/*
* 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.examples.join;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
public class JoinLocal {
private static final int PARALLELISM = 1;
private static final int SOURCE_PARALLELISM = 1;
// This example will join two streams. One which emits people's grades and
// one which emits people's salaries.
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironment(
PARALLELISM).setBufferTimeout(100);
DataStream<Tuple2<String, Integer>> grades = env.addSource(new GradeSource(),
SOURCE_PARALLELISM);
DataStream<Tuple2<String, Integer>> salaries = env.addSource(new SalarySource(),
SOURCE_PARALLELISM);
DataStream<Tuple3<String, Integer, Integer>> joinedStream = grades.connect(salaries)
.flatMap(new JoinTask());
System.out.println("(NAME, GRADE, SALARY)");
joinedStream.print();
env.execute();
}
}