DB2 11 for z/OS Application Performance & Tuning

Introduction to Application Performance & Tuning

Listing common causes of application performance problems

Evaluating different approaches for detecting the problems

Describing possible solutions

Performance Analysis Tools

Understanding components of local response time (LRT)

Identifying touch random (TR), touch sequential (TS), and fetch (F) time costs

Utilizing VQUBE3 to estimate local response time (LRT)

Locating necessary time values in an accounting trace report

Drawing & interpreting a bubble chart

Towards Better Indexes

Understanding DB2 index structure and usage

Evaluating the cost of creating a new index or modifying an existing index

Designing the best possible index for a single table query

Describing prefetch operations and multi-index access

Multiplying Table Access

Identifying various join methods and join types

Predicting table join order

Designing the best indexes for joining tables

Optimizing correlated and non-correlated sub queries

Utilizing UNION, INTERSECT, and EXCEPT operations

Towards Better Tables

Evaluating clustering alternatives

Understanding basic rules of normalization

Considering conditions for denormalization

Defining materialized query tables

Learning to Live with the Optimizer

Describing the limitations related to dangerous predicates

Identifying situations when the optimizer needs help with filter factor estimates

Massive Batch

Detecting performance problems with massive batch jobs

Making batch jobs run faster

Locking Issues

Describing DB2 serialization

Understanding transaction locking

Avoiding locking problems in application design

Course Summary

Summarizing the topics covered in this course

IBM created the Db2 family of data management tools, which includes database servers. Although it was originally designed to serve the relational model, it has now been expanded to include object-relational functionality as well as non-relational structures like JSON and XML.

You can realize the benefits of using Db2 Multisystem in several ways:

Query performance can be improved by running in parallel (pieces of the query are run simultaneously on different systems).

The need for data replication decreases because all of the systems can access all of the data.

Much larger database files can be accommodated.

Applications are no longer concerned with the location of remote data.

When growth is needed, you can redistribute the file across more systems, and applications can run unchanged on the new systems

In October 2000, IBM released z/OS, a 64-bit operating system for mainframes using the z/Architecture architecture. [2] It is a descendant of OS/390, which was preceded by a series of MVS versions, and it is OS/390's successor. [NB 1] The z/OS operating system, like OS/390, integrates a variety of formerly distinct, related products, which are still optional. Because z/OS is built for backward compatibility, it incorporates many of the features of more recent operating systems while also keeping much of the older functionality that dates back to the 1960s and is still in use today.

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