Sathish, The constraint you described is Marathon's, not Mesos's :)
Spark.mesos.constraints are applied to slave attributes like tachyon=true ;us-east-1=false, as described in https://issues.apache.org/jira/browse/SPARK-6707. Cheers, -Mao On Fri, Jan 29, 2016 at 2:51 PM, Sathish Kumaran Vairavelu < vsathishkuma...@gmail.com> wrote: > Hi > > Quick question. How to pass constraint [["hostname", "CLUSTER", " > specific.node.com"]] to mesos? > > I was trying --conf spark.mesos.constraints=hostname:specific.node.com. > But it didn't seems working > > > Please help > > > Thanks > > Sathish > > On Thu, Jan 28, 2016 at 6:52 PM Mao Geng <m...@sumologic.com> wrote: > >> From my limited knowledge, only limited options such as network mode, >> volumes, portmaps can be passed through. See >> https://github.com/apache/spark/pull/3074/files. >> >> https://issues.apache.org/jira/browse/SPARK-8734 is open for exposing >> all docker options to spark. >> >> -Mao >> >> On Thu, Jan 28, 2016 at 1:55 PM, Sathish Kumaran Vairavelu < >> vsathishkuma...@gmail.com> wrote: >> >>> Thank you., I figured it out. I have set executor memory to minimal and >>> it works., >>> >>> Another issue has come.. I have to pass --add-host option while running >>> containers in slave nodes.. Is there any option to pass docker run >>> parameters from spark? >>> On Thu, Jan 28, 2016 at 12:26 PM Mao Geng <m...@sumologic.com> wrote: >>> >>>> 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 >>>>>>>>> >>>>>>>>> >>>>>>>> >>>> >>
