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https://issues.apache.org/jira/browse/MRESOLVER-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17577263#comment-17577263
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ASF GitHub Bot commented on MRESOLVER-7:
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caiwei-ebay commented on PR #178:
URL: https://github.com/apache/maven-resolver/pull/178#issuecomment-1209075785
> Any updates on this PR? Can we expect it to be merged soon?
>
> I'm a contributor of [JDT Language
Server](https://github.com/eclipse/eclipse.jdt.ls), and one of our core
component [m2e](https://github.com/eclipse-m2e/m2e-core) is depending on
maven-resolver. We've been observing that downloading poms one by one takes a
lot of time when importing Maven projects. To be honest, it's one of our
performance bottleneck and we can hardly improve it on our own, in
downstream... So it would be great if this improvement can be shipped in coming
releases.
Friends, the PR is under review. Feel free to participate into the
contribution. :)
> Download dependency POMs in parallel
> ------------------------------------
>
> Key: MRESOLVER-7
> URL: https://issues.apache.org/jira/browse/MRESOLVER-7
> Project: Maven Resolver
> Issue Type: Improvement
> Components: Resolver
> Affects Versions: Aether 1.0.2
> Reporter: Harald Wellmann
> Priority: Major
> Attachments: resolve_deps.png, resolver.log
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> h3. Background
> When building a project with dependencies not yet available in the local
> repository, I noticed that Maven 3.3.9/Aether 1.0.2 first downloads the
> dependency POMs _sequentially_ and then proceeds downloading the dependency
> JARs with up to 5 threads _in parallel_.
> Due to this, when first building a project with a large number of
> dependencies, downloading a large number of small POMs may take a lot longer
> than downloading the much larger JARs, or even longer than building the
> project itself, especially when a repository manager is used which increases
> the download latency.
> h3. Enhancement
> Download POMs of (transitive) dependencies in parallel to significantly speed
> up initial builds of large projects.
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