Not able to extract more than 500 issues using jira python api.

[Lavina]

 i am using Jira-python API to extract description and summary from jiras in my project. My project has around 1700 issues. but i am only able to extract a max of 500 issues. I am extracting all issues in a data frame using pandas.  i followed this approach given in this link . But unable to fix it. kindly help.

extracting data from jira

from jira import JIRA
jira = JIRA('https://jira.spring.io')
block_size = 1000
block_num = 0
allissues = []
while True:
start_idx = block_num*block_size
issues = jira.search_issues('project=XD', start_idx, block_size)
if len(issues) == 0:
# Retrieve issues until there are no more to come
break
block_num += 1
for issue in issues:
#log.info('%s: %s' % (issue.key, issue.fields.summary))
allissues.append(issue)

[Ian Ragudo · Accepted solution]

Hello @xoxo ,

What is the value of your server's jira.search.views.default.max (found in System > Advance Settings)? By any chance is it 250? 

I am not that familiar with Jira-python API but I believe it is calling Jira server's Search REST API underneath the hood, hence, jira.search.views.default.max will be used as the limit.

If your jira.search.views.default.max is not 1000, try changing your block_size to your default max value, then I think it should be ok.

Cheers,

Ian

[4 D]

Hi,

it should be possible to use the maxResults parameter in your call "jira.search_issues", for example "maxResults=1000"

If you need to get more than 1000 items, just try "maxResults=False" that allows retreiving all possible items without limitation

[erin mahagan]

Hi, I tried this and maxResults=False does not pull the full amount of issues.