/* * 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; } }