java - Spark异常:java.io.NotSerializableException:org.apache.spark.streaming.api.java.JavaStreamingContext

我正在尝试运行一个非常简单的示例，其中涉及将Spark连接到Cassandra并汇总数据。该实现使用的是spring-cassandra连接器，java，spring和其他很多东西。

这是我通过Spring接线的Spark Config文件

@Configuration
@ComponentScan("test.spark.service")
@Import({CassandraConfig.class})
public class SparkConfig {

    @Autowired
    private String cassandraUrl;

    @Bean
    public SparkConf sparkConf() {
        SparkConf sparkConf = new SparkConf();

        // configure all the bells and whistles
        sparkConf
                .setMaster("spark://localhost:7077")
                .setAppName("DataAggregator")
                .set("spark.cassandra.connection.host", cassandraUrl);

        return sparkConf;
    }

    @Bean
    public JavaStreamingContext javaStreamingContext() {
        return new JavaStreamingContext(sparkConf(), new Duration(1000));
    }
}

这是不会抛出异常的服务类

@Service
public class SparkServiceImpl implements SparkService, Serializable {

    private static final Logger LOGGER = LoggerFactory.getLogger(SparkServiceImpl.class);

    @Autowired
    JavaStreamingContext javaStreamingContext;

    @Override
    public void process() {
        CassandraJavaRDD<CassandraRow> rdd = CassandraStreamingJavaUtil.javaFunctions(javaStreamingContext).cassandraTable("keyspace", "table");

    }
}

这似乎可行，并返回CassandraJavaRDD

一旦我将实现更改为使用groupBy / function，它就会出现序列化异常

@Service
public class SparkServiceImpl implements SparkService, Serializable {

    private static final Logger LOGGER = LoggerFactory.getLogger(SparkServiceImpl.class);

    @Autowired
    JavaStreamingContext javaStreamingContext;

    @Override
    public void process() {
        CassandraJavaRDD<CassandraRow> rdd = CassandraStreamingJavaUtil.javaFunctions(javaStreamingContext).cassandraTable("keyspace", "table");

        JavaPairRDD<Integer, Iterable<CassandraRow>> javaPairRDD = rdd.groupBy(new Function<CassandraRow, Integer>() {
            @Override
            public Integer call(CassandraRow row) throws Exception {
                return row.getInt("int_column");
            }
        });
    }
}

这是堆栈跟踪

org.apache.spark.SparkException: Task not serializable

    at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298)
    at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288)
    at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108)
    at org.apache.spark.SparkContext.clean(SparkContext.scala:2037)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$3.apply(RDD.scala:694)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$3.apply(RDD.scala:693)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
    at org.apache.spark.rdd.RDD.groupBy(RDD.scala:693)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$1.apply(RDD.scala:665)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$1.apply(RDD.scala:665)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
    at org.apache.spark.rdd.RDD.groupBy(RDD.scala:664)
    at org.apache.spark.api.java.JavaRDDLike$class.groupBy(JavaRDDLike.scala:242)
    at org.apache.spark.api.java.AbstractJavaRDDLike.groupBy(JavaRDDLike.scala:45)
    at test.spark.service.SparkServiceImpl.process(SparkServiceServiceImpl.java:56)
    at test.spark.service.SparkServiceTest.testProcess(SparkServiceTest.java:27)
    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.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
    at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
    at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
    at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
    at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:75)
    at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:86)
    at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:84)
    at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
    at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:252)
    at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:94)
    at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
    at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
    at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
    at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
    at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
    at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
    at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:70)
    at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
    at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:191)
    at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
    at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:117)
    at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:42)
    at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:262)
    at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:84)
    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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
Caused by: java.io.NotSerializableException: org.apache.spark.streaming.api.java.JavaStreamingContext
Serialization stack:
    - object not serializable (class: org.apache.spark.streaming.api.java.JavaStreamingContext, value: org.apache.spark.streaming.api.java.JavaStreamingContext@4538856f)
    - field (class: test.spark.service.SparkServiceImpl, name: javaStreamingContext, type: class org.apache.spark.streaming.api.java.JavaStreamingContext)
    - object (class test.spark.service.SparkServiceImpl, test.spark.service.SparkServiceImpl@7e34b127)
    - field (class: test.spark.service.SparkServiceImpl$1, name: this$0, type: class test.spark.service.SparkServiceImpl)
    - object (class test.spark.service.SparkServiceImpl$1, test.spark.service.SparkServiceImpl$1@536b71b4)
    - field (class: org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1, name: fun$1, type: interface org.apache.spark.api.java.function.Function)
    - object (class org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1, <function1>)
    at org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40)
    at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:46)
    at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100)
    at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:295)
    ... 52 more

除了此异常之外，如果我的服务不可序列化，则也会抛出异常

这是服务

@Service
public class SparkServiceImpl implements SparkService {

    private static final Logger LOGGER = LoggerFactory.getLogger(SparkServiceImpl.class);

    @Autowired
    JavaStreamingContext javaStreamingContext;

    @Override
    public void process() {
        CassandraJavaRDD<CassandraRow> rdd = CassandraStreamingJavaUtil.javaFunctions(javaStreamingContext).cassandraTable("keyspace", "table");

        JavaPairRDD<Integer, Iterable<CassandraRow>> javaPairRDD = rdd.groupBy(new Function<CassandraRow, Integer>() {
            @Override
            public Integer call(CassandraRow row) throws Exception {
                return row.getInt("int_column");
            }
        });
    }
}

这是例外

org.apache.spark.SparkException: Task not serializable

    at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298)
    at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288)
    at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108)
    at org.apache.spark.SparkContext.clean(SparkContext.scala:2037)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$3.apply(RDD.scala:694)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$3.apply(RDD.scala:693)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
    at org.apache.spark.rdd.RDD.groupBy(RDD.scala:693)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$1.apply(RDD.scala:665)
    at org.apache.spark.rdd.RDD$$anonfun$groupBy$1.apply(RDD.scala:665)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
    at org.apache.spark.rdd.RDD.groupBy(RDD.scala:664)
    at org.apache.spark.api.java.JavaRDDLike$class.groupBy(JavaRDDLike.scala:242)
    at org.apache.spark.api.java.AbstractJavaRDDLike.groupBy(JavaRDDLike.scala:45)
    at test.spark.service.SparkServiceImpl.process(SparkServiceImpl.java:32)
    at test.spark.service.SparkServiceTest.testProcess(SparkServiceTest.java:27)
    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.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
    at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
    at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
    at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
    at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:75)
    at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:86)
    at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:84)
    at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
    at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:252)
    at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:94)
    at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
    at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
    at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
    at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
    at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
    at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
    at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:70)
    at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
    at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:191)
    at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
    at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:117)
    at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:42)
    at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:262)
    at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:84)
    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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
Caused by: java.io.NotSerializableException: test.spark.service.SparkServiceImpl
Serialization stack:
    - object not serializable (class: test.spark.service.SparkServiceImpl, value: test.spark.service.SparkServiceImpl@47b269c4)
    - field (class: test.spark.service.SparkServiceImpl$1, name: this$0, type: class test.spark.service.SparkServiceImpl)
    - object (class test.spark.service.SparkServiceImpl$1, test.spark.service.SparkServiceImpl$1@23ad71bf)
    - field (class: org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1, name: fun$1, type: interface org.apache.spark.api.java.function.Function)
    - object (class org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1, <function1>)
    at org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40)
    at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:46)
    at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100)
    at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:295)
    ... 52 more

最佳答案

快速解决：

将transient关键字添加到@Bean中的JavaStreamingContext SparkServiceImpl

@Autowired
private transient JavaStreamingContext javaStreamingContext;

快速说明原因：

这是因为JavaStreamingContext是在驱动程序上创建的，并且JavaStreamingContext作为Spark Streaming功能的主要入口点是必需的。

在您的SparkService实现-SparkServiceImpl中，您对RDD进行了一些操作，并且master创建了用于声明的转换的任务。
在此阶段之后，将创建的任务发送给工作人员，基本上这是最终执行任务的地方。

因此，工作人员不需要SparkContext和JavaStreamingContext-正如您所说的，序列化JavaStreamingContext没有意义。

使用transient关键字，您只是说您不想序列化JavaStreamingContext，对于执行spark作业，可以。