题目：

现有城市网吧访问数据，字段：网吧id，访客id（身份证号），上线时间，下线时间
规则1、如果有两个用户在一家网吧的前后上下线时间在10分钟以内，则两人可能认识
规则2、如果这两个用户在三家以上网吧出现【规则1】的情况，则两人一定认识
需求：
该城市上网用户中两人一定认识的组合数
该题可以选用自己擅长的任何技术来解决，可以是JAVA、Python、C、C++编程语言，也可以是Hadoop，Spark大数据工具

参考答案：

数据库版本：Server version: 8.0.20 MySQL Community Server - GPL

建表语句

create table test_network_bar_info(
    bar_id int comment '网吧id',
    user_id int comment '访客id-身份证号',
    login_time timestamp comment '上线时间',
    logout_time timestamp comment '下线时间'
);

数据准备

insert into test_network_bar_info values (1,110001,'2020-01-01 12:10:00','2020-01-01 12:30:00');
insert into test_network_bar_info values (1,110001,'2020-01-01 12:35:00','2020-01-01 12:40:00');
insert into test_network_bar_info values (1,110002,'2020-01-01 12:50:00','2020-01-01 12:55:00');
insert into test_network_bar_info values (1,110001,'2020-01-01 13:00:00','2020-01-01 13:10:00');
insert into test_network_bar_info values (1,110003,'2020-01-01 12:15:00','2020-01-01 13:15:00');

insert into test_network_bar_info values (2,110001,'2020-01-02 12:10:00','2020-01-02 12:30:00');
insert into test_network_bar_info values (2,110001,'2020-01-02 12:35:00','2020-01-02 12:40:00');
insert into test_network_bar_info values (2,110001,'2020-01-02 12:50:00','2020-01-02 12:55:00');
insert into test_network_bar_info values (2,110002,'2020-01-02 13:00:00','2020-01-02 13:10:00');

insert into test_network_bar_info values (3,110001,'2020-01-03 12:10:00','2020-01-03 12:30:00');
insert into test_network_bar_info values (3,110003,'2020-01-03 12:15:00','2020-01-03 12:40:00');
insert into test_network_bar_info values (3,110001,'2020-01-03 12:50:00','2020-01-03 12:55:00');
insert into test_network_bar_info values (3,110002,'2020-01-03 13:00:00','2020-01-03 13:10:00');

查询逻辑

select
    C.user_group,
    COUNT(DISTINCT C.bar_id)
from
(select
    distinct
    A.bar_id,
    case when A.user_id > B.user_id then CONCAT(B.user_id,A.user_id)
    when A.user_id < B.user_id then CONCAT(A.user_id,B.user_id)
    else 'NA' end as user_group
from
(select
    bar_id,
    user_id,
    login_time,
    logout_time
from test_network_bar_info)A
inner join
(select
    bar_id,
    user_id,
    login_time,
    logout_time
from test_network_bar_info)B
on A.bar_id = B.bar_id
and A.user_id <> B.user_id
and (ABS(timestampdiff(second ,A.login_time,B.login_time)) <= 600
         or ABS(timestampdiff(second ,A.logout_time,B.logout_time)) <= 600))C
GROUP BY C.user_group;

https://blog.csdn.net/weixin_43619485/java/article/details/107164729