How to use

WindowJoin

in

org.apache.flink.streaming.examples.join

public static void main(String[] args) throws Exception {
  // parse the parameters
  final ParameterTool params = ParameterTool.fromArgs(args);
  final long windowSize = params.getLong("windowSize", 2000);
  final long rate = params.getLong("rate", 3L);
  System.out.println("Using windowSize=" + windowSize + ", data rate=" + rate);
  System.out.println("To customize example, use: WindowJoin [--windowSize <window-size-in-millis>] [--rate <elements-per-second>]");
  // obtain execution environment, run this example in "ingestion time"
  StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
  env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
  // make parameters available in the web interface
  env.getConfig().setGlobalJobParameters(params);
  // create the data sources for both grades and salaries
  DataStream<Tuple2<String, Integer>> grades = GradeSource.getSource(env, rate);
  DataStream<Tuple2<String, Integer>> salaries = SalarySource.getSource(env, rate);
  // run the actual window join program
  // for testability, this functionality is in a separate method.
  DataStream<Tuple3<String, Integer, Integer>> joinedStream = runWindowJoin(grades, salaries, windowSize);
  // print the results with a single thread, rather than in parallel
  joinedStream.print().setParallelism(1);
  // execute program
  env.execute("Windowed Join Example");
}

.runWindowJoin(grades, salaries, 100)
.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);

public static void main(String[] args) throws Exception {
  // parse the parameters
  final ParameterTool params = ParameterTool.fromArgs(args);
  final long windowSize = params.getLong("windowSize", 2000);
  final long rate = params.getLong("rate", 3L);
  System.out.println("Using windowSize=" + windowSize + ", data rate=" + rate);
  System.out.println("To customize example, use: WindowJoin [--windowSize <window-size-in-millis>] [--rate <elements-per-second>]");
  // obtain execution environment, run this example in "ingestion time"
  StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
  env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
  // make parameters available in the web interface
  env.getConfig().setGlobalJobParameters(params);
  // create the data sources for both grades and salaries
  DataStream<Tuple2<String, Integer>> grades = GradeSource.getSource(env, rate);
  DataStream<Tuple2<String, Integer>> salaries = SalarySource.getSource(env, rate);
  // run the actual window join program
  // for testability, this functionality is in a separate method.
  DataStream<Tuple3<String, Integer, Integer>> joinedStream = runWindowJoin(grades, salaries, windowSize);
  // print the results with a single thread, rather than in parallel
  joinedStream.print().setParallelism(1);
  // execute program
  env.execute("Windowed Join Example");
}