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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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