MYSQL-查询过去7天的数据 当天没有值的赋予默认值0或者其余

最近公司在作统计,前端使用了ECHART,须要有7天的数据结果,后台调度数据的话使天天晚上0点一刻跑昨天一天的数据汇总。可是若是使新的数据,就不会有7天的数据可查。因此怎么构建空的统计数据给前端呢。html

因为本人sql能力水平真的不好(这段时间要多增强),在百度和google了一大会以后,发现了两个不错的给了我思路的blog:前端

1.http://www.cnblogs.com/jethypc/p/5065857.htmlsql

2.https://segmentfault.com/q/1010000006663965segmentfault

在 查询过去N天数据的时候,可使用adddate()函数 和 CROSS JOIN 查询。函数

1.建立基础表:google

CREATE TABLE num (i INT);
INSERT INTO num (i) VALUES (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);

 2.查询时间范围code

SELECT
    adddate('2015-11-25', numlist.id) AS 'date'
FROM
    (
        SELECT
            n1.i + n10.i * 10 + n100.i * 100 AS id
        FROM
            num n1
        CROSS JOIN num AS n10
        CROSS JOIN num AS n100
    ) AS numlist
WHERE
    adddate('2015-11-25', numlist.id) <= '2015-12-25';

3 建立数据表htm

create table datatable(tDate char(10) PRIMARY KEY,tCount int(3));
 
insert into datatable(tDate,tCount)values
('2015-11-24',23),('2015-11-25',1),
('2015-11-26',21),('2015-11-28',17),
('2015-11-29',13),('2015-12-01',5),
('2015-12-02',11),('2015-12-04',8),
('2015-12-05',3),('2015-12-07',29),
('2015-12-09',80),('2015-12-10',24)

4 查询 (无值时补零)blog

SELECT
    a.date,
    COALESCE (b.tcount, 0) count
FROM
    (
        SELECT
            adddate('2015-11-25', numlist.id) AS 'date'
        FROM
            (
                SELECT
                    n1.i + n10.i * 10 + n100.i * 100 AS id
                FROM
                    num n1
                CROSS JOIN num AS n10
                CROSS JOIN num AS n100
            ) AS numlist
        WHERE
            adddate('2015-11-25', numlist.id) <= '2015-12-25'
    ) a
LEFT JOIN datatable b ON a.date = b.tDate

查看结果:qt

另一种比较笨的方法是使用union all 单独查询出来7天的数据  配合 left join 条件 查询出数据。

select a.click_date, ifnull(b.click_qty, 0)
from (
    select * from (
    SELECT curdate() as click_date
    union all
    SELECT date_sub(curdate(), interval 1 day) as click_date
    union all
    SELECT date_sub(curdate(), interval 2 day) as click_date
    union all
    SELECT date_sub(curdate(), interval 3 day) as click_date
    union all
    SELECT date_sub(curdate(), interval 4 day) as click_date
    union all
    SELECT date_sub(curdate(), interval 5 day) as click_date
    union all
    SELECT date_sub(curdate(), interval 6 day) as click_date
    )
) a left join (
  select click_date, count(*) as click_qty
  from click_log_table
  group by click_date --我使用的是这种方式,估计之后还得改,条件要放到left join 里面 否则没效果
) b

最后个人七天数据查询是这样写的:

SELECT
   COALESCE (b.new_add_count, 0) new_add_count,
   COALESCE (b.exit_count, 0) exit_count,
   COALESCE (b.active_count, 0) active_count
FROM
    (
        select * from (
    SELECT date_sub(curdate(), interval 1 day) as statis_date
    union all
    SELECT date_sub(curdate(), interval 2 day) as statis_date
    union all
    SELECT date_sub(curdate(), interval 3 day) as statis_date
    union all
    SELECT date_sub(curdate(), interval 4 day) as statis_date
    union all
    SELECT date_sub(curdate(), interval 5 day) as statis_date
    union all
    SELECT date_sub(curdate(), interval 6 day) as statis_date
    union all
    SELECT date_sub(curdate(), interval 7 day) as statis_date
    ) d
    ) a
    LEFT JOIN stat_comm_group_day b ON a.statis_date = b.statis_date AND b.id=本身传入的参数(这儿的条件不能拿到外层。)
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