Oracle DB Performance Tuning Tips
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This document discusses Oracle performance tuning. It covers two types of Oracle tuning: instance tuning and SQL tuning. The document outlines SQL tuning steps such as identifying high load or low performing SQL statements, verifying execution plans, and implementing corrective actions. It provides tips for writing better SQL statements including selecting only required columns, using indexes appropriately, and avoiding implicit type conversions. Index types like B-tree, bitmap, and function-based indexes are also discussed.
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Oracle DB Performance Tuning Tips
- 1. Oracle Performance Tuning Presented By : G.A.Dilruk
- 2. Agenda Oracle Tuning Overview Two Types of Oracle Tuning SQL Tuning Overview SQL Tuning Steps Writing Better SQL Statements Using Indexes
- 3. Oracle Tuning Overview Effective data collection and analysis is essential for identifying and correcting performance problems. Low hardware will affect response time but wise versa is not true always. Increasing number of session pool will increase performance too.
- 4. Two Types of Oracle Tuning Instance Tuning SQL Tuning
- 5. SQL Tuning Overview The goals of SQL tuning involve verifying the best execution plan for any statements. Oracle support both automatic and manual tuning. Considering End User Response Time and Server Resource Usage.
- 6. SQL Tuning Overview If you INSERT into a table with three indexes, then it will be approximately 10 times slower than an INSERT into a table with no indexes. The worst type of view use is when a view references other views, and when they are joined in queries. If you want SQL to accomplish different things, then write various statements. Rewriting an inefficient SQL statement is easier than modifying it. Using triggers consumes system resources. If you use too many triggers, then you can find that performance is adversely affected.
- 7. SQL Tuning Steps Identifying high load or low performing SQL statements (Ref Ex01). Looking and Verifying oracle execution plan (Ref Ex02). Implementing corrective action. Repeating above steps.
- 8. How Oracle Plan SQL Execution Gather data statistics (oracle support both automatic and manual data gathering) (Ref Ex03). Query optimizer looking collected data and plan better execution.
- 9. Writing Better SQL Statements Get only required columns in the select statement. Use untransformed column values in WHERE clauses as much as possible. Beware of implicit type conversions. Combine Multiples Scans with CASE Statements. Use DML with RETURNING Clause. Modify All the Data Needed in Single SQL Statement.
- 10. Writing Better SQL Statements Using Indexes Do not build indexes unless necessary. Consider indexing keys that are used frequently in WHERE clauses. Consider indexing keys that are used frequently to join tables in SQL statements. Columns that are frequently update are bad for indexing. Columns that have long character strings are bad for indexing. Do not index keys that appear only in WHERE clauses with functions or operators.
- 11. Writing Better SQL Statements Index Types Oracle includes numerous data structures to improve the speed of Oracle SQL queries. B-Tree Indexes are the most popular common index type. Create composite indexes with correct column ordering. Use Bitmap Indexes for Performance. Use function-based index either in transformed columns or in an expression.
- 12. Q & A
- 13. Thanks