Joining two RDDs column in Apache Spark

Question

This is the already asked question but I could not understand the answers properly.

I have two RDDs with same number of columns and same number of records

RDD1(col1,col2,col3)

and

RDD2(colA,colB,colC)

I need to join them as following :

RDD_FINAL(col1,col2,col3,colA,colB,colC)

There is no key to perform a join between records but they are in order which means the first record of RDD1 is corresponded to first record of RDD2.

Answer 1

您可以使用zipWithIndex方法将行的索引添加为两个 RDD 的键，并通过键连接它。

Answer 2

Adding code snippet for Alfilercio's example.

JavaRDD<col1,col2,col3> rdd1 = ...
JavaPairRDD<Long, Tuple3<col1,col2,col3>> pairRdd1 = rdd1.zipWithUniqueId().mapToPair(pair -> new Tuple2<>(pair._2(),pair._1());

JavaRDD<colA,colB,colC> rdd2 = ...
JavaPairRDD<Long, Tuple3<colA,colB,colC>> pairRdd2 = rdd2.zipWithUniqueId().mapToPair(pair -> new Tuple2<>(pair._2(),pair._1());

JavaRDD<Tuple2<Tuple3<col1, col2, col3>, Tuple3<colA,colB,colC>>> mappedRdd = pairRdd1.join(pairRdd2).map(pair -> pair._2());