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SQL Tuning Guideline ,[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Response Time ,[object Object]
Why? So Slow! ,[object Object],[object Object]
How to review sql ,[object Object],[object Object],[object Object],[object Object]
SQLT: Nice tool review top sql ,[object Object],[object Object],[object Object],[object Object],[object Object]
Table/Index stats ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Column statistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How to gather Table/Column statistics ,[object Object],[object Object],[object Object],[object Object]
Column Histogram
Review execution plan ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Nested Loop For small number of rows(< 1000 ), with a good driving condition between the two tables
Hash Function
Hash Join   For large data set(> 1000 ): The optimizer uses the smaller of two tables or data sources to build a hash table on the join key in memory
Access Path ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Profile ,[object Object]
normal usage of SQL Profile ,[object Object],[object Object]
advance usage: coe_xfr_sql_profile.sql ,[object Object],[object Object]
 
Output sql format ,[object Object],[object Object]
Q&A

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🐬 The future of MySQL is Postgres 🐘
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Sql tuning guideline

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  • 12. Nested Loop For small number of rows(< 1000 ), with a good driving condition between the two tables
  • 14. Hash Join For large data set(> 1000 ): The optimizer uses the smaller of two tables or data sources to build a hash table on the join key in memory
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  • 21. Q&A