How much RAM do you expect to be available and how much RAM do you
expect to be using?

On Mon, Nov 20, 2017 at 3:51 PM, Brian Granger <[email protected]> wrote:
> I haven't looked into the details of your configuration, but in
> general, Jupyter and the python kernels have no problem using whatever
> RAM the system makes available to it. I have created single NumPY
> arrays with 1TB of RAM with no problem. If you are running out of RAM,
> it is a system level thing related to the configuration of the system,
> physical RAM of the system and your deployment of Jupyter.
>
> On Mon, Nov 20, 2017 at 11:58 AM, Karthik Ram <[email protected]> wrote:
>> Argg. Thank you Thomas. It did run longer(17 min as opposed to 10 min) this
>> time after I un-commented those lines, but still saw the same issue. Is
>> there any limitation in Jupyter that it cannot handle more than certain GB
>> data or query more than certain million or billion rows from post gre SQL DB
>> ?
>>
>> Its strange because when I do run the SQL script from SQL work bench locally
>> on my machine(which is less powerful than the server on which jupyter is
>> running), I do get the resulting rows.
>>
>> On Mon, Nov 20, 2017 at 3:35 AM, Thomas Kluyver <[email protected]> wrote:
>>>
>>> On 19 November 2017 at 22:28, Karthik Ram <[email protected]> wrote:
>>>>
>>>> I also changed the following in jupyterhub_config.py file. But still
>>>> seeing the issue.
>>>>
>>>> ...
>>>>
>>>> #c.Spawner.mem_guarantee = 8G
>>>>
>>>
>>> You'll need to uncomment these lines for them to affect anything, i.e.
>>> remove the # from the beginning. It also probably needs to be a string - put
>>> "8G" inside quotation marks.
>>>
>>> Thomas
>>>
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>>
>>
>>
>>
>> --
>> "In the depth of winter, I finally learned that within me there lay an
>> invincible summer"
>>
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>
>
> --
> Brian E. Granger
> Associate Professor of Physics and Data Science
> Cal Poly State University, San Luis Obispo
> @ellisonbg on Twitter and GitHub
> [email protected] and [email protected]



-- 
Brian E. Granger
Associate Professor of Physics and Data Science
Cal Poly State University, San Luis Obispo
@ellisonbg on Twitter and GitHub
[email protected] and [email protected]

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