你可以很容易地从这个代码中删除重复的记录。

$qry = mysql_query("SELECT * from cities");
while($qry_row = mysql_fetch_array($qry))
{
$qry2 = mysql_query("SELECT * from cities2 where city = '".$qry_row['city']."'");

if(mysql_num_rows($qry2) > 1){
    while($row = mysql_fetch_array($qry2)){
        $city_arry[] = $row;

        }

    $total = sizeof($city_arry) - 1;
        for($i=1; $i<=$total; $i++){


            mysql_query( "delete from cities2 where town_id = '".$city_arry[$i][0]."'");

            }
    }
    //exit;
}

更快的方法是在临时表中插入不同的行。使用delete，我花了几个小时从一个800万行的表中删除重复项。使用insert和distinct，只花了13分钟。

CREATE TABLE tempTableName LIKE tableName;  
CREATE INDEX ix_all_id ON tableName(cellId,attributeId,entityRowId,value);  
INSERT INTO tempTableName(cellId,attributeId,entityRowId,value) SELECT DISTINCT cellId,attributeId,entityRowId,value FROM tableName;  
TRUNCATE TABLE tableName;
INSERT INTO tableName SELECT * FROM tempTableName; 
DROP TABLE tempTableName;  

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
)

我有一个忘记在id行添加主键的表。虽然它在id上有auto_increment。但是有一天，一个东西在数据库中重放了mysql bin日志，插入了一些重复的行。

我删除重复的行

选择唯一的重复行并导出它们 选择T1。(select count(*) as c,id from table_name group by id) T2 on T1。id = T2。T2.c > 1 group by T1.id; 按id删除重复的行 从导出的数据中插入该行。 然后在id上添加主键

下面是我用过的方法，它很有效:

create table temp_table like my_table;

T_id是唯一的列

insert into temp_table (id) select id from my_table GROUP by t_id;
delete from my_table where id not in (select id from temp_table);
drop table temp_table;

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