Just to be sure: you use yarn cluster (not standalone), right ?
Regards JB On 11/02/2015 10:37 AM, Balachandar R.A. wrote:
Yes. In two different places I use spark:// 1. In my code, while creating spark configuration, I use the code below val sConf = new SparkConf().setAppName("Dummy").setMaster("spark://<myHost>:7077") val sConf = val sc = new SparkContext(sConf) 2. I run the job using the command below spark-submit --class org.myjob --jars myjob.jar spark://<myHost>:7077 myjob.jar regards Bala On 2 November 2015 at 14:59, Romi Kuntsman <r...@totango.com <mailto:r...@totango.com>> wrote: except "spark.master", do you have "spark://" anywhere in your code or config files? *Romi Kuntsman*, /Big Data Engineer/_ _ http://www.totango.com <http://www.totango.com/> On Mon, Nov 2, 2015 at 11:27 AM, Balachandar R.A. <balachandar...@gmail.com <mailto:balachandar...@gmail.com>> wrote: ---------- Forwarded message ---------- From: "Balachandar R.A." <balachandar...@gmail.com <mailto:balachandar...@gmail.com>> Date: 02-Nov-2015 12:53 pm Subject: Re: Error : - No filesystem for scheme: spark To: "Jean-Baptiste Onofré" <j...@nanthrax.net <mailto:j...@nanthrax.net>> Cc: > HI JB, > Thanks for the response, > Here is the content of my spark-defaults.conf > > > # Default system properties included when running spark-submit. > # This is useful for setting default environmental settings. > > # Example: > spark.master spark://fdoat:7077 > # spark.eventLog.enabled true > spark.eventLog.dir /home/bala/spark-logs > # spark.eventLog.dir hdfs://namenode:8021/directory > # spark.serializer org.apache.spark.serializer.KryoSerializer > # spark.driver.memory 5g > # spark.executor.extraJavaOptions -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three" > > > regards > Bala > > On 2 November 2015 at 12:21, Jean-Baptiste Onofré <j...@nanthrax.net <mailto:j...@nanthrax.net>> wrote: >> >> Hi, >> >> do you have something special in conf/spark-defaults.conf (especially on the eventLog directory) ? >> >> Regards >> JB >> >> >> On 11/02/2015 07:48 AM, Balachandar R.A. wrote: >>> >>> Can someone tell me at what point this error could come? >>> >>> In one of my use cases, I am trying to use hadoop custom input format. >>> Here is my code. >>> >>> |valhConf:Configuration=sc.hadoopConfiguration >>> hConf.set("fs.hdfs.impl",classOf[org.apache.hadoop.hdfs.DistributedFileSystem].getName)hConf.set("fs.file.impl",classOf[org.apache.hadoop.fs.LocalFileSystem].getName)varjob >>> =newJob(hConf)FileInputFormat.setInputPaths(job,newPath("hdfs:///user/bala/MyBinaryFile"));varhRDD >>> =newNewHadoopRDD(sc,classOf[RandomAccessInputFormat],classOf[IntWritable],classOf[BytesWritable],job.getConfiguration())valcount >>> =hRDD.mapPartitionsWithInputSplit{(split,iter)=>myfuncPart(split,iter)}| >>> >>> |The moment I invoke mapPartitionsWithInputSplit() method, I get the >>> below error in my spark-submit launch| >>> >>> | >>> | >>> >>> |15/10/3011:11:39WARN scheduler.TaskSetManager:Losttask 0.0in stage >>> 0.0(TID 0,40.221.94.235):java.io.IOException:NoFileSystemforscheme:spark >>> at >>> org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2584)at >>> org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)at >>> org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)| >>> >>> Any help here to move towards fixing this will be of great help >>> >>> >>> >>> Thanks >>> >>> Bala >>> >> >> -- >> Jean-Baptiste Onofré >> jbono...@apache.org <mailto:jbono...@apache.org> >> http://blog.nanthrax.net >> Talend - http://www.talend.com >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org <mailto:user-unsubscr...@spark.apache.org> >> For additional commands, e-mail: user-h...@spark.apache.org <mailto:user-h...@spark.apache.org> >> >
-- Jean-Baptiste Onofré jbono...@apache.org http://blog.nanthrax.net Talend - http://www.talend.com --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org