MySQL CPU Performance Bottlenecks
Recent spikes in server CPU usage have been attributed to MySQL, as indicated by a 'top' command revealing a startling 160% utilization. While optimizing tables and implementing persistent connections are steps toward improving performance, they may also contribute to the issue.
Troubleshooting Steps:
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Disable Persistent Connections: Persistent connections often lead to performance degradation. Deactivate them for better results.
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Review MySQL User Permissions: Verify that only authorized users have remote access. This is crucial for both security and performance optimization.
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Enable Slow Query Logging: Identify and resolve long-running queries by activating MySQL's slow query log. This will highlight queries that may be locking key tables for extended periods.
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Examine Processlist: Use the 'SHOW PROCESSLIST' query during high CPU load to identify active or queued queries. This will provide insight into their content and execution status.
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Optimize Memory Allocation: Tune buffer sizes, table cache, query cache, and innodb_buffer_pool_size to optimize query performance and reduce CPU usage.
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Utilize Profilers: Use a profiling tool to monitor application queries, identify duplicate queries, and track execution times. These tools provide valuable insights for further optimization.
Additionally, refer to MySQL's documentation on 'How MySQL Uses Memory' and 'MySQL System Variables' for helpful information.
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