如何在表的预定义范围内查找名称相似但数据类型不同的列?
背景:用于验证项目中的列元数据。
例如:3个表中使用了deal_id列。
我想确保Deal_id元数据在所有地方都是相同的。
为了避免遵循:
请尝试这个:
;with
t1 as -- get tables with the same column names
( select *
, count(*) over(partition by column_name) clm_cnt
from information_schema.columns
where TABLE_NAME in ***specify scope of your tables here, otherwise it will look within entire DB***
),
t2 as -- get flags - if amount of distinct types/lengths/etc are >1
( select *
,cast(clm_cnt - count(*) over(partition by column_name,IS_NULLABLE ) as bit) is_diff_IS_NULLABLE
,cast(clm_cnt - count(*) over(partition by column_name,DATA_TYPE ) as bit) is_diff_DATA_TYPE
,cast(clm_cnt - count(*) over(partition by column_name,CHARACTER_MAXIMUM_LENGTH) as bit) is_diff_CHARACTER_MAXIMUM_LENGTH
,cast(clm_cnt - count(*) over(partition by column_name,CHARACTER_OCTET_LENGTH ) as bit) is_diff_CHARACTER_OCTET_LENGTH
,cast(clm_cnt - count(*) over(partition by column_name,NUMERIC_PRECISION ) as bit) is_diff_NUMERIC_PRECISION
,cast(clm_cnt - count(*) over(partition by column_name,NUMERIC_PRECISION_RADIX ) as bit) is_diff_NUMERIC_PRECISION_RADIX
,cast(clm_cnt - count(*) over(partition by column_name,NUMERIC_SCALE ) as bit) is_diff_NUMERIC_SCALE
,cast(clm_cnt - count(*) over(partition by column_name,DATETIME_PRECISION ) as bit) is_diff_DATETIME_PRECISION
,cast(clm_cnt - count(*) over(partition by column_name,COLLATION_NAME ) as bit) is_diff_COLLATION_NAME
from t1
where clm_cnt>1
)
select *
from t2
where 1=1
and
( is_diff_IS_NULLABLE
| is_diff_DATA_TYPE
| is_diff_CHARACTER_MAXIMUM_LENGTH
| is_diff_CHARACTER_OCTET_LENGTH
| is_diff_NUMERIC_PRECISION
| is_diff_NUMERIC_PRECISION_RADIX
| is_diff_NUMERIC_SCALE
| is_diff_DATETIME_PRECISION
| is_diff_COLLATION_NAME
)>0
您可以通过在information_schema.column
上进行查询来获得具有差异的列名称。对于您突出显示的属性:
select column_name
from information_schema.columns c
group by column_name
having min(data_type) <> max(data_type) or
coalesce(min(CHARACTER_MAXIMUM_LENGTH), -1) <> coalesce(max(CHARACTER_MAXIMUM_LENGTH), -1) or
coalesce(min(NUMERIC_PRECISION), -1) <> coalesce(max(NUMERIC_PRECISION), -1) or
coalesce(min(NUMERIC_PRECISION_RADIX), -1) <> coalesce(max(NUMERIC_PRECISION_RADIX), -1) or
coalesce(min(NUMERIC_SCALE), -1) <> coalesce(max(NUMERIC_SCALE), -1) or
coalesce(min(DATETIME_PRECISION), -1) <> coalesce(max(DATETIME_PRECISION), -1) ;