/*
* 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.flink.streaming.api.environment;
import org.apache.flink.api.common.functions.FilterFunction;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.util.TestLogger;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
@SuppressWarnings("serial")
public class LocalStreamEnvironmentITCase extends TestLogger {
/**
* Test test verifies that the execution environment can be used to execute a
* single job with multiple slots.
*/
@Test
public void testRunIsolatedJob() throws Exception {
Flip6LocalStreamEnvironment env = new Flip6LocalStreamEnvironment();
assertEquals(1, env.getParallelism());
addSmallBoundedJob(env, 3);
env.execute();
}
/**
* Test test verifies that the execution environment can be used to execute multiple
* bounded streaming jobs after one another.
*/
@Test
public void testMultipleJobsAfterAnother() throws Exception {
Flip6LocalStreamEnvironment env = new Flip6LocalStreamEnvironment();
addSmallBoundedJob(env, 3);
env.execute();
addSmallBoundedJob(env, 5);
env.execute();
}
// ------------------------------------------------------------------------
private static void addSmallBoundedJob(StreamExecutionEnvironment env, int parallelism) {
DataStream<Long> stream = env
.generateSequence(1, 100)
.setParallelism(parallelism)
.slotSharingGroup("group_1");
stream
.filter(new FilterFunction<Long>() {
@Override
public boolean filter(Long value) {
return false;
}
})
.setParallelism(parallelism)
.startNewChain()
.slotSharingGroup("group_2")
.print()
.setParallelism(parallelism);
}
}