VOLUME LIST

 

 

 

Command ===>

 

 

 

 

 

Scroll ===> HALF

 

 

 

 

 

Entries 1-8 of 8

Enter Line Operators below:

 

 

 

Data Columns 3-8 of 40

LINE

VOLUME FREE

%

ALLOC

FRAG

LARGEST

FREE

OPERATOR

SERIAL SPACE

FREE

SPACE

INDEX

EXTENT

EXTENTS

---(1)----

-(2)-- --(3)--

(4)-

--(5)--

-(6)-

--(7)--

--(8)--

 

RV1CU1 1380300

50

1391200

0

1379525

2

 

RV1CU2 1380300

50

1391200

0

1379525

2

 

RV1CU3 1380300

50

1391200

0

1379525

2

 

RV2CU2 1380300

50

1391200

0

1379525

2

 

RV2CU3 1380300

50

1391200

0

1379525

2

 

RV3CU1 1380300

50

1391200

0

1379525

2

 

RV3CU2 1380300

50

1391200

0

1379525

2

 

RV3CU3 1380300

50

1391200

0

1379525

2

----------

------ ----------- BOTTOM OF

DATA

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

Figure 112. Test Case 5 - ISMF Storage Group Volume Display

Figure 113 on page 181 shows an extract from an IDCAMS LISTCAT display of one of the Table space partitions defined in this test, showing the SMS attributes, and the space allocation in cylinders:

CLUSTER -------

DB2D.DSNDBC.BPAOLOR1.PART1.I0001.A001

IN-CAT ---

UCAT.VSBOX09

 

 

 

 

HISTORY

 

 

 

 

 

 

DATASET-OWNER------

HAIMO

CREATION--------

1999.048

SMSDATA

 

 

 

 

 

 

STORAGECLASS ---

SCDBTEST

MANAGEMENTCLASS--MCDB21

DATACLASS --------

(NULL)

 

LBACKUP ---

0000.000.0000

ALLOCATION

 

 

 

 

 

 

SPACE-TYPE------

CYLINDER

 

HI-A-RBA------

1229045760

SPACE-PRI-----------

1667

 

HI-U-RBA---------

1474560

SPACE-SEC-----------

1667

 

 

 

 

VOLUME

 

 

 

 

 

 

VOLSER------------

RV1CU3

 

 

 

 

Figure 113. Test Case 5 - IDCAMS LISTCAT Display Extract

A.7 Partitioned Table Spaces Using SMS, User Distribution

Test case 6 illustrates how it is possible to define partitioned table spaces, ensuring SMS maps each separate partition to a separate Storage Group.

The aim, as in the previous test case, is to obtain the benefits of DB2 parallelism, but using the naming convention of the Table spaces to assign partitions to each Storage Group. This example defines two partitioned table spaces, each with four partitions using an existing naming conventions.

A.7.1 Create Storage Groups

Eight Storage Groups are allocated for the purpose of this test. One disk volume is assigned to each Storage Group (SGDBA001 - 4 and SGDBB001 - 4). Table 31

Test Cases for DB2 Table Space Data Sets 181

Page 203
Image 203
IBM 5695-DF1 Partitioned Table Spaces Using SMS, User Distribution, Create Storage Groups, Line Volume Free Alloc Frag

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.