ES_SHARD_CACHE_EVICTION_MEM elasticsearch resource_error ai_generated true

Elasticsearch异常：分片请求缓存逐出触发内存压力，当前堆使用率 [85%]

ElasticsearchException: shard request cache eviction triggered memory pressure, current heap usage [85%]

ID: elasticsearch/shard-request-cache-eviction-memory-pressure

其他格式: JSON · Markdown 中文 · English
83%修复率
88%置信度
1证据数
2024-09-01首次发现

版本兼容性

版本状态引入弃用备注
7.17.0 active — — —
8.11.0 active — — —
8.12.0 active — — —

根因分析

在高查询负载下，分片请求缓存增长过大，导致频繁逐出，增加堆压力并降低性能。

English

The shard request cache grows too large under high query load, causing frequent evictions that increase heap pressure and degrade performance.

generic

官方文档

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

解决方案

  1. Reduce cache size by setting `indices.requests.cache.size: 1%` in `elasticsearch.yml` to limit heap usage.
  2. Use explicit query caching with `?request_cache=true` only for queries that benefit from it, and set `index.requests.cache.enable: false` on indices with high write volume.
  3. Monitor cache eviction rates via `GET _nodes/stats/indices/request_cache` and optimize queries to reduce cache churn.

无效尝试

常见但无效的做法:

  1. 70% 失败

    Larger heap delays evictions but doesn't solve the root cause of excessive caching; cache can grow unbounded and cause GC issues.

  2. 65% 失败

    Disabling cache increases query latency for repeated queries, especially in dashboards or reporting scenarios.