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https://issues.apache.org/jira/browse/MRESOLVER-7?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17570927#comment-17570927
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ASF GitHub Bot commented on MRESOLVER-7:
----------------------------------------

michael-o commented on code in PR #178:
URL: https://github.com/apache/maven-resolver/pull/178#discussion_r928938065


##########
maven-resolver-impl/src/main/java/org/eclipse/aether/internal/impl/collect/bf/BfDependencyCollector.java:
##########
@@ -365,6 +477,64 @@ else if ( descriptorResult == DataPool.NO_DESCRIPTOR )
         return descriptorResult;
     }
 
+    static class ParallelDescriptorResolver
+    {
+        final ExecutorService executorService;

Review Comment:
   I mean the former, fully utilize `get(List, List)` with all the `GetTask`, 
`PeekTask`. Downloading POMs in parallel shouldn't be any different than before 
sequentially.





> 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: 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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