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Add advanced functionality to handle processing of big datasets

Open iretex opened this issue 4 years ago • 5 comments

Adding pyspark module to be triggered in the event that the size of input dataset is bigger than 1mil rows. This capability should improve the runtime generally and give improved user experience.

iretex avatar Jul 14 '20 17:07 iretex

Hi @risenW i'll like to work on this please.

krisblarq avatar Jul 31 '20 19:07 krisblarq

Sure, please go ahead

risenW avatar Aug 01 '20 08:08 risenW

Krisblarq, do you want to start writing the test cases, how do you think we can collaborate? Rising, I imagine that you'll like to retain existing code structure, which could mean that the pyspark code will be maintained as a separate module? If we agree on the structure, the development can be accelerated.

Very Best!

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From: Rising Odegua [email protected] Sent: Saturday, August 1, 2020 9:24:56 AM To: risenW/datasist [email protected] Cc: Iretioluwa Olawuyi [email protected]; Author [email protected] Subject: Re: [risenW/datasist] Add advanced functionality to handle processing of big datasets (#55)

Sure, please go ahead

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iretex avatar Aug 01 '20 11:08 iretex

Yes @iretex the module should be separate. Then it can be called from other modules when we intend to use it. This should be invisible to the user as well.

risenW avatar Aug 01 '20 12:08 risenW

Very clear!


From: Rising Odegua [email protected] Sent: Saturday, August 1, 2020 1:31:56 PM To: risenW/datasist [email protected] Cc: Iretioluwa Olawuyi [email protected]; Mention [email protected] Subject: Re: [risenW/datasist] Add advanced functionality to handle processing of big datasets (#55)

Yes @iretexhttps://github.com/iretex the module should be separate. Then it can be called from other modules when we intend to use it. This should be invisible to the user as well.

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iretex avatar Aug 01 '20 12:08 iretex