1.建表
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | /* 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
1 | 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。
1 | 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
1 2 3 4 5 6 7 8 | SELECT 1. FROM test WHERE id NOT IN ( ( SELECT min ( id ) AS id FROM test GROUP BY name ) ) |
5.删除数据
1 2 3 4 5 6 7 8 9 10 | 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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