MySQL - 计数在 0 到 10 秒的特定范围内应答的呼叫，按计数分组
MySQL - Count call answered within certain ranges 0 to 10 sec, group by count
我需要计算在 0 到 10 秒、0 到 20 秒等特定范围内接听的呼叫。计数将增加，而增量将是当前和下一个之间的不同计数。 % 将是当前计数/最终计数总数。
这是您可以使用数据进行测试的 sqlfiddle：http://sqlfiddle.com/#!9/803d2/2
调用示例 table 详细信息：
+-----+----------------+----------+----------+---------------+
| id | callid | callerno | duration | status |
+-----+----------------+----------+----------+---------------+
| 634 | 1479097551.228 | 1000 | 2 | complete |
| 635 | 1479102518.248 | 1000 | 12 | complete |
+-----+----------------+----------+----------+---------------+
预期结果：
+------------------------+----------+----------+----------+
| Ranges | Count | Delta | % |
+------------------------+----------+----------+----------+
| Between 0 to 10 secs | 44 | +44 | 84.62 % |
| Between 0 to 20 secs | 48 | +4 | 92.31 % |
| Between 0 to 30 secs | 50 | +2 | 96.15 % |
| Between 0 to 40 secs | 51 | +1 | 98.08 % |
| Between 0 to 50 secs | 51 | +0 | 98.08 % |
| Between 0 to 60 secs | 51 | +0 | 98.08 % |
| Between 0 to 70 secs | 51 | +0 | 98.08 % |
| Between 0 to 80 secs | 52 | +1 | 100.00 % |
| Between 0 to 90 secs | 52 | +0 | 100.00 % |
| Between 0 to 100+ secs | 52 | +0 | 100.00 % |
+------------------------+----------+----------+----------+
Total 52
我现在能创建的是下面的查询，如果你能帮助提供更好的解决方案，请指教。我现在面临的问题是（优先级）我无法获得百分比的计数和（次要）最终计数总数（52），现在我手动输入最终计数总数（52）。请帮忙。
SELECT Ranges,Delta,ROUND(Delta/52*100,2) AS '%'
FROM
(
SELECT
(
IF(duration<=10,'10',IF(duration<=20,'20',IF(duration<=30,'30',
IF(duration<=40,'40',IF(duration<=50,'50',
IF(duration<=60,'60',IF(duration<=70,'70',IF(duration<=80,
'80',IF(duration<=90,'90','100+'))))))))))
AS Ranges,COUNT(duration) AS Delta
FROM callsdetails
GROUP BY Ranges
) a
GROUP BY Ranges;
当前结果：
+--------+-------+-------+
| Ranges | Delta | % |
+--------+-------+-------+
| 10 | 44 | 84.62 |
| 20 | 4 | 7.69 |
| 30 | 2 | 3.85 |
| 40 | 1 | 1.92 |
| 80 | 1 | 1.92 |
+--------+-------+-------+
=========================================== ==============================
感谢 Etsa 帮助我解决了上述问题，即所有调用的总数，我现在可能需要再次帮助，为每个队列名称添加分组。它与上面的公式相同，但现在必须按队列名称拆分或分组。
这是您可以使用数据进行测试的 sqlfiddle：http://sqlfiddle.com/#!9/efe11b/2
预期结果：
+---------+------+-----------+-------+--------+
| QUEUE | RAN | TOT_COUNT | DELTA | % |
+---------+------+-----------+-------+--------+
| sales | 10 | 6 | 6 | 100.00 |
| sales | 20 | 6 | 0 | 100.00 |
| sales | 30 | 6 | 0 | 100.00 |
| sales | 40 | 6 | 0 | 100.00 |
| sales | 50 | 6 | 0 | 100.00 |
| sales | 60 | 6 | 0 | 100.00 |
| sales | 70 | 6 | 0 | 100.00 |
| sales | 80 | 6 | 0 | 100.00 |
| sales | 90 | 6 | 0 | 100.00 |
| sales | 100+ | 6 | 0 | 100.00 |
| enquiry | 10 | 32 | 32 | 80.00 |
| enquiry | 20 | 36 | 4 | 90.00 |
| enquiry | 30 | 38 | 2 | 95.00 |
| enquiry | 40 | 39 | 1 | 97.50 |
| enquiry | 50 | 39 | 0 | 97.50 |
| enquiry | 60 | 39 | 0 | 97.50 |
| enquiry | 70 | 39 | 0 | 97.50 |
| enquiry | 80 | 40 | 1 | 100.00 |
| enquiry | 90 | 40 | 0 | 100.00 |
| enquiry | 100+ | 40 | 0 | 100.00 |
| others | 10 | 6 | 6 | 100.00 |
| others | 20 | 6 | 0 | 100.00 |
| others | 30 | 6 | 0 | 100.00 |
| others | 40 | 6 | 0 | 100.00 |
| others | 50 | 6 | 0 | 100.00 |
| others | 60 | 6 | 0 | 100.00 |
| others | 70 | 6 | 0 | 100.00 |
| others | 80 | 6 | 0 | 100.00 |
| other | 90 | 6 | 0 | 100.00 |
| others | 100+ | 6 | 0 | 100.00 |
+---------+------+-----------+-------+--------+
一种方法可能是这样（使用变量获取累积和，并使用所有间隔的 JOIN。最后我添加了一个 JOIN 与 SELECT COUNT(*) 以获得 52）：
SELECT RAN, TOT_COUNT, DELTA, ROUND(TOT_COUNT/E.TOT*100,2) AS '%'
FROM (SELECT B.RAN, a.Ranges, COALESCE(a.Delta,0) AS DELTA
, @r:=@r+COALESCE(a.Delta,0) AS TOT_COUNT
FROM (SELECT (
IF(duration<=10,'10',IF(duration<=20,'20',IF(duration<=30,'30',
IF(duration<=40,'40',IF(duration<=50,'50',
IF(duration<=60,'60',IF(duration<=70,'70',IF(duration<=80,
'80',IF(duration<=90,'90','100+'))))))))))
AS Ranges,COUNT(duration) AS Delta
FROM callsdetails C
GROUP BY Ranges) A
RIGHT JOIN (SELECT '10' AS RAN, 1 AS ORD UNION ALL SELECT '20', 2 AS ORD UNION ALL SELECT '30', 3
UNION ALL SELECT '40', 4 UNION ALL SELECT '50', 5 UNION ALL SELECT '60',6 UNION ALL SELECT '70',7
UNION ALL SELECT '80',8 UNION ALL SELECT '90',9 UNION ALL SELECT '100+',10) B ON A.Ranges=B.RAN
CROSS JOIN (SELECT @r:=0) T
ORDER BY ORD
) D
CROSS JOIN (SELECT COUNT(*) AS TOT FROM callsdetails) E
;
输出：
RAN TOT_COUNT DELTA %
10 44 44 84.62
20 48 4 92.31
30 50 2 96.15
40 51 1 98.08
50 51 0 98.08
60 51 0 98.08
70 51 0 98.08
80 52 1 100
90 52 0 100
100+ 52 0 100
已更新（有问题的新请求）。
SELECT queueALL, RAN, TOT_COUNT, DELTA, ROUND(TOT_COUNT/D.TOT*100,2) AS '%'
FROM (
SELECT B.queueALL, B.RAN, a.Ranges, COALESCE(a.Delta,0) AS DELTA, B.TOT
, CASE WHEN queueALL=@q THEN @r:=@r+COALESCE(a.Delta,0) ELSE @r:=COALESCE(a.Delta,0) END AS TOT_COUNT
, @q:=queueALL
, ORD
FROM (SELECT queuename
, CASE WHEN duration DIV 10.0001+1<=9 THEN CAST((duration DIV 10.0001+1)*10 AS CHAR)
ELSE '100+' END AS Ranges
, COUNT(duration) AS Delta
FROM callsdetails C
GROUP BY queuename, Ranges) A
RIGHT JOIN (SELECT B2.queuename AS queueALL, B2.TOT, B1.RAN, B1.ORD
FROM
(SELECT queuename, COUNT(*) AS TOT FROM callsdetails GROUP BY queuename) B2
CROSS JOIN (SELECT '10' AS RAN,1 AS ORD UNION ALL SELECT '20',2 AS ORD UNION ALL SELECT '30',3
UNION ALL SELECT '40',4 UNION ALL SELECT '50',5 UNION ALL SELECT '60',6 UNION ALL SELECT '70',7
UNION ALL SELECT '80',8 UNION ALL SELECT '90',9 UNION ALL SELECT '100+',10)B1 ) B ON A.Ranges=B.RAN AND A.queuename = B.queueALL
CROSS JOIN (SELECT @r:=0, @q:='') T
ORDER BY queueALL, ORD) D
ORDER BY queueALL, ORD
;
输出：
+----------+------+-----------+-------+------+
| queueALL | RAN | TOT_COUNT | DELTA | % |
+----------+------+-----------+-------+------+
| enquiry | 10 | 32 | 32 | 80 |
| enquiry | 20 | 36 | 4 | 90 |
| enquiry | 30 | 38 | 2 | 95 |
| enquiry | 40 | 39 | 1 | 97.5 |
| enquiry | 50 | 39 | 0 | 97.5 |
| enquiry | 60 | 39 | 0 | 97.5 |
| enquiry | 70 | 39 | 0 | 97.5 |
| enquiry | 80 | 40 | 1 | 100 |
| enquiry | 90 | 40 | 0 | 100 |
| enquiry | 100+ | 40 | 0 | 100 |
| others | 10 | 6 | 6 | 100 |
| others | 20 | 6 | 0 | 100 |
| others | 30 | 6 | 0 | 100 |
| others | 40 | 6 | 0 | 100 |
| others | 50 | 6 | 0 | 100 |
| others | 60 | 6 | 0 | 100 |
| others | 70 | 6 | 0 | 100 |
| others | 80 | 6 | 0 | 100 |
| others | 90 | 6 | 0 | 100 |
| others | 100+ | 6 | 0 | 100 |
| sales | 10 | 6 | 6 | 100 |
| sales | 20 | 6 | 0 | 100 |
| sales | 30 | 6 | 0 | 100 |
| sales | 40 | 6 | 0 | 100 |
| sales | 50 | 6 | 0 | 100 |
| sales | 60 | 6 | 0 | 100 |
| sales | 70 | 6 | 0 | 100 |
| sales | 80 | 6 | 0 | 100 |
| sales | 90 | 6 | 0 | 100 |
| sales | 100+ | 6 | 0 | 100 |
+----------+------+-----------+-------+------+
我需要计算在 0 到 10 秒、0 到 20 秒等特定范围内接听的呼叫。计数将增加，而增量将是当前和下一个之间的不同计数。 % 将是当前计数/最终计数总数。
这是您可以使用数据进行测试的 sqlfiddle：http://sqlfiddle.com/#!9/803d2/2
调用示例 table 详细信息：
+-----+----------------+----------+----------+---------------+
| id | callid | callerno | duration | status |
+-----+----------------+----------+----------+---------------+
| 634 | 1479097551.228 | 1000 | 2 | complete |
| 635 | 1479102518.248 | 1000 | 12 | complete |
+-----+----------------+----------+----------+---------------+
预期结果：
+------------------------+----------+----------+----------+
| Ranges | Count | Delta | % |
+------------------------+----------+----------+----------+
| Between 0 to 10 secs | 44 | +44 | 84.62 % |
| Between 0 to 20 secs | 48 | +4 | 92.31 % |
| Between 0 to 30 secs | 50 | +2 | 96.15 % |
| Between 0 to 40 secs | 51 | +1 | 98.08 % |
| Between 0 to 50 secs | 51 | +0 | 98.08 % |
| Between 0 to 60 secs | 51 | +0 | 98.08 % |
| Between 0 to 70 secs | 51 | +0 | 98.08 % |
| Between 0 to 80 secs | 52 | +1 | 100.00 % |
| Between 0 to 90 secs | 52 | +0 | 100.00 % |
| Between 0 to 100+ secs | 52 | +0 | 100.00 % |
+------------------------+----------+----------+----------+
Total 52
我现在能创建的是下面的查询，如果你能帮助提供更好的解决方案，请指教。我现在面临的问题是（优先级）我无法获得百分比的计数和（次要）最终计数总数（52），现在我手动输入最终计数总数（52）。请帮忙。
SELECT Ranges,Delta,ROUND(Delta/52*100,2) AS '%'
FROM
(
SELECT
(
IF(duration<=10,'10',IF(duration<=20,'20',IF(duration<=30,'30',
IF(duration<=40,'40',IF(duration<=50,'50',
IF(duration<=60,'60',IF(duration<=70,'70',IF(duration<=80,
'80',IF(duration<=90,'90','100+'))))))))))
AS Ranges,COUNT(duration) AS Delta
FROM callsdetails
GROUP BY Ranges
) a
GROUP BY Ranges;
当前结果：
+--------+-------+-------+
| Ranges | Delta | % |
+--------+-------+-------+
| 10 | 44 | 84.62 |
| 20 | 4 | 7.69 |
| 30 | 2 | 3.85 |
| 40 | 1 | 1.92 |
| 80 | 1 | 1.92 |
+--------+-------+-------+
=========================================== ==============================
感谢 Etsa 帮助我解决了上述问题，即所有调用的总数，我现在可能需要再次帮助，为每个队列名称添加分组。它与上面的公式相同，但现在必须按队列名称拆分或分组。
这是您可以使用数据进行测试的 sqlfiddle：http://sqlfiddle.com/#!9/efe11b/2
预期结果：
+---------+------+-----------+-------+--------+
| QUEUE | RAN | TOT_COUNT | DELTA | % |
+---------+------+-----------+-------+--------+
| sales | 10 | 6 | 6 | 100.00 |
| sales | 20 | 6 | 0 | 100.00 |
| sales | 30 | 6 | 0 | 100.00 |
| sales | 40 | 6 | 0 | 100.00 |
| sales | 50 | 6 | 0 | 100.00 |
| sales | 60 | 6 | 0 | 100.00 |
| sales | 70 | 6 | 0 | 100.00 |
| sales | 80 | 6 | 0 | 100.00 |
| sales | 90 | 6 | 0 | 100.00 |
| sales | 100+ | 6 | 0 | 100.00 |
| enquiry | 10 | 32 | 32 | 80.00 |
| enquiry | 20 | 36 | 4 | 90.00 |
| enquiry | 30 | 38 | 2 | 95.00 |
| enquiry | 40 | 39 | 1 | 97.50 |
| enquiry | 50 | 39 | 0 | 97.50 |
| enquiry | 60 | 39 | 0 | 97.50 |
| enquiry | 70 | 39 | 0 | 97.50 |
| enquiry | 80 | 40 | 1 | 100.00 |
| enquiry | 90 | 40 | 0 | 100.00 |
| enquiry | 100+ | 40 | 0 | 100.00 |
| others | 10 | 6 | 6 | 100.00 |
| others | 20 | 6 | 0 | 100.00 |
| others | 30 | 6 | 0 | 100.00 |
| others | 40 | 6 | 0 | 100.00 |
| others | 50 | 6 | 0 | 100.00 |
| others | 60 | 6 | 0 | 100.00 |
| others | 70 | 6 | 0 | 100.00 |
| others | 80 | 6 | 0 | 100.00 |
| other | 90 | 6 | 0 | 100.00 |
| others | 100+ | 6 | 0 | 100.00 |
+---------+------+-----------+-------+--------+
一种方法可能是这样（使用变量获取累积和，并使用所有间隔的 JOIN。最后我添加了一个 JOIN 与 SELECT COUNT(*) 以获得 52）：
SELECT RAN, TOT_COUNT, DELTA, ROUND(TOT_COUNT/E.TOT*100,2) AS '%'
FROM (SELECT B.RAN, a.Ranges, COALESCE(a.Delta,0) AS DELTA
, @r:=@r+COALESCE(a.Delta,0) AS TOT_COUNT
FROM (SELECT (
IF(duration<=10,'10',IF(duration<=20,'20',IF(duration<=30,'30',
IF(duration<=40,'40',IF(duration<=50,'50',
IF(duration<=60,'60',IF(duration<=70,'70',IF(duration<=80,
'80',IF(duration<=90,'90','100+'))))))))))
AS Ranges,COUNT(duration) AS Delta
FROM callsdetails C
GROUP BY Ranges) A
RIGHT JOIN (SELECT '10' AS RAN, 1 AS ORD UNION ALL SELECT '20', 2 AS ORD UNION ALL SELECT '30', 3
UNION ALL SELECT '40', 4 UNION ALL SELECT '50', 5 UNION ALL SELECT '60',6 UNION ALL SELECT '70',7
UNION ALL SELECT '80',8 UNION ALL SELECT '90',9 UNION ALL SELECT '100+',10) B ON A.Ranges=B.RAN
CROSS JOIN (SELECT @r:=0) T
ORDER BY ORD
) D
CROSS JOIN (SELECT COUNT(*) AS TOT FROM callsdetails) E
;
输出：
RAN TOT_COUNT DELTA %
10 44 44 84.62
20 48 4 92.31
30 50 2 96.15
40 51 1 98.08
50 51 0 98.08
60 51 0 98.08
70 51 0 98.08
80 52 1 100
90 52 0 100
100+ 52 0 100
已更新（有问题的新请求）。
SELECT queueALL, RAN, TOT_COUNT, DELTA, ROUND(TOT_COUNT/D.TOT*100,2) AS '%'
FROM (
SELECT B.queueALL, B.RAN, a.Ranges, COALESCE(a.Delta,0) AS DELTA, B.TOT
, CASE WHEN queueALL=@q THEN @r:=@r+COALESCE(a.Delta,0) ELSE @r:=COALESCE(a.Delta,0) END AS TOT_COUNT
, @q:=queueALL
, ORD
FROM (SELECT queuename
, CASE WHEN duration DIV 10.0001+1<=9 THEN CAST((duration DIV 10.0001+1)*10 AS CHAR)
ELSE '100+' END AS Ranges
, COUNT(duration) AS Delta
FROM callsdetails C
GROUP BY queuename, Ranges) A
RIGHT JOIN (SELECT B2.queuename AS queueALL, B2.TOT, B1.RAN, B1.ORD
FROM
(SELECT queuename, COUNT(*) AS TOT FROM callsdetails GROUP BY queuename) B2
CROSS JOIN (SELECT '10' AS RAN,1 AS ORD UNION ALL SELECT '20',2 AS ORD UNION ALL SELECT '30',3
UNION ALL SELECT '40',4 UNION ALL SELECT '50',5 UNION ALL SELECT '60',6 UNION ALL SELECT '70',7
UNION ALL SELECT '80',8 UNION ALL SELECT '90',9 UNION ALL SELECT '100+',10)B1 ) B ON A.Ranges=B.RAN AND A.queuename = B.queueALL
CROSS JOIN (SELECT @r:=0, @q:='') T
ORDER BY queueALL, ORD) D
ORDER BY queueALL, ORD
;
输出：
+----------+------+-----------+-------+------+
| queueALL | RAN | TOT_COUNT | DELTA | % |
+----------+------+-----------+-------+------+
| enquiry | 10 | 32 | 32 | 80 |
| enquiry | 20 | 36 | 4 | 90 |
| enquiry | 30 | 38 | 2 | 95 |
| enquiry | 40 | 39 | 1 | 97.5 |
| enquiry | 50 | 39 | 0 | 97.5 |
| enquiry | 60 | 39 | 0 | 97.5 |
| enquiry | 70 | 39 | 0 | 97.5 |
| enquiry | 80 | 40 | 1 | 100 |
| enquiry | 90 | 40 | 0 | 100 |
| enquiry | 100+ | 40 | 0 | 100 |
| others | 10 | 6 | 6 | 100 |
| others | 20 | 6 | 0 | 100 |
| others | 30 | 6 | 0 | 100 |
| others | 40 | 6 | 0 | 100 |
| others | 50 | 6 | 0 | 100 |
| others | 60 | 6 | 0 | 100 |
| others | 70 | 6 | 0 | 100 |
| others | 80 | 6 | 0 | 100 |
| others | 90 | 6 | 0 | 100 |
| others | 100+ | 6 | 0 | 100 |
| sales | 10 | 6 | 6 | 100 |
| sales | 20 | 6 | 0 | 100 |
| sales | 30 | 6 | 0 | 100 |
| sales | 40 | 6 | 0 | 100 |
| sales | 50 | 6 | 0 | 100 |
| sales | 60 | 6 | 0 | 100 |
| sales | 70 | 6 | 0 | 100 |
| sales | 80 | 6 | 0 | 100 |
| sales | 90 | 6 | 0 | 100 |
| sales | 100+ | 6 | 0 | 100 |
+----------+------+-----------+-------+------+