我们在表客户中有两列,其中我们有客户ID和服务ID。因此,每个使用多种服务的客户,我们都必须找到客户使用的连续服务的最大数量。
create table customer(id int not null auto_increment,customerid varchar(20), serviceid varchar(20),primary key(id));
insert into customer(customerid,serviceid) values('Nitesh','Mobile');
insert into customer(customerid,serviceid) values('Nitesh','Mobile');
insert into customer(customerid,serviceid) values('Nitesh','Landline');
insert into customer(customerid,serviceid) values('Nitesh','Broadband');
insert into customer(customerid,serviceid) values('Nitesh','Mobile');
insert into customer(customerid,serviceid) values('Nishant','Mobile');
insert into customer(customerid,serviceid) values('Nishant','Landline');
insert into customer(customerid,serviceid) values('Nishant','Landline');
insert into customer(customerid,serviceid) values('Nishant','Landline');
insert into customer(customerid,serviceid) values('Nishant','Broadband');
insert into customer(customerid,serviceid) values('Soe','Mobile');
insert into customer(customerid,serviceid) values('Soe','Mobile');
insert into customer(customerid,serviceid) values('Soe','Landline');
insert into customer(customerid,serviceid) values('Soe','Broadband');
insert into customer(customerid,serviceid) values('Soe','Mobile');
我必须连续计算客户使用的最大服务。
输出:
Customerid|Serviceid|ServiceidCount
----------------------------------
Nitesh|Mobile|2
Nishant|Landline|3
Soe|Mobile|2
答案 0 :(得分:0)
我假设你有一个指定排序的列,比如id
。
然后你可以使用变量来做到这一点:
select customer, max(rn) as serviceidcnt,
substring_index(group_concat(serviceid order by rn desc)) as serviceid
from (select c.*,
(@rn := if(@cs = concat_ws(':', customerid, serviceid), @rn + 1,
if(@cs := concat_ws(':', customerid, serviceid), 1, 1)
)
) as rn
from customer c cross join
(select @rn := 0, @cs := '') params
order by c.customer, ??
) cs
group by customer;
??
用于订购的列。
注意:获取服务ID需要使用依赖于group_concat()
的MySQL“hack”。默认情况下,这限制为大约1000字节的内部缓冲区大小。这可以改变。
答案 1 :(得分:0)
更新版本
您可以尝试以下查询。它使用mysql变量来检查列 customerid 和 serviceid 中的连续更改。
SELECT customerid, serviceid, MAX(R)+1 AS ServiceIdCount
FROM (SELECT c.customerid, c.serviceid
, CASE WHEN @s=CONCAT(customerid,'|',serviceid) THEN @r:=@r+1 ELSE @r:=0 END AS R
, @s:=CONCAT(customerid,'|',serviceid) AS S
FROM customer c
CROSS JOIN (SELECT @r:=0, @s:='') d
ORDER BY id
) e
WHERE R>0
GROUP BY customerid, serviceid;
添加了样本数据(不是你的):
insert into customer(customerid,serviceid) values('Mark','Mobile');
insert into customer(customerid,serviceid) values('Mark','Mobile');
insert into customer(customerid,serviceid) values('Mark','Mobile');
insert into customer(customerid,serviceid) values('Mark','Landline');
insert into customer(customerid,serviceid) values('Mark','Mobile');
insert into customer(customerid,serviceid) values('Mark','Mobile');
输出:
+------------+-----------+----------------+
| customerid | serviceid | ServiceIdCount |
+------------+-----------+----------------+
| Mark | Mobile | 3 |
| Nishant | Landline | 3 |
| Nitesh | Mobile | 2 |
| Soe | Mobile | 2 |
+------------+-----------+----------------+