Thanks a lot for your info! I will try this today. On Wed, Jan 27, 2016 at 9:29 AM Mao Geng <m...@sumologic.com> wrote:
> Hi Sathish, > > The docker image is normal, no AWS profile included. > > When the driver container runs with --net=host, the driver host's AWS > profile will take effect so that the driver can access the protected s3 > files. > > Similarly, Mesos slaves also run Spark executor docker container in > --net=host mode, so that the AWS profile of Mesos slaves will take effect. > > Hope it helps, > Mao > > On Jan 26, 2016, at 9:15 PM, Sathish Kumaran Vairavelu < > vsathishkuma...@gmail.com> wrote: > > Hi Mao, > > I want to check on accessing the S3 from Spark docker in Mesos. The EC2 > instance that I am using has the AWS profile/IAM included. Should we build > the docker image with any AWS profile settings or --net=host docker option > takes care of it? > > Please help > > > Thanks > > Sathish > > On Tue, Jan 26, 2016 at 9:04 PM Mao Geng <m...@sumologic.com> wrote: > >> 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 >>> >>> >>
