Troubleshooting
Problem
A Microsoft Excel™ created csv file fails to import into a reference data set with the error message: 'An unknown upload error has occurred. Please try again.'
Cause
Files saved in Microsoft Excel™ as CSV UTF-8 (Comma delimited)(*.csv) use the mime_encoding of utf-8 format for the file, which cannot import into QRadar as a reference data set.
Resolving The Problem
Administrators who experience this issue can “save as” the file again in Microsoft Excel as CSV (Comma delimited)(*.csv). When saved as file type (Comma delimited)(*.csv), the mime_encoding for the file is us-ascii format, which does import into QRadar Reference data sets.
- Open the file in Microsoft Excel™.
- In Microsoft Excel, go to file, and click Save As.
- Type in a new name or keep the same name and overwrite the existing file.
- Choose the second CSV type in the list: CSV (Comma delimited)(*.csv).
- Save the file.
- In QRadar GUI, go to the admin tab.
- Click reference set management.
- Create a Reference Set or select one listed.
- Double-click to open the Reference set editor.
- Click Import and choose the new csv file to import.
- Click Import.
Results
The new file saved as type (Comma delimited)(*.csv) imports without errors.
Document Location
Worldwide
[{"Type":"MASTER","Line of Business":{"code":"LOB24","label":"Security Software"},"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Product":{"code":"SSV4BL","label":"IBM QRadar"},"ARM Category":[{"code":"a8m0z000000cwsyAAA","label":"Admin Tasks"}],"ARM Case Number":"TS012631587","Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"All Versions"},{"Type":"MASTER","Line of Business":{"code":"LOB24","label":"Security Software"},"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Product":{"code":"SSBQAC","label":"IBM Security QRadar SIEM"},"ARM Category":[{"code":"a8m0z000000cwtiAAA","label":"Performance"}],"Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"All Versions"}]
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Document Information
Modified date:
03 July 2023
UID
ibm17005009