Sql statement to get column type
Locate a column's data type in SQL with this simple snippet:
Replace MyTable
and MyColumn
with your specific table and column names. This code returns the data type promptly. Works perfectly on SQL Server, MySQL, PostgreSQL.
Further inspection of your database schema
Dive deeper and unfold the nuances of your SQL schema. Go beyond just getting a column's data type, round out your understanding, and take control of your data!
It's all about the details
To see more than just the column data type, include these attribute-powerhouses:
Here, CHARACTER_MAXIMUM_LENGTH handles the size for character types, NUMERIC_PRECISION and NUMERIC_SCALE manage the digits for numerical types, and IS_NULLABLE shows if a column allows NULLs.
The art of SQL defaults and nuances
SQL Server always has a few tricks up its sleeve. For instance, nvarchar
without explicit size defaults to nvarchar(1)
—a codename for "I'm lonely." Similarly, float(n)
gets a new identity, real
when n
≤ 24 and float
otherwise.
The elaborate type descriptors
Use SQL's CASE construct to stitch together your column's full definition. Assemble a complete column profile that includes everything:
Inside SQL Server's toolbox
With SQL Server, you have many system catalogs and procedures at your disposal. Use them wisely:
The costume party of SQL types
SQL types across dialects have pseudonyms:
- PostgreSQL's
real
isfloat4
in disguise. - MySQL's
BOOL
masquerades asTINYINT(1)
.
The appropriate column data type
The CONTEXT of the table could affect the interpretation of the column data type. Money matters warrant exact numeric types such as DECIMAL
or NUMERIC
, whereas application logs might be fine with REAL
or DOUBLE PRECISION
.
Dealing with bumps on the road
Not everything goes according to plan. In case of turbulence:
- Mismatched data types during table joins or data imports could spill the coffee.
- Oversized string lengths could make your index overweight.
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