ES_FIELD_CACHE_MERGE_CONTENTION elasticsearch runtime_error ai_generated partial

ElasticsearchException: field cache merge contention detected on index [my_index], shard [0], segment [_a1b2c3]

ID: elasticsearch/field-cache-merge-contention

Also available as: JSON · Markdown · 中文
82%Fix Rate
85%Confidence
1Evidence
2025-01-20First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
7.17.0 active
8.11.0 active
8.12.0 active

Root Cause

Concurrent segment merges trigger field cache rebuilds, causing contention and increased latency when multiple merges try to update the same cache entries.

generic

中文

并发段合并触发字段缓存重建,当多个合并尝试更新相同缓存条目时,导致争用和延迟增加。

Official Documentation

https://www.elastic.co/guide/en/elasticsearch/reference/current/field-cache.html

Workarounds

  1. 80% success Reduce merge concurrency by setting `index.merge.scheduler.max_thread_count: 2` and `index.merge.scheduler.max_merge_count: 6`.
    Reduce merge concurrency by setting `index.merge.scheduler.max_thread_count: 2` and `index.merge.scheduler.max_merge_count: 6`.
  2. 75% success Use `indices.fielddata.cache.expire: 30m` to clear field cache periodically, reducing contention windows.
    Use `indices.fielddata.cache.expire: 30m` to clear field cache periodically, reducing contention windows.
  3. 90% success Force merge indices during maintenance windows: `POST my_index/_forcemerge?max_num_segments=1`.
    Force merge indices during maintenance windows: `POST my_index/_forcemerge?max_num_segments=1`.

中文步骤

  1. Reduce merge concurrency by setting `index.merge.scheduler.max_thread_count: 2` and `index.merge.scheduler.max_merge_count: 6`.
  2. Use `indices.fielddata.cache.expire: 30m` to clear field cache periodically, reducing contention windows.
  3. Force merge indices during maintenance windows: `POST my_index/_forcemerge?max_num_segments=1`.

Dead Ends

Common approaches that don't work:

  1. 80% fail

    Reduces merge concurrency but increases merge time and can lead to too many segments, degrading search performance.

  2. 70% fail

    Larger cache delays contention but doesn't prevent it; high memory usage may cause OOM.