原始表数据如下:
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- t_girl=# select * from score;
- name | subject | score
- -------+---------+-------
- Lucy | English | 100
- Lucy | Physics | 90
- Lucy | Math | 85
- Lily | English | 95
- Lily | Physics | 81
- Lily | Math | 84
- David | English | 100
- David | Physics | 86
- David | Math | 89
- Simon | English | 90
- Simon | Physics | 76
- Simon | Math | 79
- (12 rows)
- Time: 2.066 ms
想要实现以下的结果:
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- name | English | Physics | Math
- -------+---------+---------+------
- Simon | 90 | 76 | 79
- Lucy | 100 | 90 | 85
- Lily | 95 | 81 | 84
- David | 100 | 86 | 89
大致有以下几种方法:
1、用标准SQL展现出来
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- t_girl=# select name,
- t_girl-# sum(case when subject = 'English' then score else 0 end) as "English",
- t_girl-# sum(case when subject = 'Physics' then score else 0 end) as "Physics",
- t_girl-# sum(case when subject = 'Math' then score else 0 end) as "Math"
- t_girl-# from score
- t_girl-# group by name order by name desc;
- name | English | Physics | Math
- -------+---------+---------+------
- Simon | 90 | 76 | 79
- Lucy | 100 | 90 | 85
- Lily | 95 | 81 | 84
- David | 100 | 86 | 89
- (4 rows)
- Time: 1.123 ms
2、用PostgreSQL 提供的第三方扩展 tablefunc 带来的函数实现
以下函数crosstab 里面的SQL必须有三个字段,name, 分类以及分类值来作为起始参数,必须以name,分类值作为输出参数。
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- t_girl=# SELECT *
- FROM crosstab('select name,subject,score from score order by name desc',$$values ('English'::text),('Physics'::text),('Math'::text)$$)
- AS score(name text, English int, Physics int, Math int);
- name | english | physics | math
- -------+---------+---------+------
- Simon | 90 | 76 | 79
- Lucy | 100 | 90 | 85
- Lily | 95 | 81 | 84
- David | 100 | 86 | 89
- (4 rows)
- Time: 2.059 ms
3、用PostgreSQL 自身的聚合函数实现
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- t_girl=# select name,split_part(split_part(tmp,',',1),':',2) as "English",
- t_girl-# split_part(split_part(tmp,',',2),':',2) as "Physics",
- t_girl-# split_part(split_part(tmp,',',3),':',2) as "Math"
- t_girl-# from
- t_girl-# (
- t_girl(# select name,string_agg(subject||':'||score,',') as tmp from score group by name order by name desc
- t_girl(# ) as T;
- name | English | Physics | Math
- -------+---------+---------+------
- Simon | 90 | 76 | 79
- Lucy | 100 | 90 | 85
- Lily | 95 | 81 | 84
- David | 100 | 86 | 89
- (4 rows)
- Time: 2.396 ms
4、 存储函数实现
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- create or replace function func_ytt_crosstab_py ()
- returns setof ytt_crosstab
- as
- $ytt$
- for row in plpy.cursor("select name,string_agg(subject||':'||score,',') as tmp from score group by name order by name desc"):
- a = row['tmp'].split(',')
- yield (row['name'],a[0].split(':')[1],a[1].split(':')[1],a[2].split(':')[1])
- $ytt$ language plpythonu;
- t_girl=# select name,english,physics,math from func_ytt_crosstab_py();
- name | english | physics | math
- -------+---------+---------+------
- Simon | 90 | 76 | 79
- Lucy | 100 | 90 | 85
- Lily | 95 | 81 | 84
- David | 100 | 86 | 89
- (4 rows)
- Time: 2.687 ms
5、 用PLPGSQL来实现
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- t_girl=# create type ytt_crosstab as (name text, English text, Physics text, Math text);
- CREATE TYPE
- Time: 22.518 ms
- create or replace function func_ytt_crosstab ()
- returns setof ytt_crosstab
- as
- $ytt$
- declare v_name text := '';
- v_english text := '';
- v_physics text := '';
- v_math text := '';
- v_tmp_result text := '';
- declare cs1 cursor for select name,string_agg(subject||':'||score,',') from score group by name order by name desc;
- begin
- open cs1;
- loop
- fetch cs1 into v_name,v_tmp_result;
- exit when not found;
- v_english = split_part(split_part(v_tmp_result,',',1),':',2);
- v_physics = split_part(split_part(v_tmp_result,',',2),':',2);
- v_math = split_part(split_part(v_tmp_result,',',3),':',2);
- return query select v_name,v_english,v_physics,v_math;
- end loop;
- end;
- $ytt$ language plpgsql;
- t_girl=# select name,English,Physics,Math from func_ytt_crosstab();
- name | english | physics | math
- -------+---------+---------+------
- Simon | 90 | 76 | 79
- Lucy | 100 | 90 | 85
- Lily | 95 | 81 | 84
- David | 100 | 86 | 89
- (4 rows)
- Time: 2.127 ms