Chapter 12. Case Study

The case study applies all previously described monitoring facilities in a common project from the DB2 and storage perspectives. This approach introduces some redundancy. The good news is that redundancy allows cross-checking information among various sources.

The environment is a very large DB2 query on partitioned table spaces over two RVA storage servers. Activity is exclusively read oriented. Only one DB2 LPAR accesses the data; there is no data sharing.

Reports generated by DB2 PM, RMF, and IXFP have been pruned to extract the relevant data and to focus on overall activity only. The reports are shown in the appendixes.

12.1 DB2 Case Study Analysis

From the DB2 point of view, the first step in analysis is to examine the accounting reports generated by DB2 PM to establish the elapsed and CPU times of the case study. The complete DB2 PM reports are shown in Appendix C, “DB2 PM Accounting Trace Report” on page 201 and Appendix D, “DB2 PM Statistics Report” on page 205.

12.1.1General Analysis

12.1.1.1Elapsed and CPU Time

For any application, the first analysis is the elapsed time and the CPU time. This information is obtained from the class 1 and class 2 times of the accounting report. This is shown in Figure 57 on page 142.

Line A shows the elapsed time of the application is 37 minutes and 41 seconds. The CPU time is 1 hour, 6 minutes and 21.58 seconds (B). The CPU time is much higher than the elapsed time, because multiple CPUs are being used in parallel. This is shown in the breakup of the CPU time, in TCB time (C), stored procedure time (TCB-STPROC) and parallel CPU time (PAR.TASKS, D).

12.1.1.2 SQL Statements

The CPU and elapsed values indicate a heavy process, either a batch calculation affecting many rows, or a CPU bound query. Figure 58 on page 142 helps to establish this. The number of SQL calls is small; it shows one dynamic SQL statement (J in Figure 58) which returns 100 rows (K in Figure 58). An extra FETCH is required to establish that there are no more rows. This example is a complex query.

© Copyright IBM Corp. 1999

141

Page 162 Page 164
Page 163
Image 163
IBM 5695-DF1, 5655-DB2 manual 12.1 DB2 Case Study Analysis, General Analysis
Page 162 Page 164

5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.
Top Page Image Contents