TOT4K

TOTAL

 

---------------------

--------

 

BPOOL HIT RATIO (%)

2

E

GETPAGES

6135875

 

BUFFER UPDATES

48

 

SYNCHRONOUS WRITE

0

 

SYNCHRONOUS READ

19559

F

SEQ. PREFETCH REQS

164649

G

LIST PREFETCH REQS

0

H

DYN. PREFETCH REQS

26065

I

PAGES READ ASYNCHR.

5943947

J

HPOOL WRITES

0

 

HPOOL WRITES-FAILED

0

 

PAGES READ ASYN-HPOOL

0

 

HPOOL READS

0

 

HPOOL READS-FAILED

0

 

Figure 66. DB2 PM Accounting Buffer Pool Summary

12.1.4 Conclusions

This example shows a very complex and heavy read-only query. Five-way parallelism has been used to reduce elapsed time.

The query is CPU bound with complex stage 2 type predicates, which access many pages but produce a small result set of 100 rows.

Sequential prefetch, dynamic prefetch, and sequential reads are executed. I/O response time is excellent.

The query could probably benefit from a higher degree of parallelism or from a faster central processor.

Summary of I/O operations

 

Sequential prefetch requests:

164649

Dynamic prefetch requests:

26065

Total prefetch requests:

190714

Total synchronous reads:

19559

Total I/O requests:

210273

Average I/O per second:

93

12.2 Storage Server Analysis

From the storage server analysis point of view, the first activity, in such a case study, is to eliminate unnecessary data from large RMF and IXFP reports. After the data has been discarded, you apply the methodology described in Chapter 11.2, “RMF Monitoring” on page 124, and Chapter 11.3, “IXFP Monitoring” on page 135 to access the relevant information.

12.2.1 RMF Views

RMF generates a report set for each LPAR. In each set, the cache subsystem activity report displays the same common view over all sharing LPARs at the LCU level. Therefore, the process of extracting data to analyze is mainly based on

Case Study 147

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Image 169
IBM 5695-DF1, 5655-DB2 manual Storage Server Analysis, Conclusions, RMF Views, Summary of I/O operations

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.