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The MySQL Query Analyzer helps developers and DBAs improve application performance by monitoring query performance and accurately pinpointing SQL code that is causing a slow down. With the new clickable correlation graphs, problem queries can be filtered and analyzed by highlighting the timeframe of interest, which makes it even faster to identify SQL bottlenecks. This paper explores common use cases and challenges faced by MySQL developers and DBAs in tuning SQL code. It also introduces the MySQL Query Analyzer and explains how it can be used to optimize queries during development and then to monitor applications in production environments.
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