46 lines
1.9 KiB
Markdown
46 lines
1.9 KiB
Markdown
---
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layout: default
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title: Migrating from Logstash
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nav_order: 30
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---
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# Migrating from Logstash
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You can run Data Prepper with a Logstash configuration.
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As mentioned in the [Getting started]({{site.url}}{{site.baseurl}}/data-prepper/get-started/) guide, you'll need to configure Data Prepper with a pipeline using a `pipelines.yaml` file.
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Alternatively, if you have a Logstash configuration `logstash.conf` to configure Data Prepper instead of `pipelines.yaml`.
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## Supported plugins
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As of the Data Prepper 1.2 release, the following plugins from the Logstash configuration are supported:
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* HTTP Input plugin
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* Grok Filter plugin
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* Elasticsearch Output plugin
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* Amazon Elasticsearch Output plugin
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## Limitations
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* Apart from the supported plugins, all other plugins from the Logstash configuration will throw an `Exception` and fail to run.
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* Conditionals in the Logstash configuration are not supported as of the Data Prepper 1.2 release.
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## Running Data Prepper with a Logstash configuration
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1. To install Data Prepper's Docker image, see the Installing Data Prepper in [Get Started]({{site.url}}{{site.baseurl}}/data-prepper/get-started#1-installing-data-prepper).
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2. Run the Docker image installed in Step 1 by supplying your `logstash.conf` configuration.
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```
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docker run --name data-prepper -p 4900:4900 -v ${PWD}/logstash.conf:/usr/share/data-prepper/pipelines.conf opensearchproject/data-prepper:latest pipelines.conf
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```
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The `logstash.conf` file is converted to `logstash.yaml` by mapping the plugins and attributes in the Logstash configuration to the corresponding plugins and attributes in Data Prepper.
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You can find the converted `logstash.yaml` file in the same directory where you stored `logstash.conf`.
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The following output in your terminal indicates that Data Prepper is running correctly:
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```
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INFO org.opensearch.dataprepper.pipeline.ProcessWorker - log-pipeline Worker: No records received from buffer
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```
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