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[SPARK-39784][SQL] Put Literal values on the right side of the data source filter after translating Catalyst Expression to data source filter #37197

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Original file line number Diff line number Diff line change
Expand Up @@ -233,6 +233,10 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
val r = generateExpression(b.right)
if (l.isDefined && r.isDefined) {
b match {
case _: Predicate if isBinaryComparisonOperator(b.sqlOperator) &&
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nit: we can just use type check BinaryComparison

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Will submit a follow up to fix this. Thanks.

l.get.isInstanceOf[LiteralValue[_]] && r.get.isInstanceOf[FieldReference] =>
Some(new V2Predicate(flipComparisonOperatorName(b.sqlOperator),
Array[V2Expression](r.get, l.get)))
case _: Predicate =>
Some(new V2Predicate(b.sqlOperator, Array[V2Expression](l.get, r.get)))
case _ =>
Expand Down Expand Up @@ -408,6 +412,23 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
}
case _ => None
}

private def isBinaryComparisonOperator(operatorName: String): Boolean = {
operatorName match {
case ">" | "<" | ">=" | "<=" | "=" | "<=>" => true
case _ => false
}
}

private def flipComparisonOperatorName(operatorName: String): String = {
operatorName match {
case ">" => "<"
case "<" => ">"
case ">=" => "<="
case "<=" => ">="
case _ => operatorName
}
}
}

object ColumnOrField {
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -18,14 +18,77 @@
package org.apache.spark.sql.execution.datasources.v2

import org.apache.spark.sql.catalyst.dsl.expressions._
import org.apache.spark.sql.catalyst.expressions.Expression
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.PlanTest
import org.apache.spark.sql.connector.expressions.{FieldReference, LiteralValue}
import org.apache.spark.sql.connector.expressions.filter.Predicate
import org.apache.spark.sql.test.SharedSparkSession
import org.apache.spark.sql.types.BooleanType
import org.apache.spark.sql.types.{BooleanType, IntegerType, StringType, StructField, StructType}

class DataSourceV2StrategySuite extends PlanTest with SharedSparkSession {
val attrInts = Seq(
$"cint".int,
$"c.int".int,
GetStructField($"a".struct(StructType(
StructField("cstr", StringType, nullable = true) ::
StructField("cint", IntegerType, nullable = true) :: Nil)), 1, None),
GetStructField($"a".struct(StructType(
StructField("c.int", IntegerType, nullable = true) ::
StructField("cstr", StringType, nullable = true) :: Nil)), 0, None),
GetStructField($"a.b".struct(StructType(
StructField("cstr1", StringType, nullable = true) ::
StructField("cstr2", StringType, nullable = true) ::
StructField("cint", IntegerType, nullable = true) :: Nil)), 2, None),
GetStructField($"a.b".struct(StructType(
StructField("c.int", IntegerType, nullable = true) :: Nil)), 0, None),
GetStructField(GetStructField($"a".struct(StructType(
StructField("cstr1", StringType, nullable = true) ::
StructField("b", StructType(StructField("cint", IntegerType, nullable = true) ::
StructField("cstr2", StringType, nullable = true) :: Nil)) :: Nil)), 1, None), 0, None)
).zip(Seq(
"cint",
"`c.int`", // single level field that contains `dot` in name
"a.cint", // two level nested field
"a.`c.int`", // two level nested field, and nested level contains `dot`
"`a.b`.cint", // two level nested field, and top level contains `dot`
"`a.b`.`c.int`", // two level nested field, and both levels contain `dot`
"a.b.cint" // three level nested field
))

test("SPARK-39784: translate binary expression") { attrInts
.foreach { case (attrInt, intColName) =>
testTranslateFilter(EqualTo(attrInt, 1),
Some(new Predicate("=", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
testTranslateFilter(EqualTo(1, attrInt),
Some(new Predicate("=", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))

testTranslateFilter(EqualNullSafe(attrInt, 1),
Some(new Predicate("<=>", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
testTranslateFilter(EqualNullSafe(1, attrInt),
Some(new Predicate("<=>", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))

testTranslateFilter(GreaterThan(attrInt, 1),
Some(new Predicate(">", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
testTranslateFilter(GreaterThan(1, attrInt),
Some(new Predicate("<", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))

testTranslateFilter(LessThan(attrInt, 1),
Some(new Predicate("<", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
testTranslateFilter(LessThan(1, attrInt),
Some(new Predicate(">", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))

testTranslateFilter(GreaterThanOrEqual(attrInt, 1),
Some(new Predicate(">=", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
testTranslateFilter(GreaterThanOrEqual(1, attrInt),
Some(new Predicate("<=", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))

testTranslateFilter(LessThanOrEqual(attrInt, 1),
Some(new Predicate("<=", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
testTranslateFilter(LessThanOrEqual(1, attrInt),
Some(new Predicate(">=", Array(FieldReference(intColName), LiteralValue(1, IntegerType)))))
}
}

test("SPARK-36644: Push down boolean column filter") {
testTranslateFilter($"col".boolean,
Some(new Predicate("=", Array(FieldReference("col"), LiteralValue(true, BooleanType)))))
Expand Down