I have tried to split this string but unsuccessful because of the way the string is arranged in the column. The Null value keeps appearing on the Make and model column and the actually data goes to the wrong column
Sample data:
MakeModelColor |
---|
Apple - iphone 12 |
Apple - iphone 12 pro max - black -128gb |
Samsung - galaxy A12 |
This is the result I am looking for:
Make | Model |
---|---|
Apple | iphone 12 |
Apple | iphone 12 pro max |
Samsung | Galaxy A12 |
Actual result am looking for ]( https://i.stack.imgur.com/BvzYN.png )
Just another option using a bit of JSON
Example
Select Make = trim(JSON_VALUE(JS,'$[0]'))
,Model = trim(JSON_VALUE(JS,'$[1]'))
From YourTable A
Cross Apply (values ('["'+replace(string_escape([MakeModelColor],'json'),'-','","')+'"]') ) B(JS)
Results
Make Model
Apple iphone 12
Apple iphone 12 pro max
Samsung galaxy A12
That could be done in a number of ways. ie:
with data(makeModelColor, part, ordinal) as (
select makeModelColor, ltrim(rtrim(value)), ordinal
from devices
cross apply (select * from String_Split(devices.makeModelColor,'-',1)) t)
select makeModelColor,
max(case when ordinal = 1 then part end) as Make,
max(case when ordinal = 2 then part end) as Model,
max(case when ordinal = 3 then part end) as Color,
max(case when ordinal = 4 then part end) as Other
from data
group by makeModelColor;
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