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10-10-2018
11:02 AM
@Robert Cornell We have a similar issue with joining, even after bucketing and presorting of both tables it still throws to us this kind of behavior(in theory it simply should zip both dataframes without any additional operations). Only one difference is we use Spark SQL and outer join instead of RDD, but the symptoms look quite similar. Did you manage to fix it?
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