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Elasticsearch multiple index vs single index. .


Elasticsearch multiple index vs single index. Jan 28, 2024 · This guide discusses best practices and performance optimization techniques when working with multiple indexes in Elasticsearch. Which of the two gives a better performance in terms of searching? Knowing that if I stored data in multiple indices, I will search only in one of these indices (based on the request). Thanks in advance. Using a single index with all the data makes more complicated to manage the permissions of who can read or not the data, you would need to use document level security, which is a paid feature. That is an impossible question to answer as it depends a lot on the use-case. Jul 23, 2025 · In Elasticsearch, multi-index search refers to the capability of querying across multiple indices simultaneously. This feature is particularly useful when you have different types of data stored in separate indices and need to search across them in a single query. . As this goes, you will naturally need to roll the index alias more frequently as ingestion rate increases, resulting in more indices with optimally sized shards. Jan 28, 2019 · Creating separate indices for different types of environments may be a good idea as they could very well have different retention requirements, which often is managed at the index level. You could start out going to one index, with a primary shard per node in your cluster, and roll to a new index at size intervals. nrr jqlfcd oshxb psjh dmmbvfy uqyerq immvr yebfg ezvtk fdrmnkn

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