ES|QL metadata fields
Serverless Stack
ES|QL can access metadata fields.
To access these fields, use the METADATA directive with the FROM source command. For example:
FROM index METADATA _index, _id The following metadata fields are available in ES|QL:
| Metadata field | Type | Description |
|---|---|---|
_id | keyword | Unique document ID. |
_ignored | keyword | Names every field in a document that was ignored when the document was indexed. |
_index | keyword | Index name. |
_index_mode | keyword | Index mode. For example: standard, lookup, or logsdb. |
_score | float | Query relevance score (when enabled). Scores are updated when using full text search functions. |
_source | Special _source type | Original JSON document body passed at index time (or a reconstructed version if synthetic _source is enabled). |
_version | long | Document version number |
- Metadata fields are only available when the data source is an index
- The
_sourcetype is not supported by functions - Only the
FROMcommand supports theMETADATAdirective - Once enabled, metadata fields work like regular index fields
Once enabled, metadata fields are available to subsequent processing commands, just like other index fields:
FROM ul_logs, apps METADATA _index, _version | WHERE id IN (13, 14) AND _version == 1 | EVAL key = CONCAT(_index, "_", TO_STR(id)) | SORT id, _index | KEEP id, _index, _version, key | id:long | _index:keyword | _version:long | key:keyword |
|---|---|---|---|
| 13 | apps | 1 | apps_13 |
| 13 | ul_logs | 1 | ul_logs_13 |
| 14 | apps | 1 | apps_14 |
| 14 | ul_logs | 1 | ul_logs_14 |
Similar to index fields, once an aggregation is performed, a metadata field will no longer be accessible to subsequent commands, unless used as a grouping field:
FROM employees METADATA _index, _id | STATS max = MAX(emp_no) BY _index | max:integer | _index:keyword |
|---|---|
| 10100 | employees |
FROM products METADATA _score | WHERE MATCH(description, "wireless headphones") | SORT _score DESC | KEEP name, description, _score Tip
Refer to ES|QL for search for more information on relevance scoring and how to use _score in your queries.