哈希图的火花序列化问题

spark serialization issue with hashmap

我正在尝试序列化一个 Java class,其 objects 将被收集到 Java Spark RDD 中。 POJO 包含一些数据结构,如 HashMapArrayList.

当我尝试遍历 driver 中的 RDD objects 并尝试获取 hashmap 元素时,它会抛出一个 Serialization exception .

java.io.IOException: com.esotericsoftware.kryo.KryoException: java.lang.NullPointerException

示例程序:

Driver Class:

主要实现:

public class MyMainTest {
    public static ArrayList<MyInterface> call() throws Exception{
        ArrayList<MyInterface> li = new ArrayList<MyInterface>();
        for(int i=0;i<3;i++){
            MyRecord  myrec = new MyRecord();
            li.add(myrec.addToTagMap());
        }
        return li;
    }
}

Main Implementation:
public class MyMainTest {
    public static ArrayList<MyInterface> call() throws Exception{
        ArrayList<MyInterface> li = new ArrayList<MyInterface>();
        for(int i=0;i<3;i++){
            MyRecord  myrec = new MyRecord();
            li.add(myrec.addToTagMap());
        }
        return li;
    }
}

My Pojo Class:
public class MyRecord implements MyInterface,Serializable{


    protected HashMap<String, Object> allTagNameValueMap_
    =  new HashMap<String, Object>(){
        {
            put("key1", "T1");
            put("key2", "Val2");
            put("key3", 3);
        }};
        protected MyRecord addToTagMap() throws Exception  {
            MyRecord myRec = new MyRecord();
            myRec.allTagNameValueMap_.put("key1", "New Value");
            myRec.allTagNameValueMap_.put("key2", "New Value2");
            myRec.allTagNameValueMap_.put("key4", 22);

            return  myRec;
        }
        @Override
        public Object getKey1() {
            // TODO Auto-generated method stub
            return allTagNameValueMap_.get("key1");
        }
        @Override
        public Object getKey2() {
            // TODO Auto-generated method stub
            return allTagNameValueMap_.get("key2");
        }
        @Override
        public Object getKey3() {
            // TODO Auto-generated method stub
            return allTagNameValueMap_.get("key3");
        }
}

My Interface:
public interface MyInterface extends Serializable{

    public Object getKey1();
    public Object getKey2();
    public Object getKey3();
}

序列化跟踪:

allTagNameValueMap_ (com.org.util.ex.ExRecord)

at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1140)
at org.apache.spark.rdd.ParallelCollectionPartition.readObject(ParallelCollectionRDD.scala:70)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

原因:com.esotericsoftware.kryo.KryoException:java.lang.NullPointerException 序列化跟踪:

allTagNameValueMap_ (com.org.util.ex.ExRecord)

at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:626)
at com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221)
at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:338)
at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:293)
at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
at com.twitter.chill.WrappedArraySerializer.read(WrappedArraySerializer.scala:36)
at com.twitter.chill.WrappedArraySerializer.read(WrappedArraySerializer.scala:23)
at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
at org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:138)
at org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$readObject$$anonfun$apply$mcV$sp.apply(ParallelCollectionRDD.scala:80)
at org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$readObject$$anonfun$apply$mcV$sp.apply(ParallelCollectionRDD.scala:80)
at org.apache.spark.util.Utils$.deserializeViaNestedStream(Utils.scala:130)
at org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$readObject.apply$mcV$sp(ParallelCollectionRDD.scala:80)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1137)
... 20 more

原因:java.lang.NullPointerException 在 java.util.HashMap.put(HashMap.java:493) 在 com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:135) 在 com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17) 在 com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) 在 com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605)

Spark中序列化HashMap时有什么特别需要注意的地方吗?

我解决了这个问题。

我遵循的步骤。

  1. 创建一个 Kryo 注册器 class 并将 Pojo 注册为 Kryo Serializable 。
public class MyKryoRegistrator implements KryoRegistrator, Serializable {
  @Override
  public void registerClasses(Kryo kryo) {
      // Product POJO associated to a product Row from the DataFrame      
      kryo.register(MyRecord.class);  
  }
}

2.Set 可序列化类型和 Kryo 注册器 class 在我的 main 中的 spark conf 中。

sConf.set("spark.serializer","org.apache.spark.serializer.KryoSerializer");
sConf.set("spark.kryo.registrator","com.spark.util.umf.MyKryoRegistrator");

3.Initialize 在 POJO 中使用构造函数的 HashMap class .

protected Map allTagNameValueMap_ =new HashMap(); public MyRecord(){ allTagNameValueMap_.put("key1", "V1"); allTagNameValueMap_.put("key2", "V2"); allTagNameValueMap_.put("key3", "V3"); };