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A Speedment bundle that shades all dependencies into one jar. This is
useful when deploying an application on a server.
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/*
*
* Copyright (c) 2006-2019, Speedment, Inc. All Rights Reserved.
*
* Licensed 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 com.speedment.runtime.core.stream.parallel;
import com.speedment.runtime.core.internal.stream.parallel.ComputeIntensityExtremeParallelStrategy;
import com.speedment.runtime.core.internal.stream.parallel.ComputeIntensityHighParallelStrategy;
import com.speedment.runtime.core.internal.stream.parallel.ComputeIntensityMediumParallelStrategy;
import java.util.Iterator;
import java.util.Spliterator;
import java.util.Spliterators;
/**
*
* @author Per Minborg
*/
@FunctionalInterface
public interface ParallelStrategy {
/**
* A Parallel Strategy that is Java's default Iterator
to
* Spliterator
converter. It favors relatively large sets (in
* the ten thousands or more) with low computational overhead.
*
* @return a ParallelStrategy
*/
static ParallelStrategy computeIntensityDefault() {
return Hidden.COMPUTE_INTENSITY_DEFAULT;
}
/**
* A Parallel Strategy that favors relatively small to medium sets with
* medium computational overhead.
*
* @return a ParallelStrategy
*/
static ParallelStrategy computeIntensityMedium() {
return Hidden.COMPUTE_INTENSITY_MEDIUM;
}
/**
* A Parallel Strategy that favors relatively small to medium sets with high
* computational overhead.
*
* @return a ParallelStrategy
*/
static ParallelStrategy computeIntensityHigh() {
return Hidden.COMPUTE_INTENSITY_HIGH;
}
/**
* A Parallel Strategy that favors small sets with extremely high
* computational overhead. The set will be split up in solitary elements
* that are executed separately in their own thread.
*
* @return a ParallelStrategy
*/
static ParallelStrategy computeIntensityExtreme() {
return Hidden.COMPUTE_INTENSITY_EXTREME;
}
Spliterator spliteratorUnknownSize(Iterator iterator, int characteristics);
static ParallelStrategy of(final int... batchSizes) {
return new ParallelStrategy() {
@Override
public Spliterator spliteratorUnknownSize(Iterator iterator, int characteristics) {
return ConfigurableIteratorSpliterator.of(iterator, characteristics, batchSizes);
}
};
}
class Hidden {
private static final ParallelStrategy COMPUTE_INTENSITY_DEFAULT = Spliterators::spliteratorUnknownSize;
private static final ParallelStrategy COMPUTE_INTENSITY_MEDIUM = new ComputeIntensityMediumParallelStrategy();
private static final ParallelStrategy COMPUTE_INTENSITY_HIGH = new ComputeIntensityHighParallelStrategy();
private static final ParallelStrategy COMPUTE_INTENSITY_EXTREME = new ComputeIntensityExtremeParallelStrategy();
}
}