Redocument the `index.merge.scheduler.max_thread_count` setting
Closes #16961
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@ -148,6 +148,10 @@ Other index settings are available in index modules:
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Enable or disable dynamic mapping for an index.
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<<index-modules-merge,Merging>>::
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Control over how shards are merged by the background merge process.
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<<index-modules-similarity,Similarities>>::
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Configure custom similarity settings to customize how search results are
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@ -173,6 +177,8 @@ include::index-modules/allocation.asciidoc[]
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include::index-modules/mapper.asciidoc[]
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include::index-modules/merge.asciidoc[]
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include::index-modules/similarity.asciidoc[]
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include::index-modules/slowlog.asciidoc[]
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@ -0,0 +1,30 @@
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[[index-modules-merge]]
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== Merge
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A shard in elasticsearch is a Lucene index, and a Lucene index is broken down
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into segments. Segments are internal storage elements in the index where the
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index data is stored, and are immutable. Smaller segments are periodically
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merged into larger segments to keep the index size at bay and to expunge
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deletes.
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The merge process uses auto-throttling to balance the use of hardware
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resources between merging and other activities like search.
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[float]
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[[merge-scheduling]]
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=== Merge scheduling
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The merge scheduler (ConcurrentMergeScheduler) controls the execution of merge
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operations when they are needed. Merges run in separate threads, and when the
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maximum number of threads is reached, further merges will wait until a merge
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thread becomes available.
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The merge scheduler supports the following _dynamic_ setting:
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`index.merge.scheduler.max_thread_count`::
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The maximum number of threads that may be merging at once. Defaults to
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`Math.max(1, Math.min(4, Runtime.getRuntime().availableProcessors() / 2))`
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which works well for a good solid-state-disk (SSD). If your index is on
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spinning platter drives instead, decrease this to 1.
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