2 Collect and analyze metrics

The next step in resolving performance issues with your DB2 database is to collect and analyze metrics that can help measure and monitor the performance. This can be done by using the DB2 Performance Monitor (PM) tool, which allows you to capture and store performance data for specific events, such as statements, transactions, tables, buffer pools, and locks. The db2pd command can display real-time information about the status and activity of your database components. Additionally, the db2top command provides a graphical interface that shows the performance statistics and metrics of your database in a dynamic and interactive way. Collecting and analyzing these metrics will help you determine the cause of any performance issues and take corrective action.

3 Apply tuning techniques

The third step in resolving performance issues with your DB2 database is to apply tuning techniques. This can be done using the DB2 Configuration Advisor (CA), a tool that allows you to configure and tune your database parameters based on your workload and system resources. The CA can generate and apply recommendations for optimal settings of your database configuration parameters, such as memory allocation, logging, and parallelism. It can also evaluate and compare the impact of different configuration scenarios on your database performance, such as adding or removing CPUs, changing buffer pool sizes, or enabling or disabling compression. Additionally, you can adjust and fine-tune your configuration parameters manually or automatically based on your performance objectives and feedback.

4 Optimize your queries

The fourth step in resolving performance issues with your DB2 database is to optimize your queries that access and manipulate your data. This can be done by using the DB2 Explain Facility (EF), a tool that allows you to analyze and improve the execution plans of your queries. The EF can generate and view explain plans to show the steps and costs of executing your queries, such as access methods, join methods, sort methods, and filter methods. It can also identify and eliminate potential performance problems with your queries, such as suboptimal indexes, unnecessary joins, excessive sorts, or inefficient predicates. Additionally, you can apply and test various optimization techniques for your queries, such as rewriting, simplifying, or splitting your queries, using hints, or using query optimization profiles.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?