Thanks
I debug this further and below is the cause
Caused by: java.io.NotSerializableException:
org.apache.spark.sql.api.java.JavaSQLContext - field (class
"com.basic.spark.NumberCount$2", name: "val$sqlContext", type: "class
org.apache.spark.sql.api.java.JavaSQLContext") - object (class
"com.basic.spark.NumberCount$2", com.basic.spark.NumberCount$2@69ddbcc7)
- field (class "com.basic.spark.NumberCount$2$1", name: "this$0", type: "class
com.basic.spark.NumberCount$2") - object (class
"com.basic.spark.NumberCount$2$1", com.basic.spark.NumberCount$2$1@2524beed)
- field (class
"org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1", name:
"fun$1", type: "interface org.apache.spark.api.java.function.Function")
I tried this also
http://apache-spark-user-list.1001560.n3.nabble.com/How-to-access-objects-declared-and-initialized-outside-the-call-method-of-JavaRDD-td17094.html#a17150
Why there is difference SQLContext is Serializable but JavaSQLContext is not?
Spark is designed like this.
Thanks
Date: Wed, 24 Dec 2014 16:23:30 +0800
From: lian.cs....@gmail.com
To: bigdat...@live.com; user@spark.apache.org
Subject: Re: Not Serializable exception when integrating SQL and Spark Streaming
Generally you can use -Dsun.io.serialization.extendedDebugInfo=true
to enable serialization debugging information when serialization
exceptions are raised.
On 12/24/14 1:32 PM,
bigdata4u wrote:
I am trying to use sql over Spark streaming using Java. But i am
getting
Serialization Exception.
public static void main(String args[]) {
SparkConf sparkConf = new SparkConf().setAppName("NumberCount");
JavaSparkContext jc = new JavaSparkContext(sparkConf);
JavaStreamingContext jssc = new JavaStreamingContext(jc, new
Duration(2000));
jssc.addStreamingListener(new WorkCountMonitor());
int numThreads = Integer.parseInt(args[3]);
Map<String,Integer> topicMap = new HashMap<String,Integer>();
String[] topics = args[2].split(",");
for (String topic : topics) {
topicMap.put(topic, numThreads);
}
JavaPairReceiverInputDStream<String,String> data =
KafkaUtils.createStream(jssc, args[0], args[1], topicMap);
data.print();
JavaDStream<Person> streamData = data.map(new Function<Tuple2<String,
String>, Person>() {
public Person call(Tuple2<String,String> v1) throws Exception {
String[] stringArray = v1._2.split(",");
Person Person = new Person();
Person.setName(stringArray[0]);
Person.setAge(stringArray[1]);
return Person;
}
});
final JavaSQLContext sqlContext = new JavaSQLContext(jc);
streamData.foreachRDD(new Function<JavaRDD<Person>,Void>() {
public Void call(JavaRDD<Person> rdd) {
JavaSchemaRDD subscriberSchema = sqlContext.applySchema(rdd,
Person.class);
subscriberSchema.registerAsTable("people");
System.out.println("all data");
JavaSchemaRDD names = sqlContext.sql("SELECT name FROM people");
System.out.println("afterwards");
List<String> males = new ArrayList<String>();
males = names.map(new Function<Row,String>() {
public String call(Row row) {
return row.getString(0);
}
}).collect();
System.out.println("before for");
for (String name : males) {
System.out.println(name);
}
return null;
}
});
jssc.start();
jssc.awaitTermination();
Exception is
14/12/23 23:49:38 ERROR JobScheduler: Error running job streaming job
1419378578000 ms.1 org.apache.spark.SparkException: Task not serializable at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:158) at
org.apache.spark.SparkContext.clean(SparkContext.scala:1435) at
org.apache.spark.rdd.RDD.map(RDD.scala:271) at
org.apache.spark.api.java.JavaRDDLike$class.map(JavaRDDLike.scala:78) at
org.apache.spark.sql.api.java.JavaSchemaRDD.map(JavaSchemaRDD.scala:42) at
com.basic.spark.NumberCount$2.call(NumberCount.java:79) at
com.basic.spark.NumberCount$2.call(NumberCount.java:67) at
org.apache.spark.streaming.api.java.JavaDStreamLike$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:274)
at
org.apache.spark.streaming.api.java.JavaDStreamLike$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:274)
at
org.apache.spark.streaming.dstream.DStream$anonfun$foreachRDD$1.apply(DStream.scala:529)
at
org.apache.spark.streaming.dstream.DStream$anonfun$foreachRDD$1.apply(DStream.scala:529)
at
org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply$mcV$sp(ForEachDStream.scala:42)
at
org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply(ForEachDStream.scala:40)
at
org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply(ForEachDStream.scala:40)
at scala.util.Try$.apply(Try.scala:161) at
org.apache.spark.streaming.scheduler.Job.run(Job.scala:32) at
org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:171)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:724)
Caused by: java.io.NotSerializableException:
org.apache.spark.sql.api.java.JavaSQLContext at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1181) at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1541)
at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1506)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175) at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1541)
at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1506)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175) at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1541)
at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1506)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1175) at
java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347) at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:73)
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:164)
... 20 more
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