leewyang commented on pull request #28603:
URL: https://github.com/apache/spark/pull/28603#issuecomment-634257789


   @redsanket @HyukjinKwon I pulled the latest `branch-3.0` today (which 
includes this patch), but I'm now seeing the following weird behavior:
   ```
   >>> 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])
   >>> unionRDD1.collect()
   [((1, 6), (2, 7)), ((3, 8), (4, 9)), ((5, 10), (1, 6)), ((2, 7), (3, 8)), 
((4, 9), (5, 10))] 
   >>> unionRDD1.count()
   0 
   ```
   
   ... where Spark 2.4.5 produces:
   ```
   >>> unionRDD1.collect()
   [(1, 6), (2, 7), (3, 8), (4, 9), (5, 10), (1, 6), (2, 7), (3, 8), (4, 9), 
(5, 10)]
   >>> unionRDD1.count()
   10
   ```
   
   So, the output is incorrect/unexpected and the count is zero.


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