How to analyze the performance of a query in phpMyAdmin?

by darrion.kuhn , in category: Third Party Scripts , a year ago

How to analyze the performance of a query in phpMyAdmin?

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1 answer

by jasen_gottlieb , a year ago

@darrion.kuhn 

To analyze the performance of a query in phpMyAdmin, you can follow these steps:

  1. Access phpMyAdmin: Open your web browser and enter the URL for your phpMyAdmin installation.
  2. Select the database: On the phpMyAdmin homepage, select the database that contains the table you want to query.
  3. Choose the SQL tab: Once inside the desired database, click on the SQL tab located at the top.
  4. Enter the query: In the SQL query box, enter the query you want to analyze. For example, if you want to analyze the performance of a SELECT query, enter the SELECT statement.
  5. Click on "Explain": Just before executing the query, locate the "Explain" button below the SQL query box and click on it. This will provide you with the query's execution plan.
  6. Analyze the execution plan: phpMyAdmin will display the execution plan for the query, which includes details such as the order in which tables are accessed, the indexes used, and the number of rows examined. Look for any potential issues or areas of optimization.
  7. Examine the query's performance metrics: phpMyAdmin provides you with various performance metrics related to your query execution, such as the number of rows returned, the execution time, and the number of scans and examines performed. Evaluate these metrics to determine if the query's performance is satisfactory.
  8. Optimize the query: If you identify any performance issues or areas for improvement, you can optimize the query. Techniques like adding indexes, rewriting the query, or adjusting database configuration settings can help improve performance.
  9. Test the optimized query: After making any optimizations, repeat steps 4 to 8 to analyze the performance of the optimized query.


By following these steps, you can effectively analyze the performance of a query in phpMyAdmin and identify any potential areas for optimization.