accessing alluxio mounts from spark

[bobby.ch...@gmail.com]

is there a way to access alluxio(1.2.0) mounts (s3a underfs) from spark(1.6.2) without specifying alluxio master hostname and port? I tried setting env variables ALLUXIO_MASTER_HOSTNAME and ALLUXIO_MASTER_ADDRESS with no luck. I get below exception

java.lang.NullPointerException: URI hostname must not be null

at com.google.common.base.Preconditions.checkNotNull(Preconditions.java:208)
at alluxio.hadoop.AbstractFileSystem.initialize(AbstractFileSystem.java:393)
at alluxio.hadoop.FileSystem.initialize(FileSystem.java:25)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$11.apply(ResolvedDataSource.scala:171)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$$anonfun$11.apply(ResolvedDataSource.scala:169)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:108)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:169)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:109)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:60)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:71)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:73)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:75)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:77)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:79)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:81)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:83)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:85)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:87)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:89)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:91)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:93)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:95)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:97)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:99)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:101)
at $iwC$$iwC$$iwC.<init>(<console>:103)
at $iwC$$iwC.<init>(<console>:105)
at $iwC.<init>(<console>:107)
at <init>(<console>:109)
at .<init>(<console>:113)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at notebook.kernel.Repl$$anonfun$6.apply(Repl.scala:199)
at notebook.kernel.Repl$$anonfun$6.apply(Repl.scala:199)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
at scala.Console$.withOut(Console.scala:126)
at notebook.kernel.Repl.evaluate(Repl.scala:198)
at notebook.client.ReplCalculator$$anonfun$10$$anon$1$$anonfun$27.replEvaluate$1(ReplCalculator.scala:396)
at notebook.client.ReplCalculator$$anonfun$10$$anon$1$$anonfun$27.apply(ReplCalculator.scala:409)
at notebook.client.ReplCalculator$$anonfun$10$$anon$1$$anonfun$27.apply(ReplCalculator.scala:390)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107

 

Thanks

 

 

[bobby.ch...@gmail.com]

I solved this by setting spark.hadoop.defaultFS property to alluxio://<MASTER>:<PORT> alternatively, once you care spark context you can  sc.hadoppConfiguration.set("fs.DefaultFS", "alluxio://<MASTER>:<PORT>")

[Bin Fan]

glad to hear that you solved this problem and thanks for sharing your solution.

Bin

--
You received this message because you are subscribed to the Google Groups "Alluxio Users" group.
To unsubscribe from this group and stop receiving emails from it, send an email to alluxio-users+unsubscribe@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.