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https://issues.apache.org/jira/browse/TINKERPOP-3133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17925347#comment-17925347
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ASF GitHub Bot commented on TINKERPOP-3133:
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ministat opened a new pull request, #3026:
URL: https://github.com/apache/tinkerpop/pull/3026

   set the repartition number by, for example, 
'gremlin.spark.outputRepartition=500'. only integer values larger than 0 is 
valid input. Otherwise the repartition will be skipped silently.
   
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> Customize the file count by repartition the OutputRDD in Spark to reduce HDFS 
> small files
> -----------------------------------------------------------------------------------------
>
>                 Key: TINKERPOP-3133
>                 URL: https://issues.apache.org/jira/browse/TINKERPOP-3133
>             Project: TinkerPop
>          Issue Type: Improvement
>          Components: hadoop
>    Affects Versions: 3.7.3
>            Reporter: Redriver
>            Priority: Major
>
> The Graph export to HDFS through OutputRDD, but we often saw there are many 
> small files in production environment. For example, there are more than 
> 50,000 files and each is about 17 MB, which will trigger HDFS small files 
> alerts. So, it is better allow customize the output file numbers by 
> repartition the OutputRDD.



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