ES_INGEST_GROK_TIMEOUT elasticsearch runtime_error ai_generated true

摄取处理器异常：管道 [my_pipeline] 处理器 [grok] 失败，消息为 [grok 模式 [%{GREEDYDATA:message}] 超时 [5000ms]]

IngestProcessorException: pipeline [my_pipeline] processor [grok] failed with message [grok pattern [%{GREEDYDATA:message}] timed out after [5000ms]]

ID: elasticsearch/ingest-pipeline-grok-timeout

其他格式: JSON · Markdown 中文 · English
84%修复率
87%置信度
1证据数
2024-11-10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

由于复杂的正则表达式或输入数据过大，摄取管道中的 grok 模式匹配耗时过长，超过默认超时时间。

English

A grok pattern in an ingest pipeline takes too long to match due to complex regex or large input data, exceeding the default timeout.

generic

官方文档

https://www.elastic.co/guide/en/elasticsearch/reference/current/grok-processor.html

解决方案

  1. Optimize the grok pattern by replacing `%{GREEDYDATA}` with more specific patterns (e.g., `%{DATA}` or `%{TIMESTAMP_ISO8601}`) and using anchors like `^` and `$`.
  2. Set `ignore_failure: true` on the grok processor to skip failures on problematic documents, and add a `set` processor to flag unparsed fields.
  3. Use `POST _ingest/pipeline/_simulate` to test patterns on sample data and identify performance bottlenecks.

无效尝试

常见但无效的做法:

  1. 70% 失败

    Masks the problem but doesn't fix pattern inefficiency; can cause pipeline backpressure and node resource exhaustion.

  2. 90% 失败

    Loses parsing functionality, leading to unparsed raw data and downstream analysis issues.