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- >> MySQLTuner 1.3.0 - Major Hayden <major@mhtx.net>
- >> Bug reports, feature requests, and downloads at http://mysqltuner.com/
- >> Run with '--help' for additional options and output filtering
- [!!] Successfully authenticated with no password - SECURITY RISK!
- [OK] Currently running supported MySQL version 5.6.19-log
- [OK] Operating on 64-bit architecture
- -------- Storage Engine Statistics -------------------------------------------
- [--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM
- [--] Data in InnoDB tables: 338M (Tables: 199)
- [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 52)
- [!!] Total fragmented tables: 11
- -------- Performance Metrics -------------------------------------------------
- [--] Up for: 5s (13 q [2.600 qps], 9 conn, TX: 15K, RX: 1K)
- [--] Reads / Writes: 100% / 0%
- [--] Total buffers: 1.1G global + 24.6M per thread (10000 max threads)
- [!!] Maximum possible memory usage: 241.6G (771% of installed RAM)
- [OK] Slow queries: 0% (0/13)
- [OK] Highest usage of available connections: 0% (1/10000)
- [OK] Key buffer size / total MyISAM indexes: 512.0M/94.0K
- [!!] Query cache efficiency: 0.0% (0 cached / 5 selects)
- [OK] Query cache prunes per day: 0
- [OK] Temporary tables created on disk: 0% (0 on disk / 3 total)
- [OK] Thread cache hit rate: 88% (1 created / 9 connections)
- [OK] Table cache hit rate: 90% (63 open / 70 opened)
- [OK] Open file limit used: 0% (20/50K)
- [OK] Table locks acquired immediately: 100% (87 immediate / 87 locks)
- [OK] InnoDB buffer pool / data size: 512.0M/339.0M
- [OK] InnoDB log waits: 0
- -------- Recommendations -----------------------------------------------------
- General recommendations:
- Run OPTIMIZE TABLE to defragment tables for better performance
- MySQL started within last 24 hours - recommendations may be inaccurate
- Reduce your overall MySQL memory footprint for system stability
- Variables to adjust:
- *** MySQL's maximum memory usage is dangerously high ***
- *** Add RAM before increasing MySQL buffer variables ***
- query_cache_limit (> 1M, or use smaller result sets)
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