Streaming Data in Elasticsearch 7.13

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Streaming Data in Elasticsearch 7.13

In previous versions of Elasticsearch, you had to use a series of APIs to continuously stream data to a “hot” index alias and roll that alias over to new indices as they filled up. Now, in recent versions of Elasticsearch, we can leverage data streams to handle this operation for us. In this hands-on lab, you will create data streams for time-series data in Elasticsearch so that we can continuously write data to indices that automatically rollover when they reach a specified size or age.

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Lab Info

Level

Advanced

Last updated

Sep 24, 2025

Duration

1h 0m

Challenge

Create the apache_policy ILM Policy
1. Create the new apache_policy index lifecycle management (ILM) policy.
2. Configure the rollover action for the hot phase to trigger at a max primary shard size of 5gb.
3. Configure the hot phase to forcemerge rolled over indices into a single segment.
4. Configure the hot phase to set rolled over indices to readonly.
5. Configure the delete phase to delete all indices with a minimum age of 90 days.
Challenge

Create the apache_template Index Template
1. Create the new apache_template index template.
2. Configure the index template to use the apache_stream data stream.
3. Configure the index template to create indices with 1 primary and 0 replica shards.
4. Configure the index template to create indices that use the apache_policy ILM policy.
Challenge

Start and Verify the apache_stream Data Stream
1. Start the apache_stream data stream.
2. Verify that the apache_stream data stream was created with the apache_template template and has the apache_policy ILM policy.

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