z/OS DFSMSdfp Utilities
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IEBCOPY (Library Copy) Program

z/OS DFSMSdfp Utilities
SC23-6864-00

IEBCOPY is a data set utility that is used to copy or merge members between one or more partitioned data sets, or partitioned data sets extended (PDSEs), in full or in part. You can also use IEBCOPY to create a backup of a partitioned data set into a sequential data set (called an unload data set or PDSU), and to copy members from the backup into a partitioned data set.

Starting in z/OS V1R13, IEBCOPY is no longer APF-authorized. It does not need to be run from an authorized library, and calling programs do not need to be APF-authorized.

You can use IEBCOPY to perform the following tasks:
  • Make a copy of a partitioned data set or PDSE.
  • Merge partitioned data sets (except when unloading).
  • Create a sequential form of a partitioned data set or PDSE for a backup or transport.
  • Reload one or more members from a PDSU into a partitioned data set or PDSE. (Note that an unloaded load module cannot be converted to a program object in this process.)
  • Select specific members of a partitioned data set or PDSE to be copied, loaded, or unloaded.
  • Replace members of a partitioned data set or PDSE.
  • Rename selected members of a partitioned data set or PDSE when copied.
  • Exclude members from a data set to be copied, unloaded, or loaded. (Except on COPYGRP).
  • Compress a partitioned data set in place.
  • Upgrade a load module for faster loading by MVS program fetch.
  • Copy and reblock load modules.
  • Convert load modules in a partitioned data set to program objects in a PDSE when copying a partitioned data set to a PDSE.
  • Convert a partitioned data set to a PDSE or a PDSE to a partitioned data set.
  • Copy to or from a PDS or PDSE data set, a member and its aliases together as a group (COPYGROUP)

In addition, IEBCOPY automatically lists the number of unused directory blocks and the number of unused tracks that are available for member records if the output data set is a partitioned data set.

Related reading: For important information on shared partitioned data sets see Job Control Statements.

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