t performance?
>>>>>
>>>>> On Sun, May 22, 2016 at 12:18 PM, Mich Talebzadeh <
>>>>> mich.talebza...@gmail.com> wrote:
>>>>>
>>>>>> the acid question is how many rows are you going to insert in a batch
>>>>>>
CCdOABUrV8Pw>*
>>>>>
>>>>>
>>>>>
>>>>> http://talebzadehmich.wordpress.com
>>>>>
>>>>>
>>>>>
>>>
gt;>>>
>>>>
>>>> On 22 May 2016 at 20:14, Jörn Franke wrote:
>>>>
>>>>> 14000 partitions seem to be way too many to be performant (except for
>>>>> large data sets). How much data does one partition contain?
>>>&g
ch data does one partition contain?
>>>>
>>>> > On 22 May 2016, at 09:34, SRK wrote:
>>>> >
>>>> > Hi,
>>>> >
>>>> > In my Spark SQL query to insert data, I have around 14,000 partitions
>>>
one partition contain?
>>>
>>> > On 22 May 2016, at 09:34, SRK wrote:
>>> >
>>> > Hi,
>>> >
>>> > In my Spark SQL query to insert data, I have around 14,000 partitions
>>> of
>>> > data which seems to be causin
ues. How can I insert the data
>> for
>> > 100 partitions at a time to avoid any memory issues?
>> >
>> >
>> >
>> > --
>> > View this message in context:
>
; for
> > 100 partitions at a time to avoid any memory issues?
> >
> >
> >
> > --
> > View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-insert-data-for-100-partitions-at-a-time-using-Spark
be causing memory issues. How can I insert the data for
> 100 partitions at a time to avoid any memory issues?
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-insert-data-for-100-partitions-at-a-time-using-Spark-
016 at 08:34, SRK wrote:
>>
>>> Hi,
>>>
>>> In my Spark SQL query to insert data, I have around 14,000 partitions of
>>> data which seems to be causing memory issues. How can I insert the data
>>> for
>>> 100 partiti
>>>>>
>>>>>
>>>>>
>>>>> LinkedIn *
>>>>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>> <https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOA
;>
>>>>
>>>> LinkedIn *
>>>> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>> <https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>
>>>>
>>>
gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> <https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>
>>>
>>>
>>> http://talebzadehmich.wordpress.com
>>>
>>>
>>>
>>> On 22 May 2016 at 08:34, SRK
; In my Spark SQL query to insert data, I have around 14,000 partitions of
>>> data which seems to be causing memory issues. How can I insert the data
>>> for
>>> 100 partitions at a time to avoid any memory issues?
>>>
>>>
>>>
>>> -
be causing memory issues. How can I insert the data
>> for
>> 100 partitions at a time to avoid any memory issues?
>>
>>
>>
>> --
>> View this message in context:
>> http:
t;
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-insert-data-for-100-partitions-at-a-time-using-Spark-SQL-tp26997.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> --
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