/* * 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 it.polimi.middleware.projects.flink; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; /** * Skeleton for a Flink Streaming Job. * *
For a tutorial how to write a Flink streaming application, check the * tutorials and examples on the Flink Website. * *
To package your application into a JAR file for execution, run * 'mvn clean package' on the command line. * *
If you change the name of the main class (with the public static void main(String[] args))
* method, change the respective entry in the POM.xml file (simply search for 'mainClass').
*/
public class StreamingJob {
public static void main(String[] args) throws Exception {
// set up the streaming execution environment
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
/*
* Here, you can start creating your execution plan for Flink.
*
* Start with getting some data from the environment, like
* env.readTextFile(textPath);
*
* then, transform the resulting DataStream