Re: z.load() Must be used before SparkInterpreter (%spark) initialized?

[Jeff Zhang]

Thanks Rick for detailed explanation. It should be very helpful for users.

Personally I would suggest user to set additional jars in interpreter
setting instead of using %dep. For the long term solution, I am considering
to put configuration into note itself. e.g. for each interpreter,  there
would be one special interpreter to initialize the interpreter setting (to
override the default interpreter setting of zeppelin).  This special
interpreter could be called something like %spark.init

And user need to put this as the first paragraph of note before running any
other paragraph. The purpose is that to not only include the code but also
include the configuration into note. so that user can rerun the note in
other zeppelin instances. Just make note as a self-contained concept
without any external dependencies.




Rick Moritz 于2017年7月27日周四 上午12:52写道：

> Please allow me to opinionate on that subject:
>
> To me, there are two options: Indeed you either run the Spark interpreter
> in isolated mode, or you have dedicated Spark Interpreter-Groups per
> organziational unit, so you can manage dependencies independently.
> Obviously, there's no way around restarting the interpreter, when you need
> to tell the classloader of additional Jars in the classloader, never mind
> distributing those jars across the cluster without calling spark-submit.
> Since an interpreter represents an actual running JVM, you need to treat it
> as such. I assume that is also the reason, why z.load has been superseded
> by dependency configuration in the Interpreter settings.
>
> A good way to manage dependencies is to collate all the dependencies per
> unit in a fat-jar, and manage that via an external build. That way you can
> have testable dependencies, and a curated experience, where everything just
> works -- as long as someone puts that effort in. Still, with a
> collaborative tool, that's better than everyone putting in their favorite
> lib, and then causing each interpreter start to pull in half the Internet
> in transitive dependencies, with potential conflicts to boot. Zeppelin will
> be slowish, if every interpreter start starts off with uploading a GB of
> dependencies into the cluster.
>
> In an ad hoc, almost-single-user environment, you can work well with
> Zeppelin's built-in dependency management, but I don't really see it scale
> to the enterprise level -- and I don't think it should either. There's no
> point in investing ressources into something, that external tools can
> already easily provide.
>
> I wouldn't deploy Zeppelin as enterprise infrastructure either - deploy
> one Zeppelin per project. and manage segregation there by separate
> interpreters. This also helps with finer ressource management.
>
> I hope this helps your understanding, as well as giving you some pointers
> on how to manage Zeppelin in such a way, that there are less conflicts
> between users.
>
> On Wed, Jul 26, 2017 at 2:30 PM, Davidson, Jonathan <
> jonathan.david...@optum.com> wrote:
>
>> We’ve also found it undesirable being unable to load extra jars without
>> restarting the interpreter. Is the best way to mitigate this by running in
>> isolated mode (by note or user), so that other users are less affected? Is
>> there any development in progress to load without restart?
>>
>>
>>
>> Thanks!
>>
>>
>>
>> *From:* Jeff Zhang [mailto:zjf...@gmail.com]
>> *Sent:* Tuesday, July 25, 2017 8:31 PM
>> *To:* Users 
>> *Subject:* Re: z.load() Must be used before SparkInterpreter (%spark)
>> initialized?
>>
>>
>>
>>
>>
>> It is not restarting zeppelin, you just need to restart spark interpreter.
>>
>>
>>
>>
>>
>> Richard Xin 于2017年7月26日周三 上午12:53写道：
>>
>> I used %dep
>>
>> z.load("path/to/jar")
>>
>> I got following error:
>>
>> Must be used before SparkInterpreter (%spark) initialized
>>
>> Hint: put this paragraph before any Spark code and restart
>> Zeppelin/Interpreter
>>
>>
>>
>> restart zeppelin did make it work, it seems to be an expected behavior,
>> but I don't understand thee reason behind it. If every time I have to
>> restart zeppelin before I could dynamically add an external jar, then this
>> feature is useless to most people.
>>
>>
>>
>> Richard Xin
>>
>>
>> This e-mail, including attachments, may include confidential and/or
>> proprietary information, and may be used only by the person or entity
>> to which it is addressed. If the reader of this e-mail is not the intended
>> recipient or his or her authorized agent, the reader is hereby notified
>> that any dissemination, distribution or copying of this e-mail is
>> prohibited. If you have received this e-mail in error, please notify the
>> sender by replying to this message and delete this e-mail immediately.
>>
>>
>> This e-mail, including attachments, may include confidential and/or
>> proprietary information, and may be used only by the person or entity
>> to which it is addressed. If the reader of this e-mail 

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activeDirectoryRealm.groupRolesMap

[Richard Xin]

I am facing some hurdle with activeDirectoryRealm.groupRolesMapthe following is 
the content of my shiro.ini...activeDirectoryRealm.groupRolesMap = 
"CN=Zeppelin-Admin,OU=Zeppelin,OU=Applications,OU=Groups,DC=directory,DC=[domain_here],DC=com":"admin","CN=ZeppelinZepZeppelinpelin-Devs,OU=Zepplin,OU=Applications,OU=Groups,DC=directory,DC=[domain_here],DC=com":"developer","CN=Zeppelin-Analyst,OU=Zeppelin,OU=Applications,OU=Groups,DC=directory,DC=DC=[domain_here],DC=com":"datascientist"
activeDirectoryRealm.authorizationCachingEnabled = 
falseactiveDirectoryRealm.principalSuffix = @directory.mydomain.com...
[roles]
admin = *
datascientist = *developer = *
[urls]uncomment the below urls that you want to hide./api/version = anon
/api/interpreter/** = authc, roles[admin]/** = authc


My AD account is member of 
"CN=Zeppelin-Admin,OU=Zeppelin,OU=Applications,OU=Groups,DC=directory,DC=[domain_here],DC=com",
 but when I login, I saw followings in the log:

WARN [2017-07-26 00:14:10,981] (
{qtp1287712235-15} LoginRestApi.java[postLogin]:119) - 
{"status":"OK","message":"","body":{"principal":"richard.xin","ticket":"b681cbbb-8a10-40c8-9ba8-c46ee59efd42","roles":"[]"}}

please note roles node is empty, I was expecting "admin" in the role list, does 
anyone have similar issue? is my config activeDirectoryRealm.groupRolesMap 
correct?
Thanks,Richard Xin

Re: z.load() Must be used before SparkInterpreter (%spark) initialized?

[Rick Moritz]

Please allow me to opinionate on that subject:

To me, there are two options: Indeed you either run the Spark interpreter
in isolated mode, or you have dedicated Spark Interpreter-Groups per
organziational unit, so you can manage dependencies independently.
Obviously, there's no way around restarting the interpreter, when you need
to tell the classloader of additional Jars in the classloader, never mind
distributing those jars across the cluster without calling spark-submit.
Since an interpreter represents an actual running JVM, you need to treat it
as such. I assume that is also the reason, why z.load has been superseded
by dependency configuration in the Interpreter settings.

A good way to manage dependencies is to collate all the dependencies per
unit in a fat-jar, and manage that via an external build. That way you can
have testable dependencies, and a curated experience, where everything just
works -- as long as someone puts that effort in. Still, with a
collaborative tool, that's better than everyone putting in their favorite
lib, and then causing each interpreter start to pull in half the Internet
in transitive dependencies, with potential conflicts to boot. Zeppelin will
be slowish, if every interpreter start starts off with uploading a GB of
dependencies into the cluster.

In an ad hoc, almost-single-user environment, you can work well with
Zeppelin's built-in dependency management, but I don't really see it scale
to the enterprise level -- and I don't think it should either. There's no
point in investing ressources into something, that external tools can
already easily provide.

I wouldn't deploy Zeppelin as enterprise infrastructure either - deploy one
Zeppelin per project. and manage segregation there by separate
interpreters. This also helps with finer ressource management.

I hope this helps your understanding, as well as giving you some pointers
on how to manage Zeppelin in such a way, that there are less conflicts
between users.

On Wed, Jul 26, 2017 at 2:30 PM, Davidson, Jonathan <
jonathan.david...@optum.com> wrote:

> We’ve also found it undesirable being unable to load extra jars without
> restarting the interpreter. Is the best way to mitigate this by running in
> isolated mode (by note or user), so that other users are less affected? Is
> there any development in progress to load without restart?
>
>
>
> Thanks!
>
>
>
> *From:* Jeff Zhang [mailto:zjf...@gmail.com]
> *Sent:* Tuesday, July 25, 2017 8:31 PM
> *To:* Users 
> *Subject:* Re: z.load() Must be used before SparkInterpreter (%spark)
> initialized?
>
>
>
>
>
> It is not restarting zeppelin, you just need to restart spark interpreter.
>
>
>
>
>
> Richard Xin 于2017年7月26日周三 上午12:53写道：
>
> I used %dep
>
> z.load("path/to/jar")
>
> I got following error:
>
> Must be used before SparkInterpreter (%spark) initialized
>
> Hint: put this paragraph before any Spark code and restart
> Zeppelin/Interpreter
>
>
>
> restart zeppelin did make it work, it seems to be an expected behavior,
> but I don't understand thee reason behind it. If every time I have to
> restart zeppelin before I could dynamically add an external jar, then this
> feature is useless to most people.
>
>
>
> Richard Xin
>
>
> This e-mail, including attachments, may include confidential and/or
> proprietary information, and may be used only by the person or entity
> to which it is addressed. If the reader of this e-mail is not the intended
> recipient or his or her authorized agent, the reader is hereby notified
> that any dissemination, distribution or copying of this e-mail is
> prohibited. If you have received this e-mail in error, please notify the
> sender by replying to this message and delete this e-mail immediately.
>
>
> This e-mail, including attachments, may include confidential and/or
> proprietary information, and may be used only by the person or entity
> to which it is addressed. If the reader of this e-mail is not the intended
> recipient or his or her authorized agent, the reader is hereby notified
> that any dissemination, distribution or copying of this e-mail is
> prohibited. If you have received this e-mail in error, please notify the
> sender by replying to this message and delete this e-mail immediately.
>

RE: z.load() Must be used before SparkInterpreter (%spark) initialized?

[Davidson, Jonathan]

We’ve also found it undesirable being unable to load extra jars without 
restarting the interpreter. Is the best way to mitigate this by running in 
isolated mode (by note or user), so that other users are less affected? Is 
there any development in progress to load without restart?

Thanks!

From: Jeff Zhang [mailto:zjf...@gmail.com]
Sent: Tuesday, July 25, 2017 8:31 PM
To: Users 
Subject: Re: z.load() Must be used before SparkInterpreter (%spark) initialized?


It is not restarting zeppelin, you just need to restart spark interpreter.


Richard Xin 
>于2017年7月26日周三 
上午12:53写道：
I used %dep
z.load("path/to/jar")
I got following error:
Must be used before SparkInterpreter (%spark) initialized
Hint: put this paragraph before any Spark code and restart Zeppelin/Interpreter

restart zeppelin did make it work, it seems to be an expected behavior, but I 
don't understand thee reason behind it. If every time I have to restart 
zeppelin before I could dynamically add an external jar, then this feature is 
useless to most people.

Richard Xin

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