Caching a table into memory. □ Using the new 11g Result Cache. Oracle Database 11g Release 2 Performance Tuning Tips & Techniques chps. Filled with real-world case studies and best practices, Oracle Database 11g Oracle Database 11g Release 2 Performance Tuning Tips & Techniques. Oracle performance tuning: a systematic approach. A mission critical Pioneers of systematic Oracle performance tuning such as Cary Millsap promoted this technique vigorously. . (caite.info). . http://www. caite.info
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Oracle Database Performance Tuning Guide, 11g Release 2 (). E . Oracle Database 11g Release 2 () New Features in Oracle Database . Oracle Database 11g R2 Performance Tuning Cookbook · Read more Oracle Database 10g Performance Tuning Tips & Techniques · Read more. Oracle Database 11g R2 Performance Tuning Cookbook. Read more Oracle Database 10g Performance Tuning Tips & Techniques · Read more.
Farah Talib Al-sudani. SQL Statement Parsing: Tuning Guide? I've been asked by the publishers to review "Oracle Database 11g Release 2: Bucket number Distinct values: January Customers 1.
This is the title of your first post. July 1, Featured Posts. February 6, Share on Facebook.
Share on Twitter. Follow Us. New York. Search By Tags. June May April March February January December November 4. July 1. June 1. May 1. This site was designed with the. Create your website today. Millions instructions per second 3. Hash Cost: Best join order: Plan Generator select e.
Join order: Practice 3: Index Scan Unique 5. Index Scan Index Join Full Table Scan 2.
Rowid Scan 3. Sample Table Scan 4. Index Scan Skip 9. Index Scan Range 6. Index Scan Full 7. Using Bitmap Indexes Index Scan Fast Full Indexes 8. Full Table Scans: B Specific to an application or cartridge 4. Overview Index storage techniques: The default and the most common — Normal — Function based: Index Scans Types of index scans: Index Range Scan: All rights reserved..
Index Skip Scan: ENAME not null. Using Indexes: Key Bitmap Index Access: Combining Bitmap Indexes: Customers 1.
Invisible Index: Overview Use index. Do not use index. Update table. Update index. Invisible Indexes: Consider parallelizing index creation.
Index the correct tables and columns. Specify the tablespace for each index. Limit the number of indexes for each table. Order index columns for performance. Drop indexes that are no longer required. Investigating Index Usage An index may not be used for one of many reasons: Practice 4: Overview This practice covers using different access paths for better optimization. When Are Clusters Useful?
Cluster Access Path: To eliminate duplicates JOIN: Buffer Sort Operator select ename. Join predicate Nonjoin predicate Join predicate Nonjoin predicate 4. Nested Loops Join: Cartesian Join select ename. Outer Joins An outer join also returns a row if no match is found. Semijoins Semijoins only look for the first match. What Is an Execution Plan? Where to Find Execution Plans? SQL is not executed — Disadvantage: Plan hash value: This is only a partial listing of the columns.
WHERE ht. SQL Monitoring: SQL Monitoring Report: Global Information Status: Interpreting an Execution Plan Transform it into a tree.
Execution Plan Interpretation: Session altered. Collapse using indentation and focus on operations consuming most resources. Practice 5: SUM s. Star Query: Queries referring to remote fact tables are not transformed. Queries containing antijoined tables are not transformed. Star Transformation: Queries referring to unmerged nonpartitioned views are not transformed. Star Transformation Plan: Use best plan containing a star transformation. The hinted table should not be considered as the fact table in the context of a star transformation.
The hinted table should be considered as the fact table in the context of a star transformation. Bitmap Join Indexes: Practice 6: Overview This practice covers using the star transformation technique to optimize your query. Number of distinct values. Favor alternative paths Small clustering factor: Favor the index range scan path C C C Block 3. Column value Distinct values: Frequency Histograms 10 buckets.
Height-Balanced Histograms 5 buckets. Bucket number Distinct values: Multicolumn Statistics: MODEL 7.
Expression Statistics: Gathering System Statistics: Statistic Preferences: Gather statistics right after object creation. Gather statistics as part of the batch operation. Objects that are volatile Objects modified in batch operations External tables. Determine the cascading effects on indexes.
Determine the degree of parallelism. Determine the correct sample sizes. Manual Statistics Collection: Determine if histograms should be used.
Managing Statistics Collection: Optimizer Dynamic Sampling: Practice 7: Regardless of the literal value. Forcing Cursor Sharing: Adaptive Cursor Sharing: Overview Adaptive cursor sharing: Architecture System observes statement for a while.
Views The following views provide information about adaptive cursor sharing usage: Practice 8: Optimizer Hints: Overview Optimizer hints: Specifying Hints Hints apply to the optimization of only one statement block: Optimizer Hint Syntax: Hint Categories There are hints for: Practice 9: Overview This practice covers using various hints to influence execution plans.
What Is a Service? Use Enterprise Manager to Trace Services Service Tracing: Session Level Tracing: The trcsess Utility: Overview Use the tkprof utility to format your SQL trace files: FETCH Output of the tkprof Command There are seven categories of trace statistics: Count CPU Elapsed Disk Query Current Rows Number of times the procedure was executed Number of seconds to process Total number of seconds to execute Number of physical blocks read Number of logical buffers read for consistent read Number of logical buffers read in current mode Number of rows processed by the fetch or execute Output of the tkprof Command The tkprof output also includes the following: Misses in library cache during parse: Practice SQL workload I can do it for you!
Comprehensive SQL tuning. Plan tuning SQL Profile. Add missing index.