Courses DB2 DB2 for z/OS: Application Programming - Advanced Topics Training
Course #:WA2272

DB2 for z/OS: Application Programming - Advanced Topics Training

This course is designed for the experienced DB2 developer, focusing on advanced SQL statements and options. Additionally, the DB2 EXPLAIN facility is discussed as a tool to be used when choosing amongst competing SQL and design alternatives.

Objectives

On successful completion of this course attendees will be able to:

  • choose optimal SQL code
  • understand the DB2 optimizer and the use of EXPLAIN in determining access path and statement efficiency
  • understand the differences between views, nested table expressions, common table expressions, and temporary tables and select the best option for a specific task
  • understand the use of materialized query tables, clone tables and temporal tables and the SQL statements associated with them
  • describe the use of distinct data types, user-defined functions, and OLAP functions
  • understand how and when triggers may be used
  • explain the advanced programming possibilities when using the INSERT, UPDATE, DELETE and MERGE statements
  • explain the advanced programming possibilities when using the INSERT, UPDATE, DELETE and MERGE statements
  • understand the difference between, and use of, identity columns and sequences.

Audience

Experienced DB2 applications developers working with DB2 for z/OS.

Prerequisites

Attendance on the RSM course DB2 for z/OS Application Programming, or equivalent experience.

Duration

3 days

Outline of DB2 for z/OS: Application Programming - Advanced Topics Training

1. Predicates, Access Paths, & I/O Types

  • Predicates
  • Access paths - matching index scan
  • Access paths - non-matching index scan
  • Access paths - table or tablespace scan
  • Access paths - direct row access
  • Indexable and non-indexable predicates
  • Predicate processing
  • Stage 1 and Stage 2 predicates
  • Summary of predicate processing
  • Predicate evaluation sequence
  • Sequential prefetch
  • List prefetch
  • Index lookaside.

2. The DB2 Optimizer

  • Input to the Optimizer
  • Catalog statistics
  • Filter factors
  • Filter factor and clustering
  • Filter factor examples
  • Influencing the Optimizer
  • Influencing the Optimizer by manually adjusting statistics, modelling production values & using optimization hints'
  • Catalog statistics
  • RUNSTATS options
  • Statistics columns
  • RUNSTATS - examples.

3. DB2 EXPLAIN

  • EXPLAIN
  • PLAN_TABLE
  • PLAN_TABLE additions
  • DSN_STATEMNT_TABLE
  • DSN_FUNCTION_TABLE
  • EXPLAIN: basic access paths, multi-index access, nested queries examples.

4. Views & Temporary Tables

  • Views
  • Nested table expressions
  • Common table expressions
  • Recursive SQL
  • View options
  • Created temporary tables
  • Declared temporary tables
  • Table comparisons.

5. Materialized Query, Clone & Temporal Tables

  • Materialized query tables
  • maintaining data in MQTs
  • Using MQTs
  • Automatic Query Rewrite (AQR)
  • Clone tables
  • Using clone tables
  • Exchanging data
  • System period temporal tables
  • Application period temporal tables
  • Using temporal tables
  • FROM period specification.

6. Distinct Data Types & User-defined Functions

  • Distinct data types
  • Casting data
  • Sourced user defined function
  • External user defined function
  • User defined SQL functions
  • Table functions
  • Inline and non-inline scalar functions
  • Invoking functions
  • Identifying functions
  • Function resolution.

7. OLAP Processing

  • Ranking data
  • ROW_NUMBER
  • RANK
  • DENSE_RANK
  • Moving sums
  • Moving averages.

8. Triggers

  • Triggers
  • Trigger components
  • Trigger options
  • Trigger body statements
  • BEFORE, AFTER & IINSTEAD OF triggers
  • Trigger examples
  • Trigger performance.

9. Advanced INSERT, UPDATE, DELETE & MERGE Options

  • SELECT FROM INSERT/UPDATE/DELETE
  • INCLUDE with INSERT & UPDATE
  • Multi-row processing with INSERT & MERGE
  • Multi-row condition handling
  • GET DIAGNOSTICS
  • Statement information
  • Condition information.

10. Identity Columns & Sequences

  • Identity columns
  • Sequences
  • Changing attributes
  • Using identity columns & sequences in SQL statements.
We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.
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