/
Par2Task.java
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/
Par2Task.java
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/*
* Copyright 2015 LinkedIn, Inc
*
* 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.linkedin.parseq;
import static com.linkedin.parseq.function.Tuples.tuple;
import java.util.ArrayList;
import java.util.List;
import com.linkedin.parseq.function.Function2;
import com.linkedin.parseq.function.Tuple2;
import com.linkedin.parseq.internal.InternalUtil;
import com.linkedin.parseq.internal.SystemHiddenTask;
import com.linkedin.parseq.promise.Promise;
import com.linkedin.parseq.promise.Promises;
import com.linkedin.parseq.promise.SettablePromise;
public class Par2Task<T1, T2> extends SystemHiddenTask<Tuple2<T1, T2>> implements Tuple2Task<T1, T2>
{
private final Tuple2<Task<T1>, Task<T2>> _tasks;
public Par2Task(final String name, Task<T1> task1, Task<T2> task2)
{
super(name);
_tasks = tuple(task1, task2);
}
@Override
protected Promise<Tuple2<T1, T2>> run(final Context context) throws Exception
{
final SettablePromise<Tuple2<T1, T2>> result = Promises.settable();
InternalUtil.after(p -> {
final List<Throwable> errors = new ArrayList<Throwable>();
_tasks.forEach(o -> {
Task<?> t = (Task<?>)o;
if (t.isFailed()) {
errors.add(t.getError());
}
});
if (!errors.isEmpty()) {
result.fail(errors.size() == 1 ? errors.get(0) : new MultiException("Multiple errors in parallel task.", errors));
} else {
result.done(tuple(_tasks._1().get(),
_tasks._2().get()));
}
},
_tasks._1(),
_tasks._2());
_tasks.forEach(t -> context.run((Task<?>)t));
return result;
}
public <R> Task<R> map(final Function2<T1, T2, R> f) {
return map(tuple -> f.apply(tuple._1(), tuple._2()));
}
}