Hi Moon, Sorry, a few more questions.
My cluster is a mapr cluster. If I want to install zeppelin on one edge node and multiple users access that zeppelin, how do I set up multiple users to run jobs and access data in MapR cluster using their own accounts? If I want to install zeppelin on every users' desktop and let them to access MapR from their own desktops, how do I install zeppelin on their windows desktops? Is there any guide somewhere? Thanks, York On 7 September 2016 at 10:06, York Huang <yorkhuang.d...@gmail.com> wrote: > Hi Moon, > > More questions. > > If I set up the MapR cluster in secure mode, how do I set up zeppelin? > > Thanks, > > York > > On 6 September 2016 at 17:16, York Huang <yorkhuang.d...@gmail.com> wrote: > >> Hi Moon, >> >> Thanks for your response. >> >> I have a MapR 4.1 cluster and would like to use zeppelin on it. If I >> install zeppelin on an edge node, what security should I set up? The online >> document is a bit confusing. Basically, I want to set up every users have >> their own account (either AD or newly created zeppelin account). >> >> Is there any guide? >> >> Thanks, >> >> York >> >> On 5 September 2016 at 07:31, moon soo Lee <m...@apache.org> wrote: >> >>> Hi York, >>> >>> Thanks for the question. >>> >>> 1. How you install zeppelin is up to you and your use case. You can >>> either run single instances of Zeppelin and configure authentication and >>> let many user login, or let each user run their own Zeppelin instance. >>> I see both use cases from users, and it really depends on your >>> environment. >>> >>> 2. From 0.6.0 release, Zeppelin ships python interpreter. You can try >>> %python. >>> >>> 3. You can run Zeppelin on windows by running bin/zeppelin.cmd >>> >>> 4. Interpreter can share data through resource pool. You can think >>> resource pool as a distributed map across all interpreters. Although every >>> interpreter can access the resource pool, few interpreters expose API to >>> user and let user directly access the resource pool. >>> >>> SparkInterpreter, PysparkInterpreter, SparkRInterpreter are interpreters >>> that expose resource pool API to user. You can access resource pool via >>> z.get(), z.put() api. Check [1]. >>> >>> >>> Thanks, >>> moon >>> >>> [1] http://zeppelin.apache.org/docs/latest/interpreter/spark >>> .html#object-exchange >>> >>> On Sat, Sep 3, 2016 at 6:45 PM York Huang <yorkhuang.d...@gmail.com> >>> wrote: >>> >>>> Hi, >>>> >>>> I am new to Zeppelin and have a few questions. >>>> 1. Should I install Zeppelin on a Hadoop edge node and every users >>>> access from browser? Or should every users have to install their own >>>> Zeppelin ? >>>> >>>> 2. How do I run standard Python without using spark? >>>> >>>> 3. Can I install Zeppelin on Windows server? >>>> >>>> 4. Is it possible to share data between interpreters ? >>>> >>>> Thanks >>>> >>>> York >>>> >>>> Sent from my iPhone >>> >>> >> >
