/* * 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); } }