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Performance of jira-python to update issues

I am using jira-python library v2.0.0 to update summary field of thousands of issues on JIRA 7.4.4 hosted on AWS.

The JIRA project was originally migrated from another bug tracking tool, hence we have retained the original issue ID of each issue from the original bug tracking tool onto JIRA as a suffix to summary for each of the issues. Through my Python script, I am modifying this suffix to a format we require.

I have two questions here -

1) the search_issues return only 1000 issues at a time even if the maxResults is set to any large number. Is there a way I can get more than 1000 issues (other than having my own loop through mechanism until I hit

2) I am updating the Summary field using issue.update. On a Windows machine with 16GB RAM, Intel i7 core and pretty much nothing else running on that machine, I am able to update 1000 issues in almost 19 minutes on an average. Is there a way I can improve this performance? Is it because my JIRA is on a different network (AWS)?




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