IBM Support

Scheduled jobs are failing with the error 'Cannot upload any more data, the custom DB has reached it's quota'

Troubleshooting


Problem

Scheduled jobs fail with the following error message:
Alert Details Exception Timestamp Exception Description Count of Exceptions 2020-05-04 12:00:05 customTableDataUpload_104 trigger: customTableJobGroup.customTableDataUpload_104 Cannot upload any more data, the custom DB has reached its quota. 

Cause

This error is presented when the CUSTOM database is full.

Diagnosing The Problem

The CUSTOM and DATAMART database both contribute to this quota on the collector. DATAMART could be the database that uses the most space.

 

Resolving The Problem

Use the following commands to check the table sizes in the CUSTOM and DATAMART databases:
support show db-top-tables db CUSTOM
Here is an example of the output returned by this command:

Table Size (M) | I/D % | Unused(M) | Est. Rows | Name

-------------- | ----- | --------- | --------- | ----------

2 | 25 | 0 | 16315 | STAP_ASSOCIATION_HISTORY

1 | 0 | 1 | 0 | STAP_INFO

0 | 100 | 0 | 0 | CM_SNIFFER_BUFFER_USAGE

support show db-top-tables db DATAMART

Table Size (M) | I/D % | Unused(M) | Est. Rows | Name

-------------- | ----- | --------- | --------- | ----------

6448 | 24 | 4643 | 1696846 | ENTERPRISE_STAP_VERIFICATION

700 | 53 | 90 | 2418730 | FAILED_LOGGINS

In the previous example, DATAMART has the largest tables.
Ensure the purge periods are set to the proper specification by using this command:
 show purge object age (look for your particular object)

56 30 DAY Eagle Eye Symptom Details

66 30 DAY Eagle Eye Symptoms

72 90 DAY Enterprise Stap Verification

88 14 DAY External S-TAP Deployment

42 7 DAY Failed User Login Attempts - Distributed

Reduce the number of days kept in the table to reduce the amount of space used. 
Use the following CLI command:
store purge object age <index> <age>
The tables in the database will be reduced upon the next archive and purge, then the scheduled jobs will run to completion.

Document Location

Worldwide

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Document Information

Modified date:
10 December 2020

UID

ibm16260529