balmukundblr opened a new pull request #2345:
URL: https://github.com/apache/lucene-solr/pull/2345


   # Description
   
   Lucene Benchmark Scaling Problem with Reuters Corpus
   
   While Indexing 1 million documents with reuters21578 (plain text Document 
derived from reuters21578 corpus), we observed that with higher number of Index 
threads, the Index throughput does not scale and degrades. Existing 
implementation with synchronization block allows only one thread to pick up a 
document/file from list, at any given time – this code is part of 
getNextDocData() in ReutersContentSource.java. With multiple index threads, 
this becomes a thread contention bottleneck and does not allow the system CPU 
resource to be used efficiently.
   
   # Solution
   We developed a strategy to distribute total number of files across multiple 
number of Indexing threads, so that these threads work independently and 
parallelly.
   
   # Tests
   
   We mainly modified existing getNextDocData(), which is not altering  
functionality, hence not added any new test cases.
   
   - Passed existing tests
   
   # Checklist
   
   Please review the following and check all that apply:
   
   - [x] I have reviewed the guidelines for [How to 
Contribute](https://wiki.apache.org/solr/HowToContribute) and my code conforms 
to the standards described there to the best of my ability.
      [ ] I have created a Jira issue and added the issue ID to my pull request 
title.
    - [x] I have given Solr maintainers 
[access](https://help.github.com/en/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork)
 to contribute to my PR branch. (optional but recommended)
   - [x] I have developed this patch against the `master` branch.
   - [x] I have run `./gradlew check`.
     [ ] I have added tests for my changes.
     [ ] I have added documentation for the [Ref 
Guide](https://github.com/apache/lucene-solr/tree/master/solr/solr-ref-guide) 
(for Solr changes only).
   


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