>From RDD.scala :
def ++(other: RDD[T]): RDD[T] = withScope {
this.union(other)
They should be the same.
On Tue, Dec 29, 2015 at 10:41 AM, email2...@gmail.com <email2...@gmail.com>
wrote:
> Hello All -
>
> tried couple of operations by using ++ and union on RDD's but realized that
> the end results are same. Do you know any differences?.
>
> val odd_partA = List(1,3,5,7,9,11,1,3,5,7,9,11,1,3,5,7,9,11)
> odd_partA: List[Int] = List(1, 3, 5, 7, 9, 11, 1, 3, 5, 7, 9, 11, 1, 3, 5,
> 7, 9, 11)
>
> val odd_partB = List(1,3,13,15,9)
> odd_partB: List[Int] = List(1, 3, 13, 15, 9)
>
> val odd_partC = List(15,9,1,3,13)
> odd_partC: List[Int] = List(15, 9, 1, 3, 13)
>
> val odd_partA_RDD = sc.parallelize(odd_partA)
> odd_partA_RDD: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[9] at
> parallelize at <console>:17
>
> val odd_partB_RDD = sc.parallelize(odd_partB)
> odd_partB_RDD: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[10] at
> parallelize at <console>:17
>
> val odd_partC_RDD = sc.parallelize(odd_partC)
> odd_partC_RDD: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[11] at
> parallelize at <console>:17
>
> val odd_PARTAB_pp = odd_partA_RDD ++(odd_partB_RDD)
> odd_PARTAB_pp: org.apache.spark.rdd.RDD[Int] = UnionRDD[12] at $plus$plus
> at
> <console>:23
>
> val odd_PARTAB_union = odd_partA_RDD.union(odd_partB_RDD)
> odd_PARTAB_union: org.apache.spark.rdd.RDD[Int] = UnionRDD[13] at union at
> <console>:23
>
> odd_PARTAB_pp.count
> res8: Long = 23
>
> odd_PARTAB_union.count
> res9: Long = 23
>
> val odd_PARTABC_pp = odd_partA_RDD ++(odd_partB_RDD) ++ (odd_partC_RDD)
> odd_PARTABC_pp: org.apache.spark.rdd.RDD[Int] = UnionRDD[15] at $plus$plus
> at <console>:27
>
> val odd_PARTABC_union =
> odd_partA_RDD.union(odd_partB_RDD).union(odd_partC_RDD)
> odd_PARTABC_union: org.apache.spark.rdd.RDD[Int] = UnionRDD[17] at union at
> <console>:27
>
> odd_PARTABC_pp.count
> res10: Long = 28
>
> odd_PARTABC_union.count
> res11: Long = 28
>
> Thanks
> Gokul
>
>
>
> --
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