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
93%Fix Rate
89%Confidence
1Evidence
2024-07-08First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 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.htmlWorkarounds
-
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. -
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
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.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:
-
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.
-
85% fail
Reindexing the document without the pipeline will bypass the error but does not apply the intended transformation.