来自示例 Java 程序的 Spark UDF 反序列化错误

Question

这个例子直接取自Spark 示例代码，所以我有点不知所措。

import org.apache.spark.sql.*;
import org.apache.spark.sql.api.java.UDF1;
import org.apache.spark.sql.types.DataTypes;

public class TestSpark {

    public static void main(String[] args) {

        SparkSession spark = SparkSession.builder()
                .appName("testspark")
                .master("spark://0.0.0.0:7077")
                 // Yes this file exists, and contains this class
                .config("spark.jars", "out/artifacts/testspark_jar/testspark.jar")
                .getOrCreate();

        // This works
        spark.sql("SELECT 5 + 1").show();

        spark.udf().register("plusOne", (UDF1<Integer, Integer>) x -> x + 1, DataTypes.IntegerType);

        // This fails
        spark.sql("SELECT plusOne(5)").show();

    }

}

我在本地主机上运行的 Spark Standalone 集群上运行它。

工人始终失败：

Caused by: java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
    at java.base/java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2205)
    at java.base/java.io.ObjectStreamClass$FieldReflector.checkObjectFieldValueTypes(ObjectStreamClass.java:2168)
    at java.base/java.io.ObjectStreamClass.checkObjFieldValueTypes(ObjectStreamClass.java:1422)
    at java.base/java.io.ObjectInputStream.defaultCheckFieldValues(ObjectInputStream.java:2450)
    at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2357)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2166)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1668)
    at java.base/java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2434)
    at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2328)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2166)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1668)
    at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:482)
    at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:440)
    at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:488)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.base/java.lang.reflect.Method.invoke(Method.java:566)
    at java.base/java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1175)
    at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2295)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2166)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1668)
    at java.base/java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2434)
    at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2328)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2166)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1668)
    at java.base/java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2434)
    at java.base/java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2328)
    at java.base/java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2166)
    at java.base/java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1668)
    at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:482)
    at java.base/java.io.ObjectInputStream.readObject(ObjectInputStream.java:440)
    at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
    at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:83)
    at org.apache.spark.scheduler.Task.run(Task.scala:127)
    at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
    at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
    at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
    at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
    at java.base/java.lang.Thread.run(Thread.java:834)

我在 Java 11 上运行，使用 Spark 3.0.1。

我确实发现了这个非常相似的问题，它看起来像是答案： java.lang.ClassCastException using lambda expressions in spark job on remote server

但是，在确保我的 TestSpark 编译成提供给 SparkSession 的 JAR 后，我仍然遇到相同的错误。

任何帮助将不胜感激。 似乎在 Java/Scala 边界上发生了一些事情，但我对 Scala 互操作的了解还不够深入，无法进一步分析。

Answer 1

我已经链接的问题（ 在远程服务器上的 spark 作业中使用 lambda 表达式的 java.lang.ClassCastException ）中的答案是正确的。

它再次被混淆，因为我没有正确编译 JAR（我认为清单中有一些东西，但不是 100% 确定）。

正确编译 JAR（使用mvn package而不是我的 IDE）并在spark.jars配置属性中提供它后，代码按预期工作。