Yes, I am calling the saveAsHadoopFiles on the Dstream. However, when I call print on the Dstream it works? If I had to do foreachRDD to saveAsHadoopFile, then why is it working for print?
Also, if I am doing foreachRDD, do I need connections, or can I simply put the saveAsHadoopFiles inside the foreachRDD function? Thanks Yana for the help! I will play around with foreachRDD and convey my results. Suhas Shekar University of California, Los Angeles B.A. Economics, Specialization in Computing 2014 On Thu, Jan 8, 2015 at 6:06 PM, Yana Kadiyska <yana.kadiy...@gmail.com> wrote: > 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 <suhsheka...@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. >> >> >
