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https://issues.apache.org/jira/browse/TINKERPOP-3133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17926194#comment-17926194
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ASF GitHub Bot commented on TINKERPOP-3133:
-------------------------------------------
andreachild commented on code in PR #3026:
URL: https://github.com/apache/tinkerpop/pull/3026#discussion_r1951657276
##########
spark-gremlin/src/main/java/org/apache/tinkerpop/gremlin/spark/structure/io/OutputFormatRDD.java:
##########
@@ -75,4 +77,17 @@ public <K, V> Iterator<KeyValue<K, V>> writeMemoryRDD(final
Configuration config
}
return Collections.emptyIterator();
}
-}
\ No newline at end of file
+
+ /**
+ * Allow users to customize the RDD partitions to reduce HDFS small files
+ */
+ private <K, V> JavaPairRDD<K, V> repartitionJavaPairRDD(final
org.apache.hadoop.conf.Configuration hadoopConfiguration, JavaPairRDD<K, V>
graphRDD) {
+ JavaPairRDD<K, V> javaPairRDD = graphRDD;
+ final String repartitionString =
hadoopConfiguration.get(Constants.GREMLIN_SPARK_OUTPUT_REPARTITION);
Review Comment:
Does `PersistedOutputRDD` also need to be aware of this configuration?
> 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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