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From Kevin Jung <>
Subject SaveAsTable changes the order of rows
Date Wed, 19 Aug 2015 06:03:15 GMT
I have a simple RDD with Key/Value and do

val partitioned = rdd.partitionBy(new HashPartitioner(400))
val row = partitioned.first

I can get a key "G2726" from a returned row. This first row is located on a partition #0 because
"G2726".hashCode is 67114000 and 67114000%400 is 0. But the order of keys is changed when
I save rdd to table by doing saveAsTable. After doing this and calling sqlContext.table, a
key from a first row is "G265". Does DataFrame forget a parent's partitioner or Parquet format
always rearranges the order of original data? In my case, the order is not important but some
of users may want to keep their keys ordered.


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