1
0

Compare commits

...

3 Commits

Author SHA1 Message Date
7b1465fc4e PostgreSQL 窗口函数 2025-11-05 03:52:35 +08:00
aa2318b5ea PostgreSQL time 2025-11-05 03:52:35 +08:00
1b849b8fa1 PostgreSQL common 2025-11-05 03:52:35 +08:00
3 changed files with 65 additions and 0 deletions

View File

@@ -21,3 +21,36 @@ ALTER DATABASE fortern REFRESH COLLATION VERSION;
REINDEX DATABASE kt_shop; REINDEX DATABASE kt_shop;
ALTER DATABASE kt_shop REFRESH COLLATION VERSION; ALTER DATABASE kt_shop REFRESH COLLATION VERSION;
-- 重置某表的某列的自增序列 [表名]_[列名]_seq
ALTER SEQUENCE person_id_seq RESTART WITH 4284858;
-- ctid 会返回一个元组,元组中第一个数字是 page number, 第二个是 slot number。
select r.ctid, r.* from study.r;
-- 得到
-- "(0,1)",1,101
-- "(0,2)",2,102
-- "(0,3)",3,103
-- 删除一条
delete from study.r where id = 2;
-- 再重新查询,得到
-- "(0,1)",1,101
-- "(0,3)",3,103
-- PostgreSQL 会保留空槽
-- 插入新数据
insert into study.r values (104, 4);
-- 再重新查询,得到
-- "(0,1)",1,101
-- "(0,3)",3,103
-- "(0,4)",4,104
-- 可以看到使用了末尾的新槽位,而不是使用中间的新槽位
-- 执行清理
vacuum full study.r;
-- 再次扫面,得到
-- "(0,1)",1,101
-- "(0,2)",3,103
-- "(0,3)",4,104
-- 看到空间已经回收

10
PostgreSQL/time.sql Normal file
View File

@@ -0,0 +1,10 @@
-- 设置会话时区
SET TIME ZONE 'Asia/Shanghai';
-- AT TIME ZONE 在 PostgreSQL 中是重载的,行为取决于左侧的类型:
-- timestamp WITHOUT time zone AT TIME ZONE zone → 把该 wall time 视为 zone 的本地时间,然后转换为 UTC结果为 timestamptz显示为 UTC 偏移后的时间)。
-- timestamptz AT TIME ZONE zone → 把该瞬间转换成 zone 的本地 wall time结果为 timestamp WITHOUT time zone。
select msg_time at time zone 'Asia/Shanghai' from msg where id = 1;
select msg_time at time zone 'UTC+8' from msg where id = 1;
select to_timestamp(1761850339) AT TIME ZONE 'Asia/Shanghai';

View File

@@ -0,0 +1,22 @@
-- 窗口函数
-- row_number(): 对相等的值【不区分】相当于行号相等的值对应的排名不同序号从1到n连续
-- rank(): 相等的值排名相同但若有相等的值则序号从1到n不连续。符合一般人思维中的排名
-- dense_rank(): 对相等的值排名相同但序号从1到n连续
-- 先按num分区每个区内按id排序
select id, num, id - row_number() over (partition by num order by id) as rnk
from employee;
-- 找出所有至少连续出现三次的数字
-- 先按num分区每个区内按id排序
-- 一个分区内如果数字连续那么id会不断+1row_number()也会不断+1id - row_number()差值不变
-- 在按照id - row_number()聚合使用count(*)统计count(*)的结果就是连续出现的次数
select r.num, r.rnk, count(*)
from (select num, id - row_number() over (partition by num order by id) as rnk from employee) as r
group by r.num, r.rnk;
select distinct r.num as ConsecutiveNums
from (select num, id - row_number() over (partition by num order by id) as rnk from employee) as r
group by r.num, r.rnk
having count(*) >= 3
limit 1;