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From Yana Kadiyska <yana.kadiy...@gmail.com>
Subject Re: Getting Output From a Cluster
Date Fri, 09 Jan 2015 02:06:30 GMT
are you calling the saveAsText files on the DStream --looks like it? Look
at the section called "Design Patterns for using foreachRDD" in the link
you sent -- you want to do  dstream.foreachRDD(rdd => rdd.saveAs....)

On Thu, Jan 8, 2015 at 5:20 PM, Su She <suhshekar52@gmail.com> wrote:

> Hello Everyone,
>
> Thanks in advance for the help!
>
> I successfully got my Kafka/Spark WordCount app to print locally. However,
> I want to run it on a cluster, which means that I will have to save it to
> HDFS if I want to be able to read the output.
>
> I am running Spark 1.1.0, which means according to this document:
> https://spark.apache.org/docs/1.1.0/streaming-programming-guide.html
>
> I should be able to use commands such as saveAsText/HadoopFiles.
>
> 1) When I try saveAsTextFiles it says:
> cannot find symbol
> [ERROR] symbol  : method saveAsTextFiles(java.lang.String,java.lang.String)
> [ERROR] location: class
> org.apache.spark.streaming.api.java.JavaPairDStream<java.lang.String,java.lang.Integer>
>
> This makes some sense as saveAsTextFiles is not included here:
>
> http://people.apache.org/~tdas/spark-1.1.0-temp-docs/api/java/org/apache/spark/streaming/api/java/JavaPairDStream.html
>
> 2) When I try
> saveAsHadoopFiles("hdfs://ip....us-west-1.compute.internal:8020/user/testwordcount",
> "txt") it builds, but when I try running it it throws this exception:
>
> Exception in thread "main" java.lang.RuntimeException:
> java.lang.RuntimeException: class scala.runtime.Nothing$ not
> org.apache.hadoop.mapred.OutputFormat
>         at
> org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2079)
>         at
> org.apache.hadoop.mapred.JobConf.getOutputFormat(JobConf.java:712)
>         at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1021)
>         at
> org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:940)
>         at
> org.apache.spark.streaming.dstream.PairDStreamFunctions$$anonfun$8.apply(PairDStreamFunctions.scala:632)
>         at
> org.apache.spark.streaming.dstream.PairDStreamFunctions$$anonfun$8.apply(PairDStreamFunctions.scala:630)
>         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.lang.RuntimeException: class scala.runtime.Nothing$ not
> org.apache.hadoop.mapred.OutputFormat
>         at
> org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2073)
>         ... 14 more
>
>
> Any help is really appreciated! Thanks.
>
>

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