We have a small mesos cluster and these slaves need to have a vfs setup on them 
so that the slaves can pull down the data they need from S3 when spark runs.

There doesn’t seem to be any obvious way online on how to do this or how easily 
accomplish this. Does anyone have some best practices or some ideas about how 
to accomplish this?

An example stack trace when a job is ran on the mesos cluster…

Any idea how to get this going? Like somehow bootstrapping spark on run or 
something?

Thanks,
Steve


java.io.IOException: Unsupported scheme s3n for URI s3n://removed
        at com.coldlight.ccc.vfs.NeuronPath.toPath(NeuronPath.java:43)
        at 
com.coldlight.neuron.data.ClquetPartitionedData.makeInputStream(ClquetPartitionedData.java:465)
        at 
com.coldlight.neuron.data.ClquetPartitionedData.access$200(ClquetPartitionedData.java:42)
        at 
com.coldlight.neuron.data.ClquetPartitionedData$Iter.<init>(ClquetPartitionedData.java:330)
        at 
com.coldlight.neuron.data.ClquetPartitionedData.compute(ClquetPartitionedData.java:304)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
        at org.apache.spark.scheduler.Task.run(Task.scala:64)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
15/05/12 13:57:51 ERROR Executor: Exception in task 0.1 in stage 0.0 (TID 1)
java.lang.RuntimeException: java.io.IOException: Unsupported scheme s3n for URI 
s3n://removed
        at 
com.coldlight.neuron.data.ClquetPartitionedData.compute(ClquetPartitionedData.java:307)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
        at org.apache.spark.scheduler.Task.run(Task.scala:64)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Unsupported scheme s3n for URI s3n://removed
        at com.coldlight.ccc.vfs.NeuronPath.toPath(NeuronPath.java:43)
        at 
com.coldlight.neuron.data.ClquetPartitionedData.makeInputStream(ClquetPartitionedData.java:465)
        at 
com.coldlight.neuron.data.ClquetPartitionedData.access$200(ClquetPartitionedData.java:42)
        at 
com.coldlight.neuron.data.ClquetPartitionedData$Iter.<init>(ClquetPartitionedData.java:330)
        at 
com.coldlight.neuron.data.ClquetPartitionedData.compute(ClquetPartitionedData.java:304)
        ... 8 more

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