Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/15567#discussion_r84340783
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GeneratePredicate.scala
---
@@ -25,19 +25,26 @@ import org.apache.spark.sql.catalyst.expressions._
*/
abstract class Predicate {
def eval(r: InternalRow): Boolean
+
+ /**
+ * Initialize internal states given the current partition index.
+ * This is used by non-deterministic expressions to set initial states.
+ * The default implementation does nothing.
+ */
+ def initializeStatesForPartition(partitionIndex: Int): Unit = {}
--- End diff --
I don't think so, since it is in the interpreted path which is already very
slow. Also in the normal case the condition will always be false, so CPU branch
prediction should work its magic.
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