spark framework: https://gist.
> github.com/nemosupremo/d098ef4def28ebf96c14d8f87aecd133 which also just
> repeats 'Transport endpoint is not connected' over and over.
>
> Thanks for any insights
>
>
>
--
Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
e computer nodes such that each node will have only one
>>> GPU. Of course, I realize that many Databricks customers are using Azure or
>>> AWS, which allow you to do this facilely. Is this what people normally do
>>> in industry?
>>>
>>> This is something I a
k applications are not
>>>> the only one that run on the cluster. I guess that Spark starts executors
>>>> on the available offers even if it does not satisfy our needs. Is there any
>>>> configuration that we can use in order to prevent Spark from starting when
>>>> there are no resource offers for the total number of executors?
>>>>
>>>> Thank you
>>>> - Thodoris
>>>>
>>>> -
>>>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>>>>
>>>>
>>
--
Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
new
>> port. Also, Spark automatically checks port from 4040 to 4056, post that it
>> fails. One of the workaround, is to provide port explicitly.
>>
>> Is there a way to tackle this situation? or Am I missing any thing?
>>
>> Thanking you in advance.
>>
>> Regards,
>> Dhaval Modi
>> dhavalmod...@gmail.com
>>
>
--
Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
Spark 2.3.0? Creative ideas are welcome :)
>
> Best,
> Han
>
>
>
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Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
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Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
lly number of instances config)
>
> So any production ops advices will be welcome
> Igor
>
>
>
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Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
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>>>
>>
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Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com
