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package org.example

/**
 * 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.scala._

/**
 * Skeleton for a Flink Job.
 *
 * You can also generate a .jar file that you can submit on your Flink
 * cluster. Just type
 * {{{
 *   sbt clean assembly
 * }}}
 * in the projects root directory. You will find the jar in
 * target/scala-2.11/Flink\ Project-assembly-0.1-SNAPSHOT.jar
 *
 */
object Job {
  def main(args: Array[String]) {
    // set up the execution environment
    val 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()
     *   .group()
     *
     * and many more.
     * Have a look at the programming guide:
     *
     * 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 Scala API Skeleton")
  }
}