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<h2 class="title"><a id="multiple-pipelines"></a>Multiple Pipelines<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/logstash/edit/7.1/docs/static/multiple-pipelines.asciidoc">edit</a></h2>
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<p>If you need to run more than one pipeline in the same process, Logstash provides a way to do this through a configuration file called <code class="literal">pipelines.yml</code>.
This file must be placed in the <code class="literal">path.settings</code> folder and follows this structure:</p>
<div class="pre_wrapper lang-yaml">
<pre class="programlisting prettyprint lang-yaml">- pipeline.id: my-pipeline_1
path.config: "/etc/path/to/p1.config"
pipeline.workers: 3
- pipeline.id: my-other-pipeline
path.config: "/etc/different/path/p2.cfg"
queue.type: persisted</pre>
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<p>This file is formatted in YAML and contains a list of dictionaries, where each dictionary describes a pipeline, and each key/value pair specifies a setting for that pipeline. The example shows two different pipelines described by their IDs and configuration paths. For the first pipeline, the value of <code class="literal">pipeline.workers</code> is set to 3, while in the other, the persistent queue feature is enabled.
The value of a setting that is not explicitly set in the <code class="literal">pipelines.yml</code> file will fall back to the default specified in the <code class="literal">logstash.yml</code> <a class="xref" href="logstash-settings-file.html" title="logstash.yml">settings file</a>.</p>
<p>When you start Logstash without arguments, it will read the <code class="literal">pipelines.yml</code> file and instantiate all pipelines specified in the file. On the other hand, when you use <code class="literal">-e</code> or <code class="literal">-f</code>, Logstash ignores the <code class="literal">pipelines.yml</code> file and logs a warning about it.</p>
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<h3 class="title"><a id="multiple-pipeline-usage"></a>Usage Considerations<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/logstash/edit/7.1/docs/static/multiple-pipelines.asciidoc">edit</a></h3>
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<p>Using multiple pipelines is especially useful if your current configuration has event flows that don’t share the same inputs/filters and outputs and are being separated from each other using tags and conditionals.</p>
<p>Having multiple pipelines in a single instance also allows these event flows to have different performance and durability parameters (for example, different settings for pipeline workers and persistent queues). This separation means that a blocked output in one pipeline won’t exert backpressure in the other.</p>
<p>That said, it’s important to take into account resource competition between the pipelines, given that the default values are tuned for a single pipeline. So, for example, consider reducing the number of pipeline workers used by each pipeline, because each pipeline will use 1 worker per CPU core by default.</p>
<p>Persistent queues and dead letter queues are isolated per pipeline, with their locations namespaced by the <code class="literal">pipeline.id</code> value.</p>
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