2019-10-24 15:10:34 +08:00

67 lines
2.1 KiB
Scala

/*
* 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 com.heibaiying
import org.apache.flink.api.scala._
/**
* Skeleton for a Flink Batch Job.
*
* For a tutorial how to write a Flink batch application, check the
* tutorials and examples on the <a href="http://flink.apache.org/docs/stable/">Flink Website</a>.
*
* To package your application into a JAR file for execution,
* change the main class in the POM.xml file to this class (simply search for 'mainClass')
* and run 'mvn clean package' on the command line.
*/
object BatchJob {
def main(args: Array[String]) {
// set up the batch 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/apis/batch/index.html
*
* and the examples
*
* http://flink.apache.org/docs/latest/apis/batch/examples.html
*
*/
// execute program
env.execute("Flink Batch Scala API Skeleton")
}
}