org.apache.comet.shims.ShimQueryPlanSerde.scala Maven / Gradle / Ivy
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* 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
*
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*/
package org.apache.comet.shims
import org.apache.spark.sql.catalyst.expressions.BinaryArithmetic
import org.apache.spark.sql.catalyst.expressions.aggregate.DeclarativeAggregate
trait ShimQueryPlanSerde {
def getFailOnError(b: BinaryArithmetic): Boolean =
b.getClass.getMethod("failOnError").invoke(b).asInstanceOf[Boolean]
def getFailOnError(aggregate: DeclarativeAggregate): Boolean = {
val failOnError = aggregate.getClass.getDeclaredMethods.flatMap(m =>
m.getName match {
case "failOnError" | "useAnsiAdd" => Some(m.invoke(aggregate).asInstanceOf[Boolean])
case _ => None
})
if (failOnError.isEmpty) {
aggregate.getClass.getDeclaredMethods
.flatMap(m =>
m.getName match {
case "initQueryContext" => Some(m.invoke(aggregate).asInstanceOf[Option[_]].isDefined)
case _ => None
})
.head
} else {
failOnError.head
}
}
// TODO: delete after drop Spark 3.3 support
// This method is used to check if the aggregate function is in legacy mode.
// EvalMode is an enum object in Spark 3.4.
def isLegacyMode(aggregate: DeclarativeAggregate): Boolean = {
val evalMode = aggregate.getClass.getDeclaredMethods
.flatMap(m =>
m.getName match {
case "evalMode" => Some(m.invoke(aggregate))
case _ => None
})
if (evalMode.isEmpty) {
true
} else {
"legacy".equalsIgnoreCase(evalMode.head.toString)
}
}
}