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Kofi Bartlett
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Fixed asciidoc styling to md
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deploy-manage/production-guidance/optimize-performance/size-shards.md

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## What is a shard? [what-is-a-shard]
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A shard is a basic unit of storage in {es}. Every index is divided into one or more shards to help distribute data and workload across nodes in a cluster. This division allows {es} to handle large datasets and perform operations like searches and indexing efficiently. For more detailed information on shards, see (this page)[/deploy-manage/distributed-architecture/clusters-nodes-shards].
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A shard is a basic unit of storage in {{es}}. Every index is divided into one or more shards to help distribute data and workload across nodes in a cluster. This division allows {{es}} to handle large datasets and perform operations like searches and indexing efficiently. For more detailed information on shards, see [this page](/deploy-manage/distributed-architecture/clusters-nodes-shards).
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## General guidelines [sizing-shard-guidelines]
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Balancing the number and size of your shards is important for the performance and stability of an {es} cluster:
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Balancing the number and size of your shards is important for the performance and stability of an {{es}} cluster:
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* Too many shards can degrade search performance and make the cluster unstable. This is referred to as _oversharding_.
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* Very large shards can slow down search operations and prolong recovery times after failures.
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To ensure that each node is working optimally, distribute shards evenly across nodes. Uneven distribution can cause some nodes to work harder than others, leading to performance degradation and instability.
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While {es} automatically balances shards, you need to configure indices with an appropriate number of shards and replicas to allow for even distribution across nodes.
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While {{es}} automatically balances shards, you need to configure indices with an appropriate number of shards and replicas to allow for even distribution across nodes.
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If you are using [data streams](/manage-data/data-store/data-streams.md), each data stream is backed by a sequence of indices, each index potentially having multiple shards.
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