數據計算導入時間和審覈時間之間的差並且按照時間區間,整理成excel畫出圖表。
關鍵的表字段如上圖所示。
首先兩個日期的加減涉及到mysql的函數datediff(),可以計算出兩者之間的差值
SELECT
fk_comp_id,
datediff(
LEFT (f_create_time, 8),
LEFT (f_date, 8)
)
FROM
t_athlete_score
WHERE
f_year = 2019
GROUP BY
fk_comp_id
然後計算差值在什麼範圍之內,使用到mysql的函數INTERVAL(),INTERVAL()函數進行比較列表(N1,N2,N3等等)中的N值。該函數如果N<N1返回0,如果N<N2返回1,如果N<N3返回2 等等。如果N爲NULL,它將返回-1。列表值必須是N1<N2<N3的形式才能正常工作。下面的代碼是顯示 INTERVAL()函數如何工作的一個簡單的例子:
mysql>SELECT INTERVAL(6,1,2,3,4,5,6,7,8,9,10);
+---------------------------------------------------------+
| INTERVAL(6,1,2,3,4,5,6,7,8,9,10) |
+---------------------------------------------------------+
| 6 |
+---------------------------------------------------------+
1 row in set (0.00 sec)
結果中,6是從零開始的索引,列表第一個值的值大於N. 在我們的例子中,6 屬於 [6,7) ,所以返回第6個索引
sql可以演化爲:
SELECT
INTERVAL (
datediff(
LEFT (f_create_time, 8),
LEFT (f_date, 8)
),
0,
10,
20,
30,
40,
50,
60,
70,
80,
90,
100,
110,
120
) AS dayNumber,
fk_comp_id,
datediff(
LEFT (f_create_time, 8),
LEFT (f_date, 8)
)
FROM
t_athlete_score
WHERE
f_year = 2019
GROUP BY
fk_comp_id
查詢出來的結果,如圖所示:
然後爲了能更好看,表達的更清晰一點,可以使用ELT()函數,將每個值賦予意義,ELT(n,str1,str2,str3,…) :如果n=1,則返回str1,如果n=2,則返回str2,依次類推。如果n小於1或大於參數個數,返回NULL。
mysql> SELECT ELT(3,'hello','halo','test','world');
+--------------------------------------+
| ELT(3,'hello','halo','test','world') |
+--------------------------------------+
| test |
+--------------------------------------+
1 row in set
此時,mysql的SQL語句演變爲:
SELECT
ELT(INTERVAL(datediff(LEFT (f_create_time, 8),LEFT (f_date, 8)),0,10,20,30,40,50,60,70,80,90,100,110,120),'<=10','10<x<=20','20<x<=30','30<x<=40','40<x<=50','50<x<=60','60<x<=70','70<x<=80','80<x<=90','90<x<=100','100<x<=110','110<x<=120','x>=120') as dayNumber,
fk_comp_id,
datediff(LEFT (f_create_time, 8),LEFT (f_date, 8))
FROM
t_athlete_score
WHERE
f_year = 2019
GROUP BY
fk_comp_id
然後統計每個區間的個數,sql演化爲:
select m.dayNumber,count(fk_comp_id) from (
SELECT
ELT(
INTERVAL (
datediff(
LEFT (f_create_time, 8),
LEFT (f_date, 8)
),
0,
10,
20,
30,
40,
50,
60,
70,
80,
90,
100,
110,
120
),
'<=10',
'10<x<=20',
'20<x<=30',
'30<x<=40',
'40<x<=50',
'50<x<=60',
'60<x<=70',
'70<x<=80',
'80<x<=90',
'90<x<=100',
'100<x<=110',
'110<x<=120',
'x>=120'
) AS dayNumber,
fk_comp_id,
datediff(
LEFT (f_create_time, 8),
LEFT (f_date, 8)
),INTERVAL (
datediff(
LEFT (f_create_time, 8),
LEFT (f_date, 8)
),
0,
10,
20,
30,
40,
50,
60,
70,
80,
90,
100,
110,
120
) as orderindex
FROM
t_athlete_score
WHERE
f_year = 2019
GROUP BY
fk_comp_id
) as m GROUP BY m.dayNumber ORDER BY m.orderindex
查詢出來的結果爲:
將查詢結果,做成excel圖表如下圖: