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Posted to users@zeppelin.apache.org by "Piyush Mukati (Data Platform)" <pi...@flipkart.com> on 2015/09/01 05:47:55 UTC
Re: why zeppelin SparkInterpreter use FIFOScheduler
Hi,
we have passed the InterpreterContext to completion() , it is working good
on my local dev setup.
but after
mvn clean package -P build-distr -Pspark-1.4 -Dhadoop.version=2.6.0
-Phadoop-2.6 -Pyarn
I copied zeppelin-0.6.0-incubating-SNAPSHOT.tar.gz to some other machine,
while running from there it always shows disconnected and no notebook are
shown, even i am not able to create any notebook as well.
i am not seeing anything in logs. can anyone please suggest me how can i
further debug into it.
thanks.
On Wed, Aug 26, 2015 at 8:27 PM, moon soo Lee <mo...@apache.org> wrote:
> Hi Pranav,
>
> Thanks for sharing the plan.
> I think passing InterpreterContext to completion() make sense.
> Although it changes interpreter api, changing now looks better than later.
>
> Thanks.
> moon
>
> On Tue, Aug 25, 2015 at 11:22 PM Pranav Kumar Agarwal <pr...@gmail.com>
> wrote:
>
>> Hi Moon,
>>
>> > I think releasing SparkIMain and related objects
>> By packaging I meant to ask what is the process to "release SparkIMain
>> and related objects"? for Zeppelin's code uptake?
>>
>> I have one more question:
>> Most the changes to allow SparkInterpreter support ParallelScheduler are
>> implemented but I'm struggling with the completion feature. Since I have
>> SparkIMain interpreter for each notebook, completion functionality is
>> not working as expected cause the completion method doesn't have
>> InterpreterContext. I need to be able to pull notebook specific
>> SparkIMain interpreter to return correct completion results, and for
>> that I need to know the notbook-id at the time of completion call.
>>
>> I'm planning to change the Interpreter.java abstract method completion
>> to pass InterpreterContext along with buffer and cursor location. This
>> will require refactoring all the Interpreter's. It's a change in the
>> contract, so thought will run with you before embarking on it...
>>
>> Please let me know your thoughts.
>>
>> Regards,
>> -Pranav.
>>
>> On 18/08/15 8:04 am, moon soo Lee wrote:
>> > Could you explain little bit more about package changes you mean?
>> >
>> > Thanks,
>> > moon
>> >
>> > On Mon, Aug 17, 2015 at 10:27 AM Pranav Agarwal <praagarw@gmail.com
>> > <ma...@gmail.com>> wrote:
>> >
>> > Any thoughts on how to package changes related to Spark?
>> >
>> > On 17-Aug-2015 7:58 pm, "moon soo Lee" <moon@apache.org
>> > <ma...@apache.org>> wrote:
>> >
>> > I think releasing SparkIMain and related objects after
>> > configurable inactivity would be good for now.
>> >
>> > About scheduler, I can help implementing such scheduler.
>> >
>> > Thanks,
>> > moon
>> >
>> > On Sun, Aug 16, 2015 at 11:54 PM Pranav Kumar Agarwal
>> > <praagarw@gmail.com <ma...@gmail.com>> wrote:
>> >
>> > Hi Moon,
>> >
>> > Yes, the notebookid comes from InterpreterContext. At the
>> > moment destroying SparkIMain on deletion of notebook is
>> > not handled. I think SparkIMain is a lightweight object,
>> > do you see a concern having these objects in a map? One
>> > possible option could be to destroy notebook related
>> > objects when the inactivity on a notebook is greater than
>> > say 8 hours.
>> >
>> >
>> >> >> 4. Build a queue inside interpreter to allow only one
>> >> paragraph execution
>> >> >> at a time per notebook.
>> >>
>> >> One downside of this approach is, GUI will display
>> >> RUNNING instead of PENDING for jobs inside of queue in
>> >> interpreter.
>> > Yes that's an good point. Having a scheduler at Zeppelin
>> > server to build a scheduler that is parallel across
>> > notebook's and FIFO across paragraph's will be nice. Is
>> > there any plan for having such a scheduler?
>> >
>> > Regards,
>> > -Pranav.
>> >
>> >
>> > On 17/08/15 5:38 am, moon soo Lee wrote:
>> >> Pranav, proposal looks awesome!
>> >>
>> >> I have a question and feedback,
>> >>
>> >> You said you tested 1,2 and 3. To create SparkIMain per
>> >> notebook, you need information of notebook id. Did you
>> >> get it from InterpreterContext?
>> >> Then how did you handle destroying of SparkIMain (when
>> >> notebook is deleting)?
>> >> As far as i know, interpreter not able to get information
>> >> of notebook deletion.
>> >>
>> >> >> 4. Build a queue inside interpreter to allow only one
>> >> paragraph execution
>> >> >> at a time per notebook.
>> >>
>> >> One downside of this approach is, GUI will display
>> >> RUNNING instead of PENDING for jobs inside of queue in
>> >> interpreter.
>> >>
>> >> Best,
>> >> moon
>> >>
>> >> On Sun, Aug 16, 2015 at 12:55 AM IT CTO
>> >> <goi.cto@gmail.com <ma...@gmail.com>> wrote:
>> >>
>> >> +1 for "to re-factor the Zeppelin architecture so
>> >> that it can handle multi-tenancy easily"
>> >>
>> >> On Sun, Aug 16, 2015 at 9:47 AM DuyHai Doan
>> >> <doanduyhai@gmail.com <ma...@gmail.com>>
>> >> wrote:
>> >>
>> >> Agree with Joel, we may think to re-factor the
>> >> Zeppelin architecture so that it can handle
>> >> multi-tenancy easily. The technical solution
>> >> proposed by Pranav is great but it only applies
>> >> to Spark. Right now, each interpreter has to
>> >> manage multi-tenancy its own way. Ultimately
>> >> Zeppelin can propose a multi-tenancy
>> >> contract/info (like UserContext, similar to
>> >> InterpreterContext) so that each interpreter can
>> >> choose to use or not.
>> >>
>> >>
>> >> On Sun, Aug 16, 2015 at 3:09 AM, Joel Zambrano
>> >> <djoelz@gmail.com <ma...@gmail.com>>
>> wrote:
>> >>
>> >> I think while the idea of running multiple
>> >> notes simultaneously is great. It is really
>> >> dancing around the lack of true multi user
>> >> support in Zeppelin. While the proposed
>> >> solution would work if the applications
>> >> resources are those of the whole cluster, if
>> >> the app is limited (say they are 8 cores of
>> >> 16, with some distribution in memory) then
>> >> potentially your note can hog all the
>> >> resources and the scheduler will have to
>> >> throttle all other executions leaving you
>> >> exactly where you are now.
>> >> While I think the solution is a good one,
>> >> maybe this question makes us think in adding
>> >> true multiuser support.
>> >> Where we isolate resources (cluster and the
>> >> notebooks themselves), have separate
>> >> login/identity and (I don't know if it's
>> >> possible) share the same context.
>> >>
>> >> Thanks,
>> >> Joel
>> >>
>> >> > On Aug 15, 2015, at 1:58 PM, Rohit Agarwal
>> >> <mindprince@gmail.com
>> >> <ma...@gmail.com>> wrote:
>> >> >
>> >> > If the problem is that multiple users have
>> >> to wait for each other while
>> >> > using Zeppelin, the solution already
>> >> exists: they can create a new
>> >> > interpreter by going to the interpreter
>> >> page and attach it to their
>> >> > notebook - then they don't have to wait for
>> >> others to submit their job.
>> >> >
>> >> > But I agree, having paragraphs from one
>> >> note wait for paragraphs from other
>> >> > notes is a confusing default. We can get
>> >> around that in two ways:
>> >> >
>> >> > 1. Create a new interpreter for each note
>> >> and attach that interpreter to
>> >> > that note. This approach would require the
>> least amount
>> >> of code changes but
>> >> > is resource heavy and doesn't let you
>> >> share Spark Context between different
>> >> > notes.
>> >> > 2. If we want to share the Spark Context
>> >> between different notes, we can
>> >> > submit jobs from different notes into
>> >> different fairscheduler pools (
>> >> >
>> >>
>> https://spark.apache.org/docs/1.4.0/job-scheduling.html#scheduling-within-an-application
>> ).
>> >> > This can be done by submitting jobs from
>> >> different notes in different
>> >> > threads. This will make sure that jobs
>> >> from one note are run sequentially
>> >> > but jobs from different notes will be
>> >> able to run in parallel.
>> >> >
>> >> > Neither of these options require any change
>> >> in the Spark code.
>> >> >
>> >> > --
>> >> > Thanks & Regards
>> >> > Rohit Agarwal
>> >> > https://www.linkedin.com/in/rohitagarwal003
>> >> >
>> >> > On Sat, Aug 15, 2015 at 12:01 PM, Pranav
>> >> Kumar Agarwal <praagarw@gmail.com
>> >> <ma...@gmail.com>>
>>
>> >> > wrote:
>> >> >
>> >> >> If someone can share about the idea of
>> >> sharing single SparkContext through
>> >> >>> multiple SparkILoop safely, it'll be
>> >> really helpful.
>> >> >> Here is a proposal:
>> >> >> 1. In Spark code, change SparkIMain.scala
>> >> to allow setting the virtual
>> >> >> directory. While creating new instances of
>> >> SparkIMain per notebook from
>> >> >> zeppelin spark interpreter set all the
>> >> instances of SparkIMain to the same
>> >> >> virtual directory.
>> >> >> 2. Start HTTP server on that virtual
>> >> directory and set this HTTP server in
>> >> >> Spark Context using classserverUri method
>> >> >> 3. Scala generated code has a notion of
>> >> packages. The default package name
>> >> >> is "line$<linenumber>". Package name can
>> >> be controlled using System
>> >> >> Property scala.repl.name.line. Setting
>> >> this property to "notebook id"
>> >> >> ensures that code generated by individual
>> >> instances of SparkIMain is
>> >> >> isolated from other instances of SparkIMain
>> >> >> 4. Build a queue inside interpreter to
>> >> allow only one paragraph execution
>> >> >> at a time per notebook.
>> >> >>
>> >> >> I have tested 1, 2, and 3 and it seems to
>> >> provide isolation across
>> >> >> classnames. I'll work towards submitting a
>> >> formal patch soon - Is there any
>> >> >> Jira already for the same that I can
>> >> uptake? Also I need to understand:
>> >> >> 1. How does Zeppelin uptake Spark fixes?
>> >> OR do I need to first work
>> >> >> towards getting Spark changes merged in
>> >> Apache Spark github?
>> >> >>
>> >> >> Any suggestions on comments on the
>> >> proposal are highly welcome.
>> >> >>
>> >> >> Regards,
>> >> >> -Pranav.
>> >> >>
>> >> >>> On 10/08/15 11:36 pm, moon soo Lee wrote:
>> >> >>>
>> >> >>> Hi piyush,
>> >> >>>
>> >> >>> Separate instance of SparkILoop
>> >> SparkIMain for each notebook while
>> >> >>> sharing the SparkContext sounds great.
>> >> >>>
>> >> >>> Actually, i tried to do it, found problem
>> >> that multiple SparkILoop could
>> >> >>> generates the same class name, and spark
>> >> executor confuses classname since
>> >> >>> they're reading classes from single
>> >> SparkContext.
>> >> >>>
>> >> >>> If someone can share about the idea of
>> >> sharing single SparkContext
>> >> >>> through multiple SparkILoop safely, it'll
>> >> be really helpful.
>> >> >>>
>> >> >>> Thanks,
>> >> >>> moon
>> >> >>>
>> >> >>>
>> >> >>> On Mon, Aug 10, 2015 at 1:21 AM Piyush
>> >> Mukati (Data Platform) <
>> >> >>> piyush.mukati@flipkart.com
>> >> <ma...@flipkart.com>
>> >> <mailto:piyush.mukati@flipkart.com
>>
>> >> <ma...@flipkart.com>>> wrote:
>> >> >>>
>> >> >>> Hi Moon,
>> >> >>> Any suggestion on it, have to wait lot
>> >> when multiple people working
>> >> >>> with spark.
>> >> >>> Can we create separate instance of
>> >> SparkILoop SparkIMain and
>> >> >>> printstrems for each notebook while
>> >> sharing theSparkContext
>> >> >>> ZeppelinContext SQLContext and
>> >> DependencyResolver and then use parallel
>> >> >>> scheduler ?
>> >> >>> thanks
>> >> >>>
>> >> >>> -piyush
>> >> >>>
>> >> >>> Hi Moon,
>> >> >>>
>> >> >>> How about tracking dedicated
>> >> SparkContext for a notebook in Spark's
>> >> >>> remote interpreter - this will allow
>> >> multiple users to run their spark
>> >> >>> paragraphs in parallel. Also, within a
>> >> notebook only one paragraph is
>> >> >>> executed at a time.
>> >> >>>
>> >> >>> Regards,
>> >> >>> -Pranav.
>> >> >>>
>> >> >>>
>> >> >>>> On 15/07/15 7:15 pm, moon soo Lee wrote:
>> >> >>>> Hi,
>> >> >>>>
>> >> >>>> Thanks for asking question.
>> >> >>>>
>> >> >>>> The reason is simply because of it is
>> >> running code statements. The
>> >> >>>> statements can have order and
>> >> dependency. Imagine i have two
>> >> >>> paragraphs
>> >> >>>>
>> >> >>>> %spark
>> >> >>>> val a = 1
>> >> >>>>
>> >> >>>> %spark
>> >> >>>> print(a)
>> >> >>>>
>> >> >>>> If they're not running one by one, that
>> >> means they possibly runs in
>> >> >>>> random order and the output will be
>> >> always different. Either '1' or
>> >> >>>> 'val a can not found'.
>> >> >>>>
>> >> >>>> This is the reason why. But if there are
>> >> nice idea to handle this
>> >> >>>> problem i agree using parallel scheduler
>> >> would help a lot.
>> >> >>>>
>> >> >>>> Thanks,
>> >> >>>> moon
>> >> >>>> On 2015년 7월 14일 (화) at 오후 7:59
>> >> linxi zeng
>> >> >>>> <linxizeng0615@gmail.com
>> >> <ma...@gmail.com>
>> >> <mailto:linxizeng0615@gmail.com
>> >> <ma...@gmail.com>>
>> >> >>> <mailto:linxizeng0615@gmail.com
>> >> <ma...@gmail.com>
>> >> <mailto:linxizeng0615@gmail.com
>> >> <ma...@gmail.com>>>>
>> >> >>> wrote:
>> >> >>>>
>> >> >>>> any one who have the same question with
>> >> me? or this is not a
>> >> >>> question?
>> >> >>>>
>> >> >>>> 2015-07-14 11:47 GMT+08:00 linxi zeng
>> >> <linxizeng0615@gmail.com
>> >> <ma...@gmail.com>
>> >> >>> <mailto:linxizeng0615@gmail.com
>> >> <ma...@gmail.com>>
>> >> >>>> <mailto:linxizeng0615@gmail.com
>> >> <ma...@gmail.com> <mailto:
>> >> >>> linxizeng0615@gmail.com
>> >> <ma...@gmail.com>>>>:
>> >> >>>>
>> >> >>>> hi, Moon:
>> >> >>>> I notice that the getScheduler
>> >> function in the
>> >> >>>> SparkInterpreter.java return a
>> >> FIFOScheduler which makes the
>> >> >>>> spark interpreter run spark job one
>> >> by one. It's not a good
>> >> >>>> experience when couple of users do
>> >> some work on zeppelin at
>> >> >>>> the same time, because they have to
>> >> wait for each other.
>> >> >>>> And at the same time,
>> >> SparkSqlInterpreter can chose what
>> >> >>>> scheduler to use by
>> >> "zeppelin.spark.concurrentSQL".
>> >> >>>> My question is, what kind of
>> >> consideration do you based on
>> >> >>> to
>> >> >>>> make such a decision?
>> >> >>>
>> >> >>>
>> >> >>>
>> >> >>>
>> >> >>>
>> >>
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Re: why zeppelin SparkInterpreter use FIFOScheduler
Posted by Pranav Kumar Agarwal <pr...@gmail.com>.
It had nothing to do the changes related to completion code. The issue
was reproducible on master also.
Its due to the recent fix for ZEPPELIN-173
On one of our environment the hostname didn't returned the domain name
after the hostname, however since the query coming from the browser
included the hostname.domain.name. Basically the equality check in
NotebookServer.java at checkOrigin method for
currentHost.equals(sourceHost) was failing.
I think the code should fetch getCanonicalHostName also and try it as
one of the combination before returning false. Since this was not much
of a concern we just commented the newly added method checkOrigin in our
local copy.
Regards,
-Pranav.
On 02/09/15 11:59 am, moon soo Lee wrote:
> Hi,
>
> I'm not sure what could be wrong.
> can you see any existing notebook?
>
> Best,
> moon
>
> On Mon, Aug 31, 2015 at 8:48 PM Piyush Mukati (Data Platform)
> <piyush.mukati@flipkart.com <ma...@flipkart.com>> wrote:
>
> Hi,
> we have passed the InterpreterContext to completion() , it is
> working good on my local dev setup.
> but after
> mvn clean package -P build-distr -Pspark-1.4
> -Dhadoop.version=2.6.0 -Phadoop-2.6 -Pyarn
> I copied zeppelin-0.6.0-incubating-SNAPSHOT.tar.gz to some other
> machine,
> while running from there it always shows disconnected and no
> notebook are shown, even i am not able to create any notebook as
> well.
>
> Screenshot 2015-09-01 09.14.54.png
> i am not seeing anything in logs. can anyone please suggest me how
> can i further debug into it.
> thanks.
>
> On Wed, Aug 26, 2015 at 8:27 PM, moon soo Lee <moon@apache.org
> <ma...@apache.org>> wrote:
>
> Hi Pranav,
>
> Thanks for sharing the plan.
> I think passing InterpreterContext to completion() make sense.
> Although it changes interpreter api, changing now looks better
> than later.
>
> Thanks.
> moon
>
> On Tue, Aug 25, 2015 at 11:22 PM Pranav Kumar Agarwal
> <praagarw@gmail.com <ma...@gmail.com>> wrote:
>
> Hi Moon,
>
> > I think releasing SparkIMain and related objects
> By packaging I meant to ask what is the process to
> "release SparkIMain
> and related objects"? for Zeppelin's code uptake?
>
> I have one more question:
> Most the changes to allow SparkInterpreter support
> ParallelScheduler are
> implemented but I'm struggling with the completion
> feature. Since I have
> SparkIMain interpreter for each notebook, completion
> functionality is
> not working as expected cause the completion method
> doesn't have
> InterpreterContext. I need to be able to pull notebook
> specific
> SparkIMain interpreter to return correct completion
> results, and for
> that I need to know the notbook-id at the time of
> completion call.
>
> I'm planning to change the Interpreter.java abstract
> method completion
> to pass InterpreterContext along with buffer and cursor
> location. This
> will require refactoring all the Interpreter's. It's a
> change in the
> contract, so thought will run with you before embarking on
> it...
>
> Please let me know your thoughts.
>
> Regards,
> -Pranav.
>
> On 18/08/15 8:04 am, moon soo Lee wrote:
> > Could you explain little bit more about package changes
> you mean?
> >
> > Thanks,
> > moon
> >
> > On Mon, Aug 17, 2015 at 10:27 AM Pranav Agarwal
> <praagarw@gmail.com <ma...@gmail.com>
> > <mailto:praagarw@gmail.com <ma...@gmail.com>>>
> wrote:
> >
> > Any thoughts on how to package changes related to Spark?
> >
> > On 17-Aug-2015 7:58 pm, "moon soo Lee"
> <moon@apache.org <ma...@apache.org>
> > <mailto:moon@apache.org <ma...@apache.org>>>
> wrote:
> >
> > I think releasing SparkIMain and related objects
> after
> > configurable inactivity would be good for now.
> >
> > About scheduler, I can help implementing such
> scheduler.
> >
> > Thanks,
> > moon
> >
> > On Sun, Aug 16, 2015 at 11:54 PM Pranav Kumar
> Agarwal
> > <praagarw@gmail.com <ma...@gmail.com>
> <mailto:praagarw@gmail.com <ma...@gmail.com>>>
> wrote:
> >
> > Hi Moon,
> >
> > Yes, the notebookid comes from
> InterpreterContext. At the
> > moment destroying SparkIMain on deletion of
> notebook is
> > not handled. I think SparkIMain is a
> lightweight object,
> > do you see a concern having these objects in
> a map? One
> > possible option could be to destroy notebook
> related
> > objects when the inactivity on a notebook is
> greater than
> > say 8 hours.
> >
> >
> >> >> 4. Build a queue inside interpreter to
> allow only one
> >> paragraph execution
> >> >> at a time per notebook.
> >>
> >> One downside of this approach is, GUI will
> display
> >> RUNNING instead of PENDING for jobs inside
> of queue in
> >> interpreter.
> > Yes that's an good point. Having a scheduler
> at Zeppelin
> > server to build a scheduler that is parallel
> across
> > notebook's and FIFO across paragraph's will
> be nice. Is
> > there any plan for having such a scheduler?
> >
> > Regards,
> > -Pranav.
> >
> >
> > On 17/08/15 5:38 am, moon soo Lee wrote:
> >> Pranav, proposal looks awesome!
> >>
> >> I have a question and feedback,
> >>
> >> You said you tested 1,2 and 3. To create
> SparkIMain per
> >> notebook, you need information of notebook
> id. Did you
> >> get it from InterpreterContext?
> >> Then how did you handle destroying of
> SparkIMain (when
> >> notebook is deleting)?
> >> As far as i know, interpreter not able to
> get information
> >> of notebook deletion.
> >>
> >> >> 4. Build a queue inside interpreter to
> allow only one
> >> paragraph execution
> >> >> at a time per notebook.
> >>
> >> One downside of this approach is, GUI will
> display
> >> RUNNING instead of PENDING for jobs inside
> of queue in
> >> interpreter.
> >>
> >> Best,
> >> moon
> >>
> >> On Sun, Aug 16, 2015 at 12:55 AM IT CTO
> >> <goi.cto@gmail.com
> <ma...@gmail.com> <mailto:goi.cto@gmail.com
> <ma...@gmail.com>>> wrote:
> >>
> >> +1 for "to re-factor the Zeppelin
> architecture so
> >> that it can handle multi-tenancy easily"
> >>
> >> On Sun, Aug 16, 2015 at 9:47 AM DuyHai Doan
> >> <doanduyhai@gmail.com
> <ma...@gmail.com> <mailto:doanduyhai@gmail.com
> <ma...@gmail.com>>>
> >> wrote:
> >>
> >> Agree with Joel, we may think to
> re-factor the
> >> Zeppelin architecture so that it
> can handle
> >> multi-tenancy easily. The technical
> solution
> >> proposed by Pranav is great but it
> only applies
> >> to Spark. Right now, each
> interpreter has to
> >> manage multi-tenancy its own way.
> Ultimately
> >> Zeppelin can propose a multi-tenancy
> >> contract/info (like UserContext,
> similar to
> >> InterpreterContext) so that each interpreter can
> >> choose to use or not.
> >>
> >>
> >> On Sun, Aug 16, 2015 at 3:09 AM,
> Joel Zambrano
> >> <djoelz@gmail.com
> <ma...@gmail.com> <mailto:djoelz@gmail.com
> <ma...@gmail.com>>> wrote:
> >>
> >> I think while the idea of
> running multiple
> >> notes simultaneously is great.
> It is really
> >> dancing around the lack of true
> multi user
> >> support in Zeppelin. While the
> proposed
> >> solution would work if the
> applications
> >> resources are those of the
> whole cluster, if
> >> the app is limited (say they
> are 8 cores of
> >> 16, with some distribution in
> memory) then
> >> potentially your note can hog all the
> >> resources and the scheduler
> will have to
> >> throttle all other executions
> leaving you
> >> exactly where you are now.
> >> While I think the solution is a
> good one,
> >> maybe this question makes us
> think in adding
> >> true multiuser support.
> >> Where we isolate resources
> (cluster and the
> >> notebooks themselves), have
> separate
> >> login/identity and (I don't know if it's
> >> possible) share the same context.
> >>
> >> Thanks,
> >> Joel
> >>
> >> > On Aug 15, 2015, at 1:58 PM,
> Rohit Agarwal
> >> <mindprince@gmail.com
> <ma...@gmail.com>
> >> <mailto:mindprince@gmail.com
> <ma...@gmail.com>>> wrote:
> >> >
> >> > If the problem is that
> multiple users have
> >> to wait for each other while
> >> > using Zeppelin, the solution
> already
> >> exists: they can create a new
> >> > interpreter by going to the
> interpreter
> >> page and attach it to their
> >> > notebook - then they don't
> have to wait for
> >> others to submit their job.
> >> >
> >> > But I agree, having
> paragraphs from one
> >> note wait for paragraphs from other
> >> > notes is a confusing default.
> We can get
> >> around that in two ways:
> >> >
> >> > 1. Create a new interpreter
> for each note
> >> and attach that interpreter to
> >> > that note. This approach
> would require the least amount
> >> of code changes but
> >> > is resource heavy and
> doesn't let you
> >> share Spark Context between
> different
> >> > notes.
> >> > 2. If we want to share the
> Spark Context
> >> between different notes, we can
> >> > submit jobs from different
> notes into
> >> different fairscheduler pools (
> >> >
> >>
> https://spark.apache.org/docs/1.4.0/job-scheduling.html#scheduling-within-an-application).
> >> > This can be done by
> submitting jobs from
> >> different notes in different
> >> > threads. This will make sure
> that jobs
> >> from one note are run sequentially
> >> > but jobs from different
> notes will be
> >> able to run in parallel.
> >> >
> >> > Neither of these options
> require any change
> >> in the Spark code.
> >> >
> >> > --
> >> > Thanks & Regards
> >> > Rohit Agarwal
> >> >
> https://www.linkedin.com/in/rohitagarwal003
> >> >
> >> > On Sat, Aug 15, 2015 at 12:01
> PM, Pranav
> >> Kumar Agarwal
> <praagarw@gmail.com <ma...@gmail.com>
> >> <mailto:praagarw@gmail.com
> <ma...@gmail.com>>>
>
> >> > wrote:
> >> >
> >> >> If someone can share about the idea of
> >> sharing single SparkContext through
> >> >>> multiple SparkILoop safely, it'll be
> >> really helpful.
> >> >> Here is a proposal:
> >> >> 1. In Spark code, change SparkIMain.scala
> >> to allow setting the virtual
> >> >> directory. While creating new instances of
> >> SparkIMain per notebook from
> >> >> zeppelin spark interpreter set all the
> >> instances of SparkIMain to the same
> >> >> virtual directory.
> >> >> 2. Start HTTP server on that virtual
> >> directory and set this HTTP server in
> >> >> Spark Context using classserverUri method
> >> >> 3. Scala generated code has a notion of
> >> packages. The default package name
> >> >> is "line$<linenumber>". Package name can
> >> be controlled using System
> >> >> Property scala.repl.name.line. Setting
> >> this property to "notebook id"
> >> >> ensures that code generated by individual
> >> instances of SparkIMain is
> >> >> isolated from other instances of SparkIMain
> >> >> 4. Build a queue inside interpreter to
> >> allow only one paragraph execution
> >> >> at a time per notebook.
> >> >>
> >> >> I have tested 1, 2, and 3 and it seems to
> >> provide isolation across
> >> >> classnames. I'll work towards submitting a
> >> formal patch soon - Is there any
> >> >> Jira already for the same that I can
> >> uptake? Also I need to understand:
> >> >> 1. How does Zeppelin uptake Spark fixes?
> >> OR do I need to first work
> >> >> towards getting Spark changes merged in
> >> Apache Spark github?
> >> >>
> >> >> Any suggestions on comments on the
> >> proposal are highly welcome.
> >> >>
> >> >> Regards,
> >> >> -Pranav.
> >> >>
> >> >>> On 10/08/15 11:36 pm, moon soo Lee wrote:
> >> >>>
> >> >>> Hi piyush,
> >> >>>
> >> >>> Separate instance of SparkILoop
> >> SparkIMain for each notebook while
> >> >>> sharing the SparkContext sounds great.
> >> >>>
> >> >>> Actually, i tried to do it, found problem
> >> that multiple SparkILoop could
> >> >>> generates the same class name, and spark
> >> executor confuses classname since
> >> >>> they're reading classes from single
> >> SparkContext.
> >> >>>
> >> >>> If someone can share about the idea of
> >> sharing single SparkContext
> >> >>> through multiple SparkILoop safely, it'll
> >> be really helpful.
> >> >>>
> >> >>> Thanks,
> >> >>> moon
> >> >>>
> >> >>>
> >> >>> On Mon, Aug 10, 2015 at 1:21 AM Piyush
> >> Mukati (Data Platform) <
> >> >>> piyush.mukati@flipkart.com
> <ma...@flipkart.com>
> >> <mailto:piyush.mukati@flipkart.com
> <ma...@flipkart.com>>
> >>
> <mailto:piyush.mukati@flipkart.com
> <ma...@flipkart.com>
>
> >> <mailto:piyush.mukati@flipkart.com
> <ma...@flipkart.com>>>> wrote:
> >> >>>
> >> >>> Hi Moon,
> >> >>> Any suggestion on it, have to wait lot
> >> when multiple people working
> >> >>> with spark.
> >> >>> Can we create separate instance of
> >> SparkILoop SparkIMain and
> >> >>> printstrems for each notebook while
> >> sharing theSparkContext
> >> >>> ZeppelinContext SQLContext and
> >> DependencyResolver and then use parallel
> >> >>> scheduler ?
> >> >>> thanks
> >> >>>
> >> >>> -piyush
> >> >>>
> >> >>> Hi Moon,
> >> >>>
> >> >>> How about tracking dedicated
> >> SparkContext for a notebook in Spark's
> >> >>> remote interpreter - this will allow
> >> multiple users to run their spark
> >> >>> paragraphs in parallel. Also, within a
> >> notebook only one paragraph is
> >> >>> executed at a time.
> >> >>>
> >> >>> Regards,
> >> >>> -Pranav.
> >> >>>
> >> >>>
> >> >>>> On 15/07/15 7:15 pm, moon soo Lee wrote:
> >> >>>> Hi,
> >> >>>>
> >> >>>> Thanks for asking question.
> >> >>>>
> >> >>>> The reason is simply because of it is
> >> running code statements. The
> >> >>>> statements can have order and
> >> dependency. Imagine i have two
> >> >>> paragraphs
> >> >>>>
> >> >>>> %spark
> >> >>>> val a = 1
> >> >>>>
> >> >>>> %spark
> >> >>>> print(a)
> >> >>>>
> >> >>>> If they're not running one by one, that
> >> means they possibly runs in
> >> >>>> random order and the output will be
> >> always different. Either '1' or
> >> >>>> 'val a can not found'.
> >> >>>>
> >> >>>> This is the reason why. But if there are
> >> nice idea to handle this
> >> >>>> problem i agree using parallel scheduler
> >> would help a lot.
> >> >>>>
> >> >>>> Thanks,
> >> >>>> moon
> >> >>>> On 2015년 7월 14일 (화) at 오후 7:59
> >> linxi zeng
> >> >>>> <linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>
> >> >>> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>>>
> >> >>> wrote:
> >> >>>>
> >> >>>> any one who have the same question with
> >> me? or this is not a
> >> >>> question?
> >> >>>>
> >> >>>> 2015-07-14 11:47 GMT+08:00 linxi zeng
> >> <linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>
> >> >>> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>
> >> >>>> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>> <mailto:
> >> >>> linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>>>:
> >> >>>>
> >> >>>> hi, Moon:
> >> >>>> I notice that the getScheduler
> >> function in the
> >> >>>> SparkInterpreter.java return a
> >> FIFOScheduler which makes the
> >> >>>> spark interpreter run spark job one
> >> by one. It's not a good
> >> >>>> experience when couple of users do
> >> some work on zeppelin at
> >> >>>> the same time, because they have to
> >> wait for each other.
> >> >>>> And at the same time,
> >> SparkSqlInterpreter can chose what
> >> >>>> scheduler to use by
> >> "zeppelin.spark.concurrentSQL".
> >> >>>> My question is, what kind of
> >> consideration do you based on
> >> >>> to
> >> >>>> make such a decision?
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >>
> ------------------------------------------------------------------------------------------------------------------------------------------
> >> >>>
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> >> >>> please notify the system manager. This
> >> message contains
> >> >>> confidential information and is intended
> >> only for the individual
> >> >>> named. If you are not the named addressee
> >> you should not
> >> >>> disseminate, distribute or copy this
> >> e-mail. Please notify the
> >> >>> sender immediately by e-mail if you have
> >> received this e-mail by
> >> >>> mistake and delete this e-mail from your
> >> system. If you are not
> >> >>> the intended recipient you are
> >> notified that disclosing, copying,
> >> >>> distributing or taking any action in
> >> reliance on the contents of
> >> >>> this information is strictly
> >> prohibited. Although Flipkart has
> >> >>> taken reasonable precautions to ensure no
> >> viruses are present in
> >> >>> this email, the company cannot accept
> >> responsibility for any loss
> >> >>> or damage arising from the use of this
> >> email or attachments
> >> >>
> >>
> >>
> >
>
>
>
> ------------------------------------------------------------------------------------------------------------------------------------------
>
> This email and any files transmitted with it are confidential and
> intended solely for the use of the individual or entity to whom
> they are addressed. If you have received this email in error
> please notify the system manager. This message contains
> confidential information and is intended only for the individual
> named. If you are not the named addressee you should not
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>
Re: why zeppelin SparkInterpreter use FIFOScheduler
Posted by Pranav Kumar Agarwal <pr...@gmail.com>.
It had nothing to do the changes related to completion code. The issue
was reproducible on master also.
Its due to the recent fix for ZEPPELIN-173
On one of our environment the hostname didn't returned the domain name
after the hostname, however since the query coming from the browser
included the hostname.domain.name. Basically the equality check in
NotebookServer.java at checkOrigin method for
currentHost.equals(sourceHost) was failing.
I think the code should fetch getCanonicalHostName also and try it as
one of the combination before returning false. Since this was not much
of a concern we just commented the newly added method checkOrigin in our
local copy.
Regards,
-Pranav.
On 02/09/15 11:59 am, moon soo Lee wrote:
> Hi,
>
> I'm not sure what could be wrong.
> can you see any existing notebook?
>
> Best,
> moon
>
> On Mon, Aug 31, 2015 at 8:48 PM Piyush Mukati (Data Platform)
> <piyush.mukati@flipkart.com <ma...@flipkart.com>> wrote:
>
> Hi,
> we have passed the InterpreterContext to completion() , it is
> working good on my local dev setup.
> but after
> mvn clean package -P build-distr -Pspark-1.4
> -Dhadoop.version=2.6.0 -Phadoop-2.6 -Pyarn
> I copied zeppelin-0.6.0-incubating-SNAPSHOT.tar.gz to some other
> machine,
> while running from there it always shows disconnected and no
> notebook are shown, even i am not able to create any notebook as
> well.
>
> Screenshot 2015-09-01 09.14.54.png
> i am not seeing anything in logs. can anyone please suggest me how
> can i further debug into it.
> thanks.
>
> On Wed, Aug 26, 2015 at 8:27 PM, moon soo Lee <moon@apache.org
> <ma...@apache.org>> wrote:
>
> Hi Pranav,
>
> Thanks for sharing the plan.
> I think passing InterpreterContext to completion() make sense.
> Although it changes interpreter api, changing now looks better
> than later.
>
> Thanks.
> moon
>
> On Tue, Aug 25, 2015 at 11:22 PM Pranav Kumar Agarwal
> <praagarw@gmail.com <ma...@gmail.com>> wrote:
>
> Hi Moon,
>
> > I think releasing SparkIMain and related objects
> By packaging I meant to ask what is the process to
> "release SparkIMain
> and related objects"? for Zeppelin's code uptake?
>
> I have one more question:
> Most the changes to allow SparkInterpreter support
> ParallelScheduler are
> implemented but I'm struggling with the completion
> feature. Since I have
> SparkIMain interpreter for each notebook, completion
> functionality is
> not working as expected cause the completion method
> doesn't have
> InterpreterContext. I need to be able to pull notebook
> specific
> SparkIMain interpreter to return correct completion
> results, and for
> that I need to know the notbook-id at the time of
> completion call.
>
> I'm planning to change the Interpreter.java abstract
> method completion
> to pass InterpreterContext along with buffer and cursor
> location. This
> will require refactoring all the Interpreter's. It's a
> change in the
> contract, so thought will run with you before embarking on
> it...
>
> Please let me know your thoughts.
>
> Regards,
> -Pranav.
>
> On 18/08/15 8:04 am, moon soo Lee wrote:
> > Could you explain little bit more about package changes
> you mean?
> >
> > Thanks,
> > moon
> >
> > On Mon, Aug 17, 2015 at 10:27 AM Pranav Agarwal
> <praagarw@gmail.com <ma...@gmail.com>
> > <mailto:praagarw@gmail.com <ma...@gmail.com>>>
> wrote:
> >
> > Any thoughts on how to package changes related to Spark?
> >
> > On 17-Aug-2015 7:58 pm, "moon soo Lee"
> <moon@apache.org <ma...@apache.org>
> > <mailto:moon@apache.org <ma...@apache.org>>>
> wrote:
> >
> > I think releasing SparkIMain and related objects
> after
> > configurable inactivity would be good for now.
> >
> > About scheduler, I can help implementing such
> scheduler.
> >
> > Thanks,
> > moon
> >
> > On Sun, Aug 16, 2015 at 11:54 PM Pranav Kumar
> Agarwal
> > <praagarw@gmail.com <ma...@gmail.com>
> <mailto:praagarw@gmail.com <ma...@gmail.com>>>
> wrote:
> >
> > Hi Moon,
> >
> > Yes, the notebookid comes from
> InterpreterContext. At the
> > moment destroying SparkIMain on deletion of
> notebook is
> > not handled. I think SparkIMain is a
> lightweight object,
> > do you see a concern having these objects in
> a map? One
> > possible option could be to destroy notebook
> related
> > objects when the inactivity on a notebook is
> greater than
> > say 8 hours.
> >
> >
> >> >> 4. Build a queue inside interpreter to
> allow only one
> >> paragraph execution
> >> >> at a time per notebook.
> >>
> >> One downside of this approach is, GUI will
> display
> >> RUNNING instead of PENDING for jobs inside
> of queue in
> >> interpreter.
> > Yes that's an good point. Having a scheduler
> at Zeppelin
> > server to build a scheduler that is parallel
> across
> > notebook's and FIFO across paragraph's will
> be nice. Is
> > there any plan for having such a scheduler?
> >
> > Regards,
> > -Pranav.
> >
> >
> > On 17/08/15 5:38 am, moon soo Lee wrote:
> >> Pranav, proposal looks awesome!
> >>
> >> I have a question and feedback,
> >>
> >> You said you tested 1,2 and 3. To create
> SparkIMain per
> >> notebook, you need information of notebook
> id. Did you
> >> get it from InterpreterContext?
> >> Then how did you handle destroying of
> SparkIMain (when
> >> notebook is deleting)?
> >> As far as i know, interpreter not able to
> get information
> >> of notebook deletion.
> >>
> >> >> 4. Build a queue inside interpreter to
> allow only one
> >> paragraph execution
> >> >> at a time per notebook.
> >>
> >> One downside of this approach is, GUI will
> display
> >> RUNNING instead of PENDING for jobs inside
> of queue in
> >> interpreter.
> >>
> >> Best,
> >> moon
> >>
> >> On Sun, Aug 16, 2015 at 12:55 AM IT CTO
> >> <goi.cto@gmail.com
> <ma...@gmail.com> <mailto:goi.cto@gmail.com
> <ma...@gmail.com>>> wrote:
> >>
> >> +1 for "to re-factor the Zeppelin
> architecture so
> >> that it can handle multi-tenancy easily"
> >>
> >> On Sun, Aug 16, 2015 at 9:47 AM DuyHai Doan
> >> <doanduyhai@gmail.com
> <ma...@gmail.com> <mailto:doanduyhai@gmail.com
> <ma...@gmail.com>>>
> >> wrote:
> >>
> >> Agree with Joel, we may think to
> re-factor the
> >> Zeppelin architecture so that it
> can handle
> >> multi-tenancy easily. The technical
> solution
> >> proposed by Pranav is great but it
> only applies
> >> to Spark. Right now, each
> interpreter has to
> >> manage multi-tenancy its own way.
> Ultimately
> >> Zeppelin can propose a multi-tenancy
> >> contract/info (like UserContext,
> similar to
> >> InterpreterContext) so that each interpreter can
> >> choose to use or not.
> >>
> >>
> >> On Sun, Aug 16, 2015 at 3:09 AM,
> Joel Zambrano
> >> <djoelz@gmail.com
> <ma...@gmail.com> <mailto:djoelz@gmail.com
> <ma...@gmail.com>>> wrote:
> >>
> >> I think while the idea of
> running multiple
> >> notes simultaneously is great.
> It is really
> >> dancing around the lack of true
> multi user
> >> support in Zeppelin. While the
> proposed
> >> solution would work if the
> applications
> >> resources are those of the
> whole cluster, if
> >> the app is limited (say they
> are 8 cores of
> >> 16, with some distribution in
> memory) then
> >> potentially your note can hog all the
> >> resources and the scheduler
> will have to
> >> throttle all other executions
> leaving you
> >> exactly where you are now.
> >> While I think the solution is a
> good one,
> >> maybe this question makes us
> think in adding
> >> true multiuser support.
> >> Where we isolate resources
> (cluster and the
> >> notebooks themselves), have
> separate
> >> login/identity and (I don't know if it's
> >> possible) share the same context.
> >>
> >> Thanks,
> >> Joel
> >>
> >> > On Aug 15, 2015, at 1:58 PM,
> Rohit Agarwal
> >> <mindprince@gmail.com
> <ma...@gmail.com>
> >> <mailto:mindprince@gmail.com
> <ma...@gmail.com>>> wrote:
> >> >
> >> > If the problem is that
> multiple users have
> >> to wait for each other while
> >> > using Zeppelin, the solution
> already
> >> exists: they can create a new
> >> > interpreter by going to the
> interpreter
> >> page and attach it to their
> >> > notebook - then they don't
> have to wait for
> >> others to submit their job.
> >> >
> >> > But I agree, having
> paragraphs from one
> >> note wait for paragraphs from other
> >> > notes is a confusing default.
> We can get
> >> around that in two ways:
> >> >
> >> > 1. Create a new interpreter
> for each note
> >> and attach that interpreter to
> >> > that note. This approach
> would require the least amount
> >> of code changes but
> >> > is resource heavy and
> doesn't let you
> >> share Spark Context between
> different
> >> > notes.
> >> > 2. If we want to share the
> Spark Context
> >> between different notes, we can
> >> > submit jobs from different
> notes into
> >> different fairscheduler pools (
> >> >
> >>
> https://spark.apache.org/docs/1.4.0/job-scheduling.html#scheduling-within-an-application).
> >> > This can be done by
> submitting jobs from
> >> different notes in different
> >> > threads. This will make sure
> that jobs
> >> from one note are run sequentially
> >> > but jobs from different
> notes will be
> >> able to run in parallel.
> >> >
> >> > Neither of these options
> require any change
> >> in the Spark code.
> >> >
> >> > --
> >> > Thanks & Regards
> >> > Rohit Agarwal
> >> >
> https://www.linkedin.com/in/rohitagarwal003
> >> >
> >> > On Sat, Aug 15, 2015 at 12:01
> PM, Pranav
> >> Kumar Agarwal
> <praagarw@gmail.com <ma...@gmail.com>
> >> <mailto:praagarw@gmail.com
> <ma...@gmail.com>>>
>
> >> > wrote:
> >> >
> >> >> If someone can share about the idea of
> >> sharing single SparkContext through
> >> >>> multiple SparkILoop safely, it'll be
> >> really helpful.
> >> >> Here is a proposal:
> >> >> 1. In Spark code, change SparkIMain.scala
> >> to allow setting the virtual
> >> >> directory. While creating new instances of
> >> SparkIMain per notebook from
> >> >> zeppelin spark interpreter set all the
> >> instances of SparkIMain to the same
> >> >> virtual directory.
> >> >> 2. Start HTTP server on that virtual
> >> directory and set this HTTP server in
> >> >> Spark Context using classserverUri method
> >> >> 3. Scala generated code has a notion of
> >> packages. The default package name
> >> >> is "line$<linenumber>". Package name can
> >> be controlled using System
> >> >> Property scala.repl.name.line. Setting
> >> this property to "notebook id"
> >> >> ensures that code generated by individual
> >> instances of SparkIMain is
> >> >> isolated from other instances of SparkIMain
> >> >> 4. Build a queue inside interpreter to
> >> allow only one paragraph execution
> >> >> at a time per notebook.
> >> >>
> >> >> I have tested 1, 2, and 3 and it seems to
> >> provide isolation across
> >> >> classnames. I'll work towards submitting a
> >> formal patch soon - Is there any
> >> >> Jira already for the same that I can
> >> uptake? Also I need to understand:
> >> >> 1. How does Zeppelin uptake Spark fixes?
> >> OR do I need to first work
> >> >> towards getting Spark changes merged in
> >> Apache Spark github?
> >> >>
> >> >> Any suggestions on comments on the
> >> proposal are highly welcome.
> >> >>
> >> >> Regards,
> >> >> -Pranav.
> >> >>
> >> >>> On 10/08/15 11:36 pm, moon soo Lee wrote:
> >> >>>
> >> >>> Hi piyush,
> >> >>>
> >> >>> Separate instance of SparkILoop
> >> SparkIMain for each notebook while
> >> >>> sharing the SparkContext sounds great.
> >> >>>
> >> >>> Actually, i tried to do it, found problem
> >> that multiple SparkILoop could
> >> >>> generates the same class name, and spark
> >> executor confuses classname since
> >> >>> they're reading classes from single
> >> SparkContext.
> >> >>>
> >> >>> If someone can share about the idea of
> >> sharing single SparkContext
> >> >>> through multiple SparkILoop safely, it'll
> >> be really helpful.
> >> >>>
> >> >>> Thanks,
> >> >>> moon
> >> >>>
> >> >>>
> >> >>> On Mon, Aug 10, 2015 at 1:21 AM Piyush
> >> Mukati (Data Platform) <
> >> >>> piyush.mukati@flipkart.com
> <ma...@flipkart.com>
> >> <mailto:piyush.mukati@flipkart.com
> <ma...@flipkart.com>>
> >>
> <mailto:piyush.mukati@flipkart.com
> <ma...@flipkart.com>
>
> >> <mailto:piyush.mukati@flipkart.com
> <ma...@flipkart.com>>>> wrote:
> >> >>>
> >> >>> Hi Moon,
> >> >>> Any suggestion on it, have to wait lot
> >> when multiple people working
> >> >>> with spark.
> >> >>> Can we create separate instance of
> >> SparkILoop SparkIMain and
> >> >>> printstrems for each notebook while
> >> sharing theSparkContext
> >> >>> ZeppelinContext SQLContext and
> >> DependencyResolver and then use parallel
> >> >>> scheduler ?
> >> >>> thanks
> >> >>>
> >> >>> -piyush
> >> >>>
> >> >>> Hi Moon,
> >> >>>
> >> >>> How about tracking dedicated
> >> SparkContext for a notebook in Spark's
> >> >>> remote interpreter - this will allow
> >> multiple users to run their spark
> >> >>> paragraphs in parallel. Also, within a
> >> notebook only one paragraph is
> >> >>> executed at a time.
> >> >>>
> >> >>> Regards,
> >> >>> -Pranav.
> >> >>>
> >> >>>
> >> >>>> On 15/07/15 7:15 pm, moon soo Lee wrote:
> >> >>>> Hi,
> >> >>>>
> >> >>>> Thanks for asking question.
> >> >>>>
> >> >>>> The reason is simply because of it is
> >> running code statements. The
> >> >>>> statements can have order and
> >> dependency. Imagine i have two
> >> >>> paragraphs
> >> >>>>
> >> >>>> %spark
> >> >>>> val a = 1
> >> >>>>
> >> >>>> %spark
> >> >>>> print(a)
> >> >>>>
> >> >>>> If they're not running one by one, that
> >> means they possibly runs in
> >> >>>> random order and the output will be
> >> always different. Either '1' or
> >> >>>> 'val a can not found'.
> >> >>>>
> >> >>>> This is the reason why. But if there are
> >> nice idea to handle this
> >> >>>> problem i agree using parallel scheduler
> >> would help a lot.
> >> >>>>
> >> >>>> Thanks,
> >> >>>> moon
> >> >>>> On 2015년 7월 14일 (화) at 오후 7:59
> >> linxi zeng
> >> >>>> <linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>
> >> >>> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>>>
> >> >>> wrote:
> >> >>>>
> >> >>>> any one who have the same question with
> >> me? or this is not a
> >> >>> question?
> >> >>>>
> >> >>>> 2015-07-14 11:47 GMT+08:00 linxi zeng
> >> <linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>
> >> >>> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>
> >> >>>> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>> <mailto:
> >> >>> linxizeng0615@gmail.com
> <ma...@gmail.com>
> >> <mailto:linxizeng0615@gmail.com
> <ma...@gmail.com>>>>>:
> >> >>>>
> >> >>>> hi, Moon:
> >> >>>> I notice that the getScheduler
> >> function in the
> >> >>>> SparkInterpreter.java return a
> >> FIFOScheduler which makes the
> >> >>>> spark interpreter run spark job one
> >> by one. It's not a good
> >> >>>> experience when couple of users do
> >> some work on zeppelin at
> >> >>>> the same time, because they have to
> >> wait for each other.
> >> >>>> And at the same time,
> >> SparkSqlInterpreter can chose what
> >> >>>> scheduler to use by
> >> "zeppelin.spark.concurrentSQL".
> >> >>>> My question is, what kind of
> >> consideration do you based on
> >> >>> to
> >> >>>> make such a decision?
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >>
> ------------------------------------------------------------------------------------------------------------------------------------------
> >> >>>
> >> >>> This email and any files transmitted
> >> with it are confidential and
> >> >>> intended solely for the use of the
> >> individual or entity to whom
> >> >>> they are addressed. If you have
> >> received this email in error
> >> >>> please notify the system manager. This
> >> message contains
> >> >>> confidential information and is intended
> >> only for the individual
> >> >>> named. If you are not the named addressee
> >> you should not
> >> >>> disseminate, distribute or copy this
> >> e-mail. Please notify the
> >> >>> sender immediately by e-mail if you have
> >> received this e-mail by
> >> >>> mistake and delete this e-mail from your
> >> system. If you are not
> >> >>> the intended recipient you are
> >> notified that disclosing, copying,
> >> >>> distributing or taking any action in
> >> reliance on the contents of
> >> >>> this information is strictly
> >> prohibited. Although Flipkart has
> >> >>> taken reasonable precautions to ensure no
> >> viruses are present in
> >> >>> this email, the company cannot accept
> >> responsibility for any loss
> >> >>> or damage arising from the use of this
> >> email or attachments
> >> >>
> >>
> >>
> >
>
>
>
> ------------------------------------------------------------------------------------------------------------------------------------------
>
> This email and any files transmitted with it are confidential and
> intended solely for the use of the individual or entity to whom
> they are addressed. If you have received this email in error
> please notify the system manager. This message contains
> confidential information and is intended only for the individual
> named. If you are not the named addressee you should not
> disseminate, distribute or copy this e-mail. Please notify the
> sender immediately by e-mail if you have received this e-mail by
> mistake and delete this e-mail from your system. If you are not
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Re: why zeppelin SparkInterpreter use FIFOScheduler
Posted by moon soo Lee <mo...@apache.org>.
Hi,
I'm not sure what could be wrong.
can you see any existing notebook?
Best,
moon
On Mon, Aug 31, 2015 at 8:48 PM Piyush Mukati (Data Platform) <
piyush.mukati@flipkart.com> wrote:
> Hi,
> we have passed the InterpreterContext to completion() , it is working
> good on my local dev setup.
> but after
> mvn clean package -P build-distr -Pspark-1.4 -Dhadoop.version=2.6.0
> -Phadoop-2.6 -Pyarn
> I copied zeppelin-0.6.0-incubating-SNAPSHOT.tar.gz to some other machine,
> while running from there it always shows disconnected and no notebook are
> shown, even i am not able to create any notebook as well.
>
> [image: Screenshot 2015-09-01 09.14.54.png]
> i am not seeing anything in logs. can anyone please suggest me how can i
> further debug into it.
> thanks.
>
> On Wed, Aug 26, 2015 at 8:27 PM, moon soo Lee <mo...@apache.org> wrote:
>
>> Hi Pranav,
>>
>> Thanks for sharing the plan.
>> I think passing InterpreterContext to completion() make sense.
>> Although it changes interpreter api, changing now looks better than later.
>>
>> Thanks.
>> moon
>>
>> On Tue, Aug 25, 2015 at 11:22 PM Pranav Kumar Agarwal <pr...@gmail.com>
>> wrote:
>>
>>> Hi Moon,
>>>
>>> > I think releasing SparkIMain and related objects
>>> By packaging I meant to ask what is the process to "release SparkIMain
>>> and related objects"? for Zeppelin's code uptake?
>>>
>>> I have one more question:
>>> Most the changes to allow SparkInterpreter support ParallelScheduler are
>>> implemented but I'm struggling with the completion feature. Since I have
>>> SparkIMain interpreter for each notebook, completion functionality is
>>> not working as expected cause the completion method doesn't have
>>> InterpreterContext. I need to be able to pull notebook specific
>>> SparkIMain interpreter to return correct completion results, and for
>>> that I need to know the notbook-id at the time of completion call.
>>>
>>> I'm planning to change the Interpreter.java abstract method completion
>>> to pass InterpreterContext along with buffer and cursor location. This
>>> will require refactoring all the Interpreter's. It's a change in the
>>> contract, so thought will run with you before embarking on it...
>>>
>>> Please let me know your thoughts.
>>>
>>> Regards,
>>> -Pranav.
>>>
>>> On 18/08/15 8:04 am, moon soo Lee wrote:
>>> > Could you explain little bit more about package changes you mean?
>>> >
>>> > Thanks,
>>> > moon
>>> >
>>> > On Mon, Aug 17, 2015 at 10:27 AM Pranav Agarwal <praagarw@gmail.com
>>> > <ma...@gmail.com>> wrote:
>>> >
>>> > Any thoughts on how to package changes related to Spark?
>>> >
>>> > On 17-Aug-2015 7:58 pm, "moon soo Lee" <moon@apache.org
>>> > <ma...@apache.org>> wrote:
>>> >
>>> > I think releasing SparkIMain and related objects after
>>> > configurable inactivity would be good for now.
>>> >
>>> > About scheduler, I can help implementing such scheduler.
>>> >
>>> > Thanks,
>>> > moon
>>> >
>>> > On Sun, Aug 16, 2015 at 11:54 PM Pranav Kumar Agarwal
>>> > <praagarw@gmail.com <ma...@gmail.com>> wrote:
>>> >
>>> > Hi Moon,
>>> >
>>> > Yes, the notebookid comes from InterpreterContext. At the
>>> > moment destroying SparkIMain on deletion of notebook is
>>> > not handled. I think SparkIMain is a lightweight object,
>>> > do you see a concern having these objects in a map? One
>>> > possible option could be to destroy notebook related
>>> > objects when the inactivity on a notebook is greater than
>>> > say 8 hours.
>>> >
>>> >
>>> >> >> 4. Build a queue inside interpreter to allow only one
>>> >> paragraph execution
>>> >> >> at a time per notebook.
>>> >>
>>> >> One downside of this approach is, GUI will display
>>> >> RUNNING instead of PENDING for jobs inside of queue in
>>> >> interpreter.
>>> > Yes that's an good point. Having a scheduler at Zeppelin
>>> > server to build a scheduler that is parallel across
>>> > notebook's and FIFO across paragraph's will be nice. Is
>>> > there any plan for having such a scheduler?
>>> >
>>> > Regards,
>>> > -Pranav.
>>> >
>>> >
>>> > On 17/08/15 5:38 am, moon soo Lee wrote:
>>> >> Pranav, proposal looks awesome!
>>> >>
>>> >> I have a question and feedback,
>>> >>
>>> >> You said you tested 1,2 and 3. To create SparkIMain per
>>> >> notebook, you need information of notebook id. Did you
>>> >> get it from InterpreterContext?
>>> >> Then how did you handle destroying of SparkIMain (when
>>> >> notebook is deleting)?
>>> >> As far as i know, interpreter not able to get information
>>> >> of notebook deletion.
>>> >>
>>> >> >> 4. Build a queue inside interpreter to allow only one
>>> >> paragraph execution
>>> >> >> at a time per notebook.
>>> >>
>>> >> One downside of this approach is, GUI will display
>>> >> RUNNING instead of PENDING for jobs inside of queue in
>>> >> interpreter.
>>> >>
>>> >> Best,
>>> >> moon
>>> >>
>>> >> On Sun, Aug 16, 2015 at 12:55 AM IT CTO
>>> >> <goi.cto@gmail.com <ma...@gmail.com>> wrote:
>>> >>
>>> >> +1 for "to re-factor the Zeppelin architecture so
>>> >> that it can handle multi-tenancy easily"
>>> >>
>>> >> On Sun, Aug 16, 2015 at 9:47 AM DuyHai Doan
>>> >> <doanduyhai@gmail.com <ma...@gmail.com>>
>>> >> wrote:
>>> >>
>>> >> Agree with Joel, we may think to re-factor the
>>> >> Zeppelin architecture so that it can handle
>>> >> multi-tenancy easily. The technical solution
>>> >> proposed by Pranav is great but it only applies
>>> >> to Spark. Right now, each interpreter has to
>>> >> manage multi-tenancy its own way. Ultimately
>>> >> Zeppelin can propose a multi-tenancy
>>> >> contract/info (like UserContext, similar to
>>> >> InterpreterContext) so that each interpreter can
>>> >> choose to use or not.
>>> >>
>>> >>
>>> >> On Sun, Aug 16, 2015 at 3:09 AM, Joel Zambrano
>>> >> <djoelz@gmail.com <ma...@gmail.com>>
>>> wrote:
>>> >>
>>> >> I think while the idea of running multiple
>>> >> notes simultaneously is great. It is really
>>> >> dancing around the lack of true multi user
>>> >> support in Zeppelin. While the proposed
>>> >> solution would work if the applications
>>> >> resources are those of the whole cluster, if
>>> >> the app is limited (say they are 8 cores of
>>> >> 16, with some distribution in memory) then
>>> >> potentially your note can hog all the
>>> >> resources and the scheduler will have to
>>> >> throttle all other executions leaving you
>>> >> exactly where you are now.
>>> >> While I think the solution is a good one,
>>> >> maybe this question makes us think in adding
>>> >> true multiuser support.
>>> >> Where we isolate resources (cluster and the
>>> >> notebooks themselves), have separate
>>> >> login/identity and (I don't know if it's
>>> >> possible) share the same context.
>>> >>
>>> >> Thanks,
>>> >> Joel
>>> >>
>>> >> > On Aug 15, 2015, at 1:58 PM, Rohit Agarwal
>>> >> <mindprince@gmail.com
>>> >> <ma...@gmail.com>> wrote:
>>> >> >
>>> >> > If the problem is that multiple users have
>>> >> to wait for each other while
>>> >> > using Zeppelin, the solution already
>>> >> exists: they can create a new
>>> >> > interpreter by going to the interpreter
>>> >> page and attach it to their
>>> >> > notebook - then they don't have to wait for
>>> >> others to submit their job.
>>> >> >
>>> >> > But I agree, having paragraphs from one
>>> >> note wait for paragraphs from other
>>> >> > notes is a confusing default. We can get
>>> >> around that in two ways:
>>> >> >
>>> >> > 1. Create a new interpreter for each note
>>> >> and attach that interpreter to
>>> >> > that note. This approach would require
>>> the least amount
>>> >> of code changes but
>>> >> > is resource heavy and doesn't let you
>>> >> share Spark Context between different
>>> >> > notes.
>>> >> > 2. If we want to share the Spark Context
>>> >> between different notes, we can
>>> >> > submit jobs from different notes into
>>> >> different fairscheduler pools (
>>> >> >
>>> >>
>>> https://spark.apache.org/docs/1.4.0/job-scheduling.html#scheduling-within-an-application
>>> ).
>>> >> > This can be done by submitting jobs from
>>> >> different notes in different
>>> >> > threads. This will make sure that jobs
>>> >> from one note are run sequentially
>>> >> > but jobs from different notes will be
>>> >> able to run in parallel.
>>> >> >
>>> >> > Neither of these options require any change
>>> >> in the Spark code.
>>> >> >
>>> >> > --
>>> >> > Thanks & Regards
>>> >> > Rohit Agarwal
>>> >> > https://www.linkedin.com/in/rohitagarwal003
>>> >> >
>>> >> > On Sat, Aug 15, 2015 at 12:01 PM, Pranav
>>> >> Kumar Agarwal <praagarw@gmail.com
>>> >> <ma...@gmail.com>>
>>>
>>> >> > wrote:
>>> >> >
>>> >> >> If someone can share about the idea of
>>> >> sharing single SparkContext through
>>> >> >>> multiple SparkILoop safely, it'll be
>>> >> really helpful.
>>> >> >> Here is a proposal:
>>> >> >> 1. In Spark code, change SparkIMain.scala
>>> >> to allow setting the virtual
>>> >> >> directory. While creating new instances of
>>> >> SparkIMain per notebook from
>>> >> >> zeppelin spark interpreter set all the
>>> >> instances of SparkIMain to the same
>>> >> >> virtual directory.
>>> >> >> 2. Start HTTP server on that virtual
>>> >> directory and set this HTTP server in
>>> >> >> Spark Context using classserverUri method
>>> >> >> 3. Scala generated code has a notion of
>>> >> packages. The default package name
>>> >> >> is "line$<linenumber>". Package name can
>>> >> be controlled using System
>>> >> >> Property scala.repl.name.line. Setting
>>> >> this property to "notebook id"
>>> >> >> ensures that code generated by individual
>>> >> instances of SparkIMain is
>>> >> >> isolated from other instances of SparkIMain
>>> >> >> 4. Build a queue inside interpreter to
>>> >> allow only one paragraph execution
>>> >> >> at a time per notebook.
>>> >> >>
>>> >> >> I have tested 1, 2, and 3 and it seems to
>>> >> provide isolation across
>>> >> >> classnames. I'll work towards submitting a
>>> >> formal patch soon - Is there any
>>> >> >> Jira already for the same that I can
>>> >> uptake? Also I need to understand:
>>> >> >> 1. How does Zeppelin uptake Spark fixes?
>>> >> OR do I need to first work
>>> >> >> towards getting Spark changes merged in
>>> >> Apache Spark github?
>>> >> >>
>>> >> >> Any suggestions on comments on the
>>> >> proposal are highly welcome.
>>> >> >>
>>> >> >> Regards,
>>> >> >> -Pranav.
>>> >> >>
>>> >> >>> On 10/08/15 11:36 pm, moon soo Lee wrote:
>>> >> >>>
>>> >> >>> Hi piyush,
>>> >> >>>
>>> >> >>> Separate instance of SparkILoop
>>> >> SparkIMain for each notebook while
>>> >> >>> sharing the SparkContext sounds great.
>>> >> >>>
>>> >> >>> Actually, i tried to do it, found problem
>>> >> that multiple SparkILoop could
>>> >> >>> generates the same class name, and spark
>>> >> executor confuses classname since
>>> >> >>> they're reading classes from single
>>> >> SparkContext.
>>> >> >>>
>>> >> >>> If someone can share about the idea of
>>> >> sharing single SparkContext
>>> >> >>> through multiple SparkILoop safely, it'll
>>> >> be really helpful.
>>> >> >>>
>>> >> >>> Thanks,
>>> >> >>> moon
>>> >> >>>
>>> >> >>>
>>> >> >>> On Mon, Aug 10, 2015 at 1:21 AM Piyush
>>> >> Mukati (Data Platform) <
>>> >> >>> piyush.mukati@flipkart.com
>>> >> <ma...@flipkart.com>
>>> >> <mailto:piyush.mukati@flipkart.com
>>>
>>> >> <ma...@flipkart.com>>> wrote:
>>> >> >>>
>>> >> >>> Hi Moon,
>>> >> >>> Any suggestion on it, have to wait lot
>>> >> when multiple people working
>>> >> >>> with spark.
>>> >> >>> Can we create separate instance of
>>> >> SparkILoop SparkIMain and
>>> >> >>> printstrems for each notebook while
>>> >> sharing theSparkContext
>>> >> >>> ZeppelinContext SQLContext and
>>> >> DependencyResolver and then use parallel
>>> >> >>> scheduler ?
>>> >> >>> thanks
>>> >> >>>
>>> >> >>> -piyush
>>> >> >>>
>>> >> >>> Hi Moon,
>>> >> >>>
>>> >> >>> How about tracking dedicated
>>> >> SparkContext for a notebook in Spark's
>>> >> >>> remote interpreter - this will allow
>>> >> multiple users to run their spark
>>> >> >>> paragraphs in parallel. Also, within a
>>> >> notebook only one paragraph is
>>> >> >>> executed at a time.
>>> >> >>>
>>> >> >>> Regards,
>>> >> >>> -Pranav.
>>> >> >>>
>>> >> >>>
>>> >> >>>> On 15/07/15 7:15 pm, moon soo Lee wrote:
>>> >> >>>> Hi,
>>> >> >>>>
>>> >> >>>> Thanks for asking question.
>>> >> >>>>
>>> >> >>>> The reason is simply because of it is
>>> >> running code statements. The
>>> >> >>>> statements can have order and
>>> >> dependency. Imagine i have two
>>> >> >>> paragraphs
>>> >> >>>>
>>> >> >>>> %spark
>>> >> >>>> val a = 1
>>> >> >>>>
>>> >> >>>> %spark
>>> >> >>>> print(a)
>>> >> >>>>
>>> >> >>>> If they're not running one by one, that
>>> >> means they possibly runs in
>>> >> >>>> random order and the output will be
>>> >> always different. Either '1' or
>>> >> >>>> 'val a can not found'.
>>> >> >>>>
>>> >> >>>> This is the reason why. But if there are
>>> >> nice idea to handle this
>>> >> >>>> problem i agree using parallel scheduler
>>> >> would help a lot.
>>> >> >>>>
>>> >> >>>> Thanks,
>>> >> >>>> moon
>>> >> >>>> On 2015년 7월 14일 (화) at 오후 7:59
>>> >> linxi zeng
>>> >> >>>> <linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>
>>> >> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>
>>> >> >>> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>
>>> >> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>>>
>>> >> >>> wrote:
>>> >> >>>>
>>> >> >>>> any one who have the same question with
>>> >> me? or this is not a
>>> >> >>> question?
>>> >> >>>>
>>> >> >>>> 2015-07-14 11:47 GMT+08:00 linxi zeng
>>> >> <linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>
>>> >> >>> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>
>>> >> >>>> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com> <mailto:
>>> >> >>> linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>>>:
>>> >> >>>>
>>> >> >>>> hi, Moon:
>>> >> >>>> I notice that the getScheduler
>>> >> function in the
>>> >> >>>> SparkInterpreter.java return a
>>> >> FIFOScheduler which makes the
>>> >> >>>> spark interpreter run spark job one
>>> >> by one. It's not a good
>>> >> >>>> experience when couple of users do
>>> >> some work on zeppelin at
>>> >> >>>> the same time, because they have to
>>> >> wait for each other.
>>> >> >>>> And at the same time,
>>> >> SparkSqlInterpreter can chose what
>>> >> >>>> scheduler to use by
>>> >> "zeppelin.spark.concurrentSQL".
>>> >> >>>> My question is, what kind of
>>> >> consideration do you based on
>>> >> >>> to
>>> >> >>>> make such a decision?
>>> >> >>>
>>> >> >>>
>>> >> >>>
>>> >> >>>
>>> >> >>>
>>> >>
>>> ------------------------------------------------------------------------------------------------------------------------------------------
>>> >> >>>
>>> >> >>> This email and any files transmitted
>>> >> with it are confidential and
>>> >> >>> intended solely for the use of the
>>> >> individual or entity to whom
>>> >> >>> they are addressed. If you have
>>> >> received this email in error
>>> >> >>> please notify the system manager. This
>>> >> message contains
>>> >> >>> confidential information and is intended
>>> >> only for the individual
>>> >> >>> named. If you are not the named addressee
>>> >> you should not
>>> >> >>> disseminate, distribute or copy this
>>> >> e-mail. Please notify the
>>> >> >>> sender immediately by e-mail if you have
>>> >> received this e-mail by
>>> >> >>> mistake and delete this e-mail from your
>>> >> system. If you are not
>>> >> >>> the intended recipient you are
>>> >> notified that disclosing, copying,
>>> >> >>> distributing or taking any action in
>>> >> reliance on the contents of
>>> >> >>> this information is strictly
>>> >> prohibited. Although Flipkart has
>>> >> >>> taken reasonable precautions to ensure no
>>> >> viruses are present in
>>> >> >>> this email, the company cannot accept
>>> >> responsibility for any loss
>>> >> >>> or damage arising from the use of this
>>> >> email or attachments
>>> >> >>
>>> >>
>>> >>
>>> >
>>>
>>>
>
>
> ------------------------------------------------------------------------------------------------------------------------------------------
>
> This email and any files transmitted with it are confidential and intended
> solely for the use of the individual or entity to whom they are addressed.
> If you have received this email in error please notify the system manager.
> This message contains confidential information and is intended only for the
> individual named. If you are not the named addressee you should not
> disseminate, distribute or copy this e-mail. Please notify the sender
> immediately by e-mail if you have received this e-mail by mistake and
> delete this e-mail from your system. If you are not the intended recipient
> you are notified that disclosing, copying, distributing or taking any
> action in reliance on the contents of this information is strictly
> prohibited. Although Flipkart has taken reasonable precautions to ensure no
> viruses are present in this email, the company cannot accept responsibility
> for any loss or damage arising from the use of this email or attachments
>
Re: why zeppelin SparkInterpreter use FIFOScheduler
Posted by moon soo Lee <mo...@apache.org>.
Hi,
I'm not sure what could be wrong.
can you see any existing notebook?
Best,
moon
On Mon, Aug 31, 2015 at 8:48 PM Piyush Mukati (Data Platform) <
piyush.mukati@flipkart.com> wrote:
> Hi,
> we have passed the InterpreterContext to completion() , it is working
> good on my local dev setup.
> but after
> mvn clean package -P build-distr -Pspark-1.4 -Dhadoop.version=2.6.0
> -Phadoop-2.6 -Pyarn
> I copied zeppelin-0.6.0-incubating-SNAPSHOT.tar.gz to some other machine,
> while running from there it always shows disconnected and no notebook are
> shown, even i am not able to create any notebook as well.
>
> [image: Screenshot 2015-09-01 09.14.54.png]
> i am not seeing anything in logs. can anyone please suggest me how can i
> further debug into it.
> thanks.
>
> On Wed, Aug 26, 2015 at 8:27 PM, moon soo Lee <mo...@apache.org> wrote:
>
>> Hi Pranav,
>>
>> Thanks for sharing the plan.
>> I think passing InterpreterContext to completion() make sense.
>> Although it changes interpreter api, changing now looks better than later.
>>
>> Thanks.
>> moon
>>
>> On Tue, Aug 25, 2015 at 11:22 PM Pranav Kumar Agarwal <pr...@gmail.com>
>> wrote:
>>
>>> Hi Moon,
>>>
>>> > I think releasing SparkIMain and related objects
>>> By packaging I meant to ask what is the process to "release SparkIMain
>>> and related objects"? for Zeppelin's code uptake?
>>>
>>> I have one more question:
>>> Most the changes to allow SparkInterpreter support ParallelScheduler are
>>> implemented but I'm struggling with the completion feature. Since I have
>>> SparkIMain interpreter for each notebook, completion functionality is
>>> not working as expected cause the completion method doesn't have
>>> InterpreterContext. I need to be able to pull notebook specific
>>> SparkIMain interpreter to return correct completion results, and for
>>> that I need to know the notbook-id at the time of completion call.
>>>
>>> I'm planning to change the Interpreter.java abstract method completion
>>> to pass InterpreterContext along with buffer and cursor location. This
>>> will require refactoring all the Interpreter's. It's a change in the
>>> contract, so thought will run with you before embarking on it...
>>>
>>> Please let me know your thoughts.
>>>
>>> Regards,
>>> -Pranav.
>>>
>>> On 18/08/15 8:04 am, moon soo Lee wrote:
>>> > Could you explain little bit more about package changes you mean?
>>> >
>>> > Thanks,
>>> > moon
>>> >
>>> > On Mon, Aug 17, 2015 at 10:27 AM Pranav Agarwal <praagarw@gmail.com
>>> > <ma...@gmail.com>> wrote:
>>> >
>>> > Any thoughts on how to package changes related to Spark?
>>> >
>>> > On 17-Aug-2015 7:58 pm, "moon soo Lee" <moon@apache.org
>>> > <ma...@apache.org>> wrote:
>>> >
>>> > I think releasing SparkIMain and related objects after
>>> > configurable inactivity would be good for now.
>>> >
>>> > About scheduler, I can help implementing such scheduler.
>>> >
>>> > Thanks,
>>> > moon
>>> >
>>> > On Sun, Aug 16, 2015 at 11:54 PM Pranav Kumar Agarwal
>>> > <praagarw@gmail.com <ma...@gmail.com>> wrote:
>>> >
>>> > Hi Moon,
>>> >
>>> > Yes, the notebookid comes from InterpreterContext. At the
>>> > moment destroying SparkIMain on deletion of notebook is
>>> > not handled. I think SparkIMain is a lightweight object,
>>> > do you see a concern having these objects in a map? One
>>> > possible option could be to destroy notebook related
>>> > objects when the inactivity on a notebook is greater than
>>> > say 8 hours.
>>> >
>>> >
>>> >> >> 4. Build a queue inside interpreter to allow only one
>>> >> paragraph execution
>>> >> >> at a time per notebook.
>>> >>
>>> >> One downside of this approach is, GUI will display
>>> >> RUNNING instead of PENDING for jobs inside of queue in
>>> >> interpreter.
>>> > Yes that's an good point. Having a scheduler at Zeppelin
>>> > server to build a scheduler that is parallel across
>>> > notebook's and FIFO across paragraph's will be nice. Is
>>> > there any plan for having such a scheduler?
>>> >
>>> > Regards,
>>> > -Pranav.
>>> >
>>> >
>>> > On 17/08/15 5:38 am, moon soo Lee wrote:
>>> >> Pranav, proposal looks awesome!
>>> >>
>>> >> I have a question and feedback,
>>> >>
>>> >> You said you tested 1,2 and 3. To create SparkIMain per
>>> >> notebook, you need information of notebook id. Did you
>>> >> get it from InterpreterContext?
>>> >> Then how did you handle destroying of SparkIMain (when
>>> >> notebook is deleting)?
>>> >> As far as i know, interpreter not able to get information
>>> >> of notebook deletion.
>>> >>
>>> >> >> 4. Build a queue inside interpreter to allow only one
>>> >> paragraph execution
>>> >> >> at a time per notebook.
>>> >>
>>> >> One downside of this approach is, GUI will display
>>> >> RUNNING instead of PENDING for jobs inside of queue in
>>> >> interpreter.
>>> >>
>>> >> Best,
>>> >> moon
>>> >>
>>> >> On Sun, Aug 16, 2015 at 12:55 AM IT CTO
>>> >> <goi.cto@gmail.com <ma...@gmail.com>> wrote:
>>> >>
>>> >> +1 for "to re-factor the Zeppelin architecture so
>>> >> that it can handle multi-tenancy easily"
>>> >>
>>> >> On Sun, Aug 16, 2015 at 9:47 AM DuyHai Doan
>>> >> <doanduyhai@gmail.com <ma...@gmail.com>>
>>> >> wrote:
>>> >>
>>> >> Agree with Joel, we may think to re-factor the
>>> >> Zeppelin architecture so that it can handle
>>> >> multi-tenancy easily. The technical solution
>>> >> proposed by Pranav is great but it only applies
>>> >> to Spark. Right now, each interpreter has to
>>> >> manage multi-tenancy its own way. Ultimately
>>> >> Zeppelin can propose a multi-tenancy
>>> >> contract/info (like UserContext, similar to
>>> >> InterpreterContext) so that each interpreter can
>>> >> choose to use or not.
>>> >>
>>> >>
>>> >> On Sun, Aug 16, 2015 at 3:09 AM, Joel Zambrano
>>> >> <djoelz@gmail.com <ma...@gmail.com>>
>>> wrote:
>>> >>
>>> >> I think while the idea of running multiple
>>> >> notes simultaneously is great. It is really
>>> >> dancing around the lack of true multi user
>>> >> support in Zeppelin. While the proposed
>>> >> solution would work if the applications
>>> >> resources are those of the whole cluster, if
>>> >> the app is limited (say they are 8 cores of
>>> >> 16, with some distribution in memory) then
>>> >> potentially your note can hog all the
>>> >> resources and the scheduler will have to
>>> >> throttle all other executions leaving you
>>> >> exactly where you are now.
>>> >> While I think the solution is a good one,
>>> >> maybe this question makes us think in adding
>>> >> true multiuser support.
>>> >> Where we isolate resources (cluster and the
>>> >> notebooks themselves), have separate
>>> >> login/identity and (I don't know if it's
>>> >> possible) share the same context.
>>> >>
>>> >> Thanks,
>>> >> Joel
>>> >>
>>> >> > On Aug 15, 2015, at 1:58 PM, Rohit Agarwal
>>> >> <mindprince@gmail.com
>>> >> <ma...@gmail.com>> wrote:
>>> >> >
>>> >> > If the problem is that multiple users have
>>> >> to wait for each other while
>>> >> > using Zeppelin, the solution already
>>> >> exists: they can create a new
>>> >> > interpreter by going to the interpreter
>>> >> page and attach it to their
>>> >> > notebook - then they don't have to wait for
>>> >> others to submit their job.
>>> >> >
>>> >> > But I agree, having paragraphs from one
>>> >> note wait for paragraphs from other
>>> >> > notes is a confusing default. We can get
>>> >> around that in two ways:
>>> >> >
>>> >> > 1. Create a new interpreter for each note
>>> >> and attach that interpreter to
>>> >> > that note. This approach would require
>>> the least amount
>>> >> of code changes but
>>> >> > is resource heavy and doesn't let you
>>> >> share Spark Context between different
>>> >> > notes.
>>> >> > 2. If we want to share the Spark Context
>>> >> between different notes, we can
>>> >> > submit jobs from different notes into
>>> >> different fairscheduler pools (
>>> >> >
>>> >>
>>> https://spark.apache.org/docs/1.4.0/job-scheduling.html#scheduling-within-an-application
>>> ).
>>> >> > This can be done by submitting jobs from
>>> >> different notes in different
>>> >> > threads. This will make sure that jobs
>>> >> from one note are run sequentially
>>> >> > but jobs from different notes will be
>>> >> able to run in parallel.
>>> >> >
>>> >> > Neither of these options require any change
>>> >> in the Spark code.
>>> >> >
>>> >> > --
>>> >> > Thanks & Regards
>>> >> > Rohit Agarwal
>>> >> > https://www.linkedin.com/in/rohitagarwal003
>>> >> >
>>> >> > On Sat, Aug 15, 2015 at 12:01 PM, Pranav
>>> >> Kumar Agarwal <praagarw@gmail.com
>>> >> <ma...@gmail.com>>
>>>
>>> >> > wrote:
>>> >> >
>>> >> >> If someone can share about the idea of
>>> >> sharing single SparkContext through
>>> >> >>> multiple SparkILoop safely, it'll be
>>> >> really helpful.
>>> >> >> Here is a proposal:
>>> >> >> 1. In Spark code, change SparkIMain.scala
>>> >> to allow setting the virtual
>>> >> >> directory. While creating new instances of
>>> >> SparkIMain per notebook from
>>> >> >> zeppelin spark interpreter set all the
>>> >> instances of SparkIMain to the same
>>> >> >> virtual directory.
>>> >> >> 2. Start HTTP server on that virtual
>>> >> directory and set this HTTP server in
>>> >> >> Spark Context using classserverUri method
>>> >> >> 3. Scala generated code has a notion of
>>> >> packages. The default package name
>>> >> >> is "line$<linenumber>". Package name can
>>> >> be controlled using System
>>> >> >> Property scala.repl.name.line. Setting
>>> >> this property to "notebook id"
>>> >> >> ensures that code generated by individual
>>> >> instances of SparkIMain is
>>> >> >> isolated from other instances of SparkIMain
>>> >> >> 4. Build a queue inside interpreter to
>>> >> allow only one paragraph execution
>>> >> >> at a time per notebook.
>>> >> >>
>>> >> >> I have tested 1, 2, and 3 and it seems to
>>> >> provide isolation across
>>> >> >> classnames. I'll work towards submitting a
>>> >> formal patch soon - Is there any
>>> >> >> Jira already for the same that I can
>>> >> uptake? Also I need to understand:
>>> >> >> 1. How does Zeppelin uptake Spark fixes?
>>> >> OR do I need to first work
>>> >> >> towards getting Spark changes merged in
>>> >> Apache Spark github?
>>> >> >>
>>> >> >> Any suggestions on comments on the
>>> >> proposal are highly welcome.
>>> >> >>
>>> >> >> Regards,
>>> >> >> -Pranav.
>>> >> >>
>>> >> >>> On 10/08/15 11:36 pm, moon soo Lee wrote:
>>> >> >>>
>>> >> >>> Hi piyush,
>>> >> >>>
>>> >> >>> Separate instance of SparkILoop
>>> >> SparkIMain for each notebook while
>>> >> >>> sharing the SparkContext sounds great.
>>> >> >>>
>>> >> >>> Actually, i tried to do it, found problem
>>> >> that multiple SparkILoop could
>>> >> >>> generates the same class name, and spark
>>> >> executor confuses classname since
>>> >> >>> they're reading classes from single
>>> >> SparkContext.
>>> >> >>>
>>> >> >>> If someone can share about the idea of
>>> >> sharing single SparkContext
>>> >> >>> through multiple SparkILoop safely, it'll
>>> >> be really helpful.
>>> >> >>>
>>> >> >>> Thanks,
>>> >> >>> moon
>>> >> >>>
>>> >> >>>
>>> >> >>> On Mon, Aug 10, 2015 at 1:21 AM Piyush
>>> >> Mukati (Data Platform) <
>>> >> >>> piyush.mukati@flipkart.com
>>> >> <ma...@flipkart.com>
>>> >> <mailto:piyush.mukati@flipkart.com
>>>
>>> >> <ma...@flipkart.com>>> wrote:
>>> >> >>>
>>> >> >>> Hi Moon,
>>> >> >>> Any suggestion on it, have to wait lot
>>> >> when multiple people working
>>> >> >>> with spark.
>>> >> >>> Can we create separate instance of
>>> >> SparkILoop SparkIMain and
>>> >> >>> printstrems for each notebook while
>>> >> sharing theSparkContext
>>> >> >>> ZeppelinContext SQLContext and
>>> >> DependencyResolver and then use parallel
>>> >> >>> scheduler ?
>>> >> >>> thanks
>>> >> >>>
>>> >> >>> -piyush
>>> >> >>>
>>> >> >>> Hi Moon,
>>> >> >>>
>>> >> >>> How about tracking dedicated
>>> >> SparkContext for a notebook in Spark's
>>> >> >>> remote interpreter - this will allow
>>> >> multiple users to run their spark
>>> >> >>> paragraphs in parallel. Also, within a
>>> >> notebook only one paragraph is
>>> >> >>> executed at a time.
>>> >> >>>
>>> >> >>> Regards,
>>> >> >>> -Pranav.
>>> >> >>>
>>> >> >>>
>>> >> >>>> On 15/07/15 7:15 pm, moon soo Lee wrote:
>>> >> >>>> Hi,
>>> >> >>>>
>>> >> >>>> Thanks for asking question.
>>> >> >>>>
>>> >> >>>> The reason is simply because of it is
>>> >> running code statements. The
>>> >> >>>> statements can have order and
>>> >> dependency. Imagine i have two
>>> >> >>> paragraphs
>>> >> >>>>
>>> >> >>>> %spark
>>> >> >>>> val a = 1
>>> >> >>>>
>>> >> >>>> %spark
>>> >> >>>> print(a)
>>> >> >>>>
>>> >> >>>> If they're not running one by one, that
>>> >> means they possibly runs in
>>> >> >>>> random order and the output will be
>>> >> always different. Either '1' or
>>> >> >>>> 'val a can not found'.
>>> >> >>>>
>>> >> >>>> This is the reason why. But if there are
>>> >> nice idea to handle this
>>> >> >>>> problem i agree using parallel scheduler
>>> >> would help a lot.
>>> >> >>>>
>>> >> >>>> Thanks,
>>> >> >>>> moon
>>> >> >>>> On 2015년 7월 14일 (화) at 오후 7:59
>>> >> linxi zeng
>>> >> >>>> <linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>
>>> >> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>
>>> >> >>> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>
>>> >> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>>>
>>> >> >>> wrote:
>>> >> >>>>
>>> >> >>>> any one who have the same question with
>>> >> me? or this is not a
>>> >> >>> question?
>>> >> >>>>
>>> >> >>>> 2015-07-14 11:47 GMT+08:00 linxi zeng
>>> >> <linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>
>>> >> >>> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>
>>> >> >>>> <mailto:linxizeng0615@gmail.com
>>> >> <ma...@gmail.com> <mailto:
>>> >> >>> linxizeng0615@gmail.com
>>> >> <ma...@gmail.com>>>>:
>>> >> >>>>
>>> >> >>>> hi, Moon:
>>> >> >>>> I notice that the getScheduler
>>> >> function in the
>>> >> >>>> SparkInterpreter.java return a
>>> >> FIFOScheduler which makes the
>>> >> >>>> spark interpreter run spark job one
>>> >> by one. It's not a good
>>> >> >>>> experience when couple of users do
>>> >> some work on zeppelin at
>>> >> >>>> the same time, because they have to
>>> >> wait for each other.
>>> >> >>>> And at the same time,
>>> >> SparkSqlInterpreter can chose what
>>> >> >>>> scheduler to use by
>>> >> "zeppelin.spark.concurrentSQL".
>>> >> >>>> My question is, what kind of
>>> >> consideration do you based on
>>> >> >>> to
>>> >> >>>> make such a decision?
>>> >> >>>
>>> >> >>>
>>> >> >>>
>>> >> >>>
>>> >> >>>
>>> >>
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