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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF 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.
*/
package org.apache.beam.learning.katas.coretransforms.map.pardo;
import org.apache.beam.sdk.testing.PAssert;
import org.apache.beam.sdk.testing.TestPipeline;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.values.PCollection;
import org.junit.Rule;
import org.junit.Test;
public class TaskTest {
@Rule
public final transient TestPipeline testPipeline = TestPipeline.create();
@Test
public void parDo() {
Create.Values<Integer> values = Create.of(1, 2, 3, 4, 5);
PCollection<Integer> numbers = testPipeline.apply(values);
PCollection<Integer> results = Task.applyTransform(numbers);
PAssert.that(results)
.containsInAnyOrder(10, 20, 30, 40, 50);
testPipeline.run().waitUntilFinish();
}
}