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One of the #1 things I use the product for is the Discovered Product Use by Moth. In here, after drilling down from LPAR>LIBRARY, I get the most granular data usage, going down to the jobname/userid/date/library, etc. 99% of the time, this is the data I use. But the issue is gathering ALL that data for EACH LPAR, then combining it into 1 spreadsheet. This takes too much time to download the months data from each LPAR, copy and copy the CSV content into a new CSV file. There is probably some SQL query that can be done but I dont know SQL.
Can we get an option to gather all the granular usage data of a product from ALL LPARS? Also add a date range so I dont have to combine several months together.
So it would have the fields below, and in those fields, it would contain data from all LPARS and all LIBRARIES. If you want, you could add a filter to choose from different libraries just like you do now with choosing products and LPARS, but that can easily be done in Excel. The most important part is gather all the data from all LPARS and all Libraries, and provide a MONTH FROM/TO filter.
Module |
Alias |
System |
User Id |
User Name |
Job Name |
Job Account Code |
First Date |
Last Date |
Last Job Id |
Events |
Vendor |
Product Release Name |
Release |
PID |
Library |
Volume
Thanks, Alvin |
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Idea priority | Medium |
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Hello, Thank you for opening this product enhancement request. Development have commented that the Batch Analyzer job delivers what you are seeking. We plan to close this Aha idea accordingly. Please reach out if you have any further questions. Regards IBM Product Management
Hi Alvin,
I'm sure you realise that what you are asking for will incurr a lot of CPU and also a lot of data will be produced. You can use the Batch Analyzer job to do what you want by using the statements below: