org.apache.flink.table.runtime.aggregate.DataSetPreAggFunction.scala Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of flink-table-planner_2.11 Show documentation
Show all versions of flink-table-planner_2.11 Show documentation
This module bridges Table/SQL API and runtime. It contains
all resources that are required during pre-flight and runtime
phase.
The newest version!
/*
* 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.flink.table.runtime.aggregate
import java.lang.Iterable
import org.apache.flink.api.common.functions._
import org.apache.flink.configuration.Configuration
import org.apache.flink.table.codegen.{Compiler, GeneratedAggregationsFunction}
import org.apache.flink.table.util.Logging
import org.apache.flink.types.Row
import org.apache.flink.util.Collector
/**
* [[GroupCombineFunction]] and [[MapPartitionFunction]] to compute pre-aggregates for batch
* (DataSet) queries.
*
* @param genAggregations Code-generated [[GeneratedAggregations]]
*/
class DataSetPreAggFunction(genAggregations: GeneratedAggregationsFunction)
extends AbstractRichFunction
with GroupCombineFunction[Row, Row]
with MapPartitionFunction[Row, Row]
with Compiler[GeneratedAggregations]
with Logging {
private var output: Row = _
private var accumulators: Row = _
private var function: GeneratedAggregations = _
override def open(config: Configuration) {
LOG.debug(s"Compiling AggregateHelper: $genAggregations.name \n\n " +
s"Code:\n$genAggregations.code")
val clazz = compile(
getRuntimeContext.getUserCodeClassLoader,
genAggregations.name,
genAggregations.code)
LOG.debug("Instantiating AggregateHelper.")
function = clazz.newInstance()
output = function.createOutputRow()
accumulators = function.createAccumulators()
}
override def combine(values: Iterable[Row], out: Collector[Row]): Unit = {
// reset accumulators
function.resetAccumulator(accumulators)
val iterator = values.iterator()
var record: Row = null
while (iterator.hasNext) {
record = iterator.next()
// accumulate
function.accumulate(accumulators, record)
}
// set group keys and accumulators to output
function.setAggregationResults(accumulators, output)
function.setForwardedFields(record, output)
out.collect(output)
}
override def mapPartition(values: Iterable[Row], out: Collector[Row]): Unit = {
combine(values, out)
}
}