Hi Mao,

Can you try --jars to include those jars?

Best Regards,

Jerry

Sent from my iPhone

> On 26 Jan, 2016, at 7:02 pm, Mao Geng <m...@sumologic.com> wrote:
> 
> Hi there, 
> 
> I am trying to run Spark on Mesos using a Docker image as executor, as 
> mentioned 
> http://spark.apache.org/docs/latest/running-on-mesos.html#mesos-docker-support.
>  
> 
> I built a docker image using the following Dockerfile (which is based on 
> https://github.com/apache/spark/blob/master/docker/spark-mesos/Dockerfile):
> 
> FROM mesosphere/mesos:0.25.0-0.2.70.ubuntu1404
> 
> # Update the base ubuntu image with dependencies needed for Spark
> RUN apt-get update && \
>     apt-get install -y python libnss3 openjdk-7-jre-headless curl
> 
> RUN curl 
> http://www.carfab.com/apachesoftware/spark/spark-1.6.0/spark-1.6.0-bin-hadoop2.6.tgz
>  | tar -xzC /opt && \
>     ln -s /opt/spark-1.6.0-bin-hadoop2.6 /opt/spark
> ENV SPARK_HOME /opt/spark
> ENV MESOS_NATIVE_JAVA_LIBRARY /usr/local/lib/libmesos.so
> 
> Then I successfully ran spark-shell via this docker command:
> docker run --rm -it --net=host <registry>/<image>:<tag> 
> /opt/spark/bin/spark-shell --master mesos://<master_host>:5050 --conf 
> <registry>/<image>:<tag> 
> 
> So far so good. Then I wanted to call sc.textFile to load a file from S3, but 
> I was blocked by some issues which I couldn't figure out. I've read 
> https://dzone.com/articles/uniting-spark-parquet-and-s3-as-an-alternative-to 
> and 
> http://blog.encomiabile.it/2015/10/29/apache-spark-amazon-s3-and-apache-mesos,
>  learned that I need to add hadood-aws-2.7.1 and aws-java-sdk-2.7.4 into the 
> executor and driver's classpaths, in order to access s3 files. 
> 
> So, I added following lines into Dockerfile and build a new image. 
> RUN curl 
> https://repo1.maven.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar
>  -o /opt/spark/lib/aws-java-sdk-1.7.4.jar
> RUN curl 
> http://central.maven.org/maven2/org/apache/hadoop/hadoop-aws/2.7.1/hadoop-aws-2.7.1.jar
>  -o /opt/spark/lib/hadoop-aws-2.7.1.jar
> 
> Then I started spark-shell again with below command: 
> docker run --rm -it --net=host <registry>/<image>:<tag> 
> /opt/spark/bin/spark-shell --master mesos://<master_host>:5050 --conf 
> <registry>/<image>:<tag> --conf 
> spark.executor.extraClassPath=/opt/spark/lib/hadoop-aws-2.7.1.jar:/opt/spark/lib/aws-java-sdk-1.7.4.jar
>  --conf 
> spark.driver.extraClassPath=/opt/spark/lib/hadoop-aws-2.7.1.jar:/opt/spark/lib/aws-java-sdk-1.7.4.jar
> 
> But below command failed when I ran it in spark-shell: 
> scala> sc.textFile("s3a://<bucket_name>/<file_name>").count()
> [Stage 0:>                                                          (0 + 2) / 
> 2]16/01/26 23:05:23 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, 
> ip-172-16-14-203.us-west-2.compute.internal): java.lang.RuntimeException: 
> java.lang.ClassNotFoundException: Class 
> org.apache.hadoop.fs.s3a.S3AFileSystem not found
>       at 
> org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2074)
>       at 
> org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2578)
>       at 
> org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)
>       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.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:107)
>       at 
> org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
>       at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:237)
>       at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:208)
>       at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
>       at org.apache.spark.scheduler.Task.run(Task.scala:89)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>       at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.ClassNotFoundException: Class 
> org.apache.hadoop.fs.s3a.S3AFileSystem not found
>       at 
> org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1980)
>       at 
> org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2072)
>       ... 23 more
> 
> I checked hadoop-aws-2.7.1.jar, the org.apache.hadoop.fs.s3a.S3AFileSystem 
> class file is in it. I also checked the Environment page of driver's Web UI 
> at 4040 port, both hadoop-aws-2.7.1.jar and aws-java-sdk-1.7.4.jar are in the 
> Classpath Entries (system path). And following code ran fine in spark-shell:
> scala> val clazz = Class.forName("org.apache.hadoop.fs.s3a.S3AFileSystem")
> clazz: Class[_] = class org.apache.hadoop.fs.s3a.S3AFileSystem
> 
> scala> clazz.getClassLoader()
> res2: ClassLoader = sun.misc.Launcher$AppClassLoader@770848b9
> 
> So, I am confused why the task failed with "java.lang.ClassNotFoundException" 
> Exception? Is there something wrong in the command line options I used to 
> start spark-shell, or in the docker image, or in the "s3a://" url? Or is 
> something related to the Docker executor of Mesos? I studied a bit 
> https://github.com/apache/spark/blob/branch-1.6/core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackend.scala
>  but didn't understand it well... 
> 
> Appreciate if anyone will shed some lights on me.
> 
> Thanks,
> Mao Geng
> 

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