Overview of enhancements and improvements
jls and pidd– New fields (cputime, srbtime)
Allows users to query additional attributes for jobs running on their environments.
jls & pjdd utilities have been enhanced to provide job details for processor usage (cputime) and service control block (srbtime) execution times. This gives users more granular insights into job execution metrics.
dunzip – Catch all ADRDSSU RESTORE keyword support (Phase 2)
Allows users to directly influence and refine the underlying unarchive operation through additional attributes. Supported as key/value pair inputs.
In this release, dunzip has been enhanced with a new key/value pair option to let users drive additional ADRDSSU RESTORE keywords beyond previously & explicitly supported command line options.
mvscmd and mvscmdauth – New nodefaults/RAW option
Allows called program to set its own data control block (DCB) settings instead of imposing settings that may be incompatible with the called MVS program.
The mvscmd utility was enhanced with a new “raw” option to allow a called program to define data control block DCB attributes. This new option allows greater versatility for called programs that have stricter requirements with respect to these attributes than the defaults normally chosen by mvscmd.
drm – New NOSCRATCH option
Allows users to keep a data set in VTOC after a delete.
Moreover, the drm utility has been enhanced to support a new “noscratch” option. With this flag, the space determined for data sets in the VTOC does not get freed up and reclaimed by other data sets, allowing users more predictable behavior when reallocating such data sets in the future.
jcan – Granular access restriction
Allows users to lock down job cancellations to those that have ALTER permission specified for the CANCEL resource.
This release also features additional permission-restricting opportunities for jcan. Users must now specify an ALTER permission for the CANCEL RACF resource for job cancellations outside of their user id.
Additional improvements
As always, the provided Python library has been enhanced to allow users to drive the same new functionality in this release via Python. The release also contains many more bug fixes and smaller enhancements.
Additional resources