Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/18991
Hi, @gatorsmile , @cloud-fan, @rxin , and @omalley .
#19060 shows that the behavior of Apache ORC 1.4.0 predicate push-down is
correct. #19060 will add more test cases for data source certification.
Especially, if you want me to add more test cases on ORC predicate push-down,
please let me know.
So, back to the original this issue, I'm not aware of the old case which
old ORC incorrectly filters out the extra rows, but new Apache ORC 1.4.0 looks
ready for this now. Can we turn on ORC predicate push-down by default in Apache
Spark?
Enabling by default will give more opportunity for users to test it before
Apache Spark 2.3.0 (on December). I'm sure that Apache ORC community will help
us to ensure this feature and to get benefits from this feature.
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