Liu, Henry H.,

Oracle database performance and scalability : a quantitative approach / Henry H. Liu. - 1 PDF (500 pages). - Quantitative Software Engineering Series ; v.12 . - Quantitative Software Engineering Series ; v.12 .

PREFACE xxv -- Why This Book xxv -- Who This Book is For xxvi -- How This Book is Organized xxvii -- Software and Hardware xxviii -- How to Use This Book xxix -- How to Reach The Author xxxi -- ACKNOWLEDGMENTS xxxiii -- INTRODUCTION 1 -- Features of Oracle 2 -- Objectives 4 -- Conventions 5 -- Performance versus Scalability 6 -- PART 1 GETTING STARTED WITH ORACLE 7 -- 1 Basic Concepts 9 -- 1.1 Standard versus Flavored SQLS 10 -- 1.2 Relational versus Object-Oriented Databases 11 -- 1.3 An Instance versus a Database 11 -- 1.4 Summary 12 -- Recommended Reading 12 -- Exercises 12 -- 2 Installing Oracle Software 14 -- 2.1 Installing Oracle 11g Server Software 15 -- 2.2 Configuring a Listener 18 -- 2.3 Creating an Oracle Database 18 -- 2.4 Installing Oracle 11g Client Software 28 -- 2.5 Oracle Grid Control versus DB Control 31 -- 2.6 Summary 33 -- Recommended Reading 33 -- Exercises 33 -- 3 Options for Accessing an Oracle Server 34 -- 3.1 A Command Line Interface (CLI) versus a GUI-Based Console35 -- 3.2 The Oracle Enterprise Manager Java Console (OEMJC) 37 -- 3.3 Using the SQLPlus Tool 40 -- 3.4 Oracle Enterprise Manager DBConsole 42 -- 3.5 Other Tools for Developers 43 -- 3.6 Case Study: Creating ER Diagrams with Visio via ODBC 44 -- 3.7 Case Study: Accessing Oracle in Java via JDBC 47 -- 3.8 Summary 49 -- Recommended Reading 50 -- Exercises 50 -- 4 A Quick Tour of an Oracle Server 52 -- 4.1 New Oracle Schemas Beyond "Scott" 53 -- 4.2 Oracle Users versus Schemas 54 -- 4.3 Tablespaces, Segments, Extents, and Data Blocks 56 -- 4.4 Tables, Indexes and Index Types for Structured Data 57 -- 4.5 Domain and LOB Index Types for Unstructured Data 65 -- 4.6 Views, Materialized Views, and Synonyms 68 -- 4.7 Stored Procedures, Functions, and Triggers 68 -- 4.8 Referential Integrity with Foreign Keys 71 -- 4.9 Summary 73 -- Recommended Reading 73 -- Exercises 74 -- PART 2 ORACLE ARCHITECTURE FROM PERFORMANCE AND SCALABILITYPERSPECTIVES 75 -- 5 Understanding Oracle Architecture 79. 5.1 The Version History of Oracle 80 -- 5.2 Oracle Processes 82 -- 5.3 Oracle Memory Areas 87 -- 5.4 Dedicated versus Shared Oracle Server Architecture 89 -- 5.5 Performance Sensitive Initialization Parameters 91 -- 5.6 Oracle Static Data Dictionary Views 94 -- 5.7 Oracle Dynamic Performance (V 10.12 Case Study: A JDBC Example 152 -- 10.13 Summary 158 -- Recommended Reading 159 -- Exercises 159 -- 11 Anatomy of an Oracle Automatic Workload Repository (AWR)Report 161 -- 11.1 Importance of Performance Statistics 162 -- 11.2 AWR Report Header 165 -- 11.3 Report Summary 166 -- 11.3.1 Cache Sizes 166 -- 11.3.2 Load Profile 167 -- 11.3.3 Instance Efficiency Percentages (Target 100%) 169 -- 11.3.4 Shared Pool Statistics 170 -- 11.3.5 Top Five Timed Events 170 -- 11.4 Main Report 171 -- 11.5 Wait Events Statistics 172 -- 11.5.1 Time Model Statistics 173 -- 11.5.2 Wait Class 174 -- 11.5.3 Wait Events 174 -- 11.5.4 Background Wait Events 176 -- 11.5.5 Operating System Statistics 176 -- 11.5.6 Service Statistics 177 -- 11.5.7 Service Wait Class Stats 178 -- 11.6 SQL Statistics 178 -- 11.6.1 SQL ordered by Elapsed Time 179 -- 11.6.2 SQL ordered by CPU Time 180 -- 11.6.3 SQL ordered by Gets 180 -- 11.6.4 SQL ordered by Reads 181 -- 11.6.5 SQL ordered by Executions 182 -- 11.6.6 SQL ordered by Parse Calls 183 -- 11.6.7 SQL ordered by Sharable Memory 183 -- 11.6.8 SQL ordered by Version Count 183 -- 11.6.9 Complete List of SQL Text 184 -- 11.7 Instance Activity Statistics 185 -- 11.7.1 Instance Activity Stats 185 -- 11.7.2 Instance Activity Stats-Absolute Values 196 -- 11.7.3 Instance Activity Stats-Thread Activity 197 -- 11.8 IO Stats 197 -- 11.8.1 Tablespace IO Stats 198 -- 11.8.2 File IO Stats 198 -- 11.9 Buffer Pool Statistics 199 -- 11.10 Advisory Statistics 199 -- 11.10.1 Instance Recovery Stats 200 -- 11.10.2 Buffer Pool Advisory 200 -- 11.10.3 PGA Aggr Summary 201 -- 11.10.4 PGA Aggr Target Stats 202 -- 11.10.5 PGA Aggr Target Histogram 202 -- 11.10.6 PGA Memory Advisory 203 -- 11.10.7 Shared Pool Advisory 204 -- 11.10.8 SGA Target Advisory 204 -- 11.10.9 Streams Pool Advisory 205 -- 11.10.10 Java Pool Advisory 205 -- 11.11 Wait Statistics 206 -- 11.12 Undo Statistics 207 -- 11.13 Latch Statistics 208 -- 11.13.1 Latch Activity 208 -- 11.13.2 Latch Sleep Breakdown 213. 11.13.3 Latch Miss Sources 214 -- 11.13.4 Parent and Child Latch Statistics 215 -- 11.14 Segment Statistics 215 -- 11.14.1 Segments by Logical Reads 215 -- 11.14.2 Segments by Physical Reads 216 -- 11.14.3 Segments by Row Lock Waits 217 -- 11.14.4 Segments by ITLWaits 217 -- 11.14.5 Segments by Buffer Busy Waits 217 -- 11.15 Dictionary Cache Stats 218 -- 11.16 Library Cache Activity 219 -- 11.17 Memory Statistics 219 -- 11.17.1 Process Memory Summary 219 -- 11.17.2 SGA Memory Summary 220 -- 11.17.3 SGA Breakdown Difference 221 -- 11.18 Streams Statistics 222 -- 11.19 Resource Limit Stats 224 -- 11.20 init.ora Parameters 224 -- 11.21 Summary 225 -- Recommended Reading 225 -- Exercises 226 -- 12 Oracle Advanced Features and Options 227 -- 12.1 Oracle 8i New Features 227 -- 12.1.1 Java 228 -- 12.1.2 Oracle interMedia, Spatial, Time Series, andVisual ImageRetrieval 229 -- 12.1.3 Oracle Parallel Server 230 -- 12.1.4 Optimizer Plan Stability 230 -- 12.1.5 Locally Managed Tablespaces 230 -- 12.1.6 Online Index Creation and Rebuild 231 -- 12.1.7 Online Read-Only Tablespaces 231 -- 12.1.8 Temporary Tables 231 -- 12.1.9 Non-Blocking OCI (Oracle Call Interface) 231 -- 12.1.10 Function-Based Indexes 232 -- 12.1.11 Logical ROWIDs 232 -- 12.1.12 Enhanced Partitioning 232 -- 12.1.13 Connection Load Balancing 233 -- 12.1.14 Client Load Balancing 233 -- 12.1.15 Oracle Enterprise Manager 233 -- 12.2 Oracle 9i New Features 233 -- 12.2.1 Real Application Clusters (RAC) 234 -- 12.2.2 Data Guard 236 -- 12.2.3 Performance Tuning Intelligent Advisors 239 -- 12.2.4 Actual Operation-Level Query Statistics 239 -- 12.2.5 Dynamic Sampling of Optimizer Statistics 239 -- 12.2.6 Cloning Production Database with Oracle EnterpriseManager 240 -- 12.2.7 Renaming Columns and Constraints 241 -- 12.2.8 Dynamic Memory Pools 241 -- 12.2.9 Flashback Query 241 -- 12.2.10 List Partitioning 241 -- 12.3 Oracle 10g New Features 241 -- 12.3.1 Automatic Storage Management (ASM) 242 -- 12.3.2 Asynchronous Commit 244. 12.3.3 Database Replay 244 -- 12.3.4 Read Performance Statistics Directly from the SGA 245 -- 12.3.5 Automatic Workload Repository (AWR) 245 -- 12.3.6 Automatic Database Diagnostic Monitor (ADDM) 245 -- 12.3.7 Automatic Shared Memory Tuning 245 -- 12.3.8 Automatic Optimizer Statistics Gathering 245 -- 12.3.9 SQL Tuning Features 247 -- 12.3.10 Grid Computing 247 -- 12.4 Oracle 11g New Features 248 -- 12.4.1 Automatic Memory Management 249 -- 12.4.2 Intelligent Cursor Sharing 249 -- 12.4.3 Database Resident Connection Pool (DRCP) 249 -- 12.4.4 Server Result Cache 250 -- 12.4.5 Database Smart Flash Cache 251 -- 12.4.6 Database Replay SQL Performance Analyzer (SPA)Integration 252 -- 12.4.7 I/O Calibration 252 -- 12.4.8 Partitioning Enhancements 252 -- 12.4.9 SQL Plan Management 253 -- 12.4.10 Zero-Size Unusable Indexes and Index Partitions 254 -- 12.4.11 Invisible Indexes 254 -- 12.4.12 Virtual Columns 254 -- 12.5 Summary 255 -- Recommended Reading 255 -- Exercises 255 -- 13 Top 10 Oracle Performance and Scalability Features 257 -- 13.1 Real Application Clustering (RAC) 258 -- 13.2 Dedicated versus Shared Server Models 260 -- 13.3 Proven Transaction and Concurrency Models 260 -- 13.4 A Highly Efficient SQL Optimization Engine 261 -- 13.5 Efficient Parallel Processing with Modern Multi-Core CPUs261 -- 13.6 Partitioning 262 -- 13.7 An All-Encompassing, Powerful Performance, and ScalabilityTroubleshooting Tool-AWR 262 -- 13.8 The Most Comprehensive Set of Internal Performance Metrics263 -- 13.9 Database Resident Connection Pool 263 -- 13.10 In-Memory Database Cache (IMDB) 263 -- 13.11 Summary 263 -- Recommended Reading 264 -- Exercises 264 -- 14 Oracle-Based Application Performance and Scalability byDesign 266 -- 14.1 Rapid Development Methodologies 268 -- 14.2 Planning 269 -- 14.2.1 Vision 269 -- 14.2.2 Objectives 270 -- 14.2.3 ROI Analysis 270 -- 14.2.4 Feasibility Study 271 -- 14.2.5 Project Team Formation 271 -- 14.3 Requirements Gathering 272 -- 14.3.1 Use Cases 273. 14.3.2 User Views 274 -- 14.3.3 Business Processes, Entities, and Business Rules 274 -- 14.4 Conceptual Design via Data Modeling 275 -- 14.4.1 Entity-Relationship Diagramming 276 -- 14.4.2 The Information Engineering (IE) Format for ERDs 278 -- 14.4.3 UML Format for ERDs 279 -- 14.4.4 Relational Format for ERDs 279 -- 14.5 Logical Design via Normalization 280 -- 14.5.1 Operational Anomalies 281 -- 14.5.2 Review of Relation Theory 282 -- 14.5.3 Functional Dependencies and Lossless-Join Decompositions285 -- 14.5.4 First Normal Form (1NF): Avoiding Multi-Valued Columns287 -- 14.5.5 Second Normal Form (2NF): Eliminating PartialDependencies 288 -- 14.5.6 Third Normal Form (3NF): Eliminating TransitiveDependencies: 288 -- 14.5.7 Boyce-Codd Normal Form (BCNF): EliminatingKey-Non-Key Dependencies 289 -- 14.5.8 Fourth Normal Form (4NF): Trivializing or KeyingMulti-Valued Dependencies 290 -- 14.5.9 Fifth Normal Form (5NF): Trivializing or Keying JoinDependencies 292 -- 14.5.10 Which Level of Normalization to Settle Down? 294 -- 14.5.11 Denormalization? 294 -- 14.6 Physical Design 295 -- 14.6.1 Naming Conventions 297 -- 14.6.2 Creating Tablespaces 298 -- 14.6.3 Creating a Schema User with Proper Privileges 299 -- 14.6.4 Creating Application Schema Objects 299 -- 14.6.5 Changing Schema Objects 308 -- 14.6.6 Enforcing Business Rules and Data Integrity 309 -- 14.6.7 Adding Views 312 -- 14.6.8 Creating Sequences and Synonyms 312 -- 14.6.9 Adding Indexes 313 -- 14.6.10 Security 314 -- 14.7 Implementation 315 -- 14.7.1 Choosing an Effective and Efficient Coding Path 315 -- 14.7.2 Leveraging Proven Oracle Database Design Principles316 -- 14.7.3 Leveraging Proven Application Design Patterns 318 -- 14.7.4 Enforcing with an Effective and Efficient Testing Process319 -- 14.8 Release To Market (RTM) 322 -- 14.9 Continuous Improvements 322 -- 14.10 Summary 323 -- Recommended Reading 324 -- Exercises 325 -- 15 Project: Soba-A Secure Online Banking Application onOracle 326 -- 15.1 Getting SOBA Up and Running 328. 15.1.1 Prerequisite Software 328 -- 15.1.2 Initial Software Stack Setup 329 -- 15.1.3 Creating SOBA Database on Oracle 330 -- 15.1.4 Installing SOBA on Eclipse IDE 330 -- 15.1.5 Configuring SOBA to Work with Oracle 331 -- 15.1.6 Configuring SOBA to Work with Hibernate 333 -- 15.1.7 Building SOBA and Deploying SOBA with Ant to Run onTomcat 333 -- 15.2 Overview of Spring Framework 333 -- 15.2.1 Background 333 -- 15.2.2 Spring for Building Flexible Applications Faster 334 -- 15.2.3 Spring Inversion of Control (IoC) and DependencyInjection 335 -- 15.2.4 Features of Spring 3.0 336 -- 15.3 MVC Architecture 337 -- 15.3.1 MVC Architecture in General 338 -- 15.3.2 Spring MVC in Action with SOBA 340 -- 15.4 Spring MVC Framework Applied to SOBA 342 -- 15.4.1 Spring DispatcherServlet and WebApplicationContext343 -- 15.4.2 Logic Flow of SOBA Defined in Spring MVC Framework347 -- 15.4.3 AWeb Entry Point Defined in a Spring MVC Web Form 348 -- 15.4.4 Handler Mapping 350 -- 15.4.5 Implementing Spring Controllers 353 -- 15.4.6 A Typical View Defined in a Spring MVC Web Form 358 -- 15.4.7 A Typical Form Success Controller and its Resultant View362 -- 15.4.8 POJOs Referenced in the CreateCustomerFormController364 -- 15.5 Hibernate Object-Relational Mapping (ORM) Applied to SOBA368 -- 15.5.1 Benefits of Using Hibernate 369 -- 15.5.2 Metadata Mapping with Hibernate 370 -- 15.5.3 Configuring Hibernate to Work with Oracle 371 -- 15.5.4 Hibernate DAO 373 -- 15.6 RESTful Web Services Applied to SOBA 376 -- 15.6.1 Introduction to RESTful Web Services 376 -- 15.6.2 RESTful Constraints 377 -- 15.6.3 RESTful Interface Design Principles 378 -- 15.6.4 Spring's Support for RESTful Web Services 379 -- 15.6.5 Server Code 380 -- 15.6.6 Client Code 383 -- 15.7 Spring Security Applied to SOBA 386 -- 15.7.1 Basic Concepts 387 -- 15.7.2 Security Configured in web.xml 387 -- 15.7.3 Security Configured in soba-security.xml 388 -- 15.7.4 Implementing Spring Security in Views 394 -- 15.8 Spring ACL Applied to SOBA 394. 15.8.1 Creating ACL Tables in Oracle 395 -- 15.8.2 Configuring Spring ACL 395 -- 15.8.3 Maintaining ACLs for SOBA Domain Objects 398 -- 15.8.4 Applying ACLs to Business Operations 404 -- 15.8.5 Testing ACLs with SOBA 406 -- 15.9 Summary 413 -- Recommended Reading 414 -- Exercises 414 -- PART 3 OPTIMIZING ORACLE PERFORMANCE AND SCALABILITY 415 -- 16 Logistics of the Oracle Cost-Based Optimizer (CBO) 417 -- 16.1 Life of a SQL Statement in Oracle 418 -- 16.2 Oracle SQL Optimizer: Rule-Based versus Cost-Based 420 -- 16.3 CBO Statistics 421 -- 16.4 Pivot Role of Gathering Database Statistics to CBO 422 -- 16.5 Methods of Gathering CBO Statistics 424 -- 16.6 Locking and Unlocking CBO Statistics 425 -- 16.7 Explain Plan-A Handle to CBO 425 -- 16.8 Data Access Methods-CBO's Footprints 426 -- 16.9 Looking Up CBO's Plan Hidden in V 19.3 Data Recovery Advisor 462 -- 19.4 Memory Advisors 462 -- 19.5 MTTR Advisor 466 -- 19.6 Segment Advisor 466 -- 19.7 SQL Advisors 467 -- 19.8 SQL Performance Analyzer 469 -- 19.9 Summary 470 -- Recommended Reading 471 -- Exercises 471 -- PART 4 CASE STUDIES: ORACLE MEETING REAL WORLD PERFORMANCE ANDSCALABILITY CHALLENGES 473 -- 20 Case Study: Achieving High Throughput with Array Processing477 -- 20.1 Context 478 -- 20.2 Performance Model 479 -- 20.3 Tests 480 -- 20.4 Solution 480 -- 20.5 Effects of Array Processing 482 -- 20.6 Summary 484 -- Recommended Reading 484 -- Exercises 484 -- 21 Case Study: Performance Comparison of Heap-Organized versusIndex-Organized Tables 485 -- 21.1 Context 486 -- 21.2 Conversion from Heap-Organized to Index-Organized 487 -- 21.3 Creating Indexes 487 -- 21.4 Creating Constraints 488 -- 21.5 EXPLAIN PLANs 488 -- 21.6 Oracle SQL Traces 489 -- 21.7 Summary 490 -- Recommended Reading 491 -- Exercises 491 -- 22 Case Study: SQL Tuning: "IN" versus "OR" versus GlobalTemporary Table 492 -- 22.1 Context 493 -- 22.2 Test Program 494 -- 22.3 Observation 1: IN_CreateStatement is the Best Performer495 -- 22.4 Observation 2: Batch Insert Saves Time 497 -- 22.5 Temptable Performed Better without an Index Hint than withan Index Hint 498 -- 22.6 Effects of APPEND Hint for Populating Temptable 499 -- 22.7 Effects of Number of Iterations 499 -- 22.8 OR and IN without the Index Hint 499 -- 22.9 Limitation on the Number of Literal Values and the Size ofOR Statement 501 -- 22.10 Dealing with More Than 1000 Literal Values for an IN BasedSQL Query 501 -- 22.11 A Recommendation for Dealing with 1000 Literal Value Limitin an IN Statement 501 -- 22.12 Summary 502 -- Recommended Reading 503 -- Exercises 503 -- 23 Case Study: Data Access Paths (Double Buffering) 504 -- 23.1 Data Access Paths in General 505 -- 23.1.1 Data Buffering 507 -- 23.1.2 Inode Locking 509 -- 23.1.3 Write-Sync Daemon 510 -- 23.2 Test Environments 511 -- 23.2.1 Solaris on Veritas 511 -- 23.2.2 Solaris on UFS 511. 23.2.3 Windows on NTFS 512 -- 23.3 Test Results with Solaris on Veritas 514 -- 23.3.1 Test Run #1-145 ms Average Read Time 514 -- 23.3.2 Test Run #2-401 ms Average Read Time 516 -- 23.3.3 Test Run #3-261 ms Average Read Time 518 -- 23.3.4 Test Run #4-0.98 ms Average Read Time 519 -- 23.3.5 Analysis 521 -- 23.4 Test Results with Solaris on UFS 522 -- 23.4.1 Test Run #1-447 ms Average Read Time 522 -- 23.4.2 Test Run #2-10ms Average Read Time 524 -- 23.4.3 Analysis 525 -- 23.5 Test Results with Windows on NTFS 526 -- 23.5.1 Test Run-8 ms Average Read Time 526 -- 23.5.2 Analysis 528 -- 23.6 Moral of the Case Study 528 -- Recommended Reading 529 -- Exercises 530 -- 24 Case Study: Covering Index 531 -- 24.1 Getting to Know the Application Architecture 533 -- 24.2 Quantifying the Problems 533 -- 24.3 Analyzing Bottlenecks 533 -- 24.4 Applying Optimizations/Tunings 535 -- 24.5 Verifying the Fixes 535 -- 24.5.1 Report Summary 537 -- 24.5.2 Wait Events Statistics 538 -- 24.5.3 SQL Statistics 541 -- 24.5.4 IO Stats 544 -- 24.5.5 Buffer Pool Statistics 544 -- 24.5.6 Wait Statistics 544 -- 24.5.7 init.ora Parameters 545 -- 24.6 Moral of the Case Study 545 -- Recommended Reading 546 -- Exercises 546 -- 25 Case Study: CURSOR_SHARING 547 -- 25.1 The Concept of a Bind Variable 548 -- 25.2 Oracle CURSOR_SHARING Parameter 549 -- 25.3 Getting to Know the Application Architecture 550 -- 25.4 Quantifying Problems 550 -- 25.5 Analyzing Bottlenecks 551 -- 25.5.1 Report Summary 552 -- 25.5.2 SQL Statistics 556 -- 25.5.3 IO Stats 557 -- 25.5.4 Wait Statistics 558 -- 25.5.5 init.ora Parameters 558 -- 25.6 Applying Tuning: CURSOR_SHARING = FORCE 560 -- 25.6.1 Report Summary 561 -- 25.6.2 Wait Events Statistics 563 -- 25.7 Applying Tuning: CURSOR_SHARING = SIMILAR 564 -- 25.7.1 Report Summary 564 -- 25.7.2 Wait Events Statistics 566 -- 25.8 Moral of the Case Study 569 -- Recommended Reading 569 -- Exercises 570 -- 26 Case Study: Bulk Transactions 571 -- 26.1 Application Architecture 572 -- 26.2 Quantifying Problems 572. 26.3 Identifying Performance and Scalability OptimizationOpportunities 573 -- 26.3.1 Report Summary 573 -- 26.3.2 Wait Events Statistics 575 -- 26.3.3 SQL Statistics 577 -- 26.3.4 Wait Statistics 579 -- 26.4 Effects of Bulk Transactions on Performance 581 -- 26.4.1 Report Summary 581 -- 26.4.2 Wait Events Statistics 583 -- 26.4.3 SQL Statistics 585 -- 26.4.4 Wait Statistics 587 -- 26.5 Moral of the Case Study 592 -- Recommended Reading 593 -- Exercises 593 -- 27 Case Study: Missing Statistics 594 -- 27.1 Decaying Performance due to Missing Statistics 595 -- 27.2 First Run with no Statistics 597 -- 27.2.1 Report Summary 598 -- 27.2.2 Wait Events Statistics 599 -- 27.2.3 SQL Statistics 601 -- 27.2.4 IO Stats 602 -- 27.2.5 Wait Statistics 602 -- 27.2.6 init.ora Parameters 603 -- 27.3 Second Run with Missing Statistics 604 -- 27.3.1 Report Summary 605 -- 27.3.2 Wait Events Statistics 606 -- 27.3.3 SQL Statistics 607 -- 27.3.4 IO Stats 609 -- 27.3.5 Wait Statistics 609 -- 27.4 Third Run with Updated Statistics 611 -- 27.4.1 Report Summary 611 -- 27.4.2 Wait Events Statistics 613 -- 27.4.3 Operating System Statistics 614 -- 27.4.4 SQL Statistics 614 -- 27.4.5 Wait Statistics 616 -- 27.5 Moral of the Case Study 618 -- Recommended Reading 618 -- Exercises 618 -- 28 Case Study: Misconfigured SAN Storage 620 -- 28.1 Architecture of the Apple's Xserve RAID 621 -- 28.2 Problem Analysis 622 -- 28.2.1 Report Summary 622 -- 28.2.2 Wait Events Statistics 624 -- 28.2.3 IO Stats 625 -- 28.2.4 init.ora Parameters 625 -- 28.3 Reconfiguring the RAID and Verifying 626 -- 28.3.1 Report Summary 626 -- 28.3.2 Wait Events Statistics 628 -- 28.3.3 IO Stats 629 -- 28.4 Moral of the Case Study 629 -- Recommended Reading 630 -- Exercises 630 -- APPENDIX A ORACLE PRODUCT DOCUMENTATIONS 633 -- A.1 Oracle Database Concepts 633 -- A.2 Oracle Database Administrator's Guide 633 -- A.3 Oracle Database Reference 634 -- A.4 Oracle Database Performance Tuning Guide 634 -- A.5 Oracle Database 2 Day A.6 Oracle Database 2 Day DBA 634 -- A.7 Oracle Database SQL Language Reference 634 -- A.8 Oracle Database Sample Schemas 635 -- A.9 Oracle Database PL/SQL Packages and Types Reference 635 -- A.10 Oracle Database PL/SQL Language Reference 635 -- A.11 Oracle Database JDBC Developer's Guide and References635 -- APPENDIX B USING SQLPLUS WITH ORACLE 636 -- B.1 Installation 636 -- B.2 SQLPlus and tnsnames.ora File 637 -- B.3 Basics of SQLPlus 638 -- B.4 Common SQLPlus Commands 638 -- B.5 Using SQLPlus to Execute SQL Statements 639 -- B.6 Using SQLPlus to Execute PL/SQL Blocks 640 -- B.7 Using SQLPlus Autotrace to Obtain EXECUTION PLANs andOptimizer Statistics 640 -- B.8 Using SQLPlus Timing Command 641 -- B.9 Exporting/Importing Oracle Databases with SQLPlus 642 -- B.10 Creating AWR Reports with SQLPlus 643 -- B.11 Checking Tablespace Usage with SQLPlus 644 -- B.12 Creating EM DBConsole with SQLPlus 646 -- APPENDIX C A COMPLETE LIST OF ALL WAIT EVENTS IN ORACLE 11g648 -- APPENDIX D A COMPLETE LIST OF ALL METRICS WITH THE V

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A data-driven, fact-based, quantitative text on Oracle performance and scalability With database concepts and theories clearly explained in Oracle's context, readers quickly learn how to fully leverage Oracle's performance and scalability capabilities at every stage of designing and developing an Oracle-based enterprise application. The book is based on the author's more than ten years of experience working with Oracle, and is filled with dependable, tested, and proven performance optimization techniques. Oracle Database Performance and Scalability is divided into four parts that enable reader




Mode of access: World Wide Web

9781118135532

10.1002/9781118135532 doi


Oracle (Computer file)


Database management.


Electronic books.

QA76.9.D3 / L5945 2011eb

005.75/65