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sql-query
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-Currently the feature supports csv files only. However, integrating more dataframes is easy. Go through the get_dataframe() method in data_utils.py and include support to detect the incoming file and parse the dataframe from it.
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Feature request:
Select builders are often used in sub query with aliases.
It would be a nice syntax addition if instead of using an object we could output the builder with a alias directly thanks to an as
method
//currently
sh.select().from({
as:'foo',
value:sh.select().from('users').where('age','>',42).noop()
});
could be written:
sh.sele
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