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/*
* 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.execution.aggregate
import org.apache.spark.api.java.function.MapFunction
import org.apache.spark.sql.{Encoder, TypedColumn}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.expressions.Aggregator
////////////////////////////////////////////////////////////////////////////////////////////////////
// This file defines internal implementations for aggregators.
////////////////////////////////////////////////////////////////////////////////////////////////////
class TypedSumDouble[IN](f: IN => Double) extends Aggregator[IN, Double, Double] {
override def zero: Double = 0.0
override def reduce(b: Double, a: IN): Double = b + f(a)
override def merge(b1: Double, b2: Double): Double = b1 + b2
override def finish(reduction: Double): Double = reduction
override def bufferEncoder: Encoder[Double] = ExpressionEncoder[Double]()
override def outputEncoder: Encoder[Double] = ExpressionEncoder[Double]()
// Java api support
def this(f: MapFunction[IN, java.lang.Double]) = this(x => f.call(x).asInstanceOf[Double])
def toColumnJava: TypedColumn[IN, java.lang.Double] = {
toColumn.asInstanceOf[TypedColumn[IN, java.lang.Double]]
}
}
class TypedSumLong[IN](f: IN => Long) extends Aggregator[IN, Long, Long] {
override def zero: Long = 0L
override def reduce(b: Long, a: IN): Long = b + f(a)
override def merge(b1: Long, b2: Long): Long = b1 + b2
override def finish(reduction: Long): Long = reduction
override def bufferEncoder: Encoder[Long] = ExpressionEncoder[Long]()
override def outputEncoder: Encoder[Long] = ExpressionEncoder[Long]()
// Java api support
def this(f: MapFunction[IN, java.lang.Long]) = this(x => f.call(x).asInstanceOf[Long])
def toColumnJava: TypedColumn[IN, java.lang.Long] = {
toColumn.asInstanceOf[TypedColumn[IN, java.lang.Long]]
}
}
class TypedCount[IN](f: IN => Any) extends Aggregator[IN, Long, Long] {
override def zero: Long = 0
override def reduce(b: Long, a: IN): Long = {
if (f(a) == null) b else b + 1
}
override def merge(b1: Long, b2: Long): Long = b1 + b2
override def finish(reduction: Long): Long = reduction
override def bufferEncoder: Encoder[Long] = ExpressionEncoder[Long]()
override def outputEncoder: Encoder[Long] = ExpressionEncoder[Long]()
// Java api support
def this(f: MapFunction[IN, Object]) = this(x => f.call(x))
def toColumnJava: TypedColumn[IN, java.lang.Long] = {
toColumn.asInstanceOf[TypedColumn[IN, java.lang.Long]]
}
}
class TypedAverage[IN](f: IN => Double) extends Aggregator[IN, (Double, Long), Double] {
override def zero: (Double, Long) = (0.0, 0L)
override def reduce(b: (Double, Long), a: IN): (Double, Long) = (f(a) + b._1, 1 + b._2)
override def finish(reduction: (Double, Long)): Double = reduction._1 / reduction._2
override def merge(b1: (Double, Long), b2: (Double, Long)): (Double, Long) = {
(b1._1 + b2._1, b1._2 + b2._2)
}
override def bufferEncoder: Encoder[(Double, Long)] = ExpressionEncoder[(Double, Long)]()
override def outputEncoder: Encoder[Double] = ExpressionEncoder[Double]()
// Java api support
def this(f: MapFunction[IN, java.lang.Double]) = this(x => f.call(x).asInstanceOf[Double])
def toColumnJava: TypedColumn[IN, java.lang.Double] = {
toColumn.asInstanceOf[TypedColumn[IN, java.lang.Double]]
}
}
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