elasticsearch config_error ai_generated true

ElasticsearchParseException: Pipeline [my_pipeline] processor [set] requires field [field] but it is not defined in the processor configuration

ID: elasticsearch/missing-pipeline-processor-parameter

Also available as: JSON · Markdown · 中文
93%Fix Rate
89%Confidence
1Evidence
2024-07-08First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
7.17.0 active
8.4.0 active
8.15.0 active

Root Cause

An ingest pipeline processor is missing a required parameter (e.g., 'field' for set processor), causing the pipeline to fail validation when applied to a document.

generic

中文

一个摄取管道处理器缺少必需的参数(例如set处理器的'field'),导致管道在应用于文档时验证失败。

Official Documentation

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

Workarounds

  1. 95% success Update the pipeline to include the required parameter: PUT /_ingest/pipeline/my_pipeline { 'processors': [ { 'set': { 'field': 'target_field', 'value': 'default_value' } } ] }. Then retry the document ingestion.
    Update the pipeline to include the required parameter: PUT /_ingest/pipeline/my_pipeline { 'processors': [ { 'set': { 'field': 'target_field', 'value': 'default_value' } } ] }. Then retry the document ingestion.
  2. 90% success Use the simulate API to test the pipeline with a sample document before applying it: POST /_ingest/pipeline/my_pipeline/_simulate { 'docs': [ { '_source': { 'test': 'data' } } ] }. This helps identify missing parameters without affecting real data.
    Use the simulate API to test the pipeline with a sample document before applying it: POST /_ingest/pipeline/my_pipeline/_simulate { 'docs': [ { '_source': { 'test': 'data' } } ] }. This helps identify missing parameters without affecting real data.

中文步骤

  1. Update the pipeline to include the required parameter: PUT /_ingest/pipeline/my_pipeline { 'processors': [ { 'set': { 'field': 'target_field', 'value': 'default_value' } } ] }. Then retry the document ingestion.
  2. Use the simulate API to test the pipeline with a sample document before applying it: POST /_ingest/pipeline/my_pipeline/_simulate { 'docs': [ { '_source': { 'test': 'data' } } ] }. This helps identify missing parameters without affecting real data.

Dead Ends

Common approaches that don't work:

  1. 70% fail

    Adding a default value for the missing field in the index mapping does not fix the pipeline configuration; the pipeline itself must be updated.

  2. 85% fail

    Reindexing the document without the pipeline will bypass the error but does not apply the intended transformation.