Sathish, I guess the mesos resources are not enough to run your job. You might want to check the mesos log to figure out why.
I tried to run the docker image with "--conf spark.mesos.coarse=false" and "true". Both are fine. Best, Mao On Wed, Jan 27, 2016 at 5:00 PM, Sathish Kumaran Vairavelu < vsathishkuma...@gmail.com> wrote: > Hi, > > On the same Spark/Mesos/Docker setup, I am getting warning "Initial Job > has not accepted any resources; check your cluster UI to ensure that > workers are registered and have sufficient resources". I am running in > coarse grained mode. Any pointers on how to fix this issue? Please help. I > have updated both docker.properties and spark-default.conf with > spark.mesos.executor.docker.image > and other properties. > > > Thanks > > Sathish > > On Wed, Jan 27, 2016 at 9:58 AM Sathish Kumaran Vairavelu < > vsathishkuma...@gmail.com> wrote: > >> 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 >>>>> >>>>> >>>>
