Are you getting this error in local mode?
On Tue, Sep 22, 2015 at 7:34 AM, srungarapu vamsi <srungarapu1...@gmail.com> wrote: > Yes, I tried ssc.checkpoint("checkpoint"), it works for me as long as i > don't use reduceByKeyAndWindow. > > When i start using "reduceByKeyAndWindow" it complains me with the error > "Exception in thread "main" org.apache.spark.SparkException: Invalid > checkpoint directory: file:/home/ubuntu/checkpoint/342e3171-01f3-48$ > 2-97be-e3862eb5c944/rdd-8" > > The stack trace is as below: > > Exception in thread "main" org.apache.spark.SparkException: Invalid > checkpoint directory: file:/home/ubuntu/checkpoint/342e3171[22/9706$ > 2-97be-e3862eb5c944/rdd-8 > at > org.apache.spark.rdd.CheckpointRDD.getPartitions(CheckpointRDD.scala:54) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > org.apache.spark.rdd.RDDCheckpointData.doCheckpoint(RDDCheckpointData.scala:97) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1415) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at scala.collection.immutable.List.foreach(List.scala:318) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at scala.collection.immutable.List.foreach(List.scala:318) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > org.apache.spark.rdd.RDD$$anonfun$doCheckpoint$1.apply(RDD.scala:1417) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at org.apache.spark.rdd.RDD.doCheckpoint(RDD.scala:1417) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1468) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1483) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1504) > at > com.datastax.spark.connector.streaming.DStreamFunctions$$anonfun$saveToCassandra$1.apply(DStreamFunctions.scala:33) > at > com.datastax.spark.connector.streaming.DStreamFunctions$$anonfun$saveToCassandra$1.apply(DStreamFunctions.scala:33) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply(DStream.scala:534) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1.apply(DStream.scala:534) > 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$$anonfun$1.apply(ForEachDStream.scala:40) > at scala.util.Try$.apply(Try.scala:161) > at org.apache.spark.streaming.scheduler.Job.run(Job.scala:32) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:176) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:176) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:176) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) > at > org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:175) > 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:745) > > On Tue, Sep 22, 2015 at 6:49 PM, Adrian Tanase <atan...@adobe.com> wrote: > >> Have you tried simply ssc.checkpoint("checkpointā€¯)? This should create it >> in the local folder, has always worked for me when in development on local >> mode. >> >> For the others (/tmp/..) make sure you have rights to write there. >> >> -adrian >> >> From: srungarapu vamsi >> Date: Tuesday, September 22, 2015 at 7:59 AM >> To: user >> Subject: Invalid checkpoint url >> >> I am using reduceByKeyAndWindow (with inverse reduce function) in my >> code. >> In order to use this, it seems the checkpointDirectory which i have to >> use should be hadoop compatible file system. >> Does that mean that, i should setup hadoop on my system. >> I googled about this and i found in a S.O answer that i need not setup >> hdfs but the checkpoint directory should be HDFS copatible. >> >> I am a beginner in this area. I am running my spark streaming application >> on ubuntu 14.04, spark -1.3.1 >> If at all i need not setup hdfs and ext4 is hdfs compatible, then how >> does my checkpoint directory look like? >> >> i tried all these: >> ssc.checkpoint("/tmp/checkpoint") >> ssc.checkpoint("hdfs:///tmp/checkpoint") >> ssc.checkpoint("file:///tmp/checkpoint") >> >> But none of them worked for me. >> >> -- >> /Vamsi >> > > > > -- > /Vamsi >