How to use

setBufferTimeout

method

in

org.apache.flink.streaming.api.environment.StreamExecutionEnvironment

env.setBufferTimeout(1);

env.setBufferTimeout(1);

.setBufferTimeout(1);

private static void runPartitioningProgram(int parallelism) throws Exception {
  StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
  env.setParallelism(parallelism);
  env.getConfig().enableObjectReuse();
  env.setBufferTimeout(5L);
  env.enableCheckpointing(1000, CheckpointingMode.AT_LEAST_ONCE);
  env
    .addSource(new TimeStampingSource())
    .map(new IdMapper<Tuple2<Long, Long>>())
    .keyBy(0)
    .addSink(new TimestampingSink());
  env.execute("Partitioning Program");
}

final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setBufferTimeout(77); // set timeout to some recognizable number

env.setBufferTimeout(0);

 @Override
 public void processStream(final FlinkBenchConfig config) throws Exception {

  final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
  env.setBufferTimeout(config.bufferTimeout);

  createDataStream(config);
  DataStream<Tuple2<String, String>> dataStream = env.addSource(getDataStream());

  dataStream.map(new MapFunction<Tuple2<String, String>, Tuple2<String, String>>() {

   @Override
   public Tuple2<String, String> map(Tuple2<String, String> value) throws Exception {
    KafkaReporter kafkaReporter = new KafkaReporter(config.reportTopic, config.brokerList);

    kafkaReporter.report(Long.parseLong(value.f0), System.currentTimeMillis());
    return value;
   }
  });

  env.execute("Identity Job");
 }
}

 @Override
 public void processStream(final FlinkBenchConfig config) throws Exception {

  final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
  env.setBufferTimeout(config.bufferTimeout);

  createDataStream(config);
  DataStream<Tuple2<String, String>> dataStream = env.addSource(getDataStream());

  dataStream.rebalance().map(
    new MapFunction<Tuple2<String, String>, Tuple2<String, String>>() {

     @Override
     public Tuple2<String, String> map(Tuple2<String, String> value) throws Exception {
      KafkaReporter kafkaReporter = new KafkaReporter(config.reportTopic, config.brokerList);

      kafkaReporter.report(Long.parseLong(value.f0), System.currentTimeMillis());
      return value;
     }
    });


  env.execute("Repartition Job");
 }
}

env.setBufferTimeout(config.bufferTimeout);
env.enableCheckpointing(config.checkpointDuration);

@Override
public void processStream(final FlinkBenchConfig config) throws Exception {
 final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
 env.setBufferTimeout(config.bufferTimeout);
 env.enableCheckpointing(config.checkpointDuration);
 createDataStream(config);

env.setBufferTimeout(FlinkUtil.getBufferTimeoutMillis(confProperties));

.setBufferTimeout(1);

private StreamExecutionEnvironment createJobGraph(int parallelism,
    Function<DataStream<String>, DataStream<String>> pipelinerBuilder) throws Exception {
  final Path checkpointDir = getCheckpointDir();
  final Path savepointRootDir = getSavepointDir();
  checkpointDir.getFileSystem().mkdirs(checkpointDir);
  savepointRootDir.getFileSystem().mkdirs(savepointRootDir);
  StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
  env.getConfig().disableSysoutLogging();
  env.getCheckpointConfig().enableExternalizedCheckpoints(ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
  env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
  env.setBufferTimeout(0);
  env.setParallelism(parallelism);
  env.enableCheckpointing(500, CheckpointingMode.EXACTLY_ONCE);
  env.setStateBackend((StateBackend) new RocksDBStateBackend(checkpointDir.toString(), true));
  DataStream<String> sourceData = env
      .addSource(new TestPipelineSource())
      .uid("TestSource")
      .name("TestSource")
      .setParallelism(1);
  pipelinerBuilder.apply(sourceData)
      .addSink(new CollectingSink()).name("Output").uid("Output")
      .setParallelism(1);
  return env;
}