我有一个表与以下字段:

id (Unique)
url (Unique)
title
company
site_id

现在,我需要删除具有相同标题、company和site_id的行。一种方法是使用下面的SQL和脚本(PHP):

SELECT title, site_id, location, id, count( * ) 
FROM jobs
GROUP BY site_id, company, title, location
HAVING count( * ) >1

运行此查询后,可以使用服务器端脚本删除重复项。

但是,我想知道这是否只能使用SQL查询。


当前回答

我想更具体地说明我删除了哪些记录,下面是我的解决方案:

delete
from jobs c1
where not c1.location = 'Paris'
and  c1.site_id > 64218
and exists 
(  
select * from jobs c2 
where c2.site_id = c1.site_id
and   c2.company = c1.company
and   c2.location = c1.location
and   c2.title = c1.title
and   c2.site_id > 63412
and   c2.site_id < 64219
)

其他回答

这将删除标题、公司和网站值相同的重复行。最后一个重复项将被保留,其余重复项将被删除(如果你想保留第一个重复项并删除其他重复项,将id的比较项更改为大于t1。Id > t2.id)

DELETE t1 FROM tablename t1
INNER JOIN tablename t2 
WHERE 
    t1.id < t2.id AND
    t1.title = t2.title AND
    t1.company=t2.company AND
    t1.site_ID=t2.site_ID;

简单和快速的所有情况:

CREATE TEMPORARY TABLE IF NOT EXISTS _temp_duplicates AS (SELECT dub.id FROM table_with_duplications dub GROUP BY dub.field_must_be_uniq_1, dub.field_must_be_uniq_2 HAVING COUNT(*)  > 1);

DELETE FROM table_with_duplications WHERE id IN (SELECT id FROM _temp_duplicates);

如果不想更改列属性,那么可以使用下面的查询。

因为你有一个列,它有唯一的id(例如,auto_increment列),你可以用它来删除重复项:

DELETE `a`
FROM
    `jobs` AS `a`,
    `jobs` AS `b`
WHERE
    -- IMPORTANT: Ensures one version remains
    -- Change "ID" to your unique column's name
    `a`.`ID` < `b`.`ID`

    -- Any duplicates you want to check for
    AND (`a`.`title` = `b`.`title` OR `a`.`title` IS NULL AND `b`.`title` IS NULL)
    AND (`a`.`company` = `b`.`company` OR `a`.`company` IS NULL AND `b`.`company` IS NULL)
    AND (`a`.`site_id` = `b`.`site_id` OR `a`.`site_id` IS NULL AND `b`.`site_id` IS NULL);

在MySQL中,你可以用空安全的相等操作符(又名“宇宙飞船操作符”)来简化它:

DELETE `a`
FROM
    `jobs` AS `a`,
    `jobs` AS `b`
WHERE
    -- IMPORTANT: Ensures one version remains
    -- Change "ID" to your unique column's name
    `a`.`ID` < `b`.`ID`

    -- Any duplicates you want to check for
    AND `a`.`title` <=> `b`.`title`
    AND `a`.`company` <=> `b`.`company`
    AND `a`.`site_id` <=> `b`.`site_id`;

这个解决方案将把重复的数据移到一个表中,唯一的数据移到另一个表中。

-- speed up creating uniques table if dealing with many rows
CREATE INDEX temp_idx ON jobs(site_id, company, title, location);

-- create the table with unique rows
INSERT jobs_uniques SELECT * FROM
    (
    SELECT * 
    FROM jobs
    GROUP BY site_id, company, title, location
    HAVING count(1) > 1
    UNION
    SELECT *
    FROM jobs
    GROUP BY site_id, company, title, location
    HAVING count(1) = 1
) x

-- create the table with duplicate rows
INSERT jobs_dupes 
SELECT * 
FROM jobs
WHERE id NOT IN
(SELECT id FROM jobs_uniques)

-- confirm the difference between uniques and dupes tables
SELECT COUNT(1)
AS jobs, 
(SELECT COUNT(1) FROM jobs_dupes) + (SELECT COUNT(1) FROM jobs_uniques)
AS sum
FROM jobs

我找到了一个简单的方法。(保持最新的)

DELETE t1 FROM table_name t1 INNER JOIN table_name t2 
WHERE t1.primary_id < t2.primary_id 
AND t1.check_duplicate_col_1 = t2.check_duplicate_col_1 
AND t1.check_duplicate_col_2 = t2.check_duplicate_col_2
...