pacted?
>
>
> Thanks,
> Swetha
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p24041.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> -
performance
be impacted?
Thanks,
Swetha
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p24041.html
Sent from the Apache Spark User List mailing list archive at Nabble.com
.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p10940.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
intln(sqlreport)
//sqlreport.foreach(println)
sqlreport.saveAsTextFile("/home/ubuntu/spark-1.0.0/external/jsonfile2/"+datenow)
})
//results.print()
ssc.start()
ssc.awaitTermination()
}
Thanks,
-Srinivas
--
View this message in context:
http://apache-spark-user-list.1001560.
Hi TD,
It Worked...Thank you so much for all your help.
Thanks,
-Srinivas.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p10132.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
t
>
> 14/07/17 17:11:30 ERROR Executor: Exception in task ID 6
> java.lang.ClassCastException: java.lang.String cannot be cast to
> java.lang.Integer
> at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106)
>
> Basically i am trying to do max operation in my
let me know if their any work around solution for this.
Thanks,
-Srinivas.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p10060.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
gt;>
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
>> at scala.Option.foreach(Option.scala:236)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
>> at
>>
>> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>> at
>>
>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>> at
>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>> at
>>
>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>> at
>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>> at
>>
>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>
>>
>> I am trying to enter data to kafka like
>> {"type":"math","name":"srinivas","score":"10","school":"lfs"}
>>
>> I am thinking of some thing wrong with input RDD. Please let me know whats
>> causing this error.
>>
>> Thanks,
>> -Srinivas.
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9933.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
>
>
iveMessage(ActorCell.scala:498)
> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
> at
>
> akka.dispatch.ForkJoinExecutorConfigurator$Ak
urrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
I am trying to enter data to kafka like
{"type":"math","name":"srinivas","score":"10","school":"lfs"}
I am thinking of some thing wrong with
e for Record
> [error] recrdd.registerAsTable("table1")
> [error] ^
> [error] one error found
> [error] (compile:compile) Compilation failed
> [error] Total time: 17 s, completed Jul 16, 2014 3:11:53 AM
>
>
> Please advice me on how to proceed
>
> Thanks,
> -Srinivas.
>
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9868.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
led
[error] Total time: 17 s, completed Jul 16, 2014 3:11:53 AM
Please advice me on how to proceed
Thanks,
-Srinivas.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9868.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
one error found
> [error] (compile:compile) Compilation failed
>
>
> Please look into this and let me know if i am missing any thing.
>
> Thanks,
> -Srinivas.
>
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9816.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
now if i am missing any thing.
Thanks,
-Srinivas.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9816.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
ving me
> jsonfile.scala:30: value registerAsTable is not a member of
> org.apache.spark.rdd.RDD[(Any, Any, Any, Any)]
>
> Please let me know if i am missing any thing.
> And using Spark Streaming can i really use sql kind of operations on
> Dstreams?
>
>
>
>
>
&g
ssage in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9714.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
to proceed from here.
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618p9661.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
like to what transformation should i do
to my existing dstream.I am very new to dealing with maps and dstream
transformations..so please advise on how to proceed from here.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-functio
like to what transformation should i do
to my existing dstream.I am very new to dealing with maps and dstream
transformations..so please advise on how to proceed from here.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-functio
yone please Let me know how to use groupby function..thanks
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
mutable.Map[String,
Any]])
jsonf.print()
ssc.start()
ssc.awaitTermination()
}
Can anyone please Let me know how to use groupby function..thanks
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-Json-file-groupby-function-tp9618.html
21 matches
Mail list logo
