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Large data volume paging optimization
Chapter1 mysql performance optimization tutorial
1-1 Big ideas for MySQL optimization
1-2 A simple introduction to awk
1-3 Observe periodic server changes
1-4 Observe mysql process status
1-5 Column selection principles
1-6 Effective rules for multi-column indexes
1-7 Multi-column index experiment
1-8 Mall multi-column index experiment
1-9 Clustered index concept
1-10 Efficiency of clustered index random primary key values
1-11 index coverage
1-12 Case study on slow sorting of a certain clustered index
1-13 Index length and resolution
1-14 Pseudo hash function reduces index length
1-15 Large data volume paging optimization
1-16 Indexing and sorting
1-17 Redundant indexes and duplicate indexes
1-18 Index fragmentation repair
1-19 explain analysis sql effect
1-20 in type subquery trap
1-21 Is exists necessarily slower than subquery?
1-22 max min unconventional optimization techniques
1-23 count optimization tips
1-24 Clever use of variables to reduce queries
1-25 MySQL master-slave cluster configuration
1-26 The difference between binlog-format
1-27 master-master replication
1-28 Primary key conflict resolution
1-29 Passive-master replication
1-30 mysql-proxy completes load balancing and separation of reading and writing
1-31 partition partition
1-32 Business explanation
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Boolean Education Yan Shiba MySQL Optimization Video Tutorial Note Materials
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