Skeleton for apache Flink Job. - Java Big Data

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Description

Skeleton for apache Flink Job.

Demo Code

package uno;//from  w ww. j  a v a 2s. co  m

/**
 * 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.
 */

import org.apache.flink.api.java.ExecutionEnvironment;

/**
 * Skeleton for a Flink Job.
 *
 * For a full example of a Flink Job, see the WordCountJob.java file in the
 * same package/directory or have a look at the website.
 *
 * You can also generate a .jar file that you can submit on your Flink
 * cluster.
 * Just type
 *     mvn clean package
 * in the projects root directory.
 * You will find the jar in
 *     target/flink-quickstart-0.1-SNAPSHOT-Sample.jar
 *
 */
public class Job {

    public static void main(String[] args) throws Exception {
        // set up the execution environment
        final ExecutionEnvironment env = ExecutionEnvironment
                .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 DataSet<String> using operations
         * like
         *   .filter()
         *   .flatMap()
         *   .join()
         *   .coGroup()
         * and many more.
         * Have a look at the programming guide for the Java API:
         *
         * http://flink.apache.org/docs/latest/programming_guide.html
         *
         * and the examples
         *
         * http://flink.apache.org/docs/latest/examples.html
         *
         */

        // execute program
        env.execute("Flink Java API Skeleton");
    }
}

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