标记找规律

连续登录2-7天用户

建表

create table continuous_login(
	user_id1 integer comment '用户id',
	date_login date comment '登陆日期'
) comment '用户登录表';

insert into continuous_login
values
  (1,'2022-01-10'),
  (1,'2022-01-11'),
  (1,'2022-01-13'),
  (1,'2022-01-14'),
  (1,'2022-01-15'),
  (1,'2022-01-16'),
  (1,'2022-01-17'),
  (1,'2022-01-18'),
  (1,'2022-01-19'),
  (2,'2022-01-05'),
  (2,'2022-01-06'),
  (2,'2022-01-07'),
  (2,'2022-01-11'),
  (3,'2022-01-01'),
  (3,'2022-01-03'),
  (3,'2022-01-11');

排名找规律

with tmp as(-- 过滤 保证无重复日期
  select *
  from continuous_login
  group by user_id1,date_login
),
  tmp1 as(-- 日期排名 等差数列
    select
      *,
      dense_rank() over(partition by user_id1 order by date_login) dr
    from continuous_login 
  ),
  tmp2 as(-- 等差 - 等差 =  差一样
    select
      user_id1,
      count(1) days_login_consecutive, -- 连续登录天数
      concat(min(date_login),'/',max(date_login)) date_finish_begin -- 拼接 连续登录起止日期
    from tmp1
    group by user_id1, adddate(date_login,-dr) -- 连续登录日期 等差数列
    having count(1) between 2 and 7 -- 连续登录所有情况中过滤出连续登录2-7天
  )
select -- 输出格式
  user_id1,
  group_concat(days_login_consecutive) days_login_consecutive,
  group_concat(date_finish_begin) date_finish_begin
from tmp2
group by user_id1;

最大连胜次数

建表

create table if not exists match1(
	player_id integer unsigned not null default 0 comment '玩家ID',
	match_day date default '1970-01-01' comment '比赛日期',
	result1 varchar(5) comment '比赛结果'
) comment '玩家比赛表';

insert into match1
value
	('1','2022-01-17','Win'),
	('1','2022-01-18','Win'),
	('1','2022-01-25','Win'),
	('1','2022-01-31','Draw'),
	('1','2022-02-08','Win'),
	('2','2022-02-06','lose'),
	('2','2022-02-08','lose'),
	('3','2022-03-30','Win');

多次排名 找规律

with tmp as(-- 日期多次排名 找规律
  select
    player_id,match_day,result1,
    if(result1 = 'Win',1,0) result1_if, -- if标记 为了计数
    dense_rank() over(partition by player_id order by match_day) dr,
    dense_rank() over(partition by player_id,result1 order by match_day) dr1
  from match1
),
  tmp1 as(-- 连续同种结果 差一样
    select
      player_id,
      sum(result1_if) consecutive_count
    from tmp
    group by player_id,dr - dr1
  )
select -- 输出格式
  player_id,
  'Win' result1, -- 比赛结果
  max(consecutive_count) max_consecutive_count -- 最大连胜次数
from tmp1
group by player_id;

输出更多数据

with tmp as(-- 日期多次排名 找规律
  select
    player_id,match_day,result1,
    dense_rank() over(partition by player_id order by match_day) dr,
    dense_rank() over(partition by player_id,result1 order by match_day) dr1
  from match1
)
select -- 连续同种结果 差一样
  player_id,
  any_value(result1) result1, -- 比赛结果
  count(result1) consecutive_count -- 同种结果 连续次数
from tmp
group by player_id,dr - dr1;

标记计数 百分比

各科各分数段人数及百分比，及格为：>=60，中等为：70-80，优良为：80-90，优秀为：>=90

with tmp as(-- 标记score 方便计数
  select
    c_id,count(1) num,
    sum(if(score >= 60,1,0)) pass,
    sum(if(score >= 70 and score < 80,1,0)) medium,
    sum(if(score >= 80 and score < 90,1,0)) good,
    sum(if(score >= 90,1,0)) excellent
  from score
  group by c_id
)
select -- 百分比
  c_id,
  num, -- 各科人数
  pass, -- 及格人数
  if(pass = 0,0,concat(cast(pass / num * 100 as decimal(5,2)),'%')) pass_percent, -- 及格率
  
  medium, -- 中等人数
  if(medium = 0,0,concat(cast(medium / num * 100 as decimal(5,2)),'%')) medium_percent, -- 中等率
  
  good, -- 优良人数
  if(good = 0,0,concat(cast(good / num * 100 as decimal(5,2)),'%')) good_percent, -- 优良率
  
  excellent, -- 优秀人数
  if(excellent = 0,0,concat(cast(excellent / num * 100 as decimal(5,2)),'%')) excellent_percent -- 优秀率
from tmp;