簡體   English   中英

在Apache Spark中使用廣播變量

[英]Using broadcast variables in apache spark

在CoGroupFunction中使用廣播變量時​​出現錯誤。 如果對appProvider.value()進行注釋,則錯誤消失。 您知道如何解決此問題嗎? 錯誤與變量定義或初始化有關嗎?

public class UsageJobDS implements Serializable{
  private static final Logger log = org.apache.log4j.LogManager.getLogger("myLogger");

  Broadcast<Provider> appProvider;

  void init(){
    // init broadcast variable
    ....
  }
  public static void main(String[] args) {
    UsageJobDS ujb = new UsageJobDS();
    ujb.init();
    ujb.run();
  }

  void run(){
    KeyValueGroupedDataset<Long, Row> charges = usageCharges.groupByKey(x -> x.getLong(x.fieldIndex("si__subscription_id")), Encoders.LONG());

    Dataset<ProcessEdr> cogg = edrs.cogroup(charges, rateEDRs, Encoders.bean(ProcessEdr.class));

    log.warn("Count cogg " + cogg.count());
  }

  CoGroupFunction<Long, EDR2, Row, ProcessEdr> rateEDRs = (subscription_id, edrsIter, chargesIter) -> {
        Logger log = org.apache.log4j.LogManager.getLogger("myLogger");
        log.warn("inside rateEDRs function");

        while (edrsIter.hasNext()) {
            appProvider.value(); // HERE
        }
        return results.iterator();
    };

}

我得到這個錯誤

java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.opencell.spark.jobs.UsageJobDS.rateEDRs of type org.apache.spark.api.java.function.CoGroupFunction in instance of org.opencell.spark.jobs.UsageJobDS
    at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2233)
    at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1405)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2288)

實際上,如果將cogroup函數定義更改為以下代碼,則它可以工作。 但是,錯誤原因仍然未知。

        Dataset<ProcessEdr> cogg = edrs.cogroup(charges, (subscription_id, edrsIter, chargesIter) -> {
            ArrayList<ProcessEdr> results = new ArrayList<>();

            System.out.println("App Provider name" + appProvider.value().getIssuer_name());

            return results.iterator();
        }, Encoders.bean(ProcessEdr.class)); 

暫無
暫無

聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.

 
粵ICP備18138465號  © 2020-2024 STACKOOM.COM