Elasticsearch RevisionMissingException: Revision missing - Common Causes & Fixes

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

Brief Explanation

The "RevisionMissingException: Revision missing" error in Elasticsearch occurs when the system attempts to perform an operation on a document, but the specified revision number is not found. This typically happens during update or delete operations when the provided version number doesn't match the current version of the document in the index.

Impact

This error can significantly impact the consistency and reliability of your Elasticsearch cluster. It may lead to:

  • Failed update or delete operations
  • Inconsistent data across nodes
  • Potential data loss if not handled properly

Common Causes

  1. Concurrent updates to the same document
  2. Stale version numbers in client applications
  3. Network issues causing delays in synchronization
  4. Improper handling of version numbers in multi-node clusters

Troubleshooting and Resolution

  1. Check the document version: Verify the current version of the document in the index.

    GET /your_index/_doc/your_document_id
    
  2. Use optimistic concurrency control: Include the if_seq_no and if_primary_term parameters in your update requests.

    POST /your_index/_update/your_document_id?if_seq_no=X&if_primary_term=Y
    {
      "doc": {
        "field": "new_value"
      }
    }
    
  3. Implement retry logic: Add a retry mechanism in your application to handle version conflicts.

  4. Use the retry_on_conflict parameter: For update operations, specify the number of retries.

    POST /your_index/_update/your_document_id?retry_on_conflict=3
    {
      "doc": {
        "field": "new_value"
      }
    }
    
  5. Ensure proper cluster health: Check for any node failures or network issues that might be causing synchronization problems.

    GET /_cluster/health
    

Best Practices

  1. Always use version control in your update and delete operations.
  2. Implement proper error handling and retry mechanisms in your application.
  3. Regularly monitor your cluster health and performance.
  4. Use the _bulk API for batch operations to improve efficiency and reduce the likelihood of conflicts.

Frequently Asked Questions

Q: Can I ignore the version check to avoid this error?
A: While it's possible to ignore version checks, it's not recommended as it can lead to data inconsistencies. Instead, implement proper version handling and retry mechanisms.

Q: How can I prevent this error in a high-concurrency environment?
A: Use optimistic concurrency control with if_seq_no and if_primary_term, implement retry logic, and consider using the retry_on_conflict parameter for update operations.

Q: Does this error occur only in multi-node clusters?
A: While more common in multi-node setups due to potential synchronization delays, it can also occur in single-node clusters, especially with concurrent operations.

Q: How does this error relate to the version field in Elasticsearch documents?
A: The version field is used for optimistic concurrency control. This error occurs when the provided version doesn't match the current document version, indicating a potential conflict.

Q: Can index aliases contribute to this error?
A: Index aliases themselves don't directly cause this error, but if misused in a way that leads to unexpected document updates or deletions, they could indirectly contribute to version conflicts.

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