【发布时间】:2019-02-01 15:11:00
【问题描述】:
我在 Flink (Java) 中创建了一个程序来计算 3 个不同房间中 9 个假传感器的平均值。如果我启动 jar 文件,程序运行良好。所以我决定启动 flink 独立集群来检查运行我的 Job 的 TaskManager 和相应的任务,比如这里 (https://ci.apache.org/projects/flink/flink-docs-stable/tutorials/local_setup.html)。我在我的机器上运行所有东西。
为什么我看不到仪表板上正在运行的作业 (http://localhost:8081/#/overview) 但如果我查看日志文件 (tail -f log/flink--client--*-T430.log) 我可以看到正在处理的东西?
此外,print() 方法将输出溢出到控制台。
我用这个命令./bin/flink run examples/explore-flink.jar -c启动我的应用程序
但也许配置文件中有一些我必须配置的参数。这是我的代码:
import org.apache.flink.api.common.functions.RichMapFunction;
import org.apache.flink.api.common.state.MapState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.CheckpointingMode;
import org.apache.flink.streaming.api.TimeCharacteristic;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.sense.flink.mqtt.MqttTemperature;
import org.sense.flink.mqtt.TemperatureMqttConsumer;
public class SensorsMultipleReadingMqttEdgentQEP {
private boolean checkpointEnable = true;
private long checkpointInterval = 1000;
private CheckpointingMode checkpointMode = CheckpointingMode.EXACTLY_ONCE;
public SensorsMultipleReadingMqttEdgentQEP() throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setStreamTimeCharacteristic(TimeCharacteristic.IngestionTime);
if (checkpointEnable)
env.enableCheckpointing(checkpointInterval, checkpointMode);
DataStream<MqttTemperature> temperatureStream01 = env.addSource(new TemperatureMqttConsumer("topic-edgent-01"));
DataStream<MqttTemperature> temperatureStream02 = env.addSource(new TemperatureMqttConsumer("topic-edgent-02"));
DataStream<MqttTemperature> temperatureStream03 = env.addSource(new TemperatureMqttConsumer("topic-edgent-03"));
DataStream<MqttTemperature> temperatureStreams = temperatureStream01.union(temperatureStream02)
.union(temperatureStream03);
DataStream<Tuple2<String, Double>> average = temperatureStreams.keyBy(new TemperatureKeySelector())
.map(new AverageTempMapper());
average.print();
String executionPlan = env.getExecutionPlan();
System.out.println("ExecutionPlan ........................ ");
System.out.println(executionPlan);
System.out.println("........................ ");
// env.execute("SensorsMultipleReadingMqttEdgentQEP");
env.execute();
}
public static class TemperatureKeySelector implements KeySelector<MqttTemperature, Integer> {
private static final long serialVersionUID = 5905504239899133953L;
@Override
public Integer getKey(MqttTemperature value) throws Exception {
return value.getId();
}
}
public static class AverageTempMapper extends RichMapFunction<MqttTemperature, Tuple2<String, Double>> {
private static final long serialVersionUID = -5489672634096634902L;
private MapState<String, Double> averageTemp;
@Override
public void open(Configuration parameters) throws Exception {
averageTemp = getRuntimeContext()
.getMapState(new MapStateDescriptor<>("average-temperature", String.class, Double.class));
}
@Override
public Tuple2<String, Double> map(MqttTemperature value) throws Exception {
String key = "no-room";
Double temp = value.getTemp();
if (value.getId().equals(1) || value.getId().equals(2) || value.getId().equals(3)) {
key = "room-A";
} else if (value.getId().equals(4) || value.getId().equals(5) || value.getId().equals(6)) {
key = "room-B";
} else if (value.getId().equals(7) || value.getId().equals(8) || value.getId().equals(9)) {
key = "room-C";
} else {
System.err.println("Sensor not defined in any room.");
}
if (averageTemp.contains(key)) {
temp = (averageTemp.get(key) + value.getTemp()) / 2;
} else {
averageTemp.put(key, temp);
}
return new Tuple2<String, Double>(key, temp);
}
}
}
谢谢, 费利佩
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标签: apache-flink flink-streaming