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Posted to user@spark.apache.org by amit kumar singh <am...@gmail.com> on 2018/04/20 03:08:46 UTC
How to bulk insert using spark streaming job
How to bulk insert using spark streaming job
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Re: How to bulk insert using spark streaming job
Posted by scorpio <sa...@gmail.com>.
You need to insert per partition per batch. Normally database drivers meant
for spark have bulk update feature built in. They take a RDD and do a bulk
insert per partition.
In case db driver you are using doesn't provide this feature, you can
aggregate records per partition and then send out to db by writing your own
code.
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Re: How to bulk insert using spark streaming job
Posted by ayan guha <gu...@gmail.com>.
by writing code, I suppose :) Jokes apart, I think you need to articulate
the problem with more details for others to help.
Do you mean you want to batch up data in memory and then write as a chunk?
Where do want to insert? Etc etc...
On Fri, Apr 20, 2018 at 1:08 PM, amit kumar singh <am...@gmail.com>
wrote:
> How to bulk insert using spark streaming job
>
> Sent from my iPhone
>
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Best Regards,
Ayan Guha