This plugin allows to query an Elasticsearch instance to obtain
metrics from data stored in the cluster. The plugins supports counting the
number of hits for a search query, calculating statistics for numeric fields,
filtered by a query, aggregated per tag and to count the number of terms for a
particular field.
[!IMPORTANT]
This plugins supports Elasticsearch 5.x and 6.x but is known to break on 7.x
or higher.
⭐ Telegraf v1.20.0
🏷️ datastore
💻 all
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
## If 'use_system_proxy' is set to true, Telegraf will check env vars such as
## HTTP_PROXY, HTTPS_PROXY, and NO_PROXY (or their lowercase counterparts).
## If 'use_system_proxy' is set to false (default) and 'http_proxy_url' is
## provided, Telegraf will use the specified URL as HTTP proxy.
# use_system_proxy = false
# http_proxy_url = "http://localhost:8888"
[[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_function
: 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
.
Metrics
Example Output