A.2 Partitioned Table Space, DB2 Defined, Without SMS

Test case 1 illustrates how to allocate a DB2 partitioned table space using DB2 defined data sets, without SMS.

The purpose is to distribute the different data sets across multiple volumes and access paths, in order to obtain maximum benefit from DB2 parallelism. This example allocates a partitioned table space with 16 partitions on eight volumes. Two partitions are placed on each volume.

A.2.1 Create Eight STOGROUPs

Figure 81 on page 162 shows an example of the CREATE STOGROUP statement. Eight similar statements are required to create all eight Storage Groups:

SGRV1CU0

SGRV1CU1

SGRV1CU2

SGRV2CU0

SGRV2CU1

SGRV3CU0

SGRV3CU1

SGRV3CU2

CREATE STOGROUP SGRV1CU0

VOLUMES ("RV1CU0")

VCAT DB2V610Z;

Figure 81. Test Case 1 - CREATE STOGROUP

A.2.2 Create the Database

The CREATE DATABASE statement is shown in Figure 82 on page 162. Any

STOGROUP can be specified here, because it is overridden in the CREATE

TABLESPACE statement.

CREATE DATABASE BPAOLOR1

STOGROUP SGRV1CU0

BUFFERPOOL BP0

CCSID EBCDIC

Figure 82. Test Case 1 - CREATE DATABASE

162Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual Partitioned Table Space, DB2 Defined, Without SMS, Create Eight STOGROUPs, Create the Database

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.