = cached
|
||||
}
|
||||
case "g":
|
||||
cached, ok := s.gauges[m.name]
|
||||
if !ok {
|
||||
s.gauges[m.name] = cachedmetric{
|
||||
value: m.value,
|
||||
tags: m.tags,
|
||||
}
|
||||
} else {
|
||||
if m.additive {
|
||||
cached.value = cached.value + m.value
|
||||
} else {
|
||||
cached.value = m.value
|
||||
}
|
||||
cached.tags = m.tags
|
||||
s.gauges[m.name] = cached
|
||||
}
|
||||
case "s":
|
||||
cached, ok := s.sets[m.name]
|
||||
if !ok {
|
||||
// Completely new metric (initialize with count of 1)
|
||||
s.sets[m.name] = cachedmetric{
|
||||
value: 1,
|
||||
tags: m.tags,
|
||||
set: map[int64]bool{m.value: true},
|
||||
}
|
||||
} else {
|
||||
_, ok := s.sets[m.name].set[m.value]
|
||||
if !ok {
|
||||
// Metric exists, but value has not been counted
|
||||
cached.value += 1
|
||||
cached.set[m.value] = true
|
||||
s.sets[m.name] = cached
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func (s *Statsd) Stop() {
|
||||
s.Lock()
|
||||
defer s.Unlock()
|
||||
log.Println("Stopping the statsd service")
|
||||
close(s.done)
|
||||
close(s.in)
|
||||
close(s.inmetrics)
|
||||
}
|
||||
|
||||
func init() {
|
||||
plugins.Add("statsd", func() plugins.Plugin {
|
||||
return &Statsd{}
|
||||
})
|
||||
}
|
|
@ -0,0 +1,11 @@
|
|||
package statsd
|
||||
|
||||
import (
|
||||
"testing"
|
||||
)
|
||||
|
||||
func TestListen(t *testing.T) {
|
||||
if false {
|
||||
t.Errorf("Test failed!")
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue