'Python JIRA jira.issue slow performance

I am trying to retrieve from JIRA tree graph of parent child issues epic->story->task using python3.10 jira=3.1.1

for project with 400 issues it takes minutes to retrieve the result.

is there a way how to improve this code for better performance

The result is displayed in flask frontend web and response time 2minutes is not pleasant for users

jira = JIRA(options={'server': self.url, 'verify': False}, basic_auth=(self.username, self.password))

for singleIssue in jira.search_issues(jql_str=querystring, maxResults=False):
            issue = jira.issue(singleIssue.key)
            links = issue.fields.issuelinks
            
            for link in links:
                if hasattr(link, 'inwardIssue'):
                    item['inward_issue'] = link.inwardIssue.key
                if hasattr(link, 'outwardIssue'):
                    item['outward_issue'] = link.outwardIssue.key
                item['typename'] = link.type.nam

python api jira

Solution 1:^[1]

I realised this is moreless matter of flask and long queries handling. It should be solved either by asynchronous calls or queuing.

Solution 2:^[2]

Limit the fields you are requesting via the "fields=[ 'key' ]" parameter to include only those which you need.

In your example you are fetching the whole issue twice: once from the .search_issues() iterator every time round the loop (as expected), and (unnecessarily) again in the .issue() call on the following line.

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Source: Stack Overflow

Solution	Source
Solution 1	Petr Simik
Solution 2

'Python JIRA jira.issue slow performance

Solution 1:[1]

Solution 2:[2]

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Related Questions

Solution 1:^[1]

Solution 2:^[2]