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  1. Confluence Data Center
  2. CONFSERVER-55926

'Epic Link' column causes longer load time for Jira Issue Macro

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    Description

      Summary

      Jira Issue Table with 'Epic Link' column will take much longer to render compared to a table that doesn't have 'Epic Link' column in it.

      Environment

      Tested on Confluence 6.8 + Jira Software 7.8

      Steps to Replicate

      1. Create a test project in Jira (eg. TEST)
      2. Create ~1000 Jira Issue in Jira with Epic Link in TEST
      3. In Confluence, insert a Jira Issue Macro with project=TEST as the search filter
      4. Include "Epic Link" in the Columns to display option
      5. Set Maximum issues to 1000
      6. Insert
      7. Observe the amount of time taken to load the table
      8. Edit the Jira Issue Macro and remove "Epic Link" in the Columns to display option (leave the rest as it is)
      9. Insert
      10. Observe the amount of time taken to load the table again

      Expected Behavior

      The table loads quickly with or without "Epic Link" column

      Actual Behavior

      According to test results, it took ~2 seconds for the table to populate without Epic Link. On the other hand, it took ~15 seconds for the table to populate with Epic Link.

      Condition Load Time HAR File
      With "Epic Link" ~15 seconds with epic link.har
      Without "Epic Link" ~2 seconds without epic link.har

      Note

      • Jira Issue Macro starts showing notable slowness while Maximum issues is set to 500 or above.
      • If Confluence took longer than the expected timeframe, you'll notice the following message:
      • The same issue is also observed when 'Epic Name' column is added to the filter as well.

      Workaround

      Attachments

        1. without epic link.har
          2.94 MB
        2. with epic link.har
          3.41 MB
        3. timeout.png
          timeout.png
          7 kB

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            People

              dluong Duy Truong Luong
              jwaihou Jonathan Soo
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              Dates

                Created:
                Updated:
                Resolved: