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Parse logs by using ingest node
editParse logs by using ingest node
editWhen you use Elasticsearch for output, you can configure Metricbeat to use ingest node to pre-process documents before the actual indexing takes place in Elasticsearch. Ingest node is a convenient processing option when you want to do some extra processing on your data, but you do not require the full power of Logstash. For example, you can create an ingest node pipeline in Elasticsearch that consists of one processor that removes a field in a document followed by another processor that renames a field.
After defining the pipeline in Elasticsearch, you simply configure your Beat to use the pipeline. To configure
Metricbeat, you specify the pipeline ID in the parameters
option under elasticsearch
in the
metricbeat.yml
file:
output.elasticsearch: hosts: ["localhost:9200"] pipeline: my_pipeline_id
For example, let’s say that you’ve defined the following pipeline in a file named pipeline.json
:
{ "description": "Test pipeline", "processors": [ { "lowercase": { "field": "beat.name" } } ] }
To add the pipeline in Elasticsearch, you would run:
curl -H 'Content-Type: application/json' -XPUT 'http://localhost:9200/_ingest/pipeline/test-pipeline' -d@pipeline.json
Then in the metricbeat.yml
file, you would specify:
output.elasticsearch: hosts: ["localhost:9200"] pipeline: "test-pipeline"
When you run Metricbeat, the value of beat.name
is converted to lowercase before indexing.
For more information about defining a pre-processing pipeline, see the Ingest Node documentation.