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https://issues.apache.org/jira/browse/MRESOLVER-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17693194#comment-17693194
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wei cai edited comment on MRESOLVER-7 at 2/24/23 1:15 PM:
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[~knut]
Thanks for your feedback! This is a closed JIRA, it's not appropriate to put
new comments here, let's discuss about BF + Skipper + Parallel downloading in
https://issues.apache.org/jira/browse/MRESOLVER-324
For your reported issue, it is not BF related, should be related with
https://issues.apache.org/jira/browse/MRESOLVER-325
was (Author: wecai):
[~knut]
Thanks for your feedback! This is a closed JIRA, it's not appropriate to put
new comments here, let's discuss about BF + Skipper + Parallel downloading in
https://issues.apache.org/jira/browse/MRESOLVER-324
For your reported issue, it is related with
https://issues.apache.org/jira/browse/MRESOLVER-325
> Download dependency POMs in parallel in BF collector
> ----------------------------------------------------
>
> 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
> Assignee: Tamas Cservenak
> Priority: Major
> Fix For: 1.9.0
>
> 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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