### What changes were proposed in this pull request?
UnionRDD of PairRDDs causing a bug. The fix is to check for instance type before proceeding
### Why are the changes needed?
Changes are needed to avoid users running into issues with union rdd operation with any other type other than JavaRDD.
### Does this PR introduce _any_ user-facing change?
Yes
Before:
SparkSession available as 'spark'.
>>> rdd1 = sc.parallelize([1,2,3,4,5])
>>> rdd2 = sc.parallelize([6,7,8,9,10])
>>> pairRDD1 = rdd1.zip(rdd2)
>>> unionRDD1 = sc.union([pairRDD1, pairRDD1])
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/gs/spark/latest/python/pyspark/context.py", line 870,
in union jrdds[i] = rdds[i]._jrdd
File "/home/gs/spark/latest/python/lib/py4j-0.10.9-src.zip/py4j/java_collections.py", line 238, in setitem File "/home/gs/spark/latest/python/lib/py4j-0.10.9-src.zip/py4j/java_collections.py", line 221,
in __set_item File "/home/gs/spark/latest/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 332, in get_return_value py4j.protocol.Py4JError: An error occurred while calling None.None. Trace: py4j.Py4JException: Cannot convert org.apache.spark.api.java.JavaPairRDD to org.apache.spark.api.java.JavaRDD at py4j.commands.ArrayCommand.convertArgument(ArrayCommand.java:166) at py4j.commands.ArrayCommand.setArray(ArrayCommand.java:144) at py4j.commands.ArrayCommand.execute(ArrayCommand.java:97) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748)
After:
>>> rdd2 = sc.parallelize([6,7,8,9,10])
>>> pairRDD1 = rdd1.zip(rdd2)
>>> unionRDD1 = sc.union([pairRDD1, pairRDD1])
>>> unionRDD1.collect()
[(1, 6), (2, 7), (3, 8), (4, 9), (5, 10), (1, 6), (2, 7), (3, 8), (4, 9), (5, 10)]
### How was this patch tested?
Tested with the reproduced piece of code above manually
Closes#28603 from redsanket/SPARK-31788.
Authored-by: schintap <schintap@verizonmedia.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
a61911c50c