SlideShare a Scribd company logo
1 of 27
1027 predictive
models in 10 seconds
Who?
●
●
●
●
●
The problem
●
●
●
●
●
●
●
The easy part.
●
●
●
●
●
The easy part. Weka
250 million records? You can solve that
with a few indexes
When you’ve got a hammer...
copy sales ("id","time","country"...) from 'd:tmpdata.csv' DELIMITER ',' CSV HEADER;
We’ve got RAM, let’s put it to use
●
●
●
●
● ...
● ¯_(ツ)_/¯
clickwhat?
deb http://repo.yandex.ru/clickhouse/deb/stable/main/
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv E0C56BD4
sudo apt-get update
sudo apt-get install clickhouse-client clickhouse-server
Importing CSV data
2:37.82s elapsed
You had my curiosity
Now you have my attention
What?
0.328s
Out of the box
One node. No configuration
How many models?
Way too many. Let’s reduce it a bit
So, 1027 queries:
Good enough. We can work it out!
●
●
●
●
●
It’s alive!
Thank you?
1027*713 = 732.251 rows
●
The full query
One million rows
The results:
The results:
Conclusions
●
●
●
●
Thank you!

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