elasticsearch data_error ai_generated true

IngestProcessorException: pipeline [my_pipeline] failed at processor [set] with message [field [user.email] is required]

ID: elasticsearch/ingest-pipeline-processor-failure

Also available as: JSON · Markdown · 中文

84%Fix Rate

87%Confidence

1Evidence

2023-11-22First Seen

Version Compatibility

Version	Status	Introduced	Deprecated	Notes
7.10.0	active	—	—	—
7.17.0	active	—	—	—
8.0.0	active	—	—	—
8.11.0	active	—	—	—

Root Cause

An ingest pipeline processor requires a field that is missing in the incoming document, causing the pipeline to abort with a validation error.

generic

中文

摄取管道处理器需要文档中缺少的字段，导致管道因验证错误而中止。

Official Documentation

https://www.elastic.co/guide/en/elasticsearch/reference/current/ingest.html

Workarounds

88% success Modify the pipeline to use an `if` condition or `on_failure` handler to skip missing fields: PUT _ingest/pipeline/my_pipeline { "processors": [ { "set": { "field": "user.email", "value": "{{_ingest._source.user.email}}", "if": "ctx.user?.email != null" } } ] }
```
Modify the pipeline to use an `if` condition or `on_failure` handler to skip missing fields: PUT _ingest/pipeline/my_pipeline { "processors": [ { "set": { "field": "user.email", "value": "{{_ingest._source.user.email}}", "if": "ctx.user?.email != null" } } ] }
```
82% success Add a default value processor before the failing one to ensure the field exists: { "set": { "field": "user.email", "value": "[email protected]", "override": false } }
```
Add a default value processor before the failing one to ensure the field exists: { "set": { "field": "user.email", "value": "[email protected]", "override": false } }
```
85% success Use the `script` processor to conditionally set the field: { "script": { "source": "if (ctx.user == null) { ctx.user = [:]; } if (ctx.user.email == null) { ctx.user.email = '[email protected]'; }" } }
```
Use the `script` processor to conditionally set the field: { "script": { "source": "if (ctx.user == null) { ctx.user = [:]; } if (ctx.user.email == null) { ctx.user.email = '[email protected]'; }" } }
```

中文步骤

Modify the pipeline to use an `if` condition or `on_failure` handler to skip missing fields: PUT _ingest/pipeline/my_pipeline { "processors": [ { "set": { "field": "user.email", "value": "{{_ingest._source.user.email}}", "if": "ctx.user?.email != null" } } ] }

Add a default value processor before the failing one to ensure the field exists: { "set": { "field": "user.email", "value": "[email protected]", "override": false } }

Use the `script` processor to conditionally set the field: { "script": { "source": "if (ctx.user == null) { ctx.user = [:]; } if (ctx.user.email == null) { ctx.user.email = '[email protected]'; }" } }

Dead Ends

Common approaches that don't work:

70% fail
This removes all pipeline processing, which may break other data transformations or enrichments that are needed.
60% fail
This pollutes the data with meaningless values and may cause downstream issues in queries or aggregations.
90% fail
The error is by design; upgrading does not change the validation logic for required fields.