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Hi Joachim, The Data Aggregator is build directly on top of the same GQI framework and the paging algorithm does not affect this sort limit. So the behavior you see …

Hi Matthijs, There currently is no way to modify the text coming from the input before it is used in the ‘Copy to clipboard’ action. A way to make this …

Hi Tamara, There are a few strategies you could look into for such large tables depending on your requirements. If you do not require all of those rows and are …

Hi Nejra, I think your best guess is to make sure the jobs have a column that contain the transmission and apply grouping on transmission on the timeline: If you …

Hi Laszlo, As discussed, this feature is currently not available in the Microsoft Platform connector. A new driver feature request will be required. Regards,

Hi Alberto, I believe the documentation in DataMiner Compute Requirements | DataMiner Docs still holds even if you use VMs for your databases. Just ensure you follow the recommendations mentioned …

Hi Ermanno, I believe there is an example in DataMiner Docs for this use case: If you want to configure a table to have all rows monitored, except certain specific …

Hi, The value is 2.5 billion, which seems to be pointing to an int32 overflow when seeing a negative value (which has a max of 2.1 billion). My best guess …

Hi Maya, The general guideline would be to define a timer within the protocol.xml. This timer will be responsible to trigger your HTTP Session to retrieve the data for the …

Hi Jaroslaw, You can follow the workaround mentioned in Verify No Legacy Correlation | DataMiner Docs to get rid of legacy correlation rules. After that, running the upgrade should be …

Hi Miguel, After some serious searching, I found the requirements for DataMiner 9.6 : DataMiner 9.6.0 System Requirements – DataMiner Dojo You can download it from this link. The OS …

Hi Curtis, Ensure your DMAs meet the requirements : DataMiner Compute Requirements | DataMiner Docs. After finalizing the version you want to upgrade to, you need to read this first …

Doing this purely inside the low-code app is not possible, yet. However, this functionality is coming up, as part of an extension of flows. A new flow operator (of which …