-
Notifications
You must be signed in to change notification settings - Fork 28.5k
[SPARK-27033][SQL]Add Optimize rule RewriteArithmeticFiltersOnIntegralColumn #23942
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Changes from all commits
45b6f58
aaf2b8a
82ff2a1
597d6d7
03c522e
0f61953
5d0a5e8
3927dec
2c02777
43892ac
File filter
Filter by extension
Conversations
Jump to
Diff view
Diff view
There are no files selected for viewing
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,158 @@ | ||
/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
|
||
package org.apache.spark.sql.catalyst.optimizer | ||
|
||
import org.apache.spark.sql.catalyst.expressions._ | ||
import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan} | ||
import org.apache.spark.sql.catalyst.rules.Rule | ||
import org.apache.spark.sql.types._ | ||
|
||
/** | ||
* Rewrite arithmetic filters on an integral-type (e.g., byte, short, int and long) | ||
* column to its equivalent form, leaving attribute alone in a left side, so that | ||
* we can push it down to datasources (e.g., Parquet and ORC). | ||
* | ||
* For example, this rule can optimize a query as follows: | ||
* {{{ | ||
* SELECT * FROM table WHERE i + 3 = 5 | ||
* ==> SELECT * FROM table WHERE i = 5 - 3 | ||
* }}} | ||
* | ||
* Then, the [[ConstantFolding]] rule will further optimize it as follows: | ||
* {{{ | ||
* SELECT * FROM table WHERE i = 2 | ||
* }}} | ||
* | ||
* Note: | ||
* 1. This rule supports `Add` and `Subtract` in arithmetic expressions. | ||
* 2. This rule supports `=` and `!=` in comparators. For `>`, `>=`, `<`, `<=`, | ||
* it may brings inconsistencies after rewrite. | ||
* 3. This rule supports integral-type (`byte`, `short`, `int`, `long`) only. | ||
* It doesn't support `float` or `double` because of precision issues. | ||
*/ | ||
object RewriteArithmeticFiltersOnIntegralColumn extends Rule[LogicalPlan] with PredicateHelper { | ||
def apply(plan: LogicalPlan): LogicalPlan = plan transform { | ||
case f: Filter => | ||
f transformExpressionsUp { | ||
case e @ EqualTo(left: BinaryArithmetic, right: Expression) | ||
if right.foldable && isDataTypeSafe(left.dataType) => | ||
transformLeft(e, left, right) | ||
case e @ EqualTo(left: Expression, right: BinaryArithmetic) | ||
if left.foldable && isDataTypeSafe(right.dataType) => | ||
transformRight(e, left, right) | ||
} | ||
} | ||
|
||
private def transformLeft( | ||
bc: EqualTo, | ||
left: BinaryArithmetic, | ||
right: Expression): Expression = { | ||
left match { | ||
case Add(ar: AttributeReference, e) if e.foldable && isOptSafe(Subtract(right, e)) => | ||
bc.makeCopy(Array(ar, Subtract(right, e))) | ||
case Add(e, ar: AttributeReference) if e.foldable && isOptSafe(Subtract(right, e)) => | ||
bc.makeCopy(Array(ar, Subtract(right, e))) | ||
case Subtract(ar: AttributeReference, e) if e.foldable && isOptSafe(Add(right, e)) => | ||
bc.makeCopy(Array(ar, Add(right, e))) | ||
case Subtract(e, ar: AttributeReference) if e.foldable && isOptSafe(Subtract(e, right)) => | ||
bc.makeCopy(Array(Subtract(e, right), ar)) | ||
case _ => bc | ||
} | ||
} | ||
|
||
private def transformRight( | ||
bc: EqualTo, | ||
left: Expression, | ||
right: BinaryArithmetic): Expression = { | ||
right match { | ||
case Add(ar: AttributeReference, e) if e.foldable && isOptSafe(Subtract(left, e)) => | ||
bc.makeCopy(Array(Subtract(left, e), ar)) | ||
case Add(e, ar: AttributeReference) if e.foldable && isOptSafe(Subtract(left, e)) => | ||
bc.makeCopy(Array(Subtract(left, e), ar)) | ||
case Subtract(ar: AttributeReference, e) if e.foldable && isOptSafe(Add(left, e)) => | ||
bc.makeCopy(Array(Add(left, e), ar)) | ||
case Subtract(e, ar: AttributeReference) if e.foldable && isOptSafe(Subtract(e, left)) => | ||
bc.makeCopy(Array(ar, Subtract(e, left))) | ||
case _ => bc | ||
} | ||
} | ||
|
||
private def isDataTypeSafe(dataType: DataType): Boolean = dataType match { | ||
case ByteType | ShortType | IntegerType | LongType => true | ||
case _ => false | ||
} | ||
|
||
private def isOptSafe(e: BinaryArithmetic): Boolean = { | ||
val leftVal = e.left.eval(EmptyRow) | ||
val rightVal = e.right.eval(EmptyRow) | ||
|
||
e match { | ||
case Add(_, _) => | ||
e.dataType match { | ||
case ByteType => | ||
isAddSafe(leftVal, rightVal, Byte.MinValue, Byte.MaxValue) | ||
case ShortType => | ||
isAddSafe(leftVal, rightVal, Short.MinValue, Short.MaxValue) | ||
case IntegerType => | ||
isAddSafe(leftVal, rightVal, Int.MinValue, Int.MaxValue) | ||
case LongType => | ||
isAddSafe(leftVal, rightVal, Long.MinValue, Long.MaxValue) | ||
case _ => false | ||
} | ||
|
||
case Subtract(_, _) => | ||
e.dataType match { | ||
case ByteType => | ||
isSubtractSafe(leftVal, rightVal, Byte.MinValue, Byte.MaxValue) | ||
case ShortType => | ||
isSubtractSafe(leftVal, rightVal, Short.MinValue, Short.MaxValue) | ||
case IntegerType => | ||
isSubtractSafe(leftVal, rightVal, Int.MinValue, Int.MaxValue) | ||
case LongType => | ||
isSubtractSafe(leftVal, rightVal, Long.MinValue, Long.MaxValue) | ||
case _ => false | ||
} | ||
|
||
case _ => false | ||
} | ||
} | ||
|
||
private def isAddSafe[T](left: Any, right: Any, minValue: T, maxValue: T)( | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I don't see the need for this and the next. As of now, we are not handling overflows with integers (you can see #21599 is still open). So I think we can get rid of these checks. It may be worth, though, to add a comment (like a TODO) in order to remind that this issue can arise There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. With some cases, it doesn't necessarily cause overflow if we don't rewrite it. So there's potential inconsistency again. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The check here is to make sure if overflow may occur after rewrite, it will not rewrite this expression. |
||
implicit num: Numeric[T]): Boolean = { | ||
import num._ | ||
val leftVal = left.asInstanceOf[T] | ||
val rightVal = right.asInstanceOf[T] | ||
if (rightVal > zero) { | ||
leftVal <= maxValue - rightVal | ||
} else { | ||
leftVal >= minValue - rightVal | ||
} | ||
} | ||
|
||
private def isSubtractSafe[T](left: Any, right: Any, minValue: T, maxValue: T)( | ||
implicit num: Numeric[T]): Boolean = { | ||
import num._ | ||
val leftVal = left.asInstanceOf[T] | ||
val rightVal = right.asInstanceOf[T] | ||
if (rightVal > zero) { | ||
leftVal >= minValue + rightVal | ||
} else { | ||
leftVal <= maxValue + rightVal | ||
} | ||
} | ||
} |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
cc @liancheng per #8165