Thank you very much, Jerry! I changed to "--jars /opt/spark/lib/hadoop-aws-2.7.1.jar,/opt/spark/lib/aws-java-sdk-1.7.4.jar" then it worked like a charm!
>From Mesos task logs below, I saw Mesos executor downloaded the jars from the driver, which is a bit unnecessary (as the docker image already has them), but that's ok - I am happy seeing Spark + Mesos + Docker + S3 worked together! Thanks, Mao 16/01/27 02:54:45 INFO Executor: Using REPL class URI: http://172.16.3.98:33771 16/01/27 02:55:12 INFO CoarseGrainedExecutorBackend: Got assigned task 0 16/01/27 02:55:12 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 16/01/27 02:55:12 INFO Executor: Fetching http://172.16.3.98:3850/jars/hadoop-aws-2.7.1.jar with timestamp 1453863280432 16/01/27 02:55:12 INFO Utils: Fetching http://172.16.3.98:3850/jars/hadoop-aws-2.7.1.jar to /tmp/spark-7b8e1681-8a62-4f1d-9e11-fdf8062b1b08/fetchFileTemp1518118694295619525.tmp 16/01/27 02:55:12 INFO Utils: Copying /tmp/spark-7b8e1681-8a62-4f1d-9e11-fdf8062b1b08/-19880839621453863280432_cache to /./hadoop-aws-2.7.1.jar 16/01/27 02:55:12 INFO Executor: Adding file:/./hadoop-aws-2.7.1.jar to class loader 16/01/27 02:55:12 INFO Executor: Fetching http://172.16.3.98:3850/jars/aws-java-sdk-1.7.4.jar with timestamp 1453863280472 16/01/27 02:55:12 INFO Utils: Fetching http://172.16.3.98:3850/jars/aws-java-sdk-1.7.4.jar to /tmp/spark-7b8e1681-8a62-4f1d-9e11-fdf8062b1b08/fetchFileTemp8868621397726761921.tmp 16/01/27 02:55:12 INFO Utils: Copying /tmp/spark-7b8e1681-8a62-4f1d-9e11-fdf8062b1b08/8167072821453863280472_cache to /./aws-java-sdk-1.7.4.jar 16/01/27 02:55:12 INFO Executor: Adding file:/./aws-java-sdk-1.7.4.jar to class loader On Tue, Jan 26, 2016 at 5:40 PM, Jerry Lam <chiling...@gmail.com> wrote: > 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 > >
