1.建表
/*
navicat premium data transfer
source server : localhost
source server type : postgresql
source server version : 110012
source host : localhost:5432
source catalog : postgres
source schema : public
target server type : postgresql
target server version : 110012
file encoding : 65001
date: 30/07/2021 10:10:04
*/
-- ----------------------------
-- table structure for test
-- ----------------------------
drop table if exists "public"."test";
create table "public"."test" (
"id" int4 not null default null,
"name" varchar(255) collate "pg_catalog"."default" default null,
"age" int4 default null
)
;
-- ----------------------------
-- records of test
-- ----------------------------
insert into "public"."test" values (1, 'da', 1);
insert into "public"."test" values (2, 'da', 12);
insert into "public"."test" values (3, 'dd', 80);
insert into "public"."test" values (4, 'dd', 80);
insert into "public"."test" values (5, 'd1', 13);
-- ----------------------------
-- primary key structure for table test
-- ----------------------------
alter table "public"."test" add constraint "test_pkey" primary key ("id");
2.根据名称获取重复
先看看哪些数据重复了
select name ,count(1) from test group by name having count(1)>1
输出.
name count
da 2
dd 2
3.删除所有重复数据
注意把要更新的几列数据查询出来做为一个第三方表,然后筛选更新。
delete from test where name in (select t.name from (select name ,count(1) from test group by name having count(1)>1) t)
4.保留一行数据
这里展示我们需要保留的数据:重复数据,保留id最大那一条
select 1. from test where id not in ( ( select min( id ) as id from test group by name ) )
5.删除数据
delete from test where id not in ( select t.id from ( select max( id ) as id from test group by name ) t )
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