1878 lines
50 KiB
Go
1878 lines
50 KiB
Go
package config
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import (
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"bytes"
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"errors"
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"fmt"
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"io/ioutil"
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"log"
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"math"
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"net/http"
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"net/url"
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"os"
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"path/filepath"
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"regexp"
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"runtime"
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"sort"
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"strconv"
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"strings"
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"time"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/internal"
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"github.com/influxdata/telegraf/internal/models"
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"github.com/influxdata/telegraf/plugins/aggregators"
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"github.com/influxdata/telegraf/plugins/inputs"
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"github.com/influxdata/telegraf/plugins/outputs"
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"github.com/influxdata/telegraf/plugins/parsers"
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"github.com/influxdata/telegraf/plugins/processors"
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"github.com/influxdata/telegraf/plugins/serializers"
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"github.com/influxdata/toml"
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"github.com/influxdata/toml/ast"
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)
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var (
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// Default input plugins
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inputDefaults = []string{"cpu", "mem", "swap", "system", "kernel",
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"processes", "disk", "diskio"}
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// Default output plugins
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outputDefaults = []string{"influxdb"}
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// envVarRe is a regex to find environment variables in the config file
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envVarRe = regexp.MustCompile(`\$\w+`)
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envVarEscaper = strings.NewReplacer(
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`"`, `\"`,
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`\`, `\\`,
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)
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)
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// Config specifies the URL/user/password for the database that telegraf
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// will be logging to, as well as all the plugins that the user has
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// specified
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type Config struct {
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Tags map[string]string
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InputFilters []string
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OutputFilters []string
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Agent *AgentConfig
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Inputs []*models.RunningInput
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Outputs []*models.RunningOutput
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Aggregators []*models.RunningAggregator
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// Processors have a slice wrapper type because they need to be sorted
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Processors models.RunningProcessors
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}
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func NewConfig() *Config {
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c := &Config{
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// Agent defaults:
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Agent: &AgentConfig{
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Interval: internal.Duration{Duration: 10 * time.Second},
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RoundInterval: true,
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FlushInterval: internal.Duration{Duration: 10 * time.Second},
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},
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Tags: make(map[string]string),
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Inputs: make([]*models.RunningInput, 0),
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Outputs: make([]*models.RunningOutput, 0),
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Processors: make([]*models.RunningProcessor, 0),
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InputFilters: make([]string, 0),
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OutputFilters: make([]string, 0),
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}
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return c
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}
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type AgentConfig struct {
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// Interval at which to gather information
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Interval internal.Duration
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// RoundInterval rounds collection interval to 'interval'.
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// ie, if Interval=10s then always collect on :00, :10, :20, etc.
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RoundInterval bool
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// By default or when set to "0s", precision will be set to the same
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// timestamp order as the collection interval, with the maximum being 1s.
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// ie, when interval = "10s", precision will be "1s"
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// when interval = "250ms", precision will be "1ms"
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// Precision will NOT be used for service inputs. It is up to each individual
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// service input to set the timestamp at the appropriate precision.
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Precision internal.Duration
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// CollectionJitter is used to jitter the collection by a random amount.
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// Each plugin will sleep for a random time within jitter before collecting.
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// This can be used to avoid many plugins querying things like sysfs at the
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// same time, which can have a measurable effect on the system.
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CollectionJitter internal.Duration
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// FlushInterval is the Interval at which to flush data
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FlushInterval internal.Duration
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// FlushJitter Jitters the flush interval by a random amount.
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// This is primarily to avoid large write spikes for users running a large
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// number of telegraf instances.
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// ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
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FlushJitter internal.Duration
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// MetricBatchSize is the maximum number of metrics that is wrote to an
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// output plugin in one call.
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MetricBatchSize int
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// MetricBufferLimit is the max number of metrics that each output plugin
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// will cache. The buffer is cleared when a successful write occurs. When
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// full, the oldest metrics will be overwritten. This number should be a
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// multiple of MetricBatchSize. Due to current implementation, this could
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// not be less than 2 times MetricBatchSize.
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MetricBufferLimit int
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// FlushBufferWhenFull tells Telegraf to flush the metric buffer whenever
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// it fills up, regardless of FlushInterval. Setting this option to true
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// does _not_ deactivate FlushInterval.
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FlushBufferWhenFull bool
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// TODO(cam): Remove UTC and parameter, they are no longer
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// valid for the agent config. Leaving them here for now for backwards-
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// compatibility
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UTC bool `toml:"utc"`
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// Debug is the option for running in debug mode
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Debug bool
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// Logfile specifies the file to send logs to
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Logfile string
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// Quiet is the option for running in quiet mode
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Quiet bool
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Hostname string
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OmitHostname bool
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}
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// Inputs returns a list of strings of the configured inputs.
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func (c *Config) InputNames() []string {
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var name []string
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for _, input := range c.Inputs {
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name = append(name, input.Name())
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}
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return name
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}
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// Outputs returns a list of strings of the configured aggregators.
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func (c *Config) AggregatorNames() []string {
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var name []string
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for _, aggregator := range c.Aggregators {
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name = append(name, aggregator.Name())
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}
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return name
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}
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// Outputs returns a list of strings of the configured processors.
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func (c *Config) ProcessorNames() []string {
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var name []string
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for _, processor := range c.Processors {
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name = append(name, processor.Name)
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}
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return name
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}
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// Outputs returns a list of strings of the configured outputs.
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func (c *Config) OutputNames() []string {
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var name []string
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for _, output := range c.Outputs {
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name = append(name, output.Name)
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}
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return name
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}
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// ListTags returns a string of tags specified in the config,
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// line-protocol style
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func (c *Config) ListTags() string {
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var tags []string
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for k, v := range c.Tags {
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tags = append(tags, fmt.Sprintf("%s=%s", k, v))
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}
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sort.Strings(tags)
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return strings.Join(tags, " ")
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}
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var header = `# Telegraf Configuration
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#
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# Telegraf is entirely plugin driven. All metrics are gathered from the
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# declared inputs, and sent to the declared outputs.
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#
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# Plugins must be declared in here to be active.
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# To deactivate a plugin, comment out the name and any variables.
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#
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# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
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# file would generate.
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#
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# Environment variables can be used anywhere in this config file, simply prepend
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# them with $. For strings the variable must be within quotes (ie, "$STR_VAR"),
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# for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR)
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# Global tags can be specified here in key="value" format.
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[global_tags]
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# dc = "us-east-1" # will tag all metrics with dc=us-east-1
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# rack = "1a"
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## Environment variables can be used as tags, and throughout the config file
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# user = "$USER"
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# Configuration for telegraf agent
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[agent]
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## Default data collection interval for all inputs
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interval = "10s"
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## Rounds collection interval to 'interval'
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## ie, if interval="10s" then always collect on :00, :10, :20, etc.
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round_interval = true
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## Telegraf will send metrics to outputs in batches of at most
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## metric_batch_size metrics.
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## This controls the size of writes that Telegraf sends to output plugins.
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metric_batch_size = 1000
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## For failed writes, telegraf will cache metric_buffer_limit metrics for each
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## output, and will flush this buffer on a successful write. Oldest metrics
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## are dropped first when this buffer fills.
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## This buffer only fills when writes fail to output plugin(s).
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metric_buffer_limit = 10000
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## Collection jitter is used to jitter the collection by a random amount.
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## Each plugin will sleep for a random time within jitter before collecting.
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## This can be used to avoid many plugins querying things like sysfs at the
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## same time, which can have a measurable effect on the system.
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collection_jitter = "0s"
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## Default flushing interval for all outputs. Maximum flush_interval will be
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## flush_interval + flush_jitter
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flush_interval = "10s"
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## Jitter the flush interval by a random amount. This is primarily to avoid
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## large write spikes for users running a large number of telegraf instances.
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## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
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flush_jitter = "0s"
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## By default or when set to "0s", precision will be set to the same
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## timestamp order as the collection interval, with the maximum being 1s.
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## ie, when interval = "10s", precision will be "1s"
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## when interval = "250ms", precision will be "1ms"
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## Precision will NOT be used for service inputs. It is up to each individual
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## service input to set the timestamp at the appropriate precision.
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## Valid time units are "ns", "us" (or "µs"), "ms", "s".
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precision = ""
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## Logging configuration:
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## Run telegraf with debug log messages.
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debug = false
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## Run telegraf in quiet mode (error log messages only).
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quiet = false
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## Specify the log file name. The empty string means to log to stderr.
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logfile = ""
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## Override default hostname, if empty use os.Hostname()
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hostname = ""
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## If set to true, do no set the "host" tag in the telegraf agent.
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omit_hostname = false
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###############################################################################
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# OUTPUT PLUGINS #
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###############################################################################
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`
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var processorHeader = `
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###############################################################################
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# PROCESSOR PLUGINS #
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###############################################################################
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`
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var aggregatorHeader = `
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###############################################################################
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# AGGREGATOR PLUGINS #
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###############################################################################
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`
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var inputHeader = `
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###############################################################################
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# INPUT PLUGINS #
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###############################################################################
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`
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var serviceInputHeader = `
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###############################################################################
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# SERVICE INPUT PLUGINS #
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###############################################################################
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`
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// PrintSampleConfig prints the sample config
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func PrintSampleConfig(
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inputFilters []string,
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outputFilters []string,
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aggregatorFilters []string,
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processorFilters []string,
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) {
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fmt.Printf(header)
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// print output plugins
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if len(outputFilters) != 0 {
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printFilteredOutputs(outputFilters, false)
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} else {
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printFilteredOutputs(outputDefaults, false)
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// Print non-default outputs, commented
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var pnames []string
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for pname := range outputs.Outputs {
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if !sliceContains(pname, outputDefaults) {
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pnames = append(pnames, pname)
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}
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}
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sort.Strings(pnames)
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printFilteredOutputs(pnames, true)
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}
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// print processor plugins
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fmt.Printf(processorHeader)
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if len(processorFilters) != 0 {
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printFilteredProcessors(processorFilters, false)
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} else {
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pnames := []string{}
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for pname := range processors.Processors {
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pnames = append(pnames, pname)
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}
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sort.Strings(pnames)
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printFilteredProcessors(pnames, true)
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}
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// pring aggregator plugins
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fmt.Printf(aggregatorHeader)
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if len(aggregatorFilters) != 0 {
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printFilteredAggregators(aggregatorFilters, false)
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} else {
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pnames := []string{}
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for pname := range aggregators.Aggregators {
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pnames = append(pnames, pname)
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}
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sort.Strings(pnames)
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printFilteredAggregators(pnames, true)
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}
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// print input plugins
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fmt.Printf(inputHeader)
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if len(inputFilters) != 0 {
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printFilteredInputs(inputFilters, false)
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} else {
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printFilteredInputs(inputDefaults, false)
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// Print non-default inputs, commented
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var pnames []string
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for pname := range inputs.Inputs {
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if !sliceContains(pname, inputDefaults) {
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pnames = append(pnames, pname)
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}
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}
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sort.Strings(pnames)
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printFilteredInputs(pnames, true)
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}
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}
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func printFilteredProcessors(processorFilters []string, commented bool) {
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// Filter processors
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var pnames []string
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for pname := range processors.Processors {
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if sliceContains(pname, processorFilters) {
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pnames = append(pnames, pname)
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}
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}
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sort.Strings(pnames)
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// Print Outputs
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for _, pname := range pnames {
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creator := processors.Processors[pname]
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output := creator()
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printConfig(pname, output, "processors", commented)
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}
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}
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func printFilteredAggregators(aggregatorFilters []string, commented bool) {
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// Filter outputs
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var anames []string
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for aname := range aggregators.Aggregators {
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if sliceContains(aname, aggregatorFilters) {
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anames = append(anames, aname)
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}
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}
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sort.Strings(anames)
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// Print Outputs
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for _, aname := range anames {
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creator := aggregators.Aggregators[aname]
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output := creator()
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printConfig(aname, output, "aggregators", commented)
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}
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}
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func printFilteredInputs(inputFilters []string, commented bool) {
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// Filter inputs
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var pnames []string
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for pname := range inputs.Inputs {
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if sliceContains(pname, inputFilters) {
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pnames = append(pnames, pname)
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}
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}
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sort.Strings(pnames)
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// cache service inputs to print them at the end
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servInputs := make(map[string]telegraf.ServiceInput)
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// for alphabetical looping:
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servInputNames := []string{}
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// Print Inputs
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for _, pname := range pnames {
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creator := inputs.Inputs[pname]
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input := creator()
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switch p := input.(type) {
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case telegraf.ServiceInput:
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servInputs[pname] = p
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servInputNames = append(servInputNames, pname)
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continue
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}
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printConfig(pname, input, "inputs", commented)
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}
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// Print Service Inputs
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if len(servInputs) == 0 {
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return
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}
|
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sort.Strings(servInputNames)
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fmt.Printf(serviceInputHeader)
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for _, name := range servInputNames {
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printConfig(name, servInputs[name], "inputs", commented)
|
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}
|
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}
|
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|
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func printFilteredOutputs(outputFilters []string, commented bool) {
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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 sliceContains(oname, outputFilters) {
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onames = append(onames, oname)
|
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}
|
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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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printConfig(oname, output, "outputs", commented)
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}
|
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}
|
|
|
|
type printer interface {
|
|
Description() string
|
|
SampleConfig() string
|
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}
|
|
|
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func printConfig(name string, p printer, op string, commented bool) {
|
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comment := ""
|
|
if commented {
|
|
comment = "# "
|
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}
|
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fmt.Printf("\n%s# %s\n%s[[%s.%s]]", comment, p.Description(), comment,
|
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op, name)
|
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|
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config := p.SampleConfig()
|
|
if config == "" {
|
|
fmt.Printf("\n%s # no configuration\n\n", comment)
|
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} else {
|
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lines := strings.Split(config, "\n")
|
|
for i, line := range lines {
|
|
if i == 0 || i == len(lines)-1 {
|
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fmt.Print("\n")
|
|
continue
|
|
}
|
|
fmt.Print(strings.TrimRight(comment+line, " ") + "\n")
|
|
}
|
|
}
|
|
}
|
|
|
|
func sliceContains(name string, list []string) bool {
|
|
for _, b := range list {
|
|
if b == name {
|
|
return true
|
|
}
|
|
}
|
|
return false
|
|
}
|
|
|
|
// PrintInputConfig prints the config usage of a single input.
|
|
func PrintInputConfig(name string) error {
|
|
if creator, ok := inputs.Inputs[name]; ok {
|
|
printConfig(name, creator(), "inputs", false)
|
|
} else {
|
|
return errors.New(fmt.Sprintf("Input %s not found", name))
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// PrintOutputConfig prints the config usage of a single output.
|
|
func PrintOutputConfig(name string) error {
|
|
if creator, ok := outputs.Outputs[name]; ok {
|
|
printConfig(name, creator(), "outputs", false)
|
|
} else {
|
|
return errors.New(fmt.Sprintf("Output %s not found", name))
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (c *Config) LoadDirectory(path string) error {
|
|
walkfn := func(thispath string, info os.FileInfo, _ error) error {
|
|
if info == nil {
|
|
log.Printf("W! Telegraf is not permitted to read %s", thispath)
|
|
return nil
|
|
}
|
|
|
|
if info.IsDir() {
|
|
if strings.HasPrefix(info.Name(), "..") {
|
|
// skip Kubernetes mounts, prevening loading the same config twice
|
|
return filepath.SkipDir
|
|
}
|
|
|
|
return nil
|
|
}
|
|
name := info.Name()
|
|
if len(name) < 6 || name[len(name)-5:] != ".conf" {
|
|
return nil
|
|
}
|
|
err := c.LoadConfig(thispath)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
return filepath.Walk(path, walkfn)
|
|
}
|
|
|
|
// Try to find a default config file at these locations (in order):
|
|
// 1. $TELEGRAF_CONFIG_PATH
|
|
// 2. $HOME/.telegraf/telegraf.conf
|
|
// 3. /etc/telegraf/telegraf.conf
|
|
//
|
|
func getDefaultConfigPath() (string, error) {
|
|
envfile := os.Getenv("TELEGRAF_CONFIG_PATH")
|
|
homefile := os.ExpandEnv("${HOME}/.telegraf/telegraf.conf")
|
|
etcfile := "/etc/telegraf/telegraf.conf"
|
|
if runtime.GOOS == "windows" {
|
|
etcfile = `C:\Program Files\Telegraf\telegraf.conf`
|
|
}
|
|
for _, path := range []string{envfile, homefile, etcfile} {
|
|
if _, err := os.Stat(path); err == nil {
|
|
log.Printf("I! Using config file: %s", path)
|
|
return path, nil
|
|
}
|
|
}
|
|
|
|
// if we got here, we didn't find a file in a default location
|
|
return "", fmt.Errorf("No config file specified, and could not find one"+
|
|
" in $TELEGRAF_CONFIG_PATH, %s, or %s", homefile, etcfile)
|
|
}
|
|
|
|
// LoadConfig loads the given config file and applies it to c
|
|
func (c *Config) LoadConfig(path string) error {
|
|
var err error
|
|
if path == "" {
|
|
if path, err = getDefaultConfigPath(); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
data, err := loadConfig(path)
|
|
if err != nil {
|
|
return fmt.Errorf("Error loading %s, %s", path, err)
|
|
}
|
|
|
|
tbl, err := parseConfig(data)
|
|
if err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
|
|
// Parse tags tables first:
|
|
for _, tableName := range []string{"tags", "global_tags"} {
|
|
if val, ok := tbl.Fields[tableName]; ok {
|
|
subTable, ok := val.(*ast.Table)
|
|
if !ok {
|
|
return fmt.Errorf("%s: invalid configuration", path)
|
|
}
|
|
if err = toml.UnmarshalTable(subTable, c.Tags); err != nil {
|
|
log.Printf("E! Could not parse [global_tags] config\n")
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
}
|
|
|
|
// Parse agent table:
|
|
if val, ok := tbl.Fields["agent"]; ok {
|
|
subTable, ok := val.(*ast.Table)
|
|
if !ok {
|
|
return fmt.Errorf("%s: invalid configuration", path)
|
|
}
|
|
if err = toml.UnmarshalTable(subTable, c.Agent); err != nil {
|
|
log.Printf("E! Could not parse [agent] config\n")
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
|
|
if !c.Agent.OmitHostname {
|
|
if c.Agent.Hostname == "" {
|
|
hostname, err := os.Hostname()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
c.Agent.Hostname = hostname
|
|
}
|
|
|
|
c.Tags["host"] = c.Agent.Hostname
|
|
}
|
|
|
|
// Parse all the rest of the plugins:
|
|
for name, val := range tbl.Fields {
|
|
subTable, ok := val.(*ast.Table)
|
|
if !ok {
|
|
return fmt.Errorf("%s: invalid configuration", path)
|
|
}
|
|
|
|
switch name {
|
|
case "agent", "global_tags", "tags":
|
|
case "outputs":
|
|
for pluginName, pluginVal := range subTable.Fields {
|
|
switch pluginSubTable := pluginVal.(type) {
|
|
// legacy [outputs.influxdb] support
|
|
case *ast.Table:
|
|
if err = c.addOutput(pluginName, pluginSubTable); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
case []*ast.Table:
|
|
for _, t := range pluginSubTable {
|
|
if err = c.addOutput(pluginName, t); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
default:
|
|
return fmt.Errorf("Unsupported config format: %s, file %s",
|
|
pluginName, path)
|
|
}
|
|
}
|
|
case "inputs", "plugins":
|
|
for pluginName, pluginVal := range subTable.Fields {
|
|
switch pluginSubTable := pluginVal.(type) {
|
|
// legacy [inputs.cpu] support
|
|
case *ast.Table:
|
|
if err = c.addInput(pluginName, pluginSubTable); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
case []*ast.Table:
|
|
for _, t := range pluginSubTable {
|
|
if err = c.addInput(pluginName, t); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
default:
|
|
return fmt.Errorf("Unsupported config format: %s, file %s",
|
|
pluginName, path)
|
|
}
|
|
}
|
|
case "processors":
|
|
for pluginName, pluginVal := range subTable.Fields {
|
|
switch pluginSubTable := pluginVal.(type) {
|
|
case []*ast.Table:
|
|
for _, t := range pluginSubTable {
|
|
if err = c.addProcessor(pluginName, t); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
default:
|
|
return fmt.Errorf("Unsupported config format: %s, file %s",
|
|
pluginName, path)
|
|
}
|
|
}
|
|
case "aggregators":
|
|
for pluginName, pluginVal := range subTable.Fields {
|
|
switch pluginSubTable := pluginVal.(type) {
|
|
case []*ast.Table:
|
|
for _, t := range pluginSubTable {
|
|
if err = c.addAggregator(pluginName, t); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
default:
|
|
return fmt.Errorf("Unsupported config format: %s, file %s",
|
|
pluginName, path)
|
|
}
|
|
}
|
|
// Assume it's an input input for legacy config file support if no other
|
|
// identifiers are present
|
|
default:
|
|
if err = c.addInput(name, subTable); err != nil {
|
|
return fmt.Errorf("Error parsing %s, %s", path, err)
|
|
}
|
|
}
|
|
}
|
|
|
|
if len(c.Processors) > 1 {
|
|
sort.Sort(c.Processors)
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
// trimBOM trims the Byte-Order-Marks from the beginning of the file.
|
|
// this is for Windows compatibility only.
|
|
// see https://github.com/influxdata/telegraf/issues/1378
|
|
func trimBOM(f []byte) []byte {
|
|
return bytes.TrimPrefix(f, []byte("\xef\xbb\xbf"))
|
|
}
|
|
|
|
// escapeEnv escapes a value for inserting into a TOML string.
|
|
func escapeEnv(value string) string {
|
|
return envVarEscaper.Replace(value)
|
|
}
|
|
|
|
func loadConfig(config string) ([]byte, error) {
|
|
u, err := url.Parse(config)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
switch u.Scheme {
|
|
case "https", "http":
|
|
return fetchConfig(u)
|
|
default:
|
|
// If it isn't a https scheme, try it as a file.
|
|
}
|
|
return ioutil.ReadFile(config)
|
|
|
|
}
|
|
|
|
func fetchConfig(u *url.URL) ([]byte, error) {
|
|
v := os.Getenv("INFLUX_TOKEN")
|
|
|
|
req, err := http.NewRequest("GET", u.String(), nil)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
req.Header.Add("Authorization", "Token "+v)
|
|
req.Header.Add("Accept", "application/toml")
|
|
resp, err := http.DefaultClient.Do(req)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
if resp.StatusCode != http.StatusOK {
|
|
return nil, fmt.Errorf("failed to retrieve remote config: %s", resp.Status)
|
|
}
|
|
|
|
defer resp.Body.Close()
|
|
return ioutil.ReadAll(resp.Body)
|
|
}
|
|
|
|
// parseConfig loads a TOML configuration from a provided path and
|
|
// returns the AST produced from the TOML parser. When loading the file, it
|
|
// will find environment variables and replace them.
|
|
func parseConfig(contents []byte) (*ast.Table, error) {
|
|
contents = trimBOM(contents)
|
|
|
|
env_vars := envVarRe.FindAll(contents, -1)
|
|
for _, env_var := range env_vars {
|
|
env_val, ok := os.LookupEnv(strings.TrimPrefix(string(env_var), "$"))
|
|
if ok {
|
|
env_val = escapeEnv(env_val)
|
|
contents = bytes.Replace(contents, env_var, []byte(env_val), 1)
|
|
}
|
|
}
|
|
|
|
return toml.Parse(contents)
|
|
}
|
|
|
|
func (c *Config) addAggregator(name string, table *ast.Table) error {
|
|
creator, ok := aggregators.Aggregators[name]
|
|
if !ok {
|
|
return fmt.Errorf("Undefined but requested aggregator: %s", name)
|
|
}
|
|
aggregator := creator()
|
|
|
|
conf, err := buildAggregator(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if err := toml.UnmarshalTable(table, aggregator); err != nil {
|
|
return err
|
|
}
|
|
|
|
c.Aggregators = append(c.Aggregators, models.NewRunningAggregator(aggregator, conf))
|
|
return nil
|
|
}
|
|
|
|
func (c *Config) addProcessor(name string, table *ast.Table) error {
|
|
creator, ok := processors.Processors[name]
|
|
if !ok {
|
|
return fmt.Errorf("Undefined but requested processor: %s", name)
|
|
}
|
|
processor := creator()
|
|
|
|
processorConfig, err := buildProcessor(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if err := toml.UnmarshalTable(table, processor); err != nil {
|
|
return err
|
|
}
|
|
|
|
rf := &models.RunningProcessor{
|
|
Name: name,
|
|
Processor: processor,
|
|
Config: processorConfig,
|
|
}
|
|
|
|
c.Processors = append(c.Processors, rf)
|
|
return nil
|
|
}
|
|
|
|
func (c *Config) addOutput(name string, table *ast.Table) error {
|
|
if len(c.OutputFilters) > 0 && !sliceContains(name, c.OutputFilters) {
|
|
return nil
|
|
}
|
|
creator, ok := outputs.Outputs[name]
|
|
if !ok {
|
|
return fmt.Errorf("Undefined but requested output: %s", name)
|
|
}
|
|
output := creator()
|
|
|
|
// If the output has a SetSerializer function, then this means it can write
|
|
// arbitrary types of output, so build the serializer and set it.
|
|
switch t := output.(type) {
|
|
case serializers.SerializerOutput:
|
|
serializer, err := buildSerializer(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
t.SetSerializer(serializer)
|
|
}
|
|
|
|
outputConfig, err := buildOutput(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if err := toml.UnmarshalTable(table, output); err != nil {
|
|
return err
|
|
}
|
|
|
|
ro := models.NewRunningOutput(name, output, outputConfig,
|
|
c.Agent.MetricBatchSize, c.Agent.MetricBufferLimit)
|
|
c.Outputs = append(c.Outputs, ro)
|
|
return nil
|
|
}
|
|
|
|
func (c *Config) addInput(name string, table *ast.Table) error {
|
|
if len(c.InputFilters) > 0 && !sliceContains(name, c.InputFilters) {
|
|
return nil
|
|
}
|
|
// Legacy support renaming io input to diskio
|
|
if name == "io" {
|
|
name = "diskio"
|
|
}
|
|
|
|
creator, ok := inputs.Inputs[name]
|
|
if !ok {
|
|
return fmt.Errorf("Undefined but requested input: %s", name)
|
|
}
|
|
input := creator()
|
|
|
|
// If the input has a SetParser function, then this means it can accept
|
|
// arbitrary types of input, so build the parser and set it.
|
|
switch t := input.(type) {
|
|
case parsers.ParserInput:
|
|
parser, err := buildParser(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
t.SetParser(parser)
|
|
}
|
|
|
|
switch t := input.(type) {
|
|
case parsers.ParserFuncInput:
|
|
config, err := getParserConfig(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
t.SetParserFunc(func() (parsers.Parser, error) {
|
|
return parsers.NewParser(config)
|
|
})
|
|
}
|
|
|
|
pluginConfig, err := buildInput(name, table)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
if err := toml.UnmarshalTable(table, input); err != nil {
|
|
return err
|
|
}
|
|
|
|
rp := models.NewRunningInput(input, pluginConfig)
|
|
rp.SetDefaultTags(c.Tags)
|
|
c.Inputs = append(c.Inputs, rp)
|
|
return nil
|
|
}
|
|
|
|
// buildAggregator parses Aggregator specific items from the ast.Table,
|
|
// builds the filter and returns a
|
|
// models.AggregatorConfig to be inserted into models.RunningAggregator
|
|
func buildAggregator(name string, tbl *ast.Table) (*models.AggregatorConfig, error) {
|
|
conf := &models.AggregatorConfig{
|
|
Name: name,
|
|
Delay: time.Millisecond * 100,
|
|
Period: time.Second * 30,
|
|
}
|
|
|
|
if node, ok := tbl.Fields["period"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
dur, err := time.ParseDuration(str.Value)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
conf.Period = dur
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["delay"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
dur, err := time.ParseDuration(str.Value)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
conf.Delay = dur
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["drop_original"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if b, ok := kv.Value.(*ast.Boolean); ok {
|
|
var err error
|
|
conf.DropOriginal, err = strconv.ParseBool(b.Value)
|
|
if err != nil {
|
|
log.Printf("Error parsing boolean value for %s: %s\n", name, err)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["name_prefix"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
conf.MeasurementPrefix = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["name_suffix"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
conf.MeasurementSuffix = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["name_override"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
conf.NameOverride = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
conf.Tags = make(map[string]string)
|
|
if node, ok := tbl.Fields["tags"]; ok {
|
|
if subtbl, ok := node.(*ast.Table); ok {
|
|
if err := toml.UnmarshalTable(subtbl, conf.Tags); err != nil {
|
|
log.Printf("Could not parse tags for input %s\n", name)
|
|
}
|
|
}
|
|
}
|
|
|
|
delete(tbl.Fields, "period")
|
|
delete(tbl.Fields, "delay")
|
|
delete(tbl.Fields, "drop_original")
|
|
delete(tbl.Fields, "name_prefix")
|
|
delete(tbl.Fields, "name_suffix")
|
|
delete(tbl.Fields, "name_override")
|
|
delete(tbl.Fields, "tags")
|
|
var err error
|
|
conf.Filter, err = buildFilter(tbl)
|
|
if err != nil {
|
|
return conf, err
|
|
}
|
|
return conf, nil
|
|
}
|
|
|
|
// buildProcessor parses Processor specific items from the ast.Table,
|
|
// builds the filter and returns a
|
|
// models.ProcessorConfig to be inserted into models.RunningProcessor
|
|
func buildProcessor(name string, tbl *ast.Table) (*models.ProcessorConfig, error) {
|
|
conf := &models.ProcessorConfig{Name: name}
|
|
|
|
if node, ok := tbl.Fields["order"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if b, ok := kv.Value.(*ast.Integer); ok {
|
|
var err error
|
|
conf.Order, err = strconv.ParseInt(b.Value, 10, 64)
|
|
if err != nil {
|
|
log.Printf("Error parsing int value for %s: %s\n", name, err)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
delete(tbl.Fields, "order")
|
|
var err error
|
|
conf.Filter, err = buildFilter(tbl)
|
|
if err != nil {
|
|
return conf, err
|
|
}
|
|
return conf, nil
|
|
}
|
|
|
|
// buildFilter builds a Filter
|
|
// (tagpass/tagdrop/namepass/namedrop/fieldpass/fielddrop) to
|
|
// be inserted into the models.OutputConfig/models.InputConfig
|
|
// to be used for glob filtering on tags and measurements
|
|
func buildFilter(tbl *ast.Table) (models.Filter, error) {
|
|
f := models.Filter{}
|
|
|
|
if node, ok := tbl.Fields["namepass"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
f.NamePass = append(f.NamePass, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["namedrop"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
f.NameDrop = append(f.NameDrop, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
fields := []string{"pass", "fieldpass"}
|
|
for _, field := range fields {
|
|
if node, ok := tbl.Fields[field]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
f.FieldPass = append(f.FieldPass, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
fields = []string{"drop", "fielddrop"}
|
|
for _, field := range fields {
|
|
if node, ok := tbl.Fields[field]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
f.FieldDrop = append(f.FieldDrop, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["tagpass"]; ok {
|
|
if subtbl, ok := node.(*ast.Table); ok {
|
|
for name, val := range subtbl.Fields {
|
|
if kv, ok := val.(*ast.KeyValue); ok {
|
|
tagfilter := &models.TagFilter{Name: name}
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
tagfilter.Filter = append(tagfilter.Filter, str.Value)
|
|
}
|
|
}
|
|
}
|
|
f.TagPass = append(f.TagPass, *tagfilter)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["tagdrop"]; ok {
|
|
if subtbl, ok := node.(*ast.Table); ok {
|
|
for name, val := range subtbl.Fields {
|
|
if kv, ok := val.(*ast.KeyValue); ok {
|
|
tagfilter := &models.TagFilter{Name: name}
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
tagfilter.Filter = append(tagfilter.Filter, str.Value)
|
|
}
|
|
}
|
|
}
|
|
f.TagDrop = append(f.TagDrop, *tagfilter)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["tagexclude"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
f.TagExclude = append(f.TagExclude, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["taginclude"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
f.TagInclude = append(f.TagInclude, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
if err := f.Compile(); err != nil {
|
|
return f, err
|
|
}
|
|
|
|
delete(tbl.Fields, "namedrop")
|
|
delete(tbl.Fields, "namepass")
|
|
delete(tbl.Fields, "fielddrop")
|
|
delete(tbl.Fields, "fieldpass")
|
|
delete(tbl.Fields, "drop")
|
|
delete(tbl.Fields, "pass")
|
|
delete(tbl.Fields, "tagdrop")
|
|
delete(tbl.Fields, "tagpass")
|
|
delete(tbl.Fields, "tagexclude")
|
|
delete(tbl.Fields, "taginclude")
|
|
return f, nil
|
|
}
|
|
|
|
// buildInput parses input specific items from the ast.Table,
|
|
// builds the filter and returns a
|
|
// models.InputConfig to be inserted into models.RunningInput
|
|
func buildInput(name string, tbl *ast.Table) (*models.InputConfig, error) {
|
|
cp := &models.InputConfig{Name: name}
|
|
if node, ok := tbl.Fields["interval"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
dur, err := time.ParseDuration(str.Value)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
cp.Interval = dur
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["name_prefix"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
cp.MeasurementPrefix = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["name_suffix"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
cp.MeasurementSuffix = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["name_override"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
cp.NameOverride = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
cp.Tags = make(map[string]string)
|
|
if node, ok := tbl.Fields["tags"]; ok {
|
|
if subtbl, ok := node.(*ast.Table); ok {
|
|
if err := toml.UnmarshalTable(subtbl, cp.Tags); err != nil {
|
|
log.Printf("E! Could not parse tags for input %s\n", name)
|
|
}
|
|
}
|
|
}
|
|
|
|
delete(tbl.Fields, "name_prefix")
|
|
delete(tbl.Fields, "name_suffix")
|
|
delete(tbl.Fields, "name_override")
|
|
delete(tbl.Fields, "interval")
|
|
delete(tbl.Fields, "tags")
|
|
var err error
|
|
cp.Filter, err = buildFilter(tbl)
|
|
if err != nil {
|
|
return cp, err
|
|
}
|
|
return cp, nil
|
|
}
|
|
|
|
// buildParser grabs the necessary entries from the ast.Table for creating
|
|
// a parsers.Parser object, and creates it, which can then be added onto
|
|
// an Input object.
|
|
func buildParser(name string, tbl *ast.Table) (parsers.Parser, error) {
|
|
config, err := getParserConfig(name, tbl)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return parsers.NewParser(config)
|
|
}
|
|
|
|
func getParserConfig(name string, tbl *ast.Table) (*parsers.Config, error) {
|
|
c := &parsers.Config{}
|
|
|
|
if node, ok := tbl.Fields["data_format"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DataFormat = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
// Legacy support, exec plugin originally parsed JSON by default.
|
|
if name == "exec" && c.DataFormat == "" {
|
|
c.DataFormat = "json"
|
|
} else if c.DataFormat == "" {
|
|
c.DataFormat = "influx"
|
|
}
|
|
|
|
if node, ok := tbl.Fields["separator"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.Separator = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["templates"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.Templates = append(c.Templates, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["tag_keys"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.TagKeys = append(c.TagKeys, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_string_fields"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.JSONStringFields = append(c.JSONStringFields, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_name_key"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.JSONNameKey = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_query"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.JSONQuery = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_time_key"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.JSONTimeKey = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_time_format"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.JSONTimeFormat = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_timezone"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.JSONTimezone = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["data_type"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DataType = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["collectd_auth_file"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CollectdAuthFile = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["collectd_security_level"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CollectdSecurityLevel = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["collectd_parse_multivalue"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CollectdSplit = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["collectd_typesdb"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.CollectdTypesDB = append(c.CollectdTypesDB, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["dropwizard_metric_registry_path"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DropwizardMetricRegistryPath = str.Value
|
|
}
|
|
}
|
|
}
|
|
if node, ok := tbl.Fields["dropwizard_time_path"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DropwizardTimePath = str.Value
|
|
}
|
|
}
|
|
}
|
|
if node, ok := tbl.Fields["dropwizard_time_format"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DropwizardTimeFormat = str.Value
|
|
}
|
|
}
|
|
}
|
|
if node, ok := tbl.Fields["dropwizard_tags_path"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DropwizardTagsPath = str.Value
|
|
}
|
|
}
|
|
}
|
|
c.DropwizardTagPathsMap = make(map[string]string)
|
|
if node, ok := tbl.Fields["dropwizard_tag_paths"]; ok {
|
|
if subtbl, ok := node.(*ast.Table); ok {
|
|
for name, val := range subtbl.Fields {
|
|
if kv, ok := val.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DropwizardTagPathsMap[name] = str.Value
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
//for grok data_format
|
|
if node, ok := tbl.Fields["grok_named_patterns"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.GrokNamedPatterns = append(c.GrokNamedPatterns, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["grok_patterns"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.GrokPatterns = append(c.GrokPatterns, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["grok_custom_patterns"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.GrokCustomPatterns = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["grok_custom_pattern_files"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.GrokCustomPatternFiles = append(c.GrokCustomPatternFiles, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["grok_timezone"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.GrokTimezone = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["grok_unique_timestamp"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.GrokUniqueTimestamp = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
//for csv parser
|
|
if node, ok := tbl.Fields["csv_column_names"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.CSVColumnNames = append(c.CSVColumnNames, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_column_types"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.CSVColumnTypes = append(c.CSVColumnTypes, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_tag_columns"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if ary, ok := kv.Value.(*ast.Array); ok {
|
|
for _, elem := range ary.Value {
|
|
if str, ok := elem.(*ast.String); ok {
|
|
c.CSVTagColumns = append(c.CSVTagColumns, str.Value)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_delimiter"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CSVDelimiter = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_comment"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CSVComment = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_measurement_column"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CSVMeasurementColumn = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_timestamp_column"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CSVTimestampColumn = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_timestamp_format"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.CSVTimestampFormat = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_header_row_count"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if integer, ok := kv.Value.(*ast.Integer); ok {
|
|
v, err := integer.Int()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
c.CSVHeaderRowCount = int(v)
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_skip_rows"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if integer, ok := kv.Value.(*ast.Integer); ok {
|
|
v, err := integer.Int()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
c.CSVSkipRows = int(v)
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_skip_columns"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if integer, ok := kv.Value.(*ast.Integer); ok {
|
|
v, err := integer.Int()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
c.CSVSkipColumns = int(v)
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["csv_trim_space"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.Boolean); ok {
|
|
//for config with no quotes
|
|
val, err := strconv.ParseBool(str.Value)
|
|
c.CSVTrimSpace = val
|
|
if err != nil {
|
|
return nil, fmt.Errorf("E! parsing to bool: %v", err)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
c.MetricName = name
|
|
|
|
delete(tbl.Fields, "data_format")
|
|
delete(tbl.Fields, "separator")
|
|
delete(tbl.Fields, "templates")
|
|
delete(tbl.Fields, "tag_keys")
|
|
delete(tbl.Fields, "json_name_key")
|
|
delete(tbl.Fields, "json_query")
|
|
delete(tbl.Fields, "json_string_fields")
|
|
delete(tbl.Fields, "json_time_format")
|
|
delete(tbl.Fields, "json_time_key")
|
|
delete(tbl.Fields, "json_timezone")
|
|
delete(tbl.Fields, "data_type")
|
|
delete(tbl.Fields, "collectd_auth_file")
|
|
delete(tbl.Fields, "collectd_security_level")
|
|
delete(tbl.Fields, "collectd_typesdb")
|
|
delete(tbl.Fields, "collectd_parse_multivalue")
|
|
delete(tbl.Fields, "dropwizard_metric_registry_path")
|
|
delete(tbl.Fields, "dropwizard_time_path")
|
|
delete(tbl.Fields, "dropwizard_time_format")
|
|
delete(tbl.Fields, "dropwizard_tags_path")
|
|
delete(tbl.Fields, "dropwizard_tag_paths")
|
|
delete(tbl.Fields, "grok_named_patterns")
|
|
delete(tbl.Fields, "grok_patterns")
|
|
delete(tbl.Fields, "grok_custom_patterns")
|
|
delete(tbl.Fields, "grok_custom_pattern_files")
|
|
delete(tbl.Fields, "grok_timezone")
|
|
delete(tbl.Fields, "grok_unique_timestamp")
|
|
delete(tbl.Fields, "csv_column_names")
|
|
delete(tbl.Fields, "csv_column_types")
|
|
delete(tbl.Fields, "csv_comment")
|
|
delete(tbl.Fields, "csv_delimiter")
|
|
delete(tbl.Fields, "csv_field_columns")
|
|
delete(tbl.Fields, "csv_header_row_count")
|
|
delete(tbl.Fields, "csv_measurement_column")
|
|
delete(tbl.Fields, "csv_skip_columns")
|
|
delete(tbl.Fields, "csv_skip_rows")
|
|
delete(tbl.Fields, "csv_tag_columns")
|
|
delete(tbl.Fields, "csv_timestamp_column")
|
|
delete(tbl.Fields, "csv_timestamp_format")
|
|
delete(tbl.Fields, "csv_trim_space")
|
|
|
|
return c, nil
|
|
}
|
|
|
|
// buildSerializer grabs the necessary entries from the ast.Table for creating
|
|
// a serializers.Serializer object, and creates it, which can then be added onto
|
|
// an Output object.
|
|
func buildSerializer(name string, tbl *ast.Table) (serializers.Serializer, error) {
|
|
c := &serializers.Config{TimestampUnits: time.Duration(1 * time.Second)}
|
|
|
|
if node, ok := tbl.Fields["data_format"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.DataFormat = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if c.DataFormat == "" {
|
|
c.DataFormat = "influx"
|
|
}
|
|
|
|
if node, ok := tbl.Fields["prefix"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.Prefix = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["template"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
c.Template = str.Value
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["influx_max_line_bytes"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if integer, ok := kv.Value.(*ast.Integer); ok {
|
|
v, err := integer.Int()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
c.InfluxMaxLineBytes = int(v)
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["influx_sort_fields"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if b, ok := kv.Value.(*ast.Boolean); ok {
|
|
var err error
|
|
c.InfluxSortFields, err = b.Boolean()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["influx_uint_support"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if b, ok := kv.Value.(*ast.Boolean); ok {
|
|
var err error
|
|
c.InfluxUintSupport, err = b.Boolean()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["graphite_tag_support"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if b, ok := kv.Value.(*ast.Boolean); ok {
|
|
var err error
|
|
c.GraphiteTagSupport, err = b.Boolean()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["json_timestamp_units"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
timestampVal, err := time.ParseDuration(str.Value)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("Unable to parse json_timestamp_units as a duration, %s", err)
|
|
}
|
|
// now that we have a duration, truncate it to the nearest
|
|
// power of ten (just in case)
|
|
nearest_exponent := int64(math.Log10(float64(timestampVal.Nanoseconds())))
|
|
new_nanoseconds := int64(math.Pow(10.0, float64(nearest_exponent)))
|
|
c.TimestampUnits = time.Duration(new_nanoseconds)
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["splunkmetric_hec_routing"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if b, ok := kv.Value.(*ast.Boolean); ok {
|
|
var err error
|
|
c.HecRouting, err = b.Boolean()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
delete(tbl.Fields, "influx_max_line_bytes")
|
|
delete(tbl.Fields, "influx_sort_fields")
|
|
delete(tbl.Fields, "influx_uint_support")
|
|
delete(tbl.Fields, "graphite_tag_support")
|
|
delete(tbl.Fields, "data_format")
|
|
delete(tbl.Fields, "prefix")
|
|
delete(tbl.Fields, "template")
|
|
delete(tbl.Fields, "json_timestamp_units")
|
|
delete(tbl.Fields, "splunkmetric_hec_routing")
|
|
return serializers.NewSerializer(c)
|
|
}
|
|
|
|
// buildOutput parses output specific items from the ast.Table,
|
|
// builds the filter and returns an
|
|
// models.OutputConfig to be inserted into models.RunningInput
|
|
// Note: error exists in the return for future calls that might require error
|
|
func buildOutput(name string, tbl *ast.Table) (*models.OutputConfig, error) {
|
|
filter, err := buildFilter(tbl)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
oc := &models.OutputConfig{
|
|
Name: name,
|
|
Filter: filter,
|
|
}
|
|
|
|
// TODO
|
|
// Outputs don't support FieldDrop/FieldPass, so set to NameDrop/NamePass
|
|
if len(oc.Filter.FieldDrop) > 0 {
|
|
oc.Filter.NameDrop = oc.Filter.FieldDrop
|
|
}
|
|
if len(oc.Filter.FieldPass) > 0 {
|
|
oc.Filter.NamePass = oc.Filter.FieldPass
|
|
}
|
|
|
|
if node, ok := tbl.Fields["flush_interval"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if str, ok := kv.Value.(*ast.String); ok {
|
|
dur, err := time.ParseDuration(str.Value)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
oc.FlushInterval = dur
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["metric_buffer_limit"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if integer, ok := kv.Value.(*ast.Integer); ok {
|
|
v, err := integer.Int()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
oc.MetricBufferLimit = int(v)
|
|
}
|
|
}
|
|
}
|
|
|
|
if node, ok := tbl.Fields["metric_batch_size"]; ok {
|
|
if kv, ok := node.(*ast.KeyValue); ok {
|
|
if integer, ok := kv.Value.(*ast.Integer); ok {
|
|
v, err := integer.Int()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
oc.MetricBatchSize = int(v)
|
|
}
|
|
}
|
|
}
|
|
|
|
delete(tbl.Fields, "flush_interval")
|
|
delete(tbl.Fields, "metric_buffer_limit")
|
|
delete(tbl.Fields, "metric_batch_size")
|
|
|
|
return oc, nil
|
|
}
|