Show HN: I made a tool to visualize MySQL EXPLAIN query plans
Developers face challenges with slow MySQL queries, interpreting EXPLAIN output, common issues like ignoring slow queries, specific query elements' meanings, problems with filesort, and MySQL's index utilization limitations. MySQL's EXPLAIN aids query optimization.
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The text discusses the challenges developers face when dealing with slow MySQL queries and the complexity of interpreting MySQL's EXPLAIN output. It highlights common issues like ignoring slow queries temporarily and opting to upgrade the database instead. The text also mentions specific query elements like ref = const, select_type = DERIVED, filtered = 21.00, and key_len = 3, questioning their meanings and impact on query performance. It touches on problems like using filesort or Using temporary and the frustration of MySQL not utilizing indexes effectively. Additionally, it references a bug related to subquery results mismatch and limitations in MySQL versions. The text emphasizes that MySQL's EXPLAIN command provides detailed query execution information for developers to optimize query performance but acknowledges its cryptic nature. It suggests that MySQL automatically applies optimizations to queries and developers use EXPLAIN to fine-tune query execution logic.
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