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DSLIST - Data Sets Matching DB2P.LOG*

 

Row 1 of 12

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Message

Volume

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DB2P.LOGCOPY1.DS01

*VSAM*

DB2P.LOGCOPY1.DS01.DATA

RV1CU1

DB2P.LOGCOPY1.DS02

*VSAM*

DB2P.LOGCOPY1.DS02.DATA

RV2CU1

DB2P.LOGCOPY1.DS03

*VSAM*

DB2P.LOGCOPY1.DS03.DATA

RV3CU1

DB2P.LOGCOPY2.DS01

*VSAM*

DB2P.LOGCOPY2.DS01.DATA

RV2CU1

DB2P.LOGCOPY2.DS02

*VSAM*

DB2P.LOGCOPY2.DS02.DATA

RV3CU1

DB2P.LOGCOPY2.DS03

*VSAM*

DB2P.LOGCOPY2.DS03.DATA

RV1CU1

***************************** End of Data Set list ****************************

Figure 127. ISPF Data Set List of Active Logs

It can be seen from the above the list, that the use of the GUARANTEED SPACE parameter has allowed the even distribution of the six files across the three designated volumes, ensuring that optimum performance and availability are provided.

B.2 Archive Logs

This second test case illustrates the allocation of archive logs, and is based on the following assumptions:

There are three DB2 subsystems: DB2D, DB2T, and DB2P.

The naming standard for the data sets is shown in 3.6.3, “Archive Logs” on page 19, using as high level qualifier the subsystem identifier.

Storage Class, Management Class and Storage Group constructs are created with the criteria as defined in 7.1, “SMS Examples for DB2 Recovery Data Sets” on page 63.

The ACS routines from the example in B.1, “BSDS and Active Logs” on page 185 will be extended to support the archive log data sets.

B.2.1 Storage Class

One Storage Class, SCDBARCH was added to the SMS configuration for all archive log data sets of the three subsystems.

Figure 128 on page 192 shows an extract of the extended Storage Class ACS routine used in the previous test case, now incorporating the archive logs:

Test Cases for DB2 Recovery Data Sets 191

Page 213
Image 213
IBM 5695-DF1 DB2P.LOGCOPY1.DS01.DATA, DB2P.LOGCOPY1.DS02.DATA, DB2P.LOGCOPY1.DS03.DATA, DB2P.LOGCOPY2.DS01

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.