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Mysql 查询没有给出 group by 的预期结果

转载 作者:行者123 更新时间:2023-11-29 09:34:47 24 4
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我有一个queue_log表,其中包含单个调用记录的多个记录,并且对于单个调用行数重复了唯一列call_id。

我有以下查询。


select case when verb="did" then data1 end as did,
case when verb='CONNECT' then "Answered" else "Missed" end as status,
queue,verb,
case when verb in ('connect') then agent end as agent
from queue_log
where created between '2019-09-01' and '2019-09-09'
group by call_id
having verb in ('did','connect','enterqueue','completecaller','completeagent','abandon','exitwithtimeout');

让我们再解释一下。如果我在queue_log中有一个调用,它有一个记录,其中verb=did,第二个verb=connect,然后第三个记录,动词在('completecaller','completeagent'),并且所有行的call_id都相同。

如果任何行中有动词 connect,则此调用将被应答,否则放弃。

以上查询返回所有放弃调用。同时也有接听电话。

以下是示例数据。

$

+-------+-----+------------+------------------+-------+----------------+-----------+----------------+-------+------+----------+------------------+-------+-------+-------+-----------+---------------------+
| id | idd | time_id | call_id | queue | verb | queuename | agent | event | data | data1 | data2 | data3 | data4 | data5 | partition | created |
+-------+-----+------------+------------------+-------+----------------+-----------+----------------+-------+------+----------+------------------+-------+-------+-------+-----------+---------------------+
| 41972 | 0 | 1567386039 | 1567386027.11981 | 4001 | DID | | NONE | | | 63897811 | | | | | P001 | 2019-09-02 09:00:39 |
| 41973 | 0 | 1567386039 | 1567386027.11981 | 4001 | ENTERQUEUE | | NONE | | | | 63038768 | 1 | | | P001 | 2019-09-02 09:00:39 |
| 41974 | 0 | 1567386049 | 1567386027.11981 | 4001 | CONNECT | | SIP/135 | | | 10 | 1567386039.11982 | 10 | | | P001 | 2019-09-02 09:00:50 |
| 41975 | 0 | 1567386095 | 1567386027.11981 | 4001 | COMPLETEAGENT | | SIP/135 | | | 10 | 46 | 1 | | | P001 | 2019-09-02 09:01:35 |
| 41976 | 0 | 1567386104 | 1567386092.11985 | 4003 | DID | | NONE | | | 63897815 | | | | | P001 | 2019-09-02 09:01:44 |
| 41977 | 0 | 1567386104 | 1567386092.11985 | 4003 | ENTERQUEUE | | NONE | | | | 63045831 | 1 | | | P001 | 2019-09-02 09:01:44 |
| 41978 | 0 | 1567386107 | 1567386095.11986 | 4004 | DID | | NONE | | | 63897817 | | | | | P001 | 2019-09-02 09:01:47 |
| 41979 | 0 | 1567386107 | 1567386095.11986 | 4004 | ENTERQUEUE | | NONE | | | | 67379922 | 1 | | | P001 | 2019-09-02 09:01:47 |
| 41980 | 0 | 1567386109 | 1567386092.11985 | 4003 | CONNECT | | Christine Nah | | | 5 | 1567386104.11987 | 4 | | | P001 | 2019-09-02 09:01:49 |
| 41981 | 0 | 1567386116 | 1567386095.11986 | 4004 | CONNECT | | Helen Ang | | | 9 | 1567386107.11990 | 9 | | | P001 | 2019-09-02 09:01:56 |
| 41982 | 0 | 1567386147 | 1567386095.11986 | 4004 | COMPLETEAGENT | | Helen Ang | | | 9 | 31 | 1 | | | P001 | 2019-09-02 09:02:27 |
| 41983 | 0 | 1567386155 | 1567386092.11985 | 4003 | COMPLETECALLER | | Christine Nah | | | 5 | 46 | 1 | | | P001 | 2019-09-02 09:02:35 |
| 41984 | 0 | 1567386254 | 1567386242.11999 | 4002 | DID | | NONE | | | 63897813 | | | | | P001 | 2019-09-02 09:04:14 |
| 41985 | 0 | 1567386254 | 1567386242.11999 | 4002 | ENTERQUEUE | | NONE | | | | 66438001 | 1 | | | P001 | 2019-09-02 09:04:14 |
| 41986 | 0 | 1567386255 | 1567386243.12000 | 4002 | DID | | NONE | | | 63897813 | | | | | P001 | 2019-09-02 09:04:15 |
| 41987 | 0 | 1567386255 | 1567386243.12000 | 4002 | ENTERQUEUE | | NONE | | | | 62168443 | 2 | | | P001 | 2019-09-02 09:04:15 |
| 41988 | 0 | 1567386266 | 1567386242.11999 | 4002 | CONNECT | | Catherine Chia | | | 12 | 1567386254.12001 | 12 | | | P001 | 2019-09-02 09:04:26 |
| 41989 | 0 | 1567386270 | 1567386243.12000 | 4002 | RINGNOANSWER | | Team 2 142 | | | 15000 | | | | | P001 | 2019-09-02 09:04:30 |
| 41990 | 0 | 1567386279 | 1567386243.12000 | 4002 | CONNECT | | Jace Yeo | | | 24 | 1567386275.12007 | 4 | | | P001 | 2019-09-02 09:04:39 |
| 41991 | 0 | 1567386292 | 1567386242.11999 | 4002 | COMPLETEAGENT | | Catherine Chia | | | 12 | 26 | 1 | | | P001 | 2019-09-02 09:04:52 |
+-------+-----+------------+------------------+-------+----------------+-----------+----------------+-------+------+----------+------------------+-------+-------+-------+-----------+---------------------+
$

and expected results here below

+------------------+----------+--------+-------+------+-------+
| call_id | did | status | queue | verb | agent |
+------------------+----------+--------+-------+------+-------+
| 1567386027.11981 | 63897811 | Missed | 4001 | DID | NULL |
| 1567386092.11985 | 63897815 | Missed | 4003 | DID | NULL |
| 1567386095.11986 | 63897817 | Missed | 4004 | DID | NULL |
| 1567386242.11999 | 63897813 | Missed | 4002 | DID | NULL |
| 1567386243.12000 | 63897813 | Missed | 4002 | DID | NULL |
| 1567386337.12010 | 63897813 | Missed | 4002 | DID | NULL |
+------------------+----------+--------+-------+------+-------+


最佳答案

您的示例数据问题和预期结果与我不符。我的猜测是,总是有 1 个连接,但可能有多个连接或没有连接。稍微修改您的示例数据

drop table if exists t;
create table t
( id int, idd int, time_id varchar(20), call_id varchar(30), queue int, verb varchar(20), queuename varchar(20), agent varchar(20),
event varchar(20), data varchar(20), data1 varchar(20), data2 varchar(20), data3 varchar(20),
data4 varchar(20), data5 varchar(20), `partition` varchar(20), created datetime);
insert into t values
( 41972 , 0 , '1567386039' , '1567386027.11981' , 4001 , 'DID' ,null , 'NONE' ,null ,null , '63897811' , null ,null ,null ,null , 'p001' , '2019-09-02 09:00:39') ,
( 41973 , 0 , '1567386039' , '1567386027.11981' , 4001 , 'ENTERQUEUE' ,null , 'NONE' ,null ,null ,null , '63038768' , '1' ,null ,null , 'p001' , '2019-09-02 09:00:39') ,
( 41974 , 0 , '1567386049' , '1567386027.11981' , 4001 , 'CONNECT' ,null , 'SIP/135' ,null ,null , '10' , '1567386039.11982' , '10' ,null ,null , 'p001' , '2019-09-02 09:00:50') ,
( 41975 , 0 , '1567386095' , '1567386027.11981' , 4001 , 'COMPLETEAGENT' ,null , 'SIP/135' ,null ,null , '10' , '46' , '1' ,null ,null , 'p001' , '2019-09-02 09:01:35') ,
( 41976 , 0 , '1567386104' , '1567386092.11985' , 4003 , 'DID' ,null , 'NONE' ,null ,null , '63897815' , null ,null ,null ,null , 'p001' , '2019-09-02 09:01:44') ,
( 41977 , 0 , '1567386104' , '1567386092.11985' , 4003 , 'ENTERQUEUE' ,null , 'NONE' ,null ,null ,null , '63045831' , '1' ,null ,null , 'p001' , '2019-09-02 09:01:44') ,
( 41978 , 0 , '1567386107' , '1567386095.11986' , 4004 , 'DID' ,null , 'NONE' ,null ,null , '63897817' , null ,null ,null ,null , 'p001' , '2019-09-02 09:01:47') ,
( 41979 , 0 , '1567386107' , '1567386095.11986' , 4004 , 'ENTERQUEUE' ,null , 'NONE' ,null ,null ,null , '67379922' , '1' ,null ,null , 'p001' , '2019-09-02 09:01:47') ,
( 41980 , 0 , '1567386109' , '1567386092.11985' , 4003 , 'CONNECT' ,null , 'Christine Nah' ,null ,null , '5' , '1567386104.11987' , '4' ,null ,null , 'p001' , '2019-09-02 09:01:49') ,
( 41981 , 0 , '1567386116' , '1567386095.11986' , 4004 , 'CONNECT' ,null , 'Helen Ang' ,null ,null , '9' , '1567386107.11990' , '9' ,null ,null , 'p001' , '2019-09-02 09:01:56') ,
( 41982 , 0 , '1567386147' , '1567386095.11986' , 4004 , 'COMPLETEAGENT' ,null , 'Helen Ang' ,null ,null , '9' , '31' , '1' ,null ,null , 'p001' , '2019-09-02 09:02:27') ,
( 41983 , 0 , '1567386155' , '1567386092.11985' , 4003 , 'COMPLETECALLER' ,null , 'Christine Nah' ,null ,null , '5' , '46' , '1' ,null ,null , 'p001' , '2019-09-02 09:02:35') ,
( 41984 , 0 , '1567386254' , '1567386242.11999' , 4002 , 'DID' ,null , 'NONE' ,null ,null , '63897813' , null ,null ,null ,null , 'p001' , '2019-09-02 09:04:14') ,
( 41985 , 0 , '1567386254' , '1567386242.11999' , 4002 , 'ENTERQUEUE' ,null , 'NONE' ,null ,null ,null , '66438001' , '1' ,null ,null , 'p001' , '2019-09-02 09:04:14') ,
( 41986 , 0 , '1567386255' , '1567386243.12000' , 4002 , 'DID' ,null , 'NONE' ,null ,null , '63897813' , null ,null ,null ,null , 'p001' , '2019-09-02 09:04:15') ,
( 41987 , 0 , '1567386255' , '1567386243.12000' , 4002 , 'ENTERQUEUE' ,null , 'NONE' ,null ,null ,null , '62168443' , '2' ,null ,null , 'p001' , '2019-09-02 09:04:15') ,
( 41988 , 0 , '1567386266' , '1567386242.11999' , 4002 , 'CONNECT' ,null , 'Catherine Chia' ,null ,null , '12' , '1567386254.12001' , '12' ,null ,null , 'p001' , '2019-09-02 09:04:26') ,
( 41989 , 0 , '1567386266' , '1567386242.11999' , 4002 , 'CONNECT' ,null , 'abc' ,null ,null , '12' , '1567386254.12001' , '12' ,null ,null , 'p001' , '2019-09-02 09:04:26') ,
( 41990 , 0 , '1567386270' , '1567386243.12000' , 4002 , 'RINGNOANSWER' ,null , 'Team 2 142' ,null ,null , '15000' , null ,null ,null ,null , 'p001' , '2019-09-02 09:04:30') ;
#( 41991 , 0 , '1567386279' , '1567386243.12000' , 4002 , 'CONNECT' ,null , 'Jace Yeo' ,null ,null , '24' , '1567386275.12007' , '4' ,null ,null , 'p001' , '2019-09-02 09:04:39') ,
#( 41992 , 0 , '1567386292' , '1567386242.11999' , 4002 , 'COMPLETEAGENT' ,null , 'Catherine Chia' ,null ,null , '12' , '26' , '1' ,null ,null , 'p001' , '2019-09-02 09:04:52');

我添加了一个到 1567386242.11999 的附加连接,并从 1567386243.12000 删除了连接。此查询使用左连接将 did 连接到最近的连接。

select t.call_id,t.verb,t.data1,t.queue,
case when s.verb is null then 'missed'
else 'Answered'
end as status,
case when s.verb is not null then s.agent end as agent
from t
left join
(select t.*
from t
where id = (select max(id) from t t1 where t1.call_id = t.call_id and t1.verb = 'connect')
) s on s.call_id = t.call_id
where t.verb = 'did';

+------------------+------+----------+-------+----------+---------------+
| call_id | verb | data1 | queue | status | agent |
+------------------+------+----------+-------+----------+---------------+
| 1567386027.11981 | DID | 63897811 | 4001 | Answered | SIP/135 |
| 1567386092.11985 | DID | 63897815 | 4003 | Answered | Christine Nah |
| 1567386095.11986 | DID | 63897817 | 4004 | Answered | Helen Ang |
| 1567386242.11999 | DID | 63897813 | 4002 | Answered | abc |
| 1567386243.12000 | DID | 63897813 | 4002 | missed | NULL |
+------------------+------+----------+-------+----------+---------------+
5 rows in set (0.01 sec)

鉴于我对问题的理解,这是我所期望的

关于Mysql 查询没有给出 group by 的预期结果,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57865664/

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