要检索实际声明的数据类型，例如在动态SQL To ALTER COLUMNs中使用，可以使用这样的方法:

SELECT
    TABLE_NAME, 
    COLUMN_NAME,
    DATA_TYPE
        + CASE WHEN DATA_TYPE IN ('char','nchar','varchar','nvarchar','binary','varbinary')
                    AND CHARACTER_MAXIMUM_LENGTH > 0 THEN
                 COALESCE('('+CONVERT(varchar,CHARACTER_MAXIMUM_LENGTH)+')','')
            ELSE '' END
        + CASE WHEN DATA_TYPE IN ('decimal','numeric') THEN
                COALESCE('('+CONVERT(varchar,NUMERIC_PRECISION)+','+CONVERT(varchar,NUMERIC_SCALE)+')','')
            ELSE '' END
        AS Declaration_Type,
    CASE WHEN IS_NULLABLE='NO' THEN 'NOT ' ELSE '' END + 'NULL' AS Nullable
FROM INFORMATION_SCHEMA.COLUMNS
ORDER BY 1,2

使用MS SQL的另一个变体:

SELECT TYPE_NAME(system_type_id) 
FROM sys.columns 
WHERE name = 'column_name'
AND [object_id] = OBJECT_ID('[dbo].[table_name]');

如果有人觉得这个有用的话。在SQL Server中:

      sp_columns 'yourtablename'

这将给出所有列的详细信息。它提供了column_name、data_type、type_name、precision、length、iss_nullable等。

SHOW COLUMNS FROM //table_name// ;

它将为您提供关于表中所有列的信息。

对于Spark SQL:

DESCRIBE [db_name.]table_name column_name

使用SQL Server:

SELECT DATA_TYPE 
FROM INFORMATION_SCHEMA.COLUMNS
WHERE 
     TABLE_SCHEMA = 'yourSchemaName' AND
     TABLE_NAME   = 'yourTableName' AND 
     COLUMN_NAME  = 'yourColumnName'