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I tried to filter a column based on a list
I used List.Contains() but it is very slow
= Table.SelectRows(Medidas, each (List.Contains(Resta,[Cliente])=true ))
Please your help with a faster List.Contains because after this step I need to collapse that column
Thanks
= Table.SelectRows(Medidas, each List.Contains(List.Buffer(Resta),[Cliente]))
--Nate
@Anonymous I would List.Distinct(Resta) before buffering and buffer outside of Table.SelectRows. My tests show that List.Contains works even faster than List.PositionOf on the same data.
But the fastest one is to create a record with unique Resta data as field names and "true" as value then
Table.SelectRows(values, each Record.FieldOrDefault(resta_record, Text.From([Cliente]), false))
Definitely use List.Buffer, as in each List.Contains(List.Buffer(LookupList), [Column])
ALWAYS use List.Buffer in your List.Contains!
--Nate
I use List.Buffer and it works but after when I collapse that column, very slow again.
@jhsimb we don't see what is Resta. If it's a result of some transformation/calculation then try to List.Buffer it beforehand. I would also give a try to List.PositionOf alternative with Occurrence.First like this:
= Table.SelectRows(Medidas, each List.PositionOf(Resta_buffered, [Cliente], Occurrence.First) <> -1 ) where Resta_buffered = List.Buffer(Resta) outside of your expression.
Rest is a table. A table that was transformed in a list using Convert to List.
How do I use List.Buffer in this case?
Thanks
Hi,
use Table.NestedJoin with JoinKind.Inner
= Table.NestedJoin(Medidas, {"Cliente"}, Table.FromColumns({Resta},{"Resta"}), {"Resta"}, "JoinColumn", JoinKind.Inner)
then remove column "JoinColumn"
Stéphane
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