elasticsearch_query

README

Elasticsearch Query Input Plugin

This elasticsearch query plugin queries endpoints to obtain metrics from data stored in an Elasticsearch cluster.

The following is supported:

• return number of hits for a search query
• calculate the avg/max/min/sum for a numeric field, filtered by a query, aggregated per tag
• count number of terms for a particular field

Elasticsearch Support

This plugins is tested against Elasticsearch 5.x and 6.x releases. Currently it is known to break on 7.x or greater versions.

Global configuration options

In addition to the plugin-specific configuration settings, plugins support additional global and plugin configuration settings. These settings are used to modify metrics, tags, and field or create aliases and configure ordering, etc. See the CONFIGURATION.md for more details.

Configuration

# Derive metrics from aggregating Elasticsearch query results
[[inputs.elasticsearch_query]]
  ## The full HTTP endpoint URL for your Elasticsearch instance
  ## Multiple urls can be specified as part of the same cluster,
  ## this means that only ONE of the urls will be written to each interval.
  urls = [ "http://node1.es.example.com:9200" ] # required.

  ## Elasticsearch client timeout, defaults to "5s".
  # timeout = "5s"

  ## Set to true to ask Elasticsearch a list of all cluster nodes,
  ## thus it is not necessary to list all nodes in the urls config option
  # enable_sniffer = false

  ## Set the interval to check if the Elasticsearch nodes are available
  ## This option is only used if enable_sniffer is also set (0s to disable it)
  # health_check_interval = "10s"

  ## HTTP basic authentication details (eg. when using x-pack)
  # username = "telegraf"
  # password = "mypassword"

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  [[inputs.elasticsearch_query.aggregation]]
    ## measurement name for the results of the aggregation query
    measurement_name = "measurement"

    ## Elasticsearch indexes to query (accept wildcards).
    index = "index-*"

    ## The date/time field in the Elasticsearch index (mandatory).
    date_field = "@timestamp"

    ## If the field used for the date/time field in Elasticsearch is also using
    ## a custom date/time format it may be required to provide the format to
    ## correctly parse the field.
    ##
    ## If using one of the built in elasticsearch formats this is not required.
    # date_field_custom_format = ""

    ## Time window to query (eg. "1m" to query documents from last minute).
    ## Normally should be set to same as collection interval
    query_period = "1m"

    ## Lucene query to filter results
    # filter_query = "*"

    ## Fields to aggregate values (must be numeric fields)
    # metric_fields = ["metric"]

    ## Aggregation function to use on the metric fields
    ## Must be set if 'metric_fields' is set
    ## Valid values are: avg, sum, min, max, sum
    # metric_function = "avg"

    ## Fields to be used as tags
    ## Must be text, non-analyzed fields. Metric aggregations are performed
    ## per tag
    # tags = ["field.keyword", "field2.keyword"]

    ## Set to true to not ignore documents when the tag(s) above are missing
    # include_missing_tag = false

    ## String value of the tag when the tag does not exist
    ## Used when include_missing_tag is true
    # missing_tag_value = "null"

Examples

Please note that the [[inputs.elasticsearch_query]] is still required for all of the examples below.

Search the average response time, per URI and per response status code

[[inputs.elasticsearch_query.aggregation]]
  measurement_name = "http_logs"
  index = "my-index-*"
  filter_query = "*"
  metric_fields = ["response_time"]
  metric_function = "avg"
  tags = ["URI.keyword", "response.keyword"]
  include_missing_tag = true
  missing_tag_value = "null"
  date_field = "@timestamp"
  query_period = "1m"

Search the maximum response time per method and per URI

[[inputs.elasticsearch_query.aggregation]]
  measurement_name = "http_logs"
  index = "my-index-*"
  filter_query = "*"
  metric_fields = ["response_time"]
  metric_function = "max"
  tags = ["method.keyword","URI.keyword"]
  include_missing_tag = false
  missing_tag_value = "null"
  date_field = "@timestamp"
  query_period = "1m"

Search number of documents matching a filter query in all indices

[[inputs.elasticsearch_query.aggregation]]
  measurement_name = "http_logs"
  index = "*"
  filter_query = "product_1 AND HEAD"
  query_period = "1m"
  date_field = "@timestamp"

Search number of documents matching a filter query, returning per response status code

[[inputs.elasticsearch_query.aggregation]]
  measurement_name = "http_logs"
  index = "*"
  filter_query = "downloads"
  tags = ["response.keyword"]
  include_missing_tag = false
  date_field = "@timestamp"
  query_period = "1m"

Required parameters

• measurement_name: The target measurement to be stored the results of the aggregation query.
• index: The index name to query on Elasticsearch
• query_period: The time window to query (eg. "1m" to query documents from last minute). Normally should be set to same as collection
• date_field: The date/time field in the Elasticsearch index

Optional parameters

• date_field_custom_format: Not needed if using one of the built in date/time formats of Elasticsearch, but may be required if using a custom date/time format. The format syntax uses the Joda date format.
• filter_query: Lucene query to filter the results (default: "*")
• metric_fields: The list of fields to perform metric aggregation (these must be indexed as numeric fields)
• metric_funcion: The single-value metric aggregation function to be performed on the metric_fields defined. Currently supported aggregations are "avg", "min", "max", "sum". (see the aggregation docs
• tags: The list of fields to be used as tags (these must be indexed as non-analyzed fields). A "terms aggregation" will be done per tag defined
• include_missing_tag: Set to true to not ignore documents where the tag(s) specified above does not exist. (If false, documents without the specified tag field will be ignored in doc_count and in the metric aggregation)
• missing_tag_value: The value of the tag that will be set for documents in which the tag field does not exist. Only used when include_missing_tag is set to true.

Documentation

Index

• type ElasticsearchQuery
  • func (e *ElasticsearchQuery) Gather(acc telegraf.Accumulator) error
  • func (e *ElasticsearchQuery) Init() error
  • func (*ElasticsearchQuery) SampleConfig() string

Types

type ElasticsearchQuery

type ElasticsearchQuery struct {
	URLs                []string        `toml:"urls"`
	Username            string          `toml:"username"`
	Password            string          `toml:"password"`
	EnableSniffer       bool            `toml:"enable_sniffer"`
	Timeout             config.Duration `toml:"timeout"`
	HealthCheckInterval config.Duration `toml:"health_check_interval"`
	Aggregations        []esAggregation `toml:"aggregation"`

	Log telegraf.Logger `toml:"-"`

	tls.ClientConfig
	// contains filtered or unexported fields
}

ElasticsearchQuery struct

func (*ElasticsearchQuery) Gather

func (e *ElasticsearchQuery) Gather(acc telegraf.Accumulator) error

Gather writes the results of the queries from Elasticsearch to the Accumulator.

func (*ElasticsearchQuery) Init

func (e *ElasticsearchQuery) Init() error

Init the plugin.

func (*ElasticsearchQuery) SampleConfig

func (*ElasticsearchQuery) SampleConfig() string