mysql - mysql生成具有先前值的缺失日期

以下是具有稀疏日期的mysql表。

col dt_id  value
A1 2018-05-28 30
A1 2018-05-30 20
A1 2018-05-31 50
A1 2018-06-01 50
A1 2018-06-04 80
A1 2018-06-05 50

输出应该类似于下面的内容，其中缺少的日期与最后的值一起填充。

col dt_id  value
A1 2018-05-28 30
A1 2018-05-29 30
A1 2018-05-30 20
A1 2018-05-31 50
A1 2018-06-01 50
A1 2018-06-02 50
A1 2018-06-03 50
A1 2018-06-04 80
A1 2018-06-05 50

在这里生成了以下内容。

A1 2018-05-29 30
A1 2018-06-02 50
A1 2018-06-03 50

我知道使用last_value() over (partition by..使用oracle的解决方案，但是由于这是mysql，因此有点棘手。

这是我尝试过的：

创建时间表并填充数据：

CREATE TABLE `time_table` (date_id date not null);
create table ints ( i tinyint ); insert into ints values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);

insert into time_table (date_id) select date('2016-09-01')+ interval a.i*10000 + b.i*1000 + c.i*100 + d.i*10 + e.i day
from ints a
join ints b
join ints c
join ints d
join ints e
where (a.i*10000 + b.i*1000 + c.i*100 + d.i*10 + e.i) <= 11322 order by 1;

select * from time_table limit 10;
+------------+
| date_id    |
+------------+
| 2018-09-22 |
| 2018-09-21 |
| 2018-09-20 |
| 2018-09-19 |
| 2018-09-18 |
| 2018-09-17 |
| 2018-09-16 |
| 2018-09-15 |
| 2018-09-14 |
| 2018-09-13 |
+------------+

Here is the data for the balance table:
Here is the data
+------+------------+-------+
| A1   | 2018-05-28 |    30 |
| A1   | 2018-05-30 |    20 |
| A1   | 2018-05-31 |    50 |
| A1   | 2018-06-01 |    50 |
| A1   | 2018-06-04 |    80 |
| A1   | 2018-06-05 |    50 |
| B1   | 2018-05-28 |    30 |
| B1   | 2018-05-30 |    20 |
| B1   | 2018-05-31 |    50 |
| B1   | 2018-06-01 |    50 |
| B1   | 2018-06-04 |    80 |
| B1   | 2018-06-05 |    50 |
| C1   | 2018-05-28 |    30 |
| C1   | 2018-05-30 |    20 |
| C1   | 2018-05-31 |    50 |
| C1   | 2018-06-01 |    50 |
| C1   | 2018-06-04 |    80 |
| C1   | 2018-06-05 |    50 |
| D1   | 2018-06-28 |    30 |
| D1   | 2018-07-02 |    20 |
| D1   | 2018-07-04 |    50 |
| D1   | 2018-07-08 |    80 |
| D1   | 2018-07-19 |    50 |
+------+------------+-------+


mysql> select b.id, ab.id, tt.`date_id` as cal_date, b.`mx` as ex_date, val
    -> from time_table tt
    -> inner join (select id, min(date_id) mi, max(date_id) mx from balance group by id) b
    -> on tt.`date_id` >= b.`mi`
    -> and tt.`date_id` <= b.mx
    -> left join (select id, date_id, sum(value) val from balance group by id, date_id) ab
    -> on ab.id = b.id and tt.`date_id` = ab.date_id
    -> order by cal_date;
+------+------+------------+------------+------+
| id   | id   | cal_date   | ex_date    | val  |
+------+------+------------+------------+------+
| A1   | A1   | 2018-05-28 | 2018-06-05 |   30 |
| A1   | NULL | 2018-05-29 | 2018-06-05 | NULL |
| A1   | A1   | 2018-05-30 | 2018-06-05 |   20 |
| A1   | A1   | 2018-05-31 | 2018-06-05 |   50 |
| A1   | A1   | 2018-06-01 | 2018-06-05 |   50 |
| A1   | NULL | 2018-06-02 | 2018-06-05 | NULL |
| A1   | NULL | 2018-06-03 | 2018-06-05 | NULL |
| A1   | A1   | 2018-06-04 | 2018-06-05 |   80 |
| A1   | A1   | 2018-06-05 | 2018-06-05 |   50 |
+------+------+------------+------------+------+

最佳答案

对于MySQL 8：

with recursive rcte(dt_id, col, value) as (
  (
    select dt_id, col, value
    from mytable
    order by dt_id
    limit 1
  )
  union all
  select r.dt_id + interval 1 day
       , coalesce(t.col, r.col)
       , coalesce(t.value, r.value)
  from rcte r
  left join mytable t on t.dt_id = r.dt_id + interval 1 day
  where r.dt_id < (select max(dt_id) from mytable)
)
select r.col, r.dt_id, r.value
from rcte r
order by r.dt_id

db-fiddle

递归查询将逐行构建，以递增从第一个日期到最后一个日期的日期。 value（和col）取自原始表，该表在日期保持连接状态。如果原始表中没有日期行，则采用递归中最后一行的值。

对于较旧的版本，可以使用日历表和左侧联接ON子句中的子查询来获取最新的现有值：

select b.col, c.date_id, b.value
from time_table c
left join balance b on b.dt_id = (
  select max(dt_id)
  from balance b1
  where b1.dt_id <= c.date_id
)
where c.date_id >= (select min(dt_id) from balance)
  and c.date_id <= (select max(dt_id) from balance)

db-fiddle

更新资料

由于问题已更改：

select b.col, c.date_id, b.value
from (
  select col, min(dt_id) as min_dt, max(dt_id) as max_dt
  from balance
  group by col
) i
join time_table c
  on  c.date_id >= i.min_dt
  and c.date_id <= i.max_dt
left join balance b
  on  b.col = i.col
  and b.dt_id = (
    select max(dt_id)
    from balance b1
    where b1.dt_id <= c.date_id
      and b1.col = i.col
)
order by b.col, c.date_id

db-fiddle

确保您在(col, dt_id)上具有索引。在最佳情况下，它将是主键。 date_id中的time_table也应被索引或为主键。