cloud-fan commented on code in PR #39722:
URL: https://github.com/apache/spark/pull/39722#discussion_r1092171113
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala:
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@@ -1335,3 +1335,70 @@ trait CommutativeExpression extends Expression {
f: PartialFunction[CommutativeExpression, Seq[Expression]]):
Seq[Expression] =
gatherCommutative(this, f).sortBy(_.hashCode())
}
+
+/**
+ * A helper class used by the Commutative expressions during canonicalization.
During
+ * canonicalization, when we have a long tree of commutative operations, we
use the MultiCommutative
+ * expression to represent that tree instead of creating new commutative
objects.
+ * This class is added as a memory optimization for processing large
commutative operation trees
+ * without creating a large number of new intermediate objects.
+ * The MultiCommutativeOp memory optimization is applied to the following
commutative
+ * expressions:
+ * Add, Multiply, And, Or, BitwiseAnd, BitwiseOr, BitwiseXor.
+ * @param operands A sequence of operands that produces a commutative
expression tree.
+ * @param evalMode The optional expression evaluation mode.
+ * @param originalRoot Root operator of the commutative expression tree before
canonicalization.
+ * This object reference is used to deduce the return
dataType of Add and
+ * Multiply operations when the input datatype is decimal.
+ */
+case class MultiCommutativeOp(
+ operands: Seq[Expression],
+ evalMode: Option[EvalMode.Value])(originalRoot: Expression) extends
Unevaluable {
Review Comment:
shall we add one more parameter `opCls: Class[_]`? Otherwise a bunch of
`Add` can be equal to a bunch of `Multiply`
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