Some months back I wrote about some important performance gotchas pertaining to using SugarCRM on Microsoft SQL Server (MS-SQL). More recently I had a need to analyze a system to uncover the source of similar issues.
While doing so, I came up with an SQL query that helped me quickly view all the column names and their definitions, simplifying the process of identifying potentially problematic entries.
I share this query below in hopes it will help you at some point:
select c.name, t.name, ta.name, c.max_length, c.precision, c.scale, c.collation_name
from sys.columns c
join sys.types t
on c.user_type_id = t.user_type_id
join sys.tables ta
on c.object_id = ta.object_id
Note that with some minor modifications you can get the query to list out the columns of a specific data type.