Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10278#issuecomment-165320679
Yeah, you can say that.
For example, the original filter is ```not (a = 2 and b in ('1', '2'))```.
However, Spark 1.5.2 only pushes down ```not (a = 2)```. Thus, the returned
data from Parquet is incomplete and thus data loss happens.
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