Fix Database Performance Problems with Profiling

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This document discusses using profiling tools to identify and address database performance problems caused by slow SQL queries. It outlines a process of creating a profile to examine slow queries, tuning any inefficient SQL code, analyzing indexes, and testing rewritten queries for improved scalability. SQL profiling can help find issues like missing indexes, queries that run too long or are executed frequently, and opportunities to optimize SQL constructs and set logic for more efficient processing. The document recommends using a tool like IDERA DB Optimizer to automate the profiling, analysis, and tuning steps needed to overcome SQL challenges and fix database performance issues.

Technology

Fix Database
Performance Problems
with Profiling
June 27, 2017

Agenda
Any Missing Indexes
Identify Slow SQL
Optimize Slow SQL
Test Rewrite Scalability
3
1
2
4

Slow SQL Can Be Hard to Find
Many Incarnations
• Is it one query that runs long?
• Is it one query run a zillion times?
• Is it simply inefficient SQL code?
• Is it efficient SQL that needs to add
a new or missing index?
• Is it efficient SQL that needs a
different type of index?
• Is it a “Hot” Database Object?

SQL is More Complex Than You Think
Many Key Constructs
• Join
• Inner
• Outer
• Left
• Right
• Self
• Subquery (non-correlated)
• Correlated Subquery
• In Line View
• WITH Clause

SQL Requires Thinking in Sets
Many Set Constructs
• Union
• Union All
• Minus
• Intersect
• Except
• In / Not In
• Any / All
• Exists / Not Exists

Programmer Background
Comfort Zone (not sets)
• Record at a time processing
• FOR
• WHILE
• REPEAT / DO
• Conditional Logic
• IF THEN ELSE
• CASE / SWITCH
• Scalar Variables
• Arrays (N# Scalars)
• SQL Cursors

Tuning Job – Index Analysis
Remember that
line item was the
hottest object

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Fix Database Performance Problems with Profiling

1. Fix Database Performance Problems with Profiling June 27, 2017

2. Agenda Any Missing Indexes Identify Slow SQL Optimize Slow SQL Test Rewrite Scalability 3 1 2 4

3. Slow SQL Can Be Hard to Find Many Incarnations • Is it one query that runs long? • Is it one query run a zillion times? • Is it simply inefficient SQL code? • Is it efficient SQL that needs to add a new or missing index? • Is it efficient SQL that needs a different type of index? • Is it a “Hot” Database Object?

4. SQL is More Complex Than You Think Many Key Constructs • Join • Inner • Outer • Left • Right • Self • Subquery (non-correlated) • Correlated Subquery • In Line View • WITH Clause

5. SQL Requires Thinking in Sets Many Set Constructs • Union • Union All • Minus • Intersect • Except • In / Not In • Any / All • Exists / Not Exists

6. Programmer Background Comfort Zone (not sets) • Record at a time processing • FOR • WHILE • REPEAT / DO • Conditional Logic • IF THEN ELSE • CASE / SWITCH • Scalar Variables • Arrays (N# Scalars) • SQL Cursors

7. SQL Challenges Us

8. Tools To Overcome Challenges

9. IDERA DB Optimizer

10. Create Profile

11. Examine Profile Tune This

12. Tuning Job – Pick Options

13. Tuning Job – SQL Rewrites

14. Tuning Job – Compare SQL

15. Tuning Job – Index Analysis Remember that line item was the hottest object

16. SQL Load

17. Demo

18. Q&A