OK. Rad, i don't think this is caused by docker compatible.

2015-09-17 15:54 GMT+08:00 Rad Gruchalski <[email protected]>:

> I found a fix. It’s rather obvious: build on the same system you’re going
> to deploy to.
> Scala Spark Notebook built on 14.04 and running on 14.04 works without any
> issues.
>
> Kind regards,
> Radek Gruchalski
> [email protected] <[email protected]>
> de.linkedin.com/in/radgruchalski/
>
>
> *Confidentiality:*This communication is intended for the above-named
> person and may be confidential and/or legally privileged.
> If it has come to you in error you must take no action based on it, nor
> must you copy or show it to anyone; please delete/destroy and inform the
> sender immediately.
>
> On Wednesday, 16 September 2015 at 22:20, Rad Gruchalski wrote:
>
> Dear list,
>
> I’m here for the first time so I do apologise if I’m misbehaving. I am
> currently trying running Scala Spark Notebook on Mesos with Docker in
> bridge networking. I would like to launch spark executors using the
> cluster, the master is running on. This requires registering a framework
> from inside of the container and being able to accept the offers back
> inside. I found out that the necessary settings, LIBPROCESS_ADVERTISE_IP
> and LIBPROCESS_ADVERTISE_PORT, were added in mesos 0.24.0, which seems to
> be released (at least tagged in git). I have the cluster running mesos
> 0.24.0 and this seems to be behaving really good so far.
> However, I’m having a problem with the Spark Notebook docker image.
>
> The way I build mesos itself, I use mesosphere/mesos-deb-packaging:
>
>     git clone https://github.com/mesosphere/mesos-deb-packaging.git .
>     git checkout d7e5b7b5a8a04b11eaee6a1f9a0962ef3e77864a
>
> And I’m applying this patch (mesos 0.24.0):
>
>     diff --git a/build_mesos b/build_mesos
>     index 81561bc..f756ef0 100755
>     --- a/build_mesos
>     +++ b/build_mesos
>     @@ -313,9 +313,10 @@ function deb_ {
>                     --deb-recommends zookeeperd
>                     --deb-recommends zookeeper-bin
>                     -d 'java-runtime-headless'
>     -               -d libcurl3
>     -               -d libsvn1
>     -               -d libsasl2-modules
>     +               -d libcurl4-nss-dev
>     +               -d libsasl2-dev
>     +               -d libapr1-dev
>     +               -d libsvn-dev
>                     --after-install "$this/$asset_dir/mesos.postinst"
>                     --after-remove "$this/$asset_dir/mesos.postrm" )
>        rm -f "$this”/pkg.deb
>
> My mesos setup
>
>     git clone https://github.com/apache/mesos.git .
>     git fetch origin
>     git checkout 0.24.0
>
> Having gcc-4.9.2, oracle-java7-installer and the following installed
> (ubuntu 12.04):
>
>     apt-get install -y autoconf libtool
>     apt-get install -y python-dev python-boto libcurl4-nss-dev
> libsasl2-dev maven libapr1-dev libsvn-dev git-core
> software-properties-common \
>                            python-software-properties ruby1.9.1
> ruby1.9.1-dev \
>                            build-essential libxslt-dev libxml2-dev \
>                            wget zlibc zlib1g zlib1g-dev
>     gem install fpm --no-ri --no-rdoc
>
> Building mesos with command:
>
>     mkdir -p versions/0.24.0
>     cd versions/0.24.0
>     git clone https://github.com/apache/mesos.git .
>     git fetch origin
>     git checkout 0.24.0
>     cd ../..
>     ./build_mesos --src-dir versions/0.24.0
>
> Gives me a DEB package which can be successfully installed on a clean
> ubuntu:14.04 docker image by installing only these:
>
>     apt-get install -y openjdk-7-jre build-essential python-dev
> python-boto libcurl4-nss-dev libsasl2-dev maven libapr1-dev libsvn-dev
>
> I build on ubuntu:12.04. The solution needs to run on 12.04.
>
> This is how I build the notebook, there are 2 images, the first one tagged
> as myorg/openjdk-7-jre-trusty, the second generated by sbt, however the
> most important commands are listed.
>
>     # myorg/openjdk-7-jre-trusty
>     FROM ubuntu:trusty
>     MAINTAINER ...
>     RUN \
>       apt-get update && \
>       apt-get install -y openjdk-7-jre && \
>       rm -rf /var/lib/apt/lists/*
>     ENV JAVA_HOME /usr/lib/jvm/java-7-openjdk-amd64
>
> The notebook itself:
>
>     FROM myorg/openjdk-7-jre-trusty
>     MAINTAINER …
>     RUN apt-get update -y && apt-get install -y wget build-essential
> python-dev python-boto libcurl4-nss-dev libsasl2-dev maven libapr1-dev
> libsvn-dev
>     RUN cd /tmp && wget
> https://to.my/location/where/I/store/built/mesos-0.24.0.deb && dpkg -i
> mesos-0.24.0.deb
>     ENV MESOS_JAVA_NATIVE_LIBRARY /usr/lib/libmesos.so
>     ENV MESOS_LOG_DIR /var/log/mesos
>
> I attempt running this code in Spark Notebook:
>
>     # all the hosts used are resolvable, files can be accessed on HDFS:
>     reset("spark-notebook-tests", lastChanges = (c:SparkConf) => {
>       c.set("spark.mesos.executor.uri",
> "hdfs:///resources/spark-1.4.1-cdh4.tar.gz")
>        .set("spark.master",
> "mesos://zk://zookeeper-0:2181,zookeeper-1:2181,zookeeper-2:2181/mesos")
>        .set("spark.local.dir", System.getenv("MESOS_SANDBOX"))
>     })
>
> Spark notebook launched with this command:
>
>     export LIBPROCESS_PORT=10000; export
> LIBPROCESS_ADVERTISE_IP=10.XXX.XXX.XXX; export
> LIBPROCESS_ADVERTISE_PORT=$PORT1; /opt/docker/bin/spark-notebook
>
> The result should be: at least a trace in logs that the offers can’t be
> sent and framework registration attempt. Instead, I receive an error,
> listed below:
>
>     java.lang.UnsatisfiedLinkError: /usr/lib/libmesos-0.24.0.so:
> /usr/lib/x86_64-linux-gnu/libcurl-nss.so.4: version `CURL_3' not found
> (required by /usr/lib/libmesos-0.24.0.so)
>       at java.lang.ClassLoader$NativeLibrary.load(Native Method)
>       at java.lang.ClassLoader.loadLibrary1(ClassLoader.java:1965)
>       at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1890)
>       at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1880)
>       at java.lang.Runtime.loadLibrary0(Runtime.java:849)
>       at java.lang.System.loadLibrary(System.java:1088)
>       at
> org.apache.mesos.MesosNativeLibrary.load(MesosNativeLibrary.java:54)
>       at
> org.apache.mesos.MesosNativeLibrary.load(MesosNativeLibrary.java:79)
>       at
> org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2537)
>       at org.apache.spark.SparkContext.<init>(SparkContext.scala:489)
>       at $iwC$$iwC$$anon$1.reset(<console>:71)
>       at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>       at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>       at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>       at java.lang.reflect.Method.invoke(Method.java:606)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:57)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:59)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:61)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:63)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:65)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:67)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:69)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:71)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:73)
>       at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:75)
>       at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:77)
>       at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:79)
>       at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:81)
>       at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:83)
>       at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:85)
>       at $iwC$$iwC$$iwC$$iwC.<init>(<console>:87)
>       at $iwC$$iwC$$iwC.<init>(<console>:89)
>       at $iwC$$iwC.<init>(<console>:91)
>       at $iwC.<init>(<console>:93)
>       at <init>(<console>:95)
>       at .<init>(<console>:99)
>       at .<clinit>(<console>)
>       at .<init>(<console>:7)
>       at .<clinit>(<console>)
>       at $print(<console>)
>       at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>       at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>       at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>       at java.lang.reflect.Method.invoke(Method.java:606)
>       at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
>       at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
>       at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
>       at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
>       at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
>       at notebook.kernel.Repl$$anonfun$3.apply(Repl.scala:173)
>       at notebook.kernel.Repl$$anonfun$3.apply(Repl.scala:173)
>       at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
>       at scala.Console$.withOut(Console.scala:126)
>       at notebook.kernel.Repl.evaluate(Repl.scala:172)
>       at
> notebook.client.ReplCalculator$$anonfun$10$$anon$1$$anonfun$22.apply(ReplCalculator.scala:348)
>       at
> notebook.client.ReplCalculator$$anonfun$10$$anon$1$$anonfun$22.apply(ReplCalculator.scala:345)
>       at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
>       at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
>       at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
>       at
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
>       at
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>       at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>       at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>       at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>
> I am not sure if I understand the dependencies wrong or there’s another
> issue. I have seen this issue mentioned twice in google cache of IRC
> channels. No solution though. What could be possibly wrong here?
> Any pointers appreciated.
>
> Kind regards,
> Radek Gruchalski
> [email protected] <[email protected]>
> de.linkedin.com/in/radgruchalski/
>
>
> *Confidentiality:*This communication is intended for the above-named
> person and may be confidential and/or legally privileged.
> If it has come to you in error you must take no action based on it, nor
> must you copy or show it to anyone; please delete/destroy and inform the
> sender immediately.
>
>
>


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