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How to get correct datatype names for numeric and date type values


How to get correct datatype names for numeric and date type values

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toravi.pentaho
toravi.pentaho
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Hi,

When i try the below sql.I'm getting proper result for Varchar datatype
field columns,BUT FOR NUMERIC AND DATE type coulmn im getting null in data_type column.Can you please check this,


SELECT column_name AS [Name],
IS_NULLABLE AS [Null?],
DATA_TYPE + '(' + CASE
WHEN Cast(CHARACTER_MAXIMUM_LENGTH AS VARCHAR(5)) = -1 THEN 'Max'
ELSE Cast(CHARACTER_MAXIMUM_LENGTH AS VARCHAR(5))
END + ')' AS [Type]
FROM INFORMATION_SCHEMA.Columns
WHERE table_name = 'EMP_TABLE'

Output coming as:
NAME Null? Type
id No NULL
CODE YES varchar(20)
date YES Null

Requiredoutput:

NAME Null? Type
id No numeric(38)
CODE YES varchar(20)
date YES date


Any one can please help me on this..

Regards
HanShi
HanShi
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Group: General Forum Members
Points: 4361 Visits: 3668
Because for INT and DECIMAL the value for CHARACTER_MAXIMUM_LENGTH is a NULL value. Adding a NULL value to a string will result in a NULL value.
Change the CASE statement to:
, DATA_TYPE
+ CASE
WHEN CHARACTER_MAXIMUM_LENGTH IS NULL
THEN ''
WHEN Cast(CHARACTER_MAXIMUM_LENGTH AS VARCHAR(5)) = - 1
THEN '(Max)'
ELSE '(' + Cast(CHARACTER_MAXIMUM_LENGTH AS VARCHAR(5)) + ')'
END AS [Type]



** Don't mistake the ‘stupidity of the crowd’ for the ‘wisdom of the group’! **
toravi.pentaho
toravi.pentaho
Forum Newbie
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Group: General Forum Members
Points: 3 Visits: 5
Hi,

I tried with this logic also,But this time it is showing datatype as numeric but it is not showing value(range.like numeric(38))Here we can refer numeric_precision to get that '38' as range value

DATA_TYPE
+ CASE
WHEN CHARACTER_MAXIMUM_LENGTH IS NULL
THEN ''
WHEN Cast(CHARACTER_MAXIMUM_LENGTH AS VARCHAR(5)) = - 1
THEN '(Max)'
ELSE '(' + Cast(CHARACTER_MAXIMUM_LENGTH AS VARCHAR(5)) + ')'
END AS [Type]
HanShi
HanShi
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Group: General Forum Members
Points: 4361 Visits: 3668
You can place this code as the first CASE statement:
WHEN DATA_TYPE = 'decimal' 
THEN '(' + Cast(NUMERIC_PRECISION AS VARCHAR(5)) + ',' + Cast(NUMERIC_SCALE AS VARCHAR(5)) + ')'




You can expand the CASE statement the same way for all other different datatypes...

** Don't mistake the ‘stupidity of the crowd’ for the ‘wisdom of the group’! **
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