SaveAsTable changes the order of rows

[Kevin Jung <it...@samsung.com>]

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.


Kevin




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