elasticsearch/docs/reference/ingest.asciidoc

[[ingest]]
= Ingest pipelines

Ingest pipelines let you perform common transformations on your data before
indexing. For example, you can use pipelines to remove fields, extract values
from text, and enrich your data.

A pipeline consists of a series of configurable tasks called
<<processors,processors>>. Each processor runs sequentially, making specific
changes to incoming documents. After the processors have run, {es} adds the
transformed documents to your data stream or index.

image::images/ingest/ingest-process.svg[Ingest pipeline diagram,align="center"]

You can create and manage ingest pipelines using {kib}'s **Ingest Pipelines**
feature or the <<ingest-apis,ingest APIs>>. {es} stores pipelines in the
<<cluster-state,cluster state>>.

[discrete]
[[ingest-prerequisites]]
=== Prerequisites

* Nodes with the <<node-ingest-node,`ingest`>> node role handle pipeline
processing. To use ingest pipelines, your cluster must have at least one node
with the `ingest` role. For heavy ingest loads, we recommend creating
<<node-ingest-node,dedicated ingest nodes>>.

* If the {es} security features are enabled, you must have the `manage_pipeline`
<<privileges-list-cluster,cluster privilege>> to manage ingest pipelines. To use
{kib}'s **Ingest Pipelines** feature, you also need the
`cluster:monitor/nodes/info` cluster privileges.

* Pipelines including the `enrich` processor require additional setup. See
<<ingest-enriching-data>>.

[discrete]
[[create-manage-ingest-pipelines]]
=== Create and manage pipelines

In {kib}, open the main menu and click **Stack Management** > **Ingest
Pipelines**. From the list view, you can:

* View a list of your pipelines and drill down into details
* Edit or clone existing pipelines
* Delete pipelines

To create a new pipeline, click **Create pipeline**. For an example tutorial,
see <<common-log-format-example>>.

[role="screenshot"]
image::images/ingest/ingest-pipeline-list.png[Kibana's Ingest Pipelines list view,align="center"]

You can also use the <<ingest-apis,ingest APIs>> to create and manage pipelines.
The following <<put-pipeline-api,create pipeline API>> request creates
a pipeline containing two <<set-processor,`set`>> processors followed by a
<<lowercase-processor,`lowercase`>> processor. The processors run sequentially
in the order specified.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "description": "My optional pipeline description",
  "processors": [
    {
      "set": {
        "description": "My optional processor description",
        "field": "my-long-field",
        "value": 10
      }
    },
    {
      "set": {
        "description": "Set 'my-boolean-field' to true",
        "field": "my-boolean-field",
        "value": true
      }
    },
    {
      "lowercase": {
        "field": "my-keyword-field"
      }
    }
  ]
}
----
// TESTSETUP

[discrete]
[[manage-pipeline-versions]]
=== Manage pipeline versions

When you create or update a pipeline, you can specify an optional `version`
integer. You can use this version number with the
<<put-pipeline-api-query-params,`if_version`>> parameter to conditionally
update the pipeline. When the `if_version` parameter is specified, a successful
update increments the pipeline's version.

[source,console]
----
PUT _ingest/pipeline/my-pipeline-id
{
  "version": 1,
  "processors": [ ... ]
}
----
// TEST[s/\.\.\./{"lowercase": {"field":"my-keyword-field"}}/]

To unset the `version` number using the API, replace or update the pipeline
without specifying the `version` parameter.

[discrete]
[[test-pipeline]]
=== Test a pipeline

Before using a pipeline in production, we recommend you test it using sample
documents. When creating or editing a pipeline in {kib}, click **Add
documents**. In the **Documents** tab, provide sample documents and click **Run
the pipeline**.

[role="screenshot"]
image::images/ingest/test-a-pipeline.png[Test a pipeline in Kibana,align="center"]

You can also test pipelines using the <<simulate-pipeline-api,simulate pipeline
API>>. You can specify a configured pipeline in the request path. For example,
the following request tests `my-pipeline`.

[source,console]
----
POST _ingest/pipeline/my-pipeline/_simulate
{
  "docs": [
    {
      "_source": {
        "my-keyword-field": "FOO"
      }
    },
    {
      "_source": {
        "my-keyword-field": "BAR"
      }
    }
  ]
}
----

Alternatively, you can specify a pipeline and its processors in the request
body.

[source,console]
----
POST _ingest/pipeline/_simulate
{
  "pipeline": {
    "processors": [
      {
        "lowercase": {
          "field": "my-keyword-field"
        }
      }
    ]
  },
  "docs": [
    {
      "_source": {
        "my-keyword-field": "FOO"
      }
    },
    {
      "_source": {
        "my-keyword-field": "BAR"
      }
    }
  ]
}
----

The API returns transformed documents:

[source,console-result]
----
{
  "docs": [
    {
      "doc": {
        "_index": "_index",
        "_id": "_id",
        "_source": {
          "my-keyword-field": "foo"
        },
        "_ingest": {
          "timestamp": "2099-03-07T11:04:03.000Z"
        }
      }
    },
    {
      "doc": {
        "_index": "_index",
        "_id": "_id",
        "_source": {
          "my-keyword-field": "bar"
        },
        "_ingest": {
          "timestamp": "2099-03-07T11:04:04.000Z"
        }
      }
    }
  ]
}
----
// TESTRESPONSE[s/"2099-03-07T11:04:03.000Z"/$body.docs.0.doc._ingest.timestamp/]
// TESTRESPONSE[s/"2099-03-07T11:04:04.000Z"/$body.docs.1.doc._ingest.timestamp/]

[discrete]
[[add-pipeline-to-indexing-request]]
=== Add a pipeline to an indexing request

Use the `pipeline` query parameter to apply a pipeline to documents in
<<docs-index_,individual>> or <<docs-bulk,bulk>> indexing requests.

[source,console]
----
POST my-data-stream/_doc?pipeline=my-pipeline
{
  "@timestamp": "2099-03-07T11:04:05.000Z",
  "my-keyword-field": "foo"
}

PUT my-data-stream/_bulk?pipeline=my-pipeline
{ "create":{ } }
{ "@timestamp": "2099-03-07T11:04:06.000Z", "my-keyword-field": "foo" }
{ "create":{ } }
{ "@timestamp": "2099-03-07T11:04:07.000Z", "my-keyword-field": "bar" }
----
// TEST[setup:my_data_stream]
// TEST[teardown:data_stream_cleanup]

You can also use the `pipeline` parameter with the <<docs-update-by-query,update
by query>> or <<docs-reindex,reindex>> APIs.

[source,console]
----
POST my-data-stream/_update_by_query?pipeline=my-pipeline

POST _reindex
{
  "source": {
    "index": "my-data-stream"
  },
  "dest": {
    "index": "my-new-data-stream",
    "op_type": "create",
    "pipeline": "my-pipeline"
  }
}
----
// TEST[setup:my_data_stream]
// TEST[teardown:data_stream_cleanup]

[discrete]
[[set-default-pipeline]]
=== Set a default pipeline

Use the <<index-default-pipeline,`index.default_pipeline`>> index setting to set
a default pipeline. {es} applies this pipeline to indexing requests if no
`pipeline` parameter is specified.

[discrete]
[[set-final-pipeline]]
=== Set a final pipeline

Use the <<index-final-pipeline,`index.final_pipeline`>> index setting to set a
final pipeline. {es} applies this pipeline after the request or default
pipeline, even if neither is specified.

[discrete]
[[pipelines-for-beats]]
=== Pipelines for {beats}

To add an ingest pipeline to an Elastic Beat, specify the `pipeline`
parameter under `output.elasticsearch` in `<BEAT_NAME>.yml`. For example,
for {filebeat}, you'd specify `pipeline` in `filebeat.yml`.

[source,yaml]
----
output.elasticsearch:
  hosts: ["localhost:9200"]
  pipeline: my-pipeline
----

[discrete]
[[pipelines-for-fleet-elastic-agent]]
=== Pipelines for {fleet} and {agent}

{fleet-guide}/index.html[{fleet}] automatically adds ingest pipelines for its
integrations. {fleet} applies these pipelines using <<index-templates,index
templates>> that include <<set-default-pipeline,pipeline index settings>>. {es}
matches these templates to your {fleet} data streams based on the
{fleet-guide}/data-streams.html#data-streams-naming-scheme[stream's naming
scheme].

WARNING: Do not change {fleet}'s ingest pipelines or use custom pipelines for
your {fleet} integrations. Doing so can break your {fleet} data streams.

{fleet} doesn't provide an ingest pipeline for the **Custom logs** integration.
You can safely specify a pipeline for this integration in one of two ways: an
<<pipeline-custom-logs-index-template,index template>> or a
<<pipeline-custom-logs-configuration,custom configuration>>.

[[pipeline-custom-logs-index-template]]
**Option 1: Index template**

// tag::create-name-custom-logs-pipeline[]
. <<create-manage-ingest-pipelines,Create>> and <<test-pipeline,test>> your
ingest pipeline. Name your pipeline `logs-<dataset-name>-default`. This makes
tracking the pipeline for your integration easier.
+
--
For example, the following request creates a pipeline for the `my-app` dataset.
The pipeline's name is `logs-my_app-default`.

[source,console]
----
PUT _ingest/pipeline/logs-my_app-default
{
  "description": "Pipeline for `my_app` dataset",
  "processors": [ ... ]
}
----
// TEST[s/\.\.\./{"lowercase": {"field":"my-keyword-field"}}/]
--
// end::create-name-custom-logs-pipeline[]

. Create an <<index-templates,index template>> that includes your pipeline in
the <<index-default-pipeline,`index.default_pipeline`>> or
<<index-final-pipeline,`index.final_pipeline`>> index setting. Ensure the
template is <<create-index-template,data stream enabled>>. The
template's index pattern should match `logs-<dataset-name>-*`.
+
--
You can create this template using {kib}'s <<manage-index-templates,**Index
Management**>> feature or the <<indices-put-template,create index template
API>>.

For example, the following request creates a template matching `logs-my_app-*`.
The template uses a component template that contains the
`index.default_pipeline` index setting.

[source,console]
----
# Creates a component template for index settings
PUT _component_template/logs-my_app-settings
{
  "template": {
    "settings": {
      "index.default_pipeline": "logs-my_app-default",
      "index.lifecycle.name": "logs"
    }
  }
}

# Creates an index template matching `logs-my_app-*`
PUT _index_template/logs-my_app-template
{
  "index_patterns": ["logs-my_app-*"],
  "data_stream": { },
  "priority": 500,
  "composed_of": ["logs-my_app-settings", "logs-my_app-mappings"]
}
----
// TEST[continued]
// TEST[s/, "logs-my_app-mappings"//]
--
// tag::name-custom-logs-dataset[]
. When adding or editing your **Custom logs** integration in {fleet},
click **Configure integration > Custom log file > Advanced options**.

. In **Dataset name**, specify your dataset's name. {fleet} will add new data
for the integration to the resulting `logs-<dataset-name>-default` data stream.
+
For example, if your dataset's name was `my_app`, {fleet} adds new data to the
`logs-my_app-default` data stream.
// end::name-custom-logs-dataset[]
+
[role="screenshot"]
image::images/ingest/custom-logs.png[Set up custom log integration in Fleet,align="center"]

. Use the <<indices-rollover-index,rollover API>> to roll over your data stream.
This ensures {es} applies the index template and its pipeline settings to any
new data for the integration.
+
--
////
[source,console]
----
PUT _data_stream/logs-my_app-default
----
// TEST[continued]
////

[source,console]
----
POST logs-my_app-default/_rollover/
----
// TEST[continued]

////
[source,console]
----
DELETE _data_stream/*
DELETE _index_template/*
----
// TEST[continued]
////
--

[[pipeline-custom-logs-configuration]]
**Option 2: Custom configuration**

include::ingest.asciidoc[tag=create-name-custom-logs-pipeline]

include::ingest.asciidoc[tag=name-custom-logs-dataset]

. In **Custom Configurations**, specify your pipeline in the `pipeline` policy
setting.
+
[role="screenshot"]
image::images/ingest/custom-logs-pipeline.png[Custom pipeline configuration for custom log integration,align="center"]

**{agent} standalone**

If you run {agent} standalone, you can apply pipelines using an
<<index-templates,index template>> that includes the
<<index-default-pipeline,`index.default_pipeline`>> or
<<index-final-pipeline,`index.final_pipeline`>> index setting. Alternatively,
you can specify the `pipeline` policy setting in your `elastic-agent.yml`
configuration. See {fleet-guide}/install-standalone-elastic-agent.html[Install standalone {agent}s].

[discrete]
[[access-source-fields]]
=== Access source fields in a processor

Processors have read and write access to an incoming document's source fields.
To access a field key in a processor, use its field name. The following `set`
processor accesses `my-long-field`.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "field": "my-long-field",
        "value": 10
      }
    }
  ]
}
----

You can also prepend the `_source` prefix.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "field": "_source.my-long-field",
        "value": 10
      }
    }
  ]
}
----

Use dot notation to access object fields.

IMPORTANT: If your document contains flattened objects, use the
<<dot-expand-processor,`dot_expander`>> processor to expand them first. Other
ingest processors cannot access flattened objects.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "dot_expander": {
        "description": "Expand 'my-object-field.my-property'",
        "field": "my-object-field.my-property"
      }
    },
    {
      "set": {
        "description": "Set 'my-object-field.my-property' to 10",
        "field": "my-object-field.my-property",
        "value": 10
      }
    }
  ]
}
----

[[template-snippets]]
Several processor parameters support https://mustache.github.io[Mustache]
template snippets. To access field values in a template snippet, enclose the
field name in triple curly brackets:`{{{field-name}}}`. You can use template
snippets to dynamically set field names.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "description": "Set dynamic '<service>' field to 'code' value",
        "field": "{{{service}}}",
        "value": "{{{code}}}"
      }
    }
  ]
}
----

[discrete]
[[access-metadata-fields]]
=== Access metadata fields in a processor

Processors can access the following metadata fields by name:

* `_index`
* `_id`
* `_routing`
* `_dynamic_templates`

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "description": "Set '_routing' to 'geoip.country_iso_code' value",
        "field": "_routing",
        "value": "{{{geoip.country_iso_code}}}"
      }
    }
  ]
}
----

Use a Mustache template snippet to access metadata field values. For example,
`{{{_routing}}}` retrieves a document's routing value.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "description": "Use geo_point dynamic template for address field",
        "field": "_dynamic_templates",
        "value": {
          "address": "geo_point"
        }
      }
    }
  ]
}
----

The set processor above tells ES to use the dynamic template named `geo_point`
for the field `address` if this field is not defined in the mapping of the index
yet. This processor overrides the dynamic template for the field `address` if
already defined in the bulk request, but has no effect on other dynamic
templates defined in the bulk request.

WARNING: If you <<create-document-ids-automatically,automatically generate>>
document IDs, you cannot use `{{{_id}}}` in a processor. {es} assigns
auto-generated `_id` values after ingest.

[discrete]
[[access-ingest-metadata]]
=== Access ingest metadata in a processor

Ingest processors can add and access ingest metadata using the `_ingest` key.

Unlike source and metadata fields, {es} does not index ingest metadata fields by
default. {es} also allows source fields that start with an `_ingest` key. If
your data includes such source fields, use `_source._ingest` to access them.

Pipelines only create the `_ingest.timestamp` ingest metadata field by default.
This field contains a timestamp of when {es} received the document's indexing
request. To index `_ingest.timestamp` or other ingest metadata fields, use the
`set` processor.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "description": "Index the ingest timestamp as 'event.ingested'",
        "field": "event.ingested",
        "value": "{{{_ingest.timestamp}}}"
      }
    }
  ]
}
----

[discrete]
[[handling-pipeline-failures]]
=== Handling pipeline failures

A pipeline's processors run sequentially. By default, pipeline processing stops
when one of these processors fails or encounters an error.

To ignore a processor failure and run the pipeline's remaining processors, set
`ignore_failure` to `true`.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "rename": {
        "description": "Rename 'provider' to 'cloud.provider'",
        "field": "provider",
        "target_field": "cloud.provider",
        "ignore_failure": true
      }
    }
  ]
}
----

Use the `on_failure` parameter to specify a list of processors to run
immediately after a processor failure. If `on_failure` is specified, {es}
afterward runs the pipeline's remaining processors, even if the `on_failure`
configuration is empty.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "rename": {
        "description": "Rename 'provider' to 'cloud.provider'",
        "field": "provider",
        "target_field": "cloud.provider",
        "on_failure": [
          {
            "set": {
              "description": "Set 'error.message'",
              "field": "error.message",
              "value": "Field 'provider' does not exist. Cannot rename to 'cloud.provider'",
              "override": false
            }
          }
        ]
      }
    }
  ]
}
----

Nest a list of `on_failure` processors for nested error handling.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "rename": {
        "description": "Rename 'provider' to 'cloud.provider'",
        "field": "provider",
        "target_field": "cloud.provider",
        "on_failure": [
          {
            "set": {
              "description": "Set 'error.message'",
              "field": "error.message",
              "value": "Field 'provider' does not exist. Cannot rename to 'cloud.provider'",
              "override": false,
              "on_failure": [
                {
                  "set": {
                    "description": "Set 'error.message.multi'",
                    "field": "error.message.multi",
                    "value": "Document encountered multiple ingest errors",
                    "override": true
                  }
                }
              ]
            }
          }
        ]
      }
    }
  ]
}
----

You can also specify `on_failure` for a pipeline. If a processor without an
`on_failure` value fails, {es} uses this pipeline-level parameter as a fallback.
{es} will not attempt to run the pipeline's remaining processors.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [ ... ],
  "on_failure": [
    {
      "set": {
        "description": "Index document to 'failed-<index>'",
        "field": "_index",
        "value": "failed-{{{ _index }}}"
      }
    }
  ]
}
----
// TEST[s/\.\.\./{"lowercase": {"field":"my-keyword-field"}}/]

Additional information about the pipeline failure may be available in the
document metadata fields `on_failure_message`, `on_failure_processor_type`,
`on_failure_processor_tag`, and `on_failure_pipeline`. These fields are
accessible only from within an `on_failure` block.

The following example uses the metadata fields to include information about
pipeline failures in documents.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [ ... ],
  "on_failure": [
    {
      "set": {
        "description": "Record error information",
        "field": "error_information",
        "value": "Processor {{ _ingest.on_failure_processor_type }} with tag {{ _ingest.on_failure_processor_tag }} in pipeline {{ _ingest.on_failure_pipeline }} failed with message {{ _ingest.on_failure_message }}"
      }
    }
  ]
}
----
// TEST[s/\.\.\./{"lowercase": {"field":"my-keyword-field"}}/]

[discrete]
[[conditionally-run-processor]]
=== Conditionally run a processor

Each processor supports an optional `if` condition, written as a
{painless}/painless-guide.html[Painless script]. If provided, the processor only
runs when the `if` condition is `true`.

IMPORTANT: `if` condition scripts run in Painless's
{painless}/painless-ingest-processor-context.html[ingest processor context]. In
`if` conditions, `ctx` values are read-only.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "drop": {
        "description": "Drop documents with 'network.name' of 'Guest'",
        "if": "ctx?.network?.name == 'Guest'"
      }
    }
  ]
}
----

If the <<script-painless-regex-enabled,`script.painless.regex.enabled`>> cluster
setting is enabled, you can use regular expressions in your `if` condition
scripts. For supported syntax, see {painless}/painless-regexes.html[Painless
regular expressions].

TIP: If possible, avoid using regular expressions. Expensive regular expressions
can slow indexing speeds.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "set": {
        "description": "If 'url.scheme' is 'http', set 'url.insecure' to true",
        "if": "ctx.url?.scheme =~ /^http[^s]/",
        "field": "url.insecure",
        "value": true
      }
    }
  ]
}
----

You must specify `if` conditions as valid JSON on a single line. However, you
can use the {kibana-ref}/console-kibana.html#configuring-console[{kib}
console]'s triple quote syntax to write and debug larger scripts.

TIP: If possible, avoid using complex or expensive `if` condition scripts.
Expensive condition scripts can slow indexing speeds.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "drop": {
        "description": "Drop documents that don't contain 'prod' tag",
        "if": """
            Collection tags = ctx.tags;
            if(tags != null){
              for (String tag : tags) {
                if (tag.toLowerCase().contains('prod')) {
                  return false;
                }
              }
            }
            return true;
        """
      }
    }
  ]
}
----

You can also specify a <<modules-scripting-stored-scripts,stored script>> as the
`if` condition.

[source,console]
----
PUT _scripts/my-prod-tag-script
{
  "script": {
    "lang": "painless",
    "source": """
      Collection tags = ctx.tags;
      if(tags != null){
        for (String tag : tags) {
          if (tag.toLowerCase().contains('prod')) {
            return false;
          }
        }
      }
      return true;
    """
  }
}

PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "drop": {
        "description": "Drop documents that don't contain 'prod' tag",
        "if": { "id": "my-prod-tag-script" }
      }
    }
  ]
}
----

////
[source,console]
----
DELETE _scripts/my-prod-tag-script
DELETE _ingest/pipeline/my-pipeline
----
// TEST[continued]
////

Incoming documents often contain object fields. If a processor script attempts
to access a field whose parent object does not exist, {es} returns a
`NullPointerException`. To avoid these exceptions, use
{painless}/painless-operators-reference.html#null-safe-operator[null safe
operators], such as `?.`, and write your scripts to be null safe.

For example, `ctx.network?.name.equalsIgnoreCase('Guest')` is not null safe.
`ctx.network?.name` can return null. Rewrite the script as
`'Guest'.equalsIgnoreCase(ctx.network?.name)`, which is null safe because
`Guest` is always non-null.

If you can't rewrite a script to be null safe, include an explicit null check.

[source,console]
----
PUT _ingest/pipeline/my-pipeline
{
  "processors": [
    {
      "drop": {
        "description": "Drop documents that contain 'network.name' of 'Guest'",
        "if": "ctx.network?.name != null && ctx.network.name.contains('Guest')"
      }
    }
  ]
}
----

[discrete]
[[conditionally-apply-pipelines]]
=== Conditionally apply pipelines

Combine an `if` condition with the <<pipeline-processor,`pipeline`>> processor
to apply other pipelines to documents based on your criteria. You can use this
pipeline as the <<set-default-pipeline,default pipeline>> in an
<<index-templates,index template>> used to configure multiple data streams or
indices.

[source,console]
----
PUT _ingest/pipeline/one-pipeline-to-rule-them-all
{
  "processors": [
    {
      "pipeline": {
        "description": "If 'service.name' is 'apache_httpd', use 'httpd_pipeline'",
        "if": "ctx.service?.name == 'apache_httpd'",
        "name": "httpd_pipeline"
      }
    },
    {
      "pipeline": {
        "description": "If 'service.name' is 'syslog', use 'syslog_pipeline'",
        "if": "ctx.service?.name == 'syslog'",
        "name": "syslog_pipeline"
      }
    },
    {
      "fail": {
        "description": "If 'service.name' is not 'apache_httpd' or 'syslog', return a failure message",
        "if": "ctx.service?.name != 'apache_httpd' && ctx.service?.name != 'syslog'",
        "message": "This pipeline requires service.name to be either `syslog` or `apache_httpd`"
      }
    }
  ]
}
----

[discrete]
[[get-pipeline-usage-stats]]
=== Get pipeline usage statistics

Use the <<cluster-nodes-stats,node stats>> API to get global and per-pipeline
ingest statistics. Use these stats to determine which pipelines run most
frequently or spend the most time processing.

[source,console]
----
GET _nodes/stats/ingest?filter_path=nodes.*.ingest
----

include::ingest/common-log-format-example.asciidoc[]
include::ingest/enrich.asciidoc[]
include::ingest/processors.asciidoc[]