Summary

You may encounter "Unable to parse date" Error of fatal error using CSV import in Jira Cloud

Cause

The date format set in the CSV file doesn't match the date format set during the CSV import.

Solution

During the 'Setup' step of the import process, it's important to include the same date format used in your CSV file. Make sure to apply this format consistently for all date fields in the file.
You can refer to this page to get the syntax for your date fields: SimpleDateFormat

Example 1

In the CSV file, you are using the following date format:

23/02/2023 08:54 

During the import process, in the Setup step, you should set the date format to match the format set in the CSV file:

Example 2

You receive and error of:

Unable to parse datetime: 31/May/23 using the date format pattern: dd/MMM/yy h:mm a

Cause: In this case the date time `31/May/23` does not match the date format pattern `dd/MMM/yy h:mm a` because it is missing the `h:mm a`. To fix this you need to change the date format pattern to `dd/MMM/yy`

Example 3

 Unable to parse datetime: 31-May-23 using the date format pattern: dd/MMM/yy

Cause: The input date uses dashes instead of slashes. The date format pattern needs to be changed to dd-MMM-yy

Example 4

Unable to parse datetime: 31/May/23 0:00 a using the date format pattern: dd/MMM/yy h:mm a

Cause: 0 is invalid value when used in the AM/PM time format.  If using the AM/PM format, 0 hours would need to be converted into 12