Your app is fine, I think the error has to do with the way inttelij
launches applications. Is your app forked in a new jvm when you run it?
On Wed, Sep 21, 2016 at 2:28 PM, Gokula Krishnan D <email2...@gmail.com>
wrote:
> Hello Sumit -
>
> I could see that SparkConf() specification is not being mentioned in your
> program. But rest looks good.
>
>
>
> Output:
>
>
> By the way, I have used the README.md template https://
> gist.github.com/jxson/1784669
>
> Thanks & Regards,
> Gokula Krishnan* (Gokul)*
>
> On Tue, Sep 20, 2016 at 2:15 AM, Chawla,Sumit <sumitkcha...@gmail.com>
> wrote:
>
>> Hi All
>>
>> I am trying to test a simple Spark APP using scala.
>>
>>
>> import org.apache.spark.SparkContext
>>
>> object SparkDemo {
>> def main(args: Array[String]) {
>> val logFile = "README.md" // Should be some file on your system
>>
>> // to run in local mode
>> val sc = new SparkContext("local", "Simple App",
>> ""PATH_OF_DIRECTORY_WHERE_COMPILED_SPARK_PROJECT_FROM_GIT")
>>
>> val logData = sc.textFile(logFile).cache()
>> val numAs = logData.filter(line => line.contains("a")).count()
>> val numBs = logData.filter(line => line.contains("b")).count()
>>
>>
>> println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
>>
>> }
>> }
>>
>>
>> When running this demo in IntelliJ, i am getting following error:
>>
>>
>> java.lang.IllegalStateException: unread block data
>> at
>> java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2449)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1385)
>> at
>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2018)
>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
>> at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808)
>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373)
>> at
>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
>> at
>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:253)
>> 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 guess its associated with task not being deserializable. Any help will be
>> appreciated.
>>
>>
>>
>> Regards
>> Sumit Chawla
>>
>>
>
