Using generation data groups
A cataloged data set that is frequently updated, such as a weekly payroll, can be grouped with its earlier generations to form a named generation data group. To learn more, see Processing generation data groups.
Create a generation data group
With ZOAU, you can create a generation data group called ${prefix}.GDG
that has a limit of 255 generations in the following ways:
Issuing a shell command:
dtouch -tGDG -L255 ${prefix}.GDG
Calling an API in python programs:
gdgs.create("%s.GDG" % HLQ, 255)
Without ZOAU, to achieve the same purpose, you need to write the following JCL statements:
//GDGTCH EXEC PGM=IDCAMS
//SYSPRINT DD SYSOUT=A
//SYSIN DD *
DEFINE GENERATIONDATAGROUP (NAME(@@HLQ@@.GDG) LIMIT(255))
List the active generation data sets in a generation data group
With ZOAU, you can list the details of the active generation data sets from a generation gata group named ${prefix}.GDG
in the following ways:
Issuing a shell command:
dls -tGDS -l '${prefix}.GDG.*'
Calling an API in Python programs:
gdg = gdgs.GenerationDataGroupView("%s.GDG" % HLQ)
print(gdg.generations())
Delete a generation data group
With ZOAU, you can delete a generation data group called ${prefix}.GDG
in the following ways:
Issuing a shell command:
drm -F "${prefix}.GDG"
Calling an API in Python programs:
gdgs.GenerationDataGroupView("%s.GDG" % HLQ).delete()
Without ZOAU, to achieve the same purpose, you need to write the following JCL statements:
//RMGDG EXEC PGM=IDCAMS
//SYSPRINT DD SYSOUT=*
//SYSIN DD *
DELETE (@@HLQ@@) GENERATIONDATAGROUP