When communicating over SSL, this plugin fully-validates the proof-of-identity presented by Elasticsearch using the system trust store. You can provide an alternate source of trust with one of:

You can also configure which aspects of the proof-of-identity are verified (see ssl_verification_mode).

When communicating over SSL, you can also configure this plugin to present a certificate-based proof-of-identity to the Elasticsearch cluster it connects to using one of:

You can configure this plugin to present authentication credentials to Elasticsearch in one of several ways:

During execution, the Ingest pipeline works with a temporary mutable view of the Logstash event that re-shapes some Logstash-reserved fields into their expected IngestDocument field names and object-types. Changes to the IngestDocument will be reflected in the resulting Logstash Event, including safely mapping these reserved fields back from the IngestDocument reserved field to the Logstash reserved field counterpart.

The encoded form of an API key that is used to authenticate this plugin to Elasticsearch

A password when using HTTP Basic Authentication to connect to Elasticsearch.

A user name when using HTTP Basic Authentication to connect to Elasticsearch.

Cloud authentication string ("<username>:<password>" format) is an alternative for the auth_basic_username/auth_basic_password pair and can be obtained from Elastic Cloud web console.

Cloud Id, from the Elastic Cloud web console.

When connecting with a Cloud Id, communication to Elasticsearch is secured with SSL.

For more details, check out the Logstash-to-Cloud documentation.

A non-empty list of Elasticsearch hosts to connect.

Examples:

`"127.0.0.1"`
`["127.0.0.1:9200","127.0.0.2:9200"]`
`["http://127.0.0.1"]`
`["https://127.0.0.1:9200"]`
`["https://127.0.0.1:9200/subpath"]` (If using a proxy on a subpath)

When connecting with a list of hosts, communication to Elasticsearch is secured with SSL unless configured otherwise.

Path to a PEM-encoded certificate or certificate chain with which to identify this plugin to Elasticsearch.

One or more PEM-formatted files defining certificate authorities.

This setting can be used to override the system trust store for verifying the SSL certificate presented by Elasticsearch.

Secure SSL communication to Elasticsearch is enabled unless:

Specifying +ssl_enabled => true+ can be a helpful redundant safeguard to ensure this plugin cannot be configured to use non-ssl communication.

A path to a PKCS8-formatted SSL certificate key.

Password for the ssl_keystore_path

A path to a JKS- or PKCS12-formatted keystore with which to identify this plugin to Elasticsearch.

A password or passphrase of the ssl_key.

A path to JKS- or PKCS12-formatted keystore where trusted certificates are located.

This setting can be used to override the system trust store for verifying the SSL certificate presented by Elasticsearch.

Password for the ssl_truststore_path.

Level of verification of the certificate provided by Elasticsearch.

SSL certificates presented by Elasticsearch are fully-validated by default.

When using the GeoIp processor, this plugin does not have access to the GeoIp databases that are a part of the Elasticsearch cluster, and must be configured with locally-available database files.

Databases are registered by file name, and most integrations rely on databases being present named:

This plugin will discover any regular file with the .mmdb suffix in the provided directory, and expects the files it finds to be in the MaxMind DB format.

If this filter is successful, add any arbitrary fields to this event. Field names can be dynamic and include parts of the event using the %{field}.

Example:

    filter {
      elastic_integration {
        add_field => { "foo_%{somefield}" => "Hello world, from %{host}" }
      }
    }

    # You can also add multiple fields at once:
    filter {
      elastic_integration {
        add_field => {
          "foo_%{somefield}" => "Hello world, from %{host}"
          "new_field" => "new_static_value"
        }
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would add field foo_hello if it is present, with the value above and the %{host} piece replaced with that value from the event. The second example would also add a hardcoded field.

If this filter is successful, add arbitrary tags to the event. Tags can be dynamic and include parts of the event using the %{field} syntax.

Example:

    filter {
      elastic_integration {
        add_tag => [ "foo_%{somefield}" ]
      }
    }

    # You can also add multiple tags at once:
    filter {
      elastic_integration {
        add_tag => [ "foo_%{somefield}", "taggedy_tag"]
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would add a tag foo_hello (and the second example would of course add a taggedy_tag tag).

Disable or enable metric logging for this specific plugin instance by default we record all the metrics we can, but you can disable metrics collection for a specific plugin.

Add a unique ID to the plugin configuration. If no ID is specified, Logstash will generate one. It is strongly recommended to set this ID in your configuration. This is particularly useful when you have two or more plugins of the same type, for example, if you have 2 elastic_integration filters. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

    filter {
      elastic_integration {
        id => "ABC"
      }
    }

Call the filter flush method at regular interval. Optional.

If this filter is successful, remove arbitrary fields from this event. Fields names can be dynamic and include parts of the event using the %{field} Example:

    filter {
      elastic_integration {
        remove_field => [ "foo_%{somefield}" ]
      }
    }

    # You can also remove multiple fields at once:
    filter {
      elastic_integration {
        remove_field => [ "foo_%{somefield}", "my_extraneous_field" ]
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would remove the field with name foo_hello if it is present. The second example would remove an additional, non-dynamic field.

If this filter is successful, remove arbitrary tags from the event. Tags can be dynamic and include parts of the event using the %{field} syntax.

Example:

    filter {
      elastic_integration {
        remove_tag => [ "foo_%{somefield}" ]
      }
    }

    # You can also remove multiple tags at once:
    filter {
      elastic_integration {
        remove_tag => [ "foo_%{somefield}", "sad_unwanted_tag"]
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would remove the tag foo_hello if it is present. The second example would remove a sad, unwanted tag as well.