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What is a Partitioned Data Set?

Published in Data Set 2 mins read

A partitioned data set is a type of data set that functions like a container holding multiple distinct components, often called libraries.

Understanding Partitioned Data Sets

In essence, a partitioned data set serves as a single logical unit that is internally divided or 'partitioned' to store individual, named components. These components are known as members. Think of it like a physical library building (the partitioned data set) that contains many different books (the members), each with its own title.

Key Characteristics

Based on common conventions and practices, partitioned data sets exhibit several key characteristics:

  • Aliases: They are often called libraries.
  • Naming Convention: By convention, these libraries often have the letters "LIB" included in their data set name, making their purpose easily identifiable.
  • Purpose: They are typically used as repositories for specific types of data.
  • Contents: By convention, programs and procedures are stored within separate libraries.
  • Structure: Within a partitioned data set (a library), each individual program or procedure is stored as a separate member of the data set.

Structure and Naming Convention

The structure allows related programs or procedures to be grouped together under a single data set name. For example, a set of utility programs might all reside as separate members within a partitioned data set named MY.UTILITY.**LIB**.

This organization simplifies management, as you can refer to the collection of members by the single data set name, while also being able to access individual members directly by their name.

Example Structure

  • Partitioned Data Set (Library): MY.PROGRAM.**LIB**
    • Member 1: SORTPGM (A program)
    • Member 2: REPRTPROC (A procedure)
    • Member 3: CALCPROG (Another program)

Common Uses

As highlighted, a primary use case for partitioned data sets, particularly those referred to as libraries, is the storage of executable code and command sequences:

  • Storing programs: Compiled or assembled application programs.
  • Storing procedures: JCL (Job Control Language) procedures or other sets of commands that can be executed.

This concentration of executable content in dedicated libraries with a conventional naming scheme aids organization and system management.