Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/13893#discussion_r68557086
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/PruningSuite.scala
---
@@ -141,6 +141,14 @@ class PruningSuite extends HiveComparisonTest with
BeforeAndAfter {
Seq("2008-04-08", "11"),
Seq("2008-04-09", "11")))
+ createPruningTest("Partition pruning - with nondeterministic fields",
+ "SELECT value, hr FROM srcpart1 WHERE ds = '2008-04-08' AND rand(7) <
1",
--- End diff --
Yes you are right. I thought the deterministic part can always be PPDed
safely but it was not, in fact, the order of each part should also be
considered. For example:
rand() < 0.01 AND partition_col = 'some_value'
should not be PPDed, but
partition_col = 'some_value' AND rand() < 0.01
still could be.
Thank you for your kindly reply!
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