/*
* 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 io.crate.types.DataType;
import io.crate.types.DataTypes;
import java.util.List;
public class GroupingProjector implements Projector {
private final GroupingCollector<Object> collector;
private final int numCols;
public GroupingProjector(List<? extends DataType> keyTypes,
List<Input<?>> keyInputs,
CollectExpression<Row, ?>[] collectExpressions,
AggregateMode mode,
AggregationContext[] aggregations,
RamAccountingContext ramAccountingContext) {
assert keyTypes.size() == keyInputs.size() : "number of key types must match with number of key inputs";
assert allTypesKnown(keyTypes) : "must have a known type for each key input";
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();
}
if (keyInputs.size() == 1) {
collector = GroupingCollector.singleKey(
collectExpressions,
mode,
functions,
inputs,
ramAccountingContext,
keyInputs.get(0),
keyTypes.get(0)
);
} else {
//noinspection unchecked
collector = (GroupingCollector<Object>) (GroupingCollector) GroupingCollector.manyKeys(
collectExpressions,
mode,
functions,
inputs,
ramAccountingContext,
keyInputs,
keyTypes
);
}
numCols = keyInputs.size() + functions.length;
}
private static boolean allTypesKnown(List<? extends DataType> keyTypes) {
return keyTypes.stream().noneMatch(input -> input.equals(DataTypes.UNDEFINED));
}
@Override
public BatchIterator apply(BatchIterator batchIterator) {
return CollectingBatchIterator.newInstance(batchIterator, collector, numCols);
}
@Override
public boolean providesIndependentScroll() {
return true;
}
}