book

Oracle Database 12c Performance Tuning Recipes: A Problem-Solution Approach

Name: Oracle Database 12c Performance Tuning Recipes: A Problem-Solution Approach
ISBN: 9781430261872

by Sam R. Alapati, Darl Kuhn, Bill Padfield

December 2013

Intermediate to advanced

636 pages

17h 42m

English

Apress

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Title Page
Dedication
Contents at a Glance
Contents
About the Authors
About the Technical Reviewers
Acknowledgments
Introduction
Who This Book Is ForHow This Book Is StructuredDownloading the Code
CHAPTER 1: Optimizing Table Performance
1-1. Building a Database That Maximizes Performance1-2. Creating Tablespaces to Maximize Performance1-3. Matching Table Types to Business Requirements1-4. Choosing Table Features for Performance1-5. Selecting Data Types Appropriately1-6. Avoiding Extent Allocation Delays When Creating Tables1-7. Maximizing Data-Loading Speeds1-8. Efficiently Removing Table Data1-9. Displaying Automated Segment Advisor Advice1-10. Manually Generating Segment Advisor Advice1-11. Automatically E-mailing Segment Advisor Output1-12. Rebuilding Rows Spanning Multiple Blocks1-13. Detecting Row Chaining and Row Migration1-14. Differentiating Between Row Migration and Row Chaining1-15. Proactively Preventing Row Migration/Chaining1-16. Detecting Unused Space in a Table1-17. Tracing to Detect Space Below the High-Water Mark1-18. Using DBMS_SPACE to Detect Space Below the High-Water Mark1-19. Freeing Unused Table Space1-20. Compressing Data for Direct Path Loading1-21. Compressing Data for All DML1-22. Compressing Data at the Column Level
CHAPTER 2: Choosing and Optimizing Indexes
2-1. Understanding B-tree Indexes2-2. Deciding Which Columns to Index2-3. Creating a Primary Key Constraint and Index2-4. Ensuring Unique Column Values2-5. Indexing Foreign Key Columns2-6. Deciding When to Use a Concatenated Index2-7. Reducing Index Size Through Compression2-8. Implementing a Function-Based Index2-9. Indexing a Virtual Column2-10. Limiting Index Contention when Several Processes Insert in Parallel2-11. Toggling the Visibility of an Index to the Optimizer2-12. Creating a Bitmap Index in Support of a Star Schema2-13. Creating a Bitmap Join Index2-14. Creating an Index-Organized Table2-15. Monitoring Index Usage2-16. Maximizing Index Creation Speed2-17. Reclaiming Unused Index Space

CHAPTER 3: Optimizing Instance Memory
3-1. Automating Memory Management3-2. Managing Multiple Buffer Pools3-3. Setting Minimum Values for Memory3-4. Monitoring Memory Resizing Operations3-5. Optimizing Memory Usage3-6. Tuning PGA Memory Allocation3-7. Configuring the Server Query Cache3-8. Managing the Server Result Cache3-9. Caching SQL Query Results3-10. Caching Client Result Sets3-11. Caching PL/SQL Function Results3-12. Configuring the Oracle Database Smart Flash Cache3-13. Tuning the Redo Log Buffer3-14. Limiting PGA Memory Allocation
CHAPTER 4: Monitoring System Performance
4-1. Implementing Automatic Workload Repository (AWR)4-2. Modifying the Statistics Interval and Retention Periods4-3. Generating an AWR Report Manually4-4. Generating an AWR Report via Enterprise Manager4-5. Generating an AWR Report for a Single SQL Statement4-6. Creating a Statistical Baseline for Your Database4-7. Managing AWR Baselines via Enterprise Manager4-8. Managing AWR Statistics Repository4-9. Creating AWR Baselines Automatically4-10. Quickly Analyzing AWR Output4-11. Manually Getting Active Session Information4-12. Getting ASH Information from Enterprise Manager4-13. Getting ASH Information from the Data Dictionary
CHAPTER 5: Minimizing System Contention
5-1. Understanding Response Time5-2. Identifying SQL Statements with the Most Waits5-3. Analyzing Wait Events5-4. Understanding Wait Class Events5-5. Examining Session Waits5-6. Examining Wait Events by Class5-7. Resolving Buffer Busy Waits5-8. Resolving Log File Sync Waits5-9. Minimizing Read by Other Session Wait Events5-10. Reducing Direct Path Read Wait Events5-11. Minimizing Recovery Writer Waits5-12. Finding Out Who’s Holding a Blocking Lock5-13. Identifying Blocked and Blocking Sessions5-14. Dealing with a Blocking Lock5-15. Identifying a Locked Object5-16. Resolving enq: TM Lock Contention5-17. Identifying Recently Locked Sessions5-18. Analyzing Recent Wait Events in a Database5-19. Identifying Time Spent Waiting Because of Locking5-20. Minimizing Latch Contention
CHAPTER 6: Analyzing Operating System Performance
6-1. Detecting Disk Space Issues6-2. Identifying System Bottlenecks6-3. Determining Top System-Resource-Consuming Processes6-4. Detecting CPU Bottlenecks6-5. Identifying Processes Consuming CPU and Memory6-6. Determining I/O Bottlenecks6-7. Detecting Network-Intensive Processes6-8. Mapping a Resource-Intensive Process to a Database Process6-9. Terminating a Resource-Intensive Process
CHAPTER 7: Troubleshooting the Database
7-1. Determining the Optimal Undo Retention Period7-2. Finding What’s Consuming the Most Undo7-3. Resolving an ORA-01555 Error7-4. Monitoring Temporary Tablespace Usage7-5. Identifying Who Is Using the Temporary Tablespace7-6. Resolving the “Unable to Extend Temp Segment” Error7-7. Resolving Open Cursor Errors7-8. Resolving a Hung Database7-9. Invoking the Automatic Diagnostic Repository Command Interpreter7-10. Viewing an Alert Log from ADRCI7-11. Viewing Incidents with ADRCI7-12. Packaging Incidents for Oracle Support7-13. Running a Database Health Check7-14. Creating a SQL Test Case7-15. Generating an AWR Report7-16. Comparing Database Performance Between Two Periods7-17. Analyzing an AWR Report
CHAPTER 8: Creating Efficient SQL
8-1. Retrieving All Rows from a Table8-2. Retrieve a Subset of Rows from a Table8-3. Joining Tables with Corresponding Rows8-4. Joining Tables When Corresponding Rows May Be Missing8-5. Constructing Simple Subqueries8-6. Constructing Correlated Subqueries8-7. Comparing Two Tables to Find Missing Rows8-8. Comparing Two Tables to Find Matching Rows8-9. Combining Results from Similar SELECT Statements8-10. Searching for a Range of Values8-11. Handling Null Values8-12. Searching for Partial Column Values8-13. Re-using SQL Statements Within the Shared Pool8-14. Avoiding Accidental Full Table Scans8-15. Creating Efficient Temporary Views8-16. Avoiding the NOT Clause8-17. Controlling Transaction Sizes
CHAPTER 9: Manually Tuning SQL
9-1. Displaying an Execution Plan for a Query9-2. Customizing Execution Plan Output9-3. Graphically Displaying an Execution Plan9-4. Reading an Execution Plan9-5. Monitoring Long-Running SQL Statements9-6. Identifying Resource-Consuming SQL Statements That Are Currently Executing9-7. Seeing Execution Statistics for Currently Running SQL9-8. Monitoring Progress of a SQL Execution Plan9-9. Identifying Resource-Consuming SQL Statements That Have Executed in the PastComparing SQL Performance After a System Change
CHAPTER 10: Tracing SQL Execution
10-1. Preparing Your Environment10-2. Tracing a Specific SQL Statement10-3. Enabling Tracing in Your Own Session10-4. Finding the Trace Files10-5. Examining a Raw SQL Trace File10-6. Analyzing Oracle Trace Files10-7. Formatting Trace Files with TKPROF10-8. Analyzing TKPROF Output10-9. Analyzing Trace Files with Oracle Trace Analyzer10-10. Tracing a Parallel Query10-11. Tracing Specific Parallel Query Processes10-12. Tracing Parallel Queries in a RAC System10-13. Consolidating Multiple Trace Files10-14. Finding the Correct Session for Tracing10-15. Tracing a SQL Session10-16. Tracing a Session by Process ID10-17. Tracing Multiple Sessions10-18. Tracing an Instance or a Database10-19. Generating an Event 10046 Trace for a Session10-20. Generating an Event 10046 Trace for an Instance10-21. Setting a Trace in a Running Session10-22. Enabling Tracing in a Session After a Login10-23. Tracing the Optimizer’s Execution Path10-24. Generating Automatic Oracle Error Traces10-25. Tracing a Background Process10-26. Enabling Oracle Listener Tracing10-27. Setting Archive Tracing for Data Guard
CHAPTER 11: Automated SQL Tuning
11-1. Displaying Automatic SQL Tuning Job Details11-2. Displaying Automatic SQL Tuning Advisor Advice11-3. Generating a SQL Script to Implement Automatic Tuning Advice11-4. Modifying Automatic SQL Tuning Features11-5. Disabling and Enabling Automatic SQL Tuning11-6. Modifying Maintenance Window Attributes11-7. Creating a SQL Tuning Set Object11-8. Viewing Resource-Intensive SQL in the AWR11-9. Populating a SQL Tuning Set from High-Resource SQL in AWR11-10. Viewing Resource-Intensive SQL in Memory11-11. Populating a SQL Tuning Set from Resource-Consuming SQL in Memory11-12. Populating a SQL Tuning Set With All SQL in Memory11-13. Displaying the Contents of a SQL Tuning Set11-14. Selectively Deleting Statements from a SQL Tuning Set11-15. Transporting a SQL Tuning Set11-16. Creating a Tuning Task11-17. Running the SQL Tuning Advisor11-18. Generating SQL Tuning Advice from the Automatic Database Diagnostic Monitor
CHAPTER 12: Execution Plan Optimization and Consistency
BackgroundSeeing the Big Picture12-1. Creating and Accepting a SQL Profile12-2. Determining if a Query is Using a SQL Profile12-3. Automatically Accepting SQL Profiles12-4. Displaying SQL Profile Information12-5. Selectively Testing a SQL Profile12-6. Transporting a SQL Profile to a Different Database12-7. Disabling a SQL Profile12-8. Dropping a SQL Profile12-9. Creating a Plan Baseline for a SQL Statement in Memory12-10. Creating Plan Baselines for SQL Contained in SQL Tuning Set12-11. Automatically Adding Plan Baselines12-12. Altering a Plan Baseline12-13. Determining If Plan Baselines Exist12-14. Determining if a Query is Using a Plan Baseline12-15. Displaying Plan Baseline Execution Plans12-16. Manually Adding a New Execution Plan to Plan Baseline (Evolving)12-17. Toggling the Automatic Acceptance of New Low-Cost Execution Plans12-18. Disabling Plan Baselines12-19. Removing Plan Baseline Information12-20. Transporting Plan Baselines
CHAPTER 13: Configuring the Optimizer
13-1. Choosing an Optimizer Goal13-2. Enabling Automatic Statistics Gathering13-3. Setting Preferences for Statistics Collection13-4. Manually Generating Statistics13-5. Locking Statistics13-6. Handling Missing Statistics13-7. Exporting Statistics13-8. Restoring Previous Versions of Statistics13-9. Gathering System Statistics13-10. Validating New Statistics13-11. Forcing the Optimizer to Use an Index13-12. Enabling Query Optimizer Features13-13. Keeping the Database from Creating Histograms13-14. Improving Performance When Not Using Bind Variables13-15. Understanding Adaptive Cursor Sharing13-16. Creating Statistics on Expressions13-17. Creating Statistics for Related Columns13-18. Automatically Creating Column Groups13-19. Maintaining Statistics on Partitioned Tables13-20. Concurrent Statistics Collection for Large Tables13-21. Determining When Statistics Are Stale13-22. Previewing Statistics Gathering Targets
CHAPTER 14: Implementing Query Hints
14-1. Writing a Hint14-2. Changing the Access Path14-3. Changing the Join Order14-4. Changing the Join Method14-5. Changing the Optimizer Version14-6. Choosing Between a Fast Response and Overall Optimization14-7. Performing a Direct-Path Insert14-8. Placing Hints in Views14-9. Caching Query Results14-10. Directing a Distributed Query to a Specific Database14-11. Gathering Extended Query Execution Statistics14-12. Enabling Query Rewrite14-13. Improving Star Schema Query Performance
CHAPTER 15: Executing SQL in Parallel
15-1. Enabling Parallelism for a Specific Query15-2. Enabling Parallelism at Object Creation15-3. Enabling Parallelism for an Existing Object15-4. Implementing Parallel DML15-5. Creating Tables in Parallel15-6. Creating Indexes in Parallel15-7. Rebuilding Indexes in Parallel15-8. Moving Partitions in Parallel15-9. Splitting Partitions in Parallel15-10. Enabling Automatic Degree of Parallelism15-11. Examining Parallel Explain Plans15-12. Monitoring Parallel Operations15-13. Finding Bottlenecks in Parallel Processes15-14. Getting Detailed Information on Parallel Sessions
Index

Content preview from Oracle Database 12c Performance Tuning Recipes: A Problem-Solution Approach

To Dale, Shawn, and Keith, with love and affection.

—Sam Alapati

To Lisa, Heidi, and Brandi.

—Darl Kuhn

With love to Oyuna, Evan, and my family.

—Bill Padfield

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Oracle Database 12c Performance Tuning Recipes: A Problem-Solution Approach

by Sam R. Alapati, Darl Kuhn, Bill Padfield

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