Flink Streaming 在计算求和时抛出异常

Question

我正在使用机架可用的 Flink Streaming 示例，我想通过机架 ID 计算温度组的总和。以下是我的代码：

static Properties properties=new Properties();
    public static Properties getProperties()
    {
        properties.setProperty("bootstrap.servers", "54.210.139.57:9092");
        properties.setProperty("zookeeper.connect", "54.210.139.57:2181");
        //properties.setProperty("deserializer.class", "kafka.serializer.StringEncoder");
        //properties.setProperty("group.id", "akshay");
        properties.setProperty("auto.offset.reset", "earliest");
        return properties;
    }

 @SuppressWarnings("rawtypes")
public static void main(String[] args) throws Exception 
{
    StreamExecutionEnvironment env=StreamExecutionEnvironment.getExecutionEnvironment();
    env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
    Properties props=Program.getProperties();
    //env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);

    /*DataStream<String> dstream=env.addSource(new FlinkKafkaConsumer09<String>("TemperatureEvent",new SimpleStringSchema(), props));
    dstream.filter(dstream -> dstream.)*/
    DataStream<TemperatureEvent> dstream=env.addSource(new FlinkKafkaConsumer09<TemperatureEvent>("TemperatureEvent", new TemperatureEventSchema(), props));

    DataStream<TemperatureEvent> ds1=dstream.keyBy("rackId").sum(1);

    ds1.print();
    env.execute("Temperature Consumer");
}

当我尝试执行此代码时，它抛出以下异常：程序结束时出现以下异常：

org.apache.flink.client.program.ProgramInvocationException: The main method caused an error.
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:520)
        at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:403)
        at org.apache.flink.client.program.Client.runBlocking(Client.java:248)
        at org.apache.flink.client.CliFrontend.executeProgramBlocking(CliFrontend.java:866)
        at org.apache.flink.client.CliFrontend.run(CliFrontend.java:333)
        at org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1192)
        at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1243)
Caused by: java.lang.IndexOutOfBoundsException: Not 0th field selected for a simple type (non-tuple, non-array).
        at org.apache.flink.streaming.util.FieldAccessor.create(FieldAccessor.java:78)
        at org.apache.flink.streaming.api.functions.aggregation.SumAggregator.<init>(SumAggregator.java:39)
        at org.apache.flink.streaming.api.datastream.KeyedStream.sum(KeyedStream.java:292)
        at com.yash.main.Program.main(Program.java:38)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:505)

我正在使用 sum(1)，因为我的第 0 个参数是 rackId，第 1 个参数是 pojo TemperatureEvent 中定义的温度，如下所示：

public class TemperatureEvent
{
  private int rackId;
  private double temperature;
  private long timeStamp;

  public TemperatureEvent() 
  {
    // TODO Auto-generated constructor stub
  }

public TemperatureEvent(int rackId, double temperature, long timeStamp) {
    super();
    this.rackId = rackId;
    this.temperature = temperature;
    this.timeStamp = timeStamp;
}

public int getRackId() {
    return rackId;
}

public void setRackId(int rackId) {
    this.rackId = rackId;
}

public double getTemperature() {
    return temperature;
}

public void setTemperature(double temperature) {
    this.temperature = temperature;
}

public long getTimeStamp() {
    return timeStamp;
}

public void setTimeStamp(long timeStamp) {
    this.timeStamp = timeStamp;
}

@Override
public String toString() {
    //return String.format("TemperatureEvent [rackId=%s, temperature=%s, timeStamp=%s]",rackId, temperature, timeStamp);
            String str=getRackId()+","+temperature+","+getTimeStamp();
            return str;

}

这个问题的解决方案是什么？？如何通过 rackID 计算温度组的总和 ??

Answer 1

如果您的类型是元组类型，则只能在这些方法上使用基于索引的参数。在您的情况下，它应该与 .sum("temperature").

一起使用

Flink Streaming 在计算求和时抛出异常

Flink Streaming while calculating sum throwing exception

java

hadoop

apache-flink

flink-streaming