Spark + Mesos cluster mode, who uploads the jar? - apache-spark

Question

I'm trying to run Spark applications with Mesos cluster mode. (I've got client mode working but still would like to try cluster mode)
I have launched spark-mesos-dispatcher on the Mesos master node.
When I submit the assembly at local path /tmp/assembly.jar using the following command,
bin/spark-submit --master mesos://dispatcher:7077 --deploy-mode cluster --class com.example.Example /tmp/assembly.jar
It fails because the file /tmp/assembly.jar does not exist on the mesos slave nodes.
I1129 10:47:43.839771 5884 fetcher.cpp:414] Fetcher Info: {"cache_directory":"\/tmp\/mesos\/fetch\/slaves\/9d725348-931a-48fb-96f7-d29a4b09f3e8-S9\/deploy","items":[{"action":"BYPASS_CACHE","uri":{"extract":true,"value":"\/tmp\/assembly.jar"}}],"sandbox_directory":"\/var\/lib\/mesos\/slaves\/9d725348-931a-48fb-96f7-d29a4b09f3e8-S9\/frameworks\/9d725348-931a-48fb-96f7-d29a4b09f3e8-0291\/executors\/driver-20151129104742-0008\/runs\/31bf5840-226e-4b87-ae76-d14bd2f17950","user":"user"}
I1129 10:47:43.840710 5884 fetcher.cpp:369] Fetching URI '/tmp/assembly.jar'
I1129 10:47:43.840721 5884 fetcher.cpp:243] Fetching directly into the sandbox directory
I1129 10:47:43.840731 5884 fetcher.cpp:180] Fetching URI '/tmp/assembly.jar'
I1129 10:47:43.840737 5884 fetcher.cpp:160] Copying resource with command:cp '/tmp/assembly.jar' '/var/lib/mesos/slaves/9d725348-931a-48fb-96f7-d29a4b09f3e8-S9/frameworks/9d725348-931a-48fb-96f7-d29a4b09f3e8-0291/executors/driver-20151129104742-0008/runs/31bf5840-226e-4b87-ae76-d14bd2f17950/assembly.jar'
cp: cannot stat `/tmp/assembly.jar': No such file or directory
Failed to fetch '/tmp/assembly.jar': Failed to copy with command 'cp '/tmp/assembly.jar' '/var/lib/mesos/slaves/9d725348-931a-48fb-96f7-d29a4b09f3e8-S9/frameworks/9d725348-931a-48fb-96f7-d29a4b09f3e8-0291/executors/driver-20151129104742-0008/runs/31bf5840-226e-4b87-ae76-d14bd2f17950/assembly.jar'', exit status: 256
Failed to synchronize with slave (it's probably exited)
In case of YARN cluster mode, Spark's YARN client implementation will upload the application jar to HDFS so that the driver and all executors have access to the jar, but I could not find such code in RestSubmissionClient, which is used by Mesos or Standalond cluster mode.
Who does the uploading in this case? or do I need to manually put the application assembly somewhere accessible via an HTTP URI?

Answer 1

From my understanding you could use the SparkContext addJar() method to add a local (to the driver application) JAR file path, which will then be distributed to the executor nodes (in client mode).
As you state that you want to use cluster mode, I'd suggest that you have a look at the Spark Jobserver project, which should make the running of Spark applications on Mesos easier than with the built-in tools.