超过5300个重复行:
"id","latitude","longitude","country","region","city"
"2143220","41.3513889","68.9444444","KZ","10","Abay"
"2143218","40.8991667","68.5433333","KZ","10","Abay"
"1919381","33.8166667","49.6333333","IR","34","Ab Barik"
"1919377","35.6833333","50.1833333","IR","19","Ab Barik"
"1919432","29.55","55.5122222","IR","29","`Abbasabad"
"1919430","27.4263889","57.5725","IR","29","`Abbasabad"
"1919413","28.0011111","58.9005556","IR","12","`Abbasabad"
"1919435","36.5641667","61.14","IR","30","`Abbasabad"
"1919433","31.8988889","58.9211111","IR","30","`Abbasabad"
"1919422","33.8666667","48.3","IR","23","`Abbasabad"
"1919420","33.4658333","49.6219444","IR","23","`Abbasabad"
"1919438","33.5333333","49.9833333","IR","34","`Abbasabad"
"1919423","33.7619444","49.0747222","IR","24","`Abbasabad"
"1919419","34.2833333","49.2333333","IR","19","`Abbasabad"
"1919439","35.8833333","52.15","IR","35","`Abbasabad"
"1919417","35.9333333","52.95","IR","17","`Abbasabad"
"1919427","35.7341667","51.4377778","IR","26","`Abbasabad"
"1919425","35.1386111","51.6283333","IR","26","`Abbasabad"
"1919713","30.3705556","56.07","IR","29","`Abdolabad"
"1919711","27.9833333","57.7244444","IR","29","`Abdolabad"
"1919716","35.6025","59.2322222","IR","30","`Abdolabad"
"1919714","34.2197222","56.5447222","IR","30","`Abdolabad"
其他详情:
有些值是明显重复的(“Abay”因为区域匹配而且“Ab Barik”因为这两个位置非常接近),其他值不是那么明显(甚至可能不是实际的重复):
"1919430","27.4263889","57.5725","IR","29","`Abbasabad"
"1919435","36.5641667","61.14","IR","30","`Abbasabad"
目标是消除所有重复项。
给出一个值表,例如上面的CSV数据:
半工作示例代码,用于在同一国家/地区内选择重复的城市名称(距离不到10公里):
select
c1.country, c1.name, c1.region_id, c2.region_id, c1.latitude_decimal, c1.longitude_decimal, c2.latitude_decimal, c2.longitude_decimal
from
climate.maxmind_city c1,
climate.maxmind_city c2
where
c1.country = 'BE' and
c1.id <> c2.id and
c1.country = c2.country and
c1.name = c2.name and
(c1.latitude_decimal <> c2.latitude_decimal or c1.longitude_decimal <> c2.longitude_decimal) and
earth_distance(
ll_to_earth( c1.latitude_decimal, c1.longitude_decimal ),
ll_to_earth( c2.latitude_decimal, c2.longitude_decimal ) ) <= 10
order by
country, name
两阶段方法:
谢谢!
答案 0 :(得分:1)
查找重复项很简单:
select
max(id) as this_should_stay,
latitude,
longitude,
country,
region,
city
FROM
your_table
group by
latitude,
longitude,
country,
region,
city
having count(*) > 1;
添加代码以基于此删除重复项很简单:
delete from your_table where id not in (
select
max(id) as this_should_stay
FROM
your_table
group by
latitude,
longitude,
country,
region,
city
)
注意删除查询中没有。
答案 1 :(得分:1)
这将删除位于同一国家/地区同名城市附近的第二个城市:
delete from climate.maxmind_city mc where id in (
select
max(c1.id)
from
climate.maxmind_city c1,
climate.maxmind_city c2
where
c1.id <> c2.id and
c1.country = c2.country and
c1.name = c2.name and
earth_distance(
ll_to_earth( c1.latitude_decimal, c1.longitude_decimal ),
ll_to_earth( c2.latitude_decimal, c2.longitude_decimal ) ) <= 35
group by
c1.country, c1.name
order by
c1.country, c1.name
)
答案 2 :(得分:0)
如果您的数据已通过CSV文件和代码(PHP)导入,那么您可以使用PHP代码中的put条件防止重复输入。如果你插入的城市已经存在,那么make循环继续下一条记录并跳过当前记录。
如果您按照这种方式导入数据库中的数据,请尝试此操作。
感谢。