If the count is 0 then it means all the records in the EV table belong to current tasks in the Process Monitoring. If the count is > 0 then there are orphaned records (please open support case and ask for clean-up SQL statements).
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Original Message:
Sent: Dec 04, 2025 08:22 AM
From: Shravya Devadiga
Subject: Automic schema tables
Hi Markus,
We usually keep 14days of data in DB (3 sets of ILM) and clear remaining. EH table also is not having much data.

Need to know how the EJ** and some other tables having more data, how that can be cleared?
Regards,
Shravya Devadiga
Original Message:
Sent: Dec 04, 2025 01:46 AM
From: Markus Embacher
Subject: Automic schema tables
Hi,
based on the information provided I think the data you are seeing reflects the data being generated at normal workload of your Automic instance. But I am not able to verify that based on that data. Your queries are showing EH for a couple of specific dates, but the other E-tables show the total number of records. All other tables are child-tables to EH. How many days/weeks (how many ILM partitions) you keep in you DB?
Regards, Markus
Original Message:
Sent: Dec 03, 2025 07:19 AM
From: Shravya Devadiga
Subject: Automic schema tables
Hi Markus,
No more executions are pending in process monitoring as we are clearing it. ILM is being dropped once a week and AE maintenance is also being performed Still we could see the data is more in EJ**, MELD, AH tables. How can we reduce the size of the tables to avoid the impact?
| TABLE | PROCESS_D | RECORD_COUNT |
| AH | 24-Nov-25 | 885226 |
| AH | 25-Nov-25 | 755672 |
| AH | 26-Nov-25 | 218777 |
| EH | 24-Nov-25 | 23446 |
| EH | 25-Nov-25 | 28582 |
| EH | 26-Nov-25 | 20758 |
| MQSRV | 25-Nov-25 | 154 |
| OH | 24-Nov-25 | 34279 |
| OH | 25-Nov-25 | 31217 |
| OH | 26-Nov-25 | 7356 |
| RH | 24-Nov-25 | 1369529 |
| RH | 25-Nov-25 | 1158267 |
| RH | 26-Nov-25 | 343386 |
| RT | 24-Nov-25 | 26941533 |
| RT | 25-Nov-25 | 23699594 |
| RT | 26-Nov-25 | 7773823 |
| Table Name | Count (ROWS) |
| EJ | 9678725 Rows |
| EFC | 3252356 Rows |
| EPPF | 3251381 Rows |
| ESTP | 10057127 Rows |
| EOI | 5144 Rows |
| EJPFV | 79285 Rows |
| EJPPC | 5679 Rows |
| EJPOV | 24456831 Rows |
| EJPPF | 96421 Rows |
| EJPPA | 24890505 Rows |
| EJPCV | 399085 Rows |
| EJPPO | 28648386 Rows |
| EJPPV | 2846381 Rows |
| EV | 453786349 Rows |
| ECV | 115738581 Rows |
| EJPP | 30291753 Rows |
| EPUD | 611259 Rows |
| EVP | 43 Rows |
| EY | 53259 Rows |
Regards,
Shravya Devadiga
Original Message:
Sent: Nov 28, 2025 05:01 AM
From: Markus Embacher
Subject: Automic schema tables
Hi Shravya,
please switch the view in process monitoring from list view to tree view and look for top level workflows. then deactivate those top level workflows. It will also deactivate the tasks within those workflows. Start with oldest workflow tasks first.
When using ILM make sure you still run the Reorg and Unload utility in order to get rid of objects in the recycle bin and to reorganize versioned objects.
ILM partitions cannot be checked and dropped if related activities are not deactivated in process monitoring.
If it turns out there are too many tasks left for deactivation open a case with Support and ask for help cleaning up the tables.
Regards, Markus
Original Message:
Sent: Nov 28, 2025 04:50 AM
From: Shravya Devadiga
Subject: Automic schema tables
Hi Marcus,
Thanks for your valuable response!
We have some issues while clearing the deactivate tasks from process monitoring perspective, we are trying to clear it manually, but it is not clearing. And we are maintaining the ILM partition and dropping it in timely manner.

Kindly suggest if we can take any other action on this issue, as you mentioned we are having some challenges on application.
Regards,
Shravya
Original Message:
Sent: Nov 28, 2025 02:31 AM
From: Markus Embacher
Subject: Automic schema tables
Hi Shravya,
do not purge any data from Automic tables unless instructed by our Support team.
The data in the A* tables is the execution history. Data in E* tables is the process monitoring view in AWI.
For cleaning up the A** tables please use the DB.Archive, DB.Reorg and DB.Unload utilities to maintain the data in those tables. It is recommended to automate those tools using an Automic workflow and to run it on a regular basis.
You can find more information in our documentation:
https://docs.automic.com/documentation/webhelp/english/ALL/components/DOCU/24.4.0/Automic%20Automation%20Guides/Content/Utilities/admin_Utilities_Overview.htm?Highlight=utilities
The data in the E** tables is very concerning, because it means, that there are a lot of activities in the Process Monitoring which were not cleaned up (deactivated). To have a performant Automic system it is very important to care about deactivating tasks from the Process Monitoring when they are finished. The normal process is to define an automatic deactivation on workflow level or to deactivate workflows manually. Since the number of records is huge I recommend opening a case with Support and ask for help on cleaning up those activities.
https://docs.automic.com/documentation/webhelp/english/ALL/components/DOCU/24.4.0/Automic%20Automation%20Guides/Content/AWA/Objects/obj_attributes_defining.htm#TaskDeactivation
I'm assuming that the number of records in the E* tables is already significantly impacting the overall performance of your Automic system.
Regards, Markus
Original Message:
Sent: Nov 27, 2025 07:23 AM
From: Shravya Devadiga
Subject: Automic schema tables
Hi Community,
I have observed the huge data in some of below tables, is it suggestable to purge the data in below tables?
Can you Please confirm
| TABLE | PROCESS_D | RECORD_COUNT |
| AH | 24-Nov-25 | 885226 |
| AH | 25-Nov-25 | 755672 |
| AH | 26-Nov-25 | 218777 |
| EH | 24-Nov-25 | 23446 |
| EH | 25-Nov-25 | 28582 |
| EH | 26-Nov-25 | 20758 |
| MQSRV | 25-Nov-25 | 154 |
| OH | 24-Nov-25 | 34279 |
| OH | 25-Nov-25 | 31217 |
| OH | 26-Nov-25 | 7356 |
| RH | 24-Nov-25 | 1369529 |
| RH | 25-Nov-25 | 1158267 |
| RH | 26-Nov-25 | 343386 |
| RT | 24-Nov-25 | 26941533 |
| RT | 25-Nov-25 | 23699594 |
| RT | 26-Nov-25 | 7773823 |
| Table Name | Count (ROWS) |
| EJ | 9678725 Rows |
| EFC | 3252356 Rows |
| EPPF | 3251381 Rows |
| ESTP | 10057127 Rows |
| EOI | 5144 Rows |
| EJPFV | 79285 Rows |
| EJPPC | 5679 Rows |
| EJPOV | 24456831 Rows |
| EJPPF | 96421 Rows |
| EJPPA | 24890505 Rows |
| EJPCV | 399085 Rows |
| EJPPO | 28648386 Rows |
| EJPPV | 2846381 Rows |
| EV | 453786349 Rows |
| ECV | 115738581 Rows |
| EJPP | 30291753 Rows |
| EPUD | 611259 Rows |
| EVP | 43 Rows |
| EY | 53259 Rows |
Thanks & Regards
Shravya
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