/*
* Licensed to CRATE Technology GmbH ("Crate") under one or more contributor
* license agreements. See the NOTICE file distributed with this work for
* additional information regarding copyright ownership. Crate 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.
*
* However, if you have executed another commercial license agreement
* with Crate these terms will supersede the license and you may use the
* software solely pursuant to the terms of the relevant commercial agreement.
*/
package io.crate.operation.projectors;
import io.crate.analyze.symbol.AggregateMode;
import io.crate.breaker.RamAccountingContext;
import io.crate.data.*;
import io.crate.operation.AggregationContext;
import io.crate.operation.aggregation.AggregationFunction;
import io.crate.operation.collect.CollectExpression;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
public class AggregationPipe implements Projector {
private final AggregateCollector collector;
private final int numAggregations;
public AggregationPipe(List<CollectExpression<Row, ?>> expressions,
AggregateMode aggregateMode,
AggregationContext[] aggregations,
RamAccountingContext ramAccountingContext) {
numAggregations = aggregations.length;
AggregationFunction[] functions = new AggregationFunction[aggregations.length];
Input[][] inputs = new Input[aggregations.length][];
for (int i = 0; i < aggregations.length; i++) {
AggregationContext aggregation = aggregations[i];
functions[i] = aggregation.function();
inputs[i] = aggregation.inputs();
}
collector = new AggregateCollector(
expressions,
ramAccountingContext,
aggregateMode,
functions,
inputs
);
}
@Override
public BatchIterator apply(BatchIterator batchIterator) {
return CollectingBatchIterator.newInstance(batchIterator,
Collectors.collectingAndThen(
collector,
cells -> Collections.singletonList(new RowN(cells))),
numAggregations);
}
@Override
public boolean providesIndependentScroll() {
return true;
}
}