Yes, the scheduler applies to the entire note, not just paragraph
Le 25 avr. 2017 02:39, "kant kodali" a écrit :
> Also it doesn't look like we can run a scheduler on one paragraph? we have
> to run the scheduler for the entire notebook always?
>
> On Mon, Apr 24, 2017 at 1:06 PM, kant kodali wr
yeah This creates a problem when dealing with spark streaming because we
can't call streamingcontext.start() multiple times since it will result in
ILLEGAL State Exception. anyways still looking for ways to update this
dashboard/UI/Graph through web socket?
On Tue, Apr 25, 2017 at 7:03 AM, DuyHai
You could have multiple notes sharing interpreter - could you have one note for
setup to call streamingcontext.start and another note on a schedule just to run
the select sql statement?
_
From: kant kodali mailto:kanth...@gmail.com>>
Sent: Tuesday, April 25, 2017 8:12
Do I need to do anything to share interpreter across notes or it is just
the default behavior? if it is a default behavior and say a company of 100
employees want to use the notebook. Do they all share the same SparkContext
and Streaming Context by default?
On Tue, Apr 25, 2017 at 8:43 AM, Felix C
By default, the interpreter is shared across notebooks. However, in newer
Zeppelin versions (at least in 0.7) you have the option of setting
interpreter options.
Copying from this url -
https://zeppelin.apache.org/docs/latest/interpreter/spark.html
"
Interpreter setting option
You can choose one
Hello,
I'm currently running version 0.7.0 and 0.7.1 .
When I execute a paragraph it will display the console log no matter if I
selected the simple or report mode for the notebook.
I wonder if there is a trick to hide the paragraph console output but still
display the actual output like selecti
I have restarted interpreter after creating the entity in credential menu. It
still doesn’t work. I think that, because this issue occurs with both
credentials and when I set default.user, it is somehow an issue with how the
snowflake driver is connecting with zeppelin’s jdbc driver. I tried tra