# Derive metrics from aggregating Elasticsearch query results
[[inputs.elasticsearch_query]]
  ## Full HTTP endpoint URL for your Elasticsearch instance
  ## Multiple urls can be specified as part of the same cluster, but only ONE
  ## will be queried in each interval.
  urls = [ "http://node1.es.example.com:9200" ]

  ## Timeout for operations
  # timeout = "5s"

  ## List all cluster nodes making it unnecessary to list all nodes in 'urls'
  # enable_sniffer = false

  ## Interval for checking availability of cluster nodes; only used if sniffer
  ## is enabled (0s will disable checks)
  # health_check_interval = "10s"

  ## HTTP basic authentication credentials
  # 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-*"

    ## Date/time field in the Elasticsearch index
    date_field = "@timestamp"

    ## Custom format for date/time field if used
    # date_field_custom_format = ""

    ## Time window to query (eg. "1m" to query documents from last minute).
    ## 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; required if
    ## 'metric_fields' is set. Available values: avg, sum, min, max, sum
    # metric_function = "avg"

    ## Text, non-analyzed fields to be used as tags
    # tags = ["field.keyword", "field2.keyword"]

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

    ## Fallback value when the tag does not exist; ignored if
    ## include_missing_tag is false
    # missing_tag_value = "null"

[[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"

[[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"

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

[[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"