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.
