GitHub user dosubot[bot] edited a comment on the discussion: Pipeline running 
for days

<!-- Answer -->
For the Jira error, Atlassian removed the V2 API endpoint, so DevLake needs to 
use `/rest/api/3/search/jql` instead. This was fixed in PR #8559—upgrading to a 
version that includes this change (like v1.0.3-beta5) should resolve the issue 
for Jira integration 
[[source](https://github.com/apache/incubator-devlake/issues/8563)].

On the pipeline hanging with your largest GitHub repo: even without explicit 
resource constraints, large data collections can silently stall if memory is 
insufficient. Users have resolved similar issues by increasing container memory 
to at least 6GB 
[[source](https://github.com/apache/incubator-devlake/issues/8480)]. If the 
pipeline still progresses slowly, check for plugin-specific bugs: in recent 
versions, the GitHub GraphQL plugin sometimes mismatches data formats between 
"Collect Job Runs" and "Extract Jobs," causing incomplete extraction or stalls 
[[source](https://github.com/apache/incubator-devlake/issues/8383)]. If you 
upgraded recently, a full data recollection may help.

For large repos, you can also try enabling shallow cloning, setting 
`SkipCommitStat` and `SkipCommitFiles` to true, and ensuring `NoShallowClone` 
is false to reduce memory usage 
[[source](https://github.com/apache/incubator-devlake/issues/8277)]. Batch 
processing and double cloning methods are available if you need further 
optimization.

If the pipeline continues to hang or crawl, sharing more logs or your pipeline 
config could help pinpoint the bottleneck.


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GitHub link: 
https://github.com/apache/incubator-devlake/discussions/8576#discussioncomment-14401772

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