DB2 V6 has increased the maximum size of a partitioned table space to almost 16 TB, increasing the maximum data set size to 64 GB. This is supported only if they are defined and managed with DFSMS 1.5.

3.2.3 INDEX

A table can have zero or more indexes. An index contains keys. Each key may point to one or more data rows. The purpose of indexes is to establish a way to get a direct and faster access to the data in a table. An index with the UNIQUE attribute enforces distinct keys and uniqueness of all rows in the referenced table. An index with the CLUSTER attribute can be used to establish and maintain a physical sequence in the data.

3.2.4 INDEXSPACE

An index space is used to store an index. An index space is physically represented by one or more VSAM LDS data sets.

When a non-partitioning index needs to be split across multiple data sets in order to improve I/O performance, these particular type of data sets are called PIECEs. DB2 V5 has introduced the capability of defining up to 128 pieces with a maximum size of 2 GB. DB2 V6 and DFSMS 1.5 increase the limit to 254 pieces of up to 64 GB.

3.2.5 DATABASE

A database is a DB2 representation of a group of related objects. Each of the previously named objects has to belong to a database. DB2 databases are used to organize and manage these objects. Normally a database is the association of table spaces and index spaces used by an application or a coherent part of an application.

3.2.6 STOGROUP

A DB2 Storage Group (STOGROUP) is a list of storage volumes. STOGROUPs are assigned to databases, table spaces or index spaces when using DB2 managed objects. DB2 uses STOGROUPs for disk allocation of the table and index spaces.

Installations that are SMS managed can define STOGROUP with VOLUMES(*). This specification implies that SMS assigns a volume to the table and index spaces in that STOGROUP. In order to do this, SMS uses ACS routines to assign a Storage Class, a Management Class and a Storage Group to the table or index space.

3.3 Creating Table Spaces and Index Spaces

Table and index spaces can be created in one of two ways:

•DB2 defined and managed

•User defined and managed

See the DB2 for OS/390 Administration Guide, SC26-8957,Chapter 2, Section 2-7, "Designing Storage Groups and Managing DB2 Data Sets", for a detailed explanation on this subject.

DB2 Storage Objects 13

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IBM 5695-DF1, 5655-DB2 manual Creating Table Spaces and Index Spaces
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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.
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