Hello Everyone, Quick followup, is there any way I can append output to one file rather then create a new directory/file every X milliseconds?
Thanks! Suhas Shekar University of California, Los Angeles B.A. Economics, Specialization in Computing 2014 On Thu, Jan 8, 2015 at 11:41 PM, Su She <suhsheka...@gmail.com> wrote: > 1) Thank you everyone for the help once again...the support here is really > amazing and I hope to contribute soon! > > 2) The solution I actually ended up using was from this thread: > http://mail-archives.apache.org/mod_mbox/spark-user/201310.mbox/%3ccafnzj5ejxdgqju7nbdqy6xureq3d1pcxr+i2s99g5brcj5e...@mail.gmail.com%3E > > in case the thread ever goes down, the soln provided by Matei: > > plans.saveAsHadoopFiles("hdfs://localhost:8020/user/hue/output/completed","csv", > String.class, String.class, (Class) TextOutputFormat.class); > > I had browsed a lot of similar threads that did not have answers, but > found this one from quite some time ago, so apologize for posting a > question that had been answered before. > > 3) Akhil, I was specifying the format as "txt", but it was not compatible > > Thanks for the help! > > > On Thu, Jan 8, 2015 at 11:23 PM, Akhil Das <ak...@sigmoidanalytics.com> > wrote: > >> saveAsHadoopFiles requires you to specify the output format which i >> believe you are not specifying anywhere and hence the program crashes. >> >> You could try something like this: >> >> Class<? extends OutputFormat<?,?>> outputFormatClass = (Class<? extends >> OutputFormat<?,?>>) (Class<?>) SequenceFileOutputFormat.class; >> 46 >> >> yourStream.saveAsNewAPIHadoopFiles(hdfsUrl, >> "/output-location",Text.class, Text.class, outputFormatClass); >> >> >> >> Thanks >> Best Regards >> >> On Fri, Jan 9, 2015 at 10:22 AM, Su She <suhsheka...@gmail.com> wrote: >> >>> 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. >>> >>> >>> >>> 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. >>>>> >>>>> >>>> >>> >> >
