Update by Query is necessary when you need to modify multiple documents in Elasticsearch that match a specific query, without having to reindex the entire dataset. This operation is particularly useful for:
- Updating field values across many documents
- Adding new fields to existing documents
- Applying a script to modify document contents
- Updating documents after mapping changes
Steps to Perform Update by Query
Prepare the Update Query: Construct a query that matches the documents you want to update.
Define the Update Script: Create a script that specifies the changes to be applied to the matching documents.
Execute the Update by Query: Use the Update by Query API to apply the changes.
POST /your_index/_update_by_query { "query": { "match": { "field_name": "value_to_match" } }, "script": { "source": "ctx._source.field_to_update = 'new_value'" } }
Monitor the Progress: For large updates, use the Task API to track the progress of the operation.
Verify the Results: After the update is complete, query the index to confirm the changes have been applied correctly.
Best Practices and Additional Information
- Use the
conflicts
parameter to control how version conflicts are handled. - Set
wait_for_completion=false
for large updates to run the operation asynchronously. - Consider using slicing to parallelize large update operations.
- Be cautious with update scripts that significantly change document sizes, as this can impact index performance.
- Always test update operations on a small subset or a test index before applying to production data.
Frequently Asked Questions
Q: Can I use Update by Query to modify the mapping of an index?
A: No, Update by Query cannot modify the mapping. It can only update document contents within the existing mapping structure. For mapping changes, you need to reindex the data.
Q: How can I limit the number of documents updated in a single operation?
A: You can use the size
parameter in your Update by Query request to limit the number of documents processed. For example, "size": 1000
will process only 1000 documents.
Q: Is it possible to perform Update by Query across multiple indices?
A: Yes, you can specify multiple indices in the API call, or use index patterns like my-index-*
to update documents across multiple indices.
Q: What happens if an error occurs during the Update by Query operation?
A: By default, the operation will abort on the first error. You can use the conflicts=proceed
parameter to continue processing despite version conflicts or other errors.
Q: Can I use Update by Query to delete documents?
A: While Update by Query is primarily for updating documents, you can use it to effectively delete documents by setting a condition in your script that calls ctx.op = 'delete'
for documents that should be removed.