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davlee1972 avatar davlee1972 commented on June 15, 2024

To be more specific.. Can we build this directly into exp.where()

p.select().where(exp.or_(p.args['expressions'][0].eq("John"), p.args['expressions'][0].eq("Susan"))).sql()

vs

p.select().where(_sql_filters_to_expression(filters=[[('first_name', '==', 'John')], [('first_name', '==', 'Susan')]], parsed_columns = p)).sql()

vs.

p.select().where([[('first_name', '==', 'John')], [('first_name', '==', 'Susan')]]).sql()

The last option allows filters to be read in from a json or yaml config file..

filters = [[('first_name', '==', 'John')], [('first_name', '==', 'Susan')]]
p.select().where(filters).sql()

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georgesittas avatar georgesittas commented on June 15, 2024

Hey @davlee1972, this is already supported in sqlglot. Check out the normalize rule https://github.com/tobymao/sqlglot/blob/main/sqlglot/optimizer/normalize.py

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davlee1972 avatar davlee1972 commented on June 15, 2024

Can you verify that operators are supported? I only see DNF ANDs ORs.

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georgesittas avatar georgesittas commented on June 15, 2024

Apologies, I misread this issue earlier. Reopening this for now, but I will take a closer look tomorrow - cc @tobymao.

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tobymao avatar tobymao commented on June 15, 2024

i don't think so, it makes sense to me to just write this yourself

this seems like a reasonable solution

p.select().where(exp.or_(p.args['expressions'][0].eq("John"), p.args['expressions'][0].eq("Susan"))).sql()

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davlee1972 avatar davlee1972 commented on June 15, 2024

The original req included the ability to parameterize conditions..

If I had a json file or api call that could pass a filter that sqlglot understands..

{"filters": [[{"condition": ["first_name", "==", "John"]}}], [{"condition": ["first_name", "==", "Susan"]}]]}

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tobymao avatar tobymao commented on June 15, 2024

right, i believe this is a better fit in your code, not sqlglot core

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