In Elasticsearch, you may already know that the _id field serves as the unique identifier for a document. By default, Elasticsearch does not support direct search operations on the _id field using wildcards or regular expressions. This is because the _id field is designed for exact matching to efficiently locate and retrieve documents.
However, if you need to perform pattern matching on the _id, two approaches can be used:
Method 1: Using Script Queries
You can achieve this with Elasticsearch's script query functionality. By leveraging the Painless scripting language, you can write a small script to match the _id during the query. The drawback is poor performance, as it requires iterating through all documents and executing the script during the query.
Example Query:
jsonGET /your_index/_search { "query": { "bool": { "filter": { "script": { "script": { "source": "doc['_id'].value.matches('your_regex_here')", "lang": "painless" } } } } } }
Replace 'your_regex_here' with the appropriate regular expression.
Method 2: Copy _id to Another Field
Since direct use of wildcards or regular expressions on the _id field results in inefficient performance, a more efficient strategy is to copy the _id value to another searchable field during indexing. This enables you to use standard query syntax on the new field, including wildcard and regular expression searches.
Indexing Setup Example:
jsonPUT /your_index { "mappings": { "properties": { "searchable_id": { "type": "keyword", "copy_to": "searchable_id" } } } }
Search Query Example:
jsonGET /your_index/_search { "query": { "regexp": { "searchable_id": ".*pattern.*" } } }
First, ensure the _id value is copied to the searchable_id field during indexing. Then, you can execute the regexp query to perform regular expression matching on searchable_id.
Summary
Although Elasticsearch itself does not support direct wildcard or regular expression queries on the _id field, similar functionality can be achieved through the methods above. The recommended approach is to copy _id to a new queryable field, as this is more performant.