RUNTIME_FIELD_CONTEXT_MISMATCH elasticsearch type_error ai_generated true

ElasticsearchException: runtime field [my_field] cannot be used in context [query] because it is defined as [script] type

ID: elasticsearch/runtime-field-context-error

Also available as: JSON · Markdown · 中文
80%Fix Rate
82%Confidence
1Evidence
2024-02-10First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
Elasticsearch 7.16 active — — —
Elasticsearch 8.2 active — — —
Elasticsearch 8.11 active — — —

Root Cause

A runtime field with a `script` type is used in a context that expects a different type (e.g., `keyword` or `long`), causing a type mismatch.

generic

中文

运行时字段的`script`类型被用于期望其他类型（如`keyword`或`long`）的上下文，导致类型不匹配。

Official Documentation

https://www.elastic.co/guide/en/elasticsearch/reference/current/runtime-search-request.html

Workarounds

  1. 85% success Update the runtime field script to return the correct type: `PUT my_index/_mapping {"runtime": {"my_field": {"type": "keyword", "script": {"source": "emit(doc['source_field'].value.toString())"}}}}` 
    Update the runtime field script to return the correct type: `PUT my_index/_mapping {"runtime": {"my_field": {"type": "keyword", "script": {"source": "emit(doc['source_field'].value.toString())"}}}}`
  2. 80% success Use a painless script transformation in the query instead of a runtime field: `GET my_index/_search {"query": {"script_score": {"script": {"source": "doc['source_field'].value.length()"}}}}` 
    Use a painless script transformation in the query instead of a runtime field: `GET my_index/_search {"query": {"script_score": {"script": {"source": "doc['source_field'].value.length()"}}}}`

中文步骤

  1. 更新运行时字段脚本以返回正确类型：`PUT my_index/_mapping {"runtime": {"my_field": {"type": "keyword", "script": {"source": "emit(doc['source_field'].value.toString())"}}}}`
  2. 在查询中使用Painless脚本转换代替运行时字段：`GET my_index/_search {"query": {"script_score": {"script": {"source": "doc['source_field'].value.length()"}}}}`

Dead Ends

Common approaches that don't work:

  1. Changing the runtime field type to `keyword` without adjusting the script logic 75% fail

    The script may output incompatible values (e.g., numbers) for a keyword field, leading to further errors.

  2. Removing the runtime field and using a concrete mapping instead 60% fail

    This requires reindexing, which is disruptive and may not be feasible in production.

  3. Setting `ignore_malformed: true` on the index to bypass type errors 90% fail

    This only applies to concrete fields, not runtime fields, and will not resolve the context mismatch.