Figure 97 on page 171 shows the output from the executed batch job:

PAGE 0001

5695-DF175 DFSMSDSS V1R5.0 DATA SET SERVICES

1999.047 19:40

CONVERTV -

00060000

 

DDNAME(DASD1,DASD2,DASD3) -

00070001

 

SMS

00080001

ADR101I (R/I)-RI01 (01), TASKID 001 HAS BEEN ASSIGNED TO COMMAND 'CONVERTV'

ADR109I (R/I)-RI01 (01), 1999.047 19:40:33 INITIAL SCAN OF USER CONTROL STATEMENT

ADR016I (001)-PRIME(01), RACF LOGGING OPTION IN EFFECT FOR THIS TASK

ADR006I (001)-STEND(01), 1999.047 19:40:33 EXECUTION BEGINS

ADR860I (001)-KVSMS(01), PROCESSING BEGINS ON VOLUME RV1CU3

ADR873I (001)-KVSMS(01), VOLUME RV1CU3 IN STORAGE GROUP SGDBTEST IS ELIGIBLE FOR

CONVERSION TO SMS MANAGEMENT

ADR880I (001)-KVSMS(01), VOLUME RV1CU3 IS EMPTY. NO DATA SETS CONVERTED

ADR885I (001)-KVSMS(01), VOLUME RV1CU3 HAS BEEN SUCCESSFULLY CONVERTED TO SMS MANAGEMENT

ADR860I (001)-KVSMS(01), PROCESSING BEGINS ON VOLUME RV2CU3

ADR873I (001)-KVSMS(01), VOLUME RV2CU3 IN STORAGE GROUP SGDBTEST IS ELIGIBLE FOR

CONVERSION TO SMS MANAGEMENT

ADR880I (001)-KVSMS(01), VOLUME RV2CU3 IS EMPTY. NO DATA SETS CONVERTED

ADR885I (001)-KVSMS(01), VOLUME RV2CU3 HAS BEEN SUCCESSFULLY CONVERTED TO SMS MANAGEMENT

ADR860I (001)-KVSMS(01),

PROCESSING BEGINS ON VOLUME RV3CU3

 

ADR873I (001)-KVSMS(01), VOLUME RV3CU3 IN STORAGE GROUP SGDBTEST IS ELIGIBLE FOR

 

 

 

 

CONVERSION TO SMS MANAGEMENT

ADR880I (001)-KVSMS(01), VOLUME RV3CU3 IS EMPTY. NO DATA SETS CONVERTED

ADR885I (001)-KVSMS(01), VOLUME RV3CU3 HAS BEEN SUCCESSFULLY CONVERTED TO SMS MANAGEMENT

PAGE 0002

5695-DF175

DFSMSDSS V1R5.0

DATA SET SERVICES

1999.047 19:40

ADR892I (001)-KVRPT(01), THE STATUS OF EACH VOLUME IS AS FOLLOWS

 

 

VOLUME

FINAL STATUS

REASON FOR FAILURE

 

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

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

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

 

RV1CU3 - CONVERTED

SMS

 

 

RV2CU3 - CONVERTED

SMS

 

 

RV3CU3 - CONVERTED

SMS

 

ADR006I (001)-STEND(02),

1999.047 19:40:39

EXECUTION ENDS

 

ADR013I (001)-CLTSK(01),

1999.047 19:40:39

TASK COMPLETED WITH RETURN CODE 0000

ADR012I (SCH)-DSSU (01),

1999.047 19:40:39

DFSMSDSS PROCESSING COMPLETE. HIGHEST

Figure 97. Test Case 3 - DFSMSdss CONVERTV Output

A.4.4 ISMF Test Cases

Prior to permanently updating the SMS configuration, ISMF, option 7.4, was used to compare the active configuration (ACDS) against the updated source found in the SCDS. Figure 98 on page 171 shows the test case results for an existing Table space pattern name, DB2D.DSNDBC.BTRANS.TEST1.I0001.A001, against the ACDS. Here a null Storage Class is assigned, thus preventing the data set from becoming SMS managed:

 

 

ACS TESTING RESULTS

CDS NAME

: ACTIVE

 

ACS ROUTINE TYPES: DC SC MC SG

ACS TEST LIBRARY : PAOLOR3.JCL.CNTL

ACS TEST

 

 

MEMBER

EXIT CODE

RESULTS

---------

----------

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

DESCRIPTION: DB2D.DSNDBC.BTRANS.TEST1.I0001.A001

SMSTEST1

0

DC = NULL VALUE ASSIGNED

 

0

SC = NULL VALUE ASSIGNED

NOTE: MC AND SG NOT EXECUTED WHEN ACS READ/WRITE VARIABLE STORCLAS = ''

ACS TESTING RC: 00

Figure 98. Test Case 3 - ISMF Test against the ACDS

Test Cases for DB2 Table Space Data Sets 171

Page 193
Image 193
IBM 5695-DF1, 5655-DB2 manual Ismf Test Cases, ACS Testing Results

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.