RDD不可序列化的Cassandra / Spark连接器java API

Question

so I previously had some questions on how to query cassandra using spark in a java maven project here: Querying Data in Cassandra via Spark in a Java Maven Project

Well my question was answered and it worked, however I've run into an issue (possibly an issue). I'm trying to now use the datastax java API. Here is my code:

package com.angel.testspark.test2;

import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;

import java.io.Serializable;

import static com.datastax.spark.connector.CassandraJavaUtil.*;


public class App 
{

    // firstly, we define a bean class
    public static class Person implements Serializable {
        private Integer id;
        private String fname;
        private String lname;
        private String role;

        // Remember to declare no-args constructor
        public Person() { }

        public Integer getId() { return id; }
        public void setId(Integer id) { this.id = id; }

        public String getfname() { return fname; }
        public void setfname(String fname) { this.fname = fname; }

        public String getlname() { return lname; }
        public void setlname(String lname) { this.lname = lname; }

        public String getrole() { return role; }
        public void setrole(String role) { this.role = role; }

        // other methods, constructors, etc.
    }

    private transient SparkConf conf;
    private App(SparkConf conf) {
        this.conf = conf;
    }


    private void run() {
        JavaSparkContext sc = new JavaSparkContext(conf);
        createSchema(sc);


        sc.stop();
    }

    private void createSchema(JavaSparkContext sc) {

        JavaRDD<String> rdd = javaFunctions(sc).cassandraTable("tester", "empbyrole", Person.class)
                .where("role=?", "IT Engineer").map(new Function<Person, String>() {
                    @Override
                    public String call(Person person) throws Exception {
                        return person.toString();
                    }
                });
        System.out.println("Data as Person beans: \n" + StringUtils.join("\n", rdd.toArray()));
               }



    public static void main( String[] args )
    {
        if (args.length != 2) {
            System.err.println("Syntax: com.datastax.spark.demo.JavaDemo <Spark Master URL> <Cassandra contact point>");
            System.exit(1);
        }

        SparkConf conf = new SparkConf();
        conf.setAppName("Java API demo");
        conf.setMaster(args[0]);
        conf.set("spark.cassandra.connection.host", args[1]);

        App app = new App(conf);
        app.run();
    }
}

here is my error:

Exception in thread "main" org.apache.spark.SparkException: Job aborted: Task not serializable: java.io.NotSerializableException: com.angel.testspark.test2.App
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1020)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1018)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1018)
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:781)
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:724)
    at org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:554)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:190)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
    at akka.actor.ActorCell.invoke(ActorCell.scala:456)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
    at akka.dispatch.Mailbox.run(Mailbox.scala:219)
    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

Now I KNOW exactly where my error is. It is System.out.println("Data as Person beans: \\n" + StringUtils.join("\\n", rdd.toArray())); because I need to convert rdd to an Array. However, the API documentation SAID i should be able to do this... this is code copied and pasted from the documentation. Why can I not serialize the RDD to an array?

I've already inserted dummy data into my cassandra using the insertions in my post that I included in the link above.

Also, a previous error that I solved was when i changed all of my getters and setters to lowercase. When I used capitals in them, it produced an error. Why can't I use capitals in my getters and setters here?

Thanks, Angel

Answer 1

Changing public class App to public class App implements Serializable should fix the error. Because a java inner class will keep a reference to the outer class, your Function object will have a reference to App . As Spark needs to serialize your Function object, it requires App is also serializable.