Contents. Why You Should Read This Book by Tom Ramey... i About the Authors... v Introduction by Surekha Parekh... xv

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1 Contents Why You Should Read This Book by Tom Ramey... i About the Authors... v Introduction by Surekha Parekh... xv DB2 12 for z/os: Technical Overview and Highlights by John Campbell and Gareth Jones... 1 Introduction... 1 Why You Should Read This Paper... 1 Highlights... 1 Application Enablement... 2 DBA Function... 2 OLTP Performance... 2 Query Performance... 2 Quick Hits... 3 Performance for Traditional Workloads... 3 In-memory Computing... 3 INSERT Performance... 6 Access Path/Access Plan Stability More Granular Global Commit LSN and Read LSN Avoid Scheduling Unnecessary Prefetch Miscellaneous Performance Enhancements for Traditional Workloads System Scaling Enhancements DB2/DASD Synergy High-level Performance Expectations Instrumentation Enhancements Performance Enablers of Modern Applications Performance Focus: Enabling New Applications High-level Performance Focus Query Performance Focus Application Enablement DB2 for z/os Adapting to Modern Application Development Paradigms RAS Reliability, Availability, Scalability Lifting Partition Limits... 33

2 x DB2 12 for z/os The #1 Enterprise Database Online Schema Security and General Enhancements Utilities Data Sharing Improvements Migration and Prerequisites Migration Prerequisites: Hardware and Operating System Migration and the Catalog Online Migration Improvements Questions & Answers DB2 12 for z/os: What s the Latest from the Optimizer for Improved Query Performance? by Terry Purcell Introduction Why Read Further? What Is the Performance Focus in DB2 12 for z/os? Performance Expectations UNION ALL and Outer Join Performance Reorder Outer Join Tables to Avoid Materializations Push Predicates Inside UNION ALL Legs or Outer Join Query Blocks Trim Unnecessary Columns and Tables Push Down of ORDER BY and FETCH FIRST Summary of Targeted UNION ALL and Outer Join Performance Enhancements Runtime Optimizations Runtime Adaptive Index Internal Runtime and Complex Expression Optimization Sort, Workfile, and Sparse Index Improvements Partial Sort-Avoidance for FETCH FIRST Extensions to Sort Avoidance for OLAP Functions Sort Space Reductions and In-memory Exploitation Sparse Index Improvements Predicate Optimizations Sort for Stage 2 Join Expressions User-Defined Table Function Predicate Optimizations VARBINARY Indexability Improvements Row Permission Indexability for Correlated Subqueries... 81

3 Contents xi Optimizer Cost Model Enhancements Extending NPGTHRSH to Default Statistics List Prefetch and Hybrid Join Cost Improvements Improved Filter Factor for CURRENT DATE/TIMESTAMP Predicates Improved Resolution of Filter Factors at Bind/Prepare Utilizing Index Probing Improved Bind/Prepare Performance with a Large Number of Indexes RUNSTATS and Optimizer-generated Statistics Profiles Static and Dynamic Plan Stability Static Plan Stability Usability Improvements Dynamic Plan Stability Summary Build a DB2 12 for z/os Mobile Application Using IBM MobileFirst by Jane Man and Clement Leung Abstract Introduction Installation and Configuration Installation Configure JNDI for DB2 for z/os Introducing Scenario 1: Retrieve a string from a string ID from the SYSIBM.SYSXMLSTRINGS table using regular SQL statements Client-Side Development Server-Side Development Create an SQL Adapter Deploy and Test an Adapter Use the Result from the Server Side Create New Environments Build and Deploy Test Using MobileFirst Console Run Android Emulator (Optional) Introducing Scenario 2: Execute RUNSTATS for a particular database and table space by calling a stored procedure Summary Acknowledgments Resources

4 xii DB2 12 for z/os The #1 Enterprise Database IBM DB2 Analytics Accelerator: A Revolution in Performance by Namik Hrle, Ruiping Li, and Wolfgang Hengstler Executive Overview Introduction The Changing Role of Analytics Challenges with the Traditional Approach to Analytics Business Usage Scenarios for Improved Insight Rapid Acceleration of Business-Critical Queries Derive Business Insight from z/os Transaction Systems Reduce IT Sprawl for Analytics Initiatives DB2 Analytics Accelerator Key Design and Operational Features DB2 Analytics Accelerator Query Process and Features DB2 Analytics Accelerator Content Maintenance DB2 Analytics Accelerator Table Definition and Deployment High Performance Storage Saver Connectivity Options and Workload Balance Disaster Recovery DB2 Integration Query Acceleration Criteria Query Acceleration Control Knobs EXPLAIN Function Accelerator Modeling Accelerator-related Instrumentation Accelerator-only Tables In-database Transformation in the Accelerator In-database Analytics in the Accelerator DB2 Analytics Accelerator Administrative Stored Procedures DB2 Analytics Accelerator DB2 Command Performance Considerations PureData System for Analytics, powered by Netezza The PureData System for Analytics S-Blade, powered by IBM Netezza technology Applying Data Stream Processing to DB2 Queries Improved Disk Failover Drive Redistribution for S-Blade Failures Comparison of PureData System for Analytics Appliance Models

5 Contents xiii Summary For More Information Acknowledgments Making Data Simple and Accessible: The Role of Technology in Delivering Analytic Results Overview A Technology Revolution on z Systems Understanding User Roles and Data Use Cases Avoid Data Movement Integrate Multiple Data Types Run Analytics on Operational Data Summary For More Information Notes