Elasticsearch Error: Invalid msearch operation - Common Causes & Fixes

Pulse - Elasticsearch Operations Done Right

On this page

Brief Explanation Common Causes Troubleshooting and Resolution Steps Best Practices Frequently Asked Questions

Brief Explanation

The "Invalid msearch operation" error in Elasticsearch occurs when there's an issue with the format or content of a multi-search (msearch) request. This error indicates that the msearch operation couldn't be executed due to invalid input or formatting problems.

Common Causes

  1. Incorrect JSON formatting in the msearch request body
  2. Missing or malformed newline characters between search requests
  3. Invalid search operations within the msearch body
  4. Incompatible API versions between client and server
  5. Incorrect Content-Type header in the request

Troubleshooting and Resolution Steps

  1. Verify JSON formatting:

    • Ensure each line in the msearch request body is a valid JSON object
    • Check for missing commas, brackets, or other JSON syntax errors
  2. Check newline characters:

    • Confirm that each search request is separated by a newline character (\n)
    • Ensure there's a trailing newline at the end of the request body
  3. Validate search operations:

    • Review each individual search request within the msearch body
    • Confirm that all search parameters are valid and correctly formatted
  4. Check API compatibility:

    • Verify that your client library version is compatible with your Elasticsearch server version
    • Update client libraries or Elasticsearch as needed
  5. Verify Content-Type header:

    • Ensure the Content-Type header is set to "application/x-ndjson" for msearch requests
  6. Use Elasticsearch's _validate API:

    • Test individual search requests using the _validate endpoint to identify specific issues
  7. Review Elasticsearch logs:

    • Check Elasticsearch server logs for more detailed error messages or stack traces

Best Practices

  1. Use a JSON linter to validate the format of your msearch request body
  2. Implement error handling in your application to catch and log msearch errors
  3. Consider using the Elasticsearch client libraries for your programming language, as they often handle formatting and newline issues automatically
  4. Regularly update your Elasticsearch client libraries and server to ensure compatibility and access to the latest features and bug fixes

Frequently Asked Questions

Q: What is the difference between _msearch and _search in Elasticsearch?
A: _search is used for single search requests, while _msearch allows multiple search requests to be sent in a single HTTP request, improving performance for batch queries.

Q: How can I format an msearch request correctly?
A: Each msearch request should consist of alternating lines: a JSON object with the search metadata (or an empty object {}), followed by a JSON object containing the search request body. Each line should be separated by a newline character, including a trailing newline.

Q: Can I mix different types of searches in a single msearch request?
A: Yes, you can combine different types of searches (e.g., match, term, range) within a single msearch request, as long as each search is properly formatted.

Q: How does msearch affect performance compared to individual search requests?
A: msearch can significantly improve performance when executing multiple searches, as it reduces network overhead by sending multiple queries in a single HTTP request.

Q: Is there a limit to the number of searches I can include in an msearch request?
A: While there's no hard limit, it's recommended to keep the number of searches in an msearch request reasonable (e.g., less than 100) to avoid timeouts and manage memory usage effectively.

Subscribe to the Pulse Newsletter

Get early access to new Pulse features, insightful blogs & exclusive events , webinars, and workshops.