needs values from the statistics report shown in Figure 41: the NOWAIT counter C, and the number of control intervals created in the active log, counter D. Use the following formula:

avg size of log record in bytes = D * 4096 / C

Using this value to estimate logging needs, plus considering the available device sizes, the DB2 system administrator can update the output of the installation CLIST to modify the calculated values for active log data set sizes.

LOG ACTIVITY

 

QUANTITY

/MINUTE

/THREAD

/COMMIT

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

--------

-------

-------

-------

READS SATISFIED-OUTPUT BUFF

15756.00

F

11.21

2.82

0.07

READS SATISFIED-OUTP.BUF(%)

100.00

 

 

 

 

READS SATISFIED-ACTIVE LOG

0.00

G

0.00

0.00

0.00

READS SATISFIED-ACTV.LOG(%)

0.00

 

 

 

 

READS SATISFIED-ARCHIVE LOG

0.00 A

0.00

0.00

0.00

READS SATISFIED-ARCH.LOG(%)

0.00

 

 

 

 

TAPE VOLUME CONTENTION WAIT

0.00

 

0.00

0.00

0.00

WRITE-NOWAIT

C

2019.6K

1437.45

361.15

8.70

WRITE OUTPUT LOG BUFFERS

E

250.3K

 

178.17

44.76

1.08

BSDS ACCESS REQUESTS

 

2041.00

 

1.45

0.36

0.01

UNAVAILABLE OUTPUT LOG BUFF

B 0.00

 

0.00

0.00

0.00

CONTR.INTERV.CREATED-ACTIVE

59442.00

D

42.31

10.63

0.26

ARCHIVE LOG READ ALLOCATION

0.00

 

0.00

0.00

0.00

ARCHIVE LOG WRITE ALLOCAT.

2.00

 

0.00

0.00

0.00

CONTR.INTERV.OFFLOADED-ARCH

65023.00

 

46.28

11.63

0.28

READ DELAYED-UNAVAIL.RESOUR

0.00

 

0.00

0.00

0.00

LOOK-AHEAD MOUNT ATTEMPTED

0.00

 

0.00

0.00

0.00

LOOK-AHEAD MOUNT SUCCESSFUL

0.00

 

0.00

0.00

0.00

Figure 41. Log Statistics in a Sample DB2 PM Statistics Report

118Storage Management with DB2 for OS/390

Page 140
Image 140
IBM 5655-DB2, 5695-DF1 manual LOG Activity, Minute Thread Commit, Write-Nowait, Bsds Access Requests

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.