This section details the fix for the issue-1 in the repository project-a under the community namespace.

  • Fix Description: The issue was related to the response time of the API endpoint /users/login. The fix involved optimizing the database query and implementing caching.

  • Steps Taken:

    1. Analyzed the database query and identified the bottleneck.
    2. Implemented a caching mechanism for the frequently accessed data.
    3. Conducted thorough testing to ensure the fix was effective and stable.

  • Code Changes:

    • Updated the User model to include caching.
    • Modified the login endpoint to utilize the cache.

  • Testing:

    • Performed unit tests to validate the changes.
    • Conducted integration tests to ensure the system works as expected.

For more information on our testing methodology, please refer to our Testing Documentation.

Optimized Database Query

  • Impact:
    • The fix improved the response time of the API endpoint by 50%.
    • Reduced the load on the database server.

If you have any further questions or concerns, please reach out to the support team.