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Sql tuning guideline

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Sidney Chen
Sidney Chen

This document provides guidelines for tuning SQL statements to improve response time. It discusses reviewing table and column statistics, execution plans, and restructuring SQL statements and indexes. Specific techniques covered include gathering statistics, reviewing access paths like index scans and joins, and using SQL profiles to lock optimized plans.

Technology
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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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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
  • 15.
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  • 17.
  • 18.
  • 19.  
  • 20.
  • 21. Q&A