Question

我有一个包含数百万条通话记录的表，我需要运行汇总统计数据。该表如下所示：

+----------+----------+------------------+------------------+------+-------------+---------------------+---------------------+----------+-----------+-------------------------------------+-------------+
| id       | calltype | client_id | extension_number | flow | partyid     | start               | answer              | duration | disposion | sipcallid                                  | did         |
+----------+----------+------------------+------------------+------+-------------+---------------------+---------------------+----------+-----------+-------------------------------------+-------------+
| 35080566 | out      |       139 | 2222*050         | in   | 01123334455 | 2015-11-12 17:11:10 | 2015-11-12 17:11:10 |        4 | ANSWERED  | 20202911-3656337069-994458@sip.example.com | 01932855644 |
| 35077822 | out      |       139 | 2222*603         | in   | 02114455784 | 2015-11-12 16:37:41 | 2015-11-12 16:37:41 |       27 | ANSWERED  | 20138716-3656335055-417971@sip.example.com | 01123334455 |
| 35077821 | out      |       139 | 2222*603         | in   | 02114455784 | 2015-11-12 16:38:08 | 2015-11-12 16:38:08 |       80 | ANSWERED  | 20138716-3656335055-417971@sip.example.com | 01123334455 |
| 35077820 | local    |       139 | 2222*747         | in   | 2222*605    | 2015-11-12 16:38:09 | 2015-11-12 16:38:09 |       79 | ANSWERED  | 20138716-3656335055-417971@sip.example.com | 01123334455 |
| 35077346 | out      |       139 | 2222*603         | in   | 07841254789 | 2015-11-12 16:26:15 | 2015-11-12 16:26:15 |       27 | ANSWERED  | 20113840-3656334365-407195@sip.example.com | 01123334455 |
| 35077345 | out      |       139 | 2222*603         | in   | 07841254789 | 2015-11-12 16:26:42 | 2015-11-12 16:26:42 |      527 | ANSWERED  | 20113840-3656334365-407195@sip.example.com | 01123334455 |
| 35077344 | local    |       139 | 2222*746         | in   | 2222*609    | 2015-11-12 16:26:43 | 2015-11-12 16:26:43 |      526 | ANSWERED  | 20113840-3656334365-407195@sip.example.com | 01123334455 |
| 35065079 | out      |       139 | 2222*603         | in   | 02415785414 | 2015-11-12 14:37:21 | 2015-11-12 14:37:21 |       21 | ANSWERED  | 19848872-3656327834-411032@sip.example.com | 01123334455 |
| 35065078 | out      |       139 | 2222*603         | in   | 02415785414 | 2015-11-12 14:37:42 | 2015-11-12 14:37:42 |      776 | ANSWERED  | 19848872-3656327834-411032@sip.example.com | 01123334455 |
| 35065077 | local    |       139 | 2222*744         | in   | 2222*604    | 2015-11-12 14:37:42 | 2015-11-12 14:37:42 |      776 | ANSWERED  | 19848872-3656327834-411032@sip.example.com | 01123334455 |
+----------+----------+------------------+------------------+------+-------------+---------------------+---------------------+----------+-----------+-------------------------------------+-------------+

我需要运行查询以每天聚合数据。这应该很简单但是从数据中可以看出，一个公共呼叫有多行（例如，底部三行是同一呼叫的不同分支 - 这很明显，因为它们都具有相同的SIP呼叫ID）。呼叫开始的时间（即振铃）是start，答案时间是answer。

我需要提供以下统计数据：

每个DID的总呼叫次数

没有。电话回答＆lt; 5秒

没有。电话回答＆gt; 10秒

我有一个计算MAX(answer)-MAX(start)的查询，它给出了相关时间段内答案的计数，但我无法弄清楚如何汇总其输出以给我每日数据。

我的查询如下：

SELECT ch.did "Inbound DDI", 
  DATE(ch.start) Date, 
  IF((MAX(answer)-MIN(start)) < 5, 1 , 0),
  IF((MAX(answer)-MIN(start)) BETWEEN 5 AND 10, 1 , 0),
  IF((MAX(answer)-MIN(start)) > 10, 1 , 0)
  sipcallid
FROM 
  call_history ch
WHERE 
  flow = 'in' 
  AND ch.did <> ""
  AND ch.client_client_id = 1207 
  AND ch.duration > 0
  AND ch.disposition = "ANSWERED"
  AND DATE(start) = DATE_SUB(CURDATE(), INTERVAL 2 DAY) 
GROUP BY 
  ch.sipcallid;

有没有办法聚合这个的输出，还是我必须编写脚本？我可以看到我可以用Python做到这一点。

Answer 1

根据链接建议，您可以使用子查询来实现目标并避免python脚本。查询可能如下所示：

SELECT
  agg.Date,
  SUM(agg.short),
  SUM(agg.long)
FROM (
SELECT ch.did "Inbound DDI", 
  DATE(ch.start) Date, 
  IF((MAX(answer)-MIN(start)) < 5, 1 , 0) as 'short',
  IF((MAX(answer)-MIN(start)) BETWEEN 5 AND 10, 1 , 0) as 'avg',
  IF((MAX(answer)-MIN(start)) > 10, 1 , 0) as 'long',
  sipcallid
FROM 
  call_history ch
WHERE 
  flow = 'in' 
  AND ch.did <> ""
  AND ch.duration > 0
  AND ch.disposion = "ANSWERED"
GROUP BY 
  ch.sipcallid
) agg
GROUP BY agg.Date

您可以在sqlfiddle

尝试此查询

MySQL聚合查询的聚合结果

1 个答案: