-
Notifications
You must be signed in to change notification settings - Fork 153
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
4 changed files
with
93 additions
and
13 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
89 changes: 89 additions & 0 deletions
89
...fe/src/main/spark_3.4_3.5/scala/org.apache.spark/sql/catalyst/expressions/RandGamma.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,89 @@ | ||
| package org.apache.spark.sql.catalyst.expressions | ||
|
|
||
| import org.apache.commons.math3.distribution.GammaDistribution | ||
| import org.apache.spark.sql.catalyst.analysis.UnresolvedSeed | ||
| import org.apache.spark.sql.catalyst.InternalRow | ||
| import org.apache.spark.sql.catalyst.expressions.codegen.FalseLiteral | ||
| import org.apache.spark.sql.catalyst.expressions.codegen.Block.BlockHelper | ||
| import org.apache.spark.sql.catalyst.expressions.codegen.{CodeGenerator, CodegenContext, ExprCode} | ||
| import org.apache.spark.sql.types._ | ||
| import org.apache.spark.util.random.XORShiftRandomAdapted | ||
|
|
||
| case class RandGamma(child: Expression, shape: Expression, scale: Expression, hideSeed: Boolean = false) | ||
| extends TernaryExpression | ||
| with ExpectsInputTypes | ||
| with Nondeterministic | ||
| with ExpressionWithRandomSeed { | ||
|
|
||
| def seedExpression: Expression = child | ||
|
|
||
| @transient protected lazy val seed: Long = seedExpression match { | ||
| case e if e.dataType == IntegerType => e.eval().asInstanceOf[Int] | ||
| case e if e.dataType == LongType => e.eval().asInstanceOf[Long] | ||
| } | ||
|
|
||
| @transient protected lazy val shapeVal: Double = shape.dataType match { | ||
| case IntegerType => shape.eval().asInstanceOf[Int] | ||
| case LongType => shape.eval().asInstanceOf[Long] | ||
| case FloatType | DoubleType => shape.eval().asInstanceOf[Double] | ||
| } | ||
|
|
||
| @transient protected lazy val scaleVal: Double = scale.dataType match { | ||
| case IntegerType => scale.eval().asInstanceOf[Int] | ||
| case LongType => scale.eval().asInstanceOf[Long] | ||
| case FloatType | DoubleType => scale.eval().asInstanceOf[Double] | ||
| } | ||
|
|
||
| @transient private var distribution: GammaDistribution = _ | ||
|
|
||
| override protected def initializeInternal(partitionIndex: Int): Unit = { | ||
| distribution = new GammaDistribution(new XORShiftRandomAdapted(seed + partitionIndex), shapeVal, scaleVal) | ||
| } | ||
|
|
||
| def this() = this(UnresolvedSeed, Literal(1.0, DoubleType), Literal(1.0, DoubleType), true) | ||
|
|
||
| def this(child: Expression, shape: Expression, scale: Expression) = this(child, shape, scale, false) | ||
|
|
||
| def withNewSeed(seed: Long): RandGamma = RandGamma(Literal(seed, LongType), shape, scale, hideSeed) | ||
|
|
||
| protected def evalInternal(input: InternalRow): Double = distribution.sample() | ||
|
|
||
| def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = { | ||
| val distributionClassName = classOf[GammaDistribution].getName | ||
| val rngClassName = classOf[XORShiftRandomAdapted].getName | ||
| val disTerm = ctx.addMutableState(distributionClassName, "distribution") | ||
| ctx.addPartitionInitializationStatement( | ||
| s"$disTerm = new $distributionClassName(new $rngClassName(${seed}L + partitionIndex), $shapeVal, $scaleVal);" | ||
| ) | ||
| ev.copy(code = code""" | ||
| final ${CodeGenerator.javaType(dataType)} ${ev.value} = $disTerm.sample();""", isNull = FalseLiteral) | ||
| } | ||
|
|
||
| def freshCopy(): RandGamma = RandGamma(child, shape, scale, hideSeed) | ||
|
|
||
| override def flatArguments: Iterator[Any] = Iterator(child, shape, scale) | ||
|
|
||
| override def prettyName: String = "rand_gamma" | ||
|
|
||
| override def sql: String = s"rand_gamma(${if (hideSeed) "" else s"${child.sql}, ${shape.sql}, ${scale.sql}"})" | ||
|
|
||
| override def stateful: Boolean = true | ||
|
|
||
| def inputTypes: Seq[AbstractDataType] = Seq(LongType, DoubleType, DoubleType) | ||
|
|
||
| def dataType: DataType = DoubleType | ||
|
|
||
| def first: Expression = child | ||
|
|
||
| def second: Expression = shape | ||
|
|
||
| def third: Expression = scale | ||
|
|
||
| protected def withNewChildrenInternal(newFirst: Expression, newSecond: Expression, newThird: Expression): Expression = | ||
| copy(child = newFirst, shape = newSecond, scale = newThird) | ||
| } | ||
|
|
||
| object RandGamma { | ||
| def apply(seed: Long, shape: Double, scale: Double): RandGamma = | ||
| RandGamma(Literal(seed, LongType), Literal(shape, DoubleType), Literal(scale, DoubleType)) | ||
| } |