> -----Original Message-----
> From: Daevid Vincent [mailto:[email protected]]
> Sent: Monday, July 08, 2013 2:11 PM
> To: [email protected]
> Subject: Need query to determine different column definitions across
tables
>
> I'm noticing that across our several databases and hundreds of tables that
> column definitions are not consistent. I'm wondering if there is a tool or
> query (using INFORMATION_SCHEMA perhaps) that will show me all databases,
> tables and columns where they don't match (by column name).
>
> For example in one table `foo_id` might be UNSIGNED and in other's it is
> not. Or maybe it's INT(11) in some and INT(10) or worse MEDIUMINT in
others.
> Or extending further Charset/Collation might mismatch and be that stupid
> "latin1_swedish_ci" and fixed to be "utf8" in others.
>
> Stuff like that. I want to see everything where there is some difference.
Well, here's the query I'm using currently. Will post updates as I tweak it.
USE `information_schema`;
SELECT
t1.`COLUMN_NAME`,
t1.`TABLE_NAME`,
t1.`COLUMN_TYPE`,
-- CONCAT(t1.`TABLE_NAME`,'.',t1.`COLUMN_TYPE`) as t1_type,
t2.`TABLE_NAME`,
t2.`COLUMN_TYPE`
-- CONCAT(t2.`TABLE_NAME`,'.',t2.`COLUMN_TYPE`) AS t2_type
FROM
`COLUMNS` AS t1
LEFT JOIN `COLUMNS` AS t2
ON t1.`COLUMN_NAME` = t2.`COLUMN_NAME`
AND t1.`COLUMN_TYPE` <> t2.`COLUMN_TYPE`
WHERE t1.`TABLE_SCHEMA` = 'mydatabase'
AND t2.`TABLE_NAME` IS NOT NULL
-- HAVING t2_type IS NOT NULL
ORDER BY `COLUMN_NAME` ASC;
Having separate columns there is easier to read/compare than CONCAT() I
think.
Another bulk version that comes in handy:
SELECT `COLUMN_NAME`, `COLUMN_TYPE`, `TABLE_SCHEMA`,
`TABLE_NAME`, `CHARACTER_SET_NAME`, `COLLATION_NAME`
FROM `COLUMNS` WHERE `TABLE_SCHEMA` = ' mydatabase '
ORDER BY `COLUMN_NAME`;
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