org.apache.spark.sql.execution.rowFormatConverters.scala Maven / Gradle / Ivy
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* (the "License"); you may not use this file except in compliance with
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.spark.sql.execution
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.physical.Partitioning
import org.apache.spark.sql.catalyst.rules.Rule
/**
* Converts Java-object-based rows into [[UnsafeRow]]s.
*/
case class ConvertToUnsafe(child: SparkPlan) extends UnaryNode {
override def output: Seq[Attribute] = child.output
override def outputPartitioning: Partitioning = child.outputPartitioning
override def outputOrdering: Seq[SortOrder] = child.outputOrdering
override def outputsUnsafeRows: Boolean = true
override def canProcessUnsafeRows: Boolean = false
override def canProcessSafeRows: Boolean = true
override protected def doExecute(): RDD[InternalRow] = {
child.execute().mapPartitions { iter =>
val convertToUnsafe = UnsafeProjection.create(child.schema)
iter.map(convertToUnsafe)
}
}
}
/**
* Converts [[UnsafeRow]]s back into Java-object-based rows.
*/
case class ConvertToSafe(child: SparkPlan) extends UnaryNode {
override def output: Seq[Attribute] = child.output
override def outputPartitioning: Partitioning = child.outputPartitioning
override def outputOrdering: Seq[SortOrder] = child.outputOrdering
override def outputsUnsafeRows: Boolean = false
override def canProcessUnsafeRows: Boolean = true
override def canProcessSafeRows: Boolean = false
override protected def doExecute(): RDD[InternalRow] = {
child.execute().mapPartitions { iter =>
val convertToSafe = FromUnsafeProjection(child.output.map(_.dataType))
iter.map(convertToSafe)
}
}
}
private[sql] object EnsureRowFormats extends Rule[SparkPlan] {
private def onlyHandlesSafeRows(operator: SparkPlan): Boolean =
operator.canProcessSafeRows && !operator.canProcessUnsafeRows
private def onlyHandlesUnsafeRows(operator: SparkPlan): Boolean =
operator.canProcessUnsafeRows && !operator.canProcessSafeRows
private def handlesBothSafeAndUnsafeRows(operator: SparkPlan): Boolean =
operator.canProcessSafeRows && operator.canProcessUnsafeRows
override def apply(operator: SparkPlan): SparkPlan = operator.transformUp {
case operator: SparkPlan if onlyHandlesSafeRows(operator) =>
if (operator.children.exists(_.outputsUnsafeRows)) {
operator.withNewChildren {
operator.children.map {
c => if (c.outputsUnsafeRows) ConvertToSafe(c) else c
}
}
} else {
operator
}
case operator: SparkPlan if onlyHandlesUnsafeRows(operator) =>
if (operator.children.exists(!_.outputsUnsafeRows)) {
operator.withNewChildren {
operator.children.map {
c => if (!c.outputsUnsafeRows) ConvertToUnsafe(c) else c
}
}
} else {
operator
}
case operator: SparkPlan if handlesBothSafeAndUnsafeRows(operator) =>
if (operator.children.map(_.outputsUnsafeRows).toSet.size != 1) {
// If this operator's children produce both unsafe and safe rows,
// convert everything unsafe rows.
operator.withNewChildren {
operator.children.map {
c => if (!c.outputsUnsafeRows) ConvertToUnsafe(c) else c
}
}
} else {
operator
}
}
}
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