I'm learning spark2.1.0, and I'm now writing spark WordCount on eclipse.
My spark in running on remote machine and its name is c1. The master is spark://c1:7077
My file is on hadoop2.3.7. The input file is on hdfs://c1:9000/tmp/README.md
This is my code:
import java.util.Arrays;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import scala.Tuple2;
public class WordCount {
public static void main(String[] args) {
String input = "hdfs://c1:9000/tmp/README.md";
String output = "hdfs://c1:9000/tmp/output";
SparkConf conf = new SparkConf().setAppName("Word Count").setMaster("spark://c1:7077");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> textFile = sc.textFile(input);
JavaPairRDD<String, Integer> counts = textFile
.flatMap(s -> Arrays.asList(s.split(" ")).iterator())
.mapToPair(word -> new Tuple2<>(word, 1))
.reduceByKey((a, b) -> a + b);
counts.saveAsTextFile(output);
sc.close();
}
}
When I run it on my eclipse, I encountered the problem.
17/03/12 22:25:50 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, 192.168.122.2, executor 1): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$1$1.f$3 of type org.apache.spark.api.java.function.FlatMapFunction in instance of org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$1$1
at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2237)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:479)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1058)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2122)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
I searched this problem on google. I find the same problem. In the comment I saw Check that the class containing the lambda expression, i.e. SparkDemo is available on the remote side.. I can not understand this sentence. I can only run my program on the spark machine? So I have to copy my program to c1 and run the program on c1?
So my question is: How can I run my program on my computer not on c1?
I don't think my question is duplicate of this question. The answer which get 19 supports explain how do that problem occur. Then I tried using setJars method but the problem still exist.
