72 lines
3 KiB
Plaintext
72 lines
3 KiB
Plaintext
//////////////////////////////////////////////////////////////////////////
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//// This content is shared by all Elastic Beats. Make sure you keep the
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//// descriptions here generic enough to work for all Beats that include
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//// this file. When using cross references, make sure that the cross
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//// references resolve correctly for any files that include this one.
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//// Use the appropriate variables defined in the index.asciidoc file to
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//// resolve Beat names: beatname_uc and beatname_lc.
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//// Use the following include to pull this content into a doc file:
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//// include::../../libbeat/docs/shared-config-ingest.asciidoc[]
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//////////////////////////////////////////////////////////////////////////
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[[configuring-ingest-node]]
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== Parse data by using ingest node
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When you use Elasticsearch for output, you can configure {beatname_uc} to use
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{elasticsearch}/ingest.html[ingest node] to pre-process documents before the
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actual indexing takes place in Elasticsearch. Ingest node is a convenient
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processing option when you want to do some extra processing on your data, but
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you do not require the full power of Logstash. For example, you can create an
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ingest node pipeline in Elasticsearch that consists of one processor that
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removes a field in a document followed by another processor that renames a
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field.
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After defining the pipeline in Elasticsearch, you simply configure {beatname_uc}
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to use the pipeline. To configure {beatname_uc}, you specify the pipeline ID in
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the `parameters` option under `elasticsearch` in the +{beatname_lc}.yml+ file:
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[source,yaml]
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------------------------------------------------------------------------------
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output.elasticsearch:
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hosts: ["localhost:9200"]
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pipeline: my_pipeline_id
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------------------------------------------------------------------------------
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For example, let's say that you've defined the following pipeline in a file
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named `pipeline.json`:
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[source,json]
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------------------------------------------------------------------------------
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{
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"description": "Test pipeline",
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"processors": [
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{
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"lowercase": {
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"field": "beat.name"
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}
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}
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]
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}
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------------------------------------------------------------------------------
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To add the pipeline in Elasticsearch, you would run:
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[source,shell]
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------------------------------------------------------------------------------
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curl -H 'Content-Type: application/json' -XPUT 'http://localhost:9200/_ingest/pipeline/test-pipeline' -d@pipeline.json
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------------------------------------------------------------------------------
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Then in the +{beatname_lc}.yml+ file, you would specify:
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[source,yaml]
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------------------------------------------------------------------------------
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output.elasticsearch:
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hosts: ["localhost:9200"]
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pipeline: "test-pipeline"
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------------------------------------------------------------------------------
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When you run {beatname_uc}, the value of `beat.name` is converted to lowercase before indexing.
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For more information about defining a pre-processing pipeline, see the
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{elasticsearch}/ingest.html[Ingest Node] documentation.
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