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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.
Lab Info
Table of Contents
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Challenge
Create the apache_policy ILM Policy
- Create the new
apache_policyindex lifecycle management (ILM) policy. - Configure the
rolloveraction for thehotphase to trigger at a max primary shard size of5gb. - Configure the
hotphase toforcemergerolled over indices into a single segment. - Configure the
hotphase to set rolled over indices toreadonly. - Configure the
deletephase todeleteall indices with a minimum age of 90 days.
- Create the new
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Challenge
Create the apache_template Index Template
- Create the new
apache_templateindex template. - Configure the index template to use the
apache_streamdata stream. - Configure the index template to create indices with
1primary and0replica shards. - Configure the index template to create indices that use the
apache_policyILM policy.
- Create the new
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Challenge
Start and Verify the apache_stream Data Stream
- Start the
apache_streamdata stream. - Verify that the
apache_streamdata stream was created with theapache_templatetemplate and has theapache_policyILM policy.
- Start the
About the author
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