Hello Jhon, Conceptually this makes sense, since Zeppelin creates a spark application for the execution runtime underneath its frontend process.
Having said this, depending on how Zeppelin is implemented, it might be required for the driver to be collocated with the zeppelin process on the same host (remember the Zeppelin notebook process needs to “talk” to the spark driver process, this might be done via a child process). I certainly can see how a collocated design would be simpler to implement for the Zeppelin contributors which may have considered the functionality you have described but for a later release date. So this is not a definitive answer (I don’t know the actual answer) but I would not expect this kind of setup to be supported yet. (I tried to make it work and could not get the spark kernel to start so I just reverted to a client deploy mode instead of cluster – since this option was acceptable to me). I would be curious to see if that is possible tough and how that would be configured. I hope this helps (a bit). Best, Raphael From: Jhon Anderson Cardenas Diaz <jhonderson2...@gmail.com> Reply-To: "us...@zeppelin.apache.org" <us...@zeppelin.apache.org> Date: Tuesday, March 13, 2018 at 4:24 PM To: "dev@zeppelin.apache.org" <dev@zeppelin.apache.org>, "us...@zeppelin.apache.org" <us...@zeppelin.apache.org> Subject: Zeppelin - Spark Driver location Hi zeppelin users ! I am working with zeppelin pointing to a spark in standalone. I am trying to figure out a way to make zeppelin runs the spark driver outside of client process that submits the application. According with the documentation (http://spark.apache.org/docs/2.1.1/spark-standalone.html): For standalone clusters, Spark currently supports two deploy modes. In client mode, the driver is launched in the same process as the client that submits the application. In cluster mode, however, the driver is launched from one of the Worker processes inside the cluster, and the client process exits as soon as it fulfills its responsibility of submitting the application without waiting for the application to finish. The problem is that, even when I set the properties for spark-standalone cluster and deploy mode in cluster, the driver still run inside zeppelin machine (according with spark UI/executors page). These are properties that I am setting for the spark interpreter: master: spark://<master-name>:7077 spark.submit.deployMode: cluster spark.executor.memory: 16g Any ideas would be appreciated. Thank you Details: Spark version: 2.1.1 Zeppelin version: 0.8.0 (merged at September 2017 version)
