t do anything.
INFO [2018-02-12 01:12:57,129] ({pool-1-thread-4}
> RemoteInterpreterServer.java[cancel]:674) - cancel
> org.apache.zeppelin.spark.IPySparkInterpreter 20180212-001114_111220272
> INFO [2018-02-12 01:12:57,134] ({pool-1-thread-4}
> Logging.scala[logInfo]:54) - Asked to cance
Trying out below settings for the new TimeoutLifecycleManager :
> zeppelin.interpreter.lifecyclemanager.class
> org.apache.zeppelin.interpreter.lifecycle.TimeoutLifecycleManager
> zeppelin.interpreter.lifecyclemanager.timeout.checkinterval
> 6
> zeppelin.interpreter.lifecyclemanager.timeout.t
Right, you spark interpreter should be killed in 10 minutes of idless,
could you attach your full zeppelin server log & spark interpreter log ?
Ruslan Dautkhanov 于2018年2月13日周二 上午7:45写道：
> Trying out below settings for the new TimeoutLifecycleManager :
>
>
>> zeppelin.interpreter.lifecyclemanager
Hi,
I'd like to try zeppelin but require the use of external dependencies. It
seems ideal to do this on a notebook-by-notebook basis for portability, and
also for the current docker setup, since adding dependencies in the
interpreter configuration isn't persisted when the container goes away.
Cur
I believe this is spark bug
https://issues.apache.org/jira/browse/SPARK-18880
Brandon Barker 于2018年2月13日周二 上午9:42写道：
> Hi,
>
> I'd like to try zeppelin but require the use of external dependencies. It
> seems ideal to do this on a notebook-by-notebook basis for portability, and
> also for the c
Nevermind. I figured this out. It works as expected. Great feature!
--
Ruslan Dautkhanov
On Mon, Feb 12, 2018 at 5:16 PM, Jeff Zhang wrote:
>
> Right, you spark interpreter should be killed in 10 minutes of idless,
> could you attach your full zeppelin server log & spark interpreter log ?
>
