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sql一年各月差异分析(SQL难点解决直观分组)

sql一年各月差异分析(SQL难点解决直观分组)where s.isofficial='T'from t left join world.countrylanguage s on t.name=s.languageunion all select 'English' 2union all select 'French' 3)select t.name count(countrycode) cnt

1、 对位分组

示例 1:按顺序分别列出使用 Chinese、English、French 作为官方语言的国家数量

MySQL8:

with t(name ord) as (select 'Chinese' 1

union all select 'English' 2

union all select 'French' 3)

select t.name count(countrycode) cnt

from t left join world.countrylanguage s on t.name=s.language

where s.isofficial='T'

group by name ord

order by ord;

注意:表的字符集和数据库会话的字符集要保持一致。

(1) show variables like 'character_set_connection'查看当前会话字符集

(2) show create table world.countrylanguage查看表的字符集

(3) set character_set_connection=[字符集]更新当前会话字符集

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(1)

A1: 连接数据库

A2: 查询出所有官方语言的记录

A3: 需要列出的语言

A4: 将所有记录按Language对位到A3相应位置

A5: 构造以语言和使用此语言为官方语言的国家数量的序表

sql一年各月差异分析(SQL难点解决直观分组)(2)

示例 2:按顺序分别列出使用 Chinese、English、French 及其它语言作为官方语言的国家数量

MySQL8:

with t(name ord) as (select 'Chinese' 1 union all select 'English' 2

union all select 'French' 3 union all select 'Other' 4)

s(name cnt) as (

select language count(countrycode) cnt

from world.countrylanguage s

where s.isofficial='T' and language in ('Chinese' 'English' 'French')

group by language

union all

select 'Other' count(distinct countrycode) cnt

from world.countrylanguage s

where isofficial='T' and language not in ('Chinese' 'English' 'French')

)

select t.name s.cnt

from t left join s using (name)

order by t.ord;

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(3)

A4: 将所有记录按Language对位到A3.to(3)相应位置,并追加一组用于存放不能对位的记录

A5: 第4组计算不同CountryCode的数量

sql一年各月差异分析(SQL难点解决直观分组)(4)

2、 枚举分组

示例 1:按顺序列出各类型城市的数量

MySQL8:

with t as (select * from world.city where CountryCode='CHN')

segment(class start end) as (select 'tiny' 0 200000

union all select 'small' 200000 1000000

union all select 'medium' 1000000 2000000

union all select 'Big' 2000000 100000000

)

select class count(1) cnt

from segment s join t on t.population>=s.start and t.population

group by class start

order by start;

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(5)

A3: ${…}宏替换,以大括号内表达式的结果作为新表达式进行计算,结果为序列["?<200000" "?<1000000" "?<2000000" "?<100000000"]

A5: 针对 A2 中每条记录,寻找 A3 中第 1 个成立的条件,并追加到对应的组中

sql一年各月差异分析(SQL难点解决直观分组)(6)

示例 2:列出华东地区大型城市数量、其它地区大型城市数量、非大型城市数量

MySQL8:

with t as (select * from world.city where CountryCode='CHN')

select 'East&Big' class count(*) cnt

from t

where population>=2000000

and district in ('Shanghai' 'Jiangshu' 'Shandong' 'Zhejiang' 'Anhui' 'Jiangxi')

union all

select 'Other&Big' count(*)

from t

where population>=2000000

and district not in ('Shanghai' 'Jiangshu' 'Shandong' 'Zhejiang' 'Anhui' 'Jiangxi')

union all

select 'Not Big' count(*)

from t

where population<2000000;

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(7)

A5: enum@n将不满足 A4 中所有条件的记录存放到追加的最后一组中

sql一年各月差异分析(SQL难点解决直观分组)(8)

示例 3:列出所有地区大型城市数量、华东地区大型城市数量、非大型城市数量

MySQL8:

with t as (select * from world.city where CountryCode='CHN')

select 'Big' class count(*) cnt

from t

where population>=2000000

union all

select 'East&Big' class count(*) cnt

from t

where population>=2000000

and district in ('Shanghai' 'Jiangshu' 'Shandong' 'Zhejiang' 'Anhui' 'Jiangxi')

union all

select 'Not Big' class count(*) cnt

from t

where population<2000000;

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(9)

A6: 若A2中记录满足A4中多个条件时,enum@r会将其追加到对应的每个组中

sql一年各月差异分析(SQL难点解决直观分组)(10)

3、 返回值直接作为序号进行定位分组

示例 1: 按顺序列出各类型城市的数量

MySQL8: 参见“枚举分组”中 SQL

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(11)

A5: 先计算 A2.Population 在 A3 中段号,然后根据段号进行定位分组

4、 原序保持下的相邻记录分组

示例 1: 列出前 10 届奥运金牌榜 (olympic 表中只有历届成绩前 3 名的信息,且没有奖牌完全相同的情况)

MySQL8:

with t1 as (select rank() over(partition by game order by gold1000000 silver*1000 copper desc) rn from olympic where game<=10)

select game nation gold silver copper from t1 where rn=1;

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(12)

A3: 按原序分到各组,每组取第 1 条记录组成新序表

sql一年各月差异分析(SQL难点解决直观分组)(13)

示例 2: 求奥运会国家总成绩蝉联第 1 的最长届数

MySQL8:

with t1 as (select rank() over(partition by game order by gold1000000 silver*1000 copper desc) rn from olympic)

t2 as (select game ifnull(nation<>lag(nation) over(order by game) 0)neq from t1 where rn=1)

t3 as (select sum(neq) over(order by game) acc from t2)

t4 as (select count(acc) cnt from t3 group by acc)

select max(cnt) cnt from t4;

t1: 求出成绩排名

t2: 列出历届第1名,并根据nation是否与上届不同置标志neq(不同置1,相同置0)

t3: 累积标志neq到acc,可以保证相邻nation相同的acc相同,不相邻nation的acc不相同

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(14)

A4: 将相邻nation相同的记录按原序分到同组

A5: 求各组长度的最大值即最大届数

sql一年各月差异分析(SQL难点解决直观分组)(15)

示例3:列出奥运会总成绩排名第一最长蝉联时的各届信息

MySQL:

with t1 as (select rank() over(partition by game order by gold1000000 silver*1000 copper desc) rn from olympic)

t2 as (select * ifnull(nation<>lag(nation) over(order by game) 0)neq from t1 where rn=1)

t3 as (select * sum(neq) over(order by game) acc from t2)

t4 as (select acc count(acc) cnt from t3 group by acc)

t5 as (select * from t4 where cnt=(select max(cnt) cnt from t4))

select game nation gold silver copper from t3 join t5 using (acc);

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(16)

A5: 求出长度最大组

sql一年各月差异分析(SQL难点解决直观分组)(17)

示例 4:求奥运会前3名金牌总数连续增长的最大届数

MySQL8:

with t1 as (select game sum(gold) gold from olympic group by game)

t2 as (select game gold gold<=lag(gold 1 -1) over(order by game) lt from t1)

t3 as (select game sum(lt) over(order by game) acc from t2)

t4 as (select count(*) cnt from t3 group by acc)

select max(cnt)-1 cnt from t4;

集算器SPL:

sql一年各月差异分析(SQL难点解决直观分组)(18)

A3: 根据条件值按原序分组,若gold小于等于上一个gold则产生新分组

sql一年各月差异分析(SQL难点解决直观分组)(19)

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