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https://issues.apache.org/jira/browse/SPARK-31788?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17113566#comment-17113566
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Sanket Reddy commented on SPARK-31788:
--------------------------------------

[https://git.ouroath.com/hadoop/spark/commit/f83fedc9f20869ab4c62bb07bac50113d921207f]
 looks like it does not check for PairRDD type in pyspark

> Error when creating UnionRDD of PairRDDs
> ----------------------------------------
>
>                 Key: SPARK-31788
>                 URL: https://issues.apache.org/jira/browse/SPARK-31788
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 3.0.0, 3.0.1
>            Reporter: Sanket Reddy
>            Priority: Major
>
> Union RDD of Pair RDD's seems to have issues
> 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)
> >>> rdd3 = sc.parallelize([11,12,13,14,15])
> >>> pairRDD2 = rdd3.zip(rdd3)
> >>> unionRDD2 = sc.union([pairRDD1, pairRDD2])
> 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)
> >>> rdd4 = sc.parallelize(range(5))
> >>> pairRDD3 = rdd4.zip(rdd4)
> >>> unionRDD3 = sc.union([pairRDD1, pairRDD3])
> >>> unionRDD3.collect() [(1, 6), (2, 7), (3, 8), (4, 9), (5, 10), (0, 0), (1, 
> >>> 1), (2, 2), (3, 3), (4, 4)]
>  
> 2.4.5 does not have this regression



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