Hi, I have a production job that is registering four different dataframes as tables in pyspark 1.6.2 . when we upgraded to spark 2.0 only three of the four dataframes are getting registered. the fourth dataframe is not getting registered. There are no code changes whatsoever. The only change is the spark verion. When I revert the spark version to 1.6.2 the dataframe is getting registered properly. Did anyone face a similar issue? Is this a bug in spark 2.0 or is it just a compatibility issue?
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