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https://issues.apache.org/jira/browse/SPARK-20394?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16081318#comment-16081318
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Marcelo Vanzin commented on SPARK-20394:
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Have you tried setting the replication to 1 in your {{hdfs-site.xml}}?
IIRC Spark 1.6 doesn't propagate the HiveContext configuration to the Hive
library in some cases.
> Replication factor value Not changing properly
> ----------------------------------------------
>
> Key: SPARK-20394
> URL: https://issues.apache.org/jira/browse/SPARK-20394
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Submit
> Affects Versions: 1.6.0
> Reporter: Kannan Subramanian
>
> To save SparkSQL dataframe to a persistent hive table using the below steps.
> a) RegisterTempTable to the dataframe as a tempTable
> b) create table <table name> (cols....)PartitionedBy(col1, col2) stored as
> parquet
> c) Insert into <table name> partition(col1, col2) select * from tempTable
> I have set dfs.replication is equal to "1" in hiveContext object. But It did
> not work properly. That is replica is 1 for 80 % of the generated parquet
> files on HDFS and default replica 3 is for remaining 20 % of parquet files in
> HDFS. I am not sure why the replica is not reflecting to all the generated
> parquet files. Please let me know if you have any suggestions or solutions
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