MsSql

关注公众号 jb51net

关闭
首页 > 数据库 > MsSql > SQL 车流量

使用SQL实现车流量的计算的示例代码

作者:每日小新

本文主要介绍了使用SQL实现车流量的计算的示例代码,文中通过示例代码介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们可以参考一下

卡口转换率

将数据导入hive,通过SparkSql编写sql,实现不同业务的数据计算实现,主要讲述车辆卡口转换率,卡口转化率:主要计算不同卡口下车辆之间的流向,求出之间的转换率。

在这里插入图片描述

1、查出每个地区下每个路段下的车流量

select
	car,
	monitor_id,
	action_time,
	ROW_NUMBER () OVER (PARTITION by car
ORDER by
	action_time) as n1
FROM
	traffic.hive_flow_action

此结果做为表1,方便后面错位连接使用

在这里插入图片描述

2、通过错位连接获取每辆车的行车记录

通过表1的结果,与自身进行错位链接,并以车牌为分区,拼接经过卡口的过程

(select
	t1.car,
	t1.monitor_id,
	concat(t1.monitor_id,
	"->",
	t2.monitor_id) as way
from
	(
	select
		car,
		monitor_id,
		action_time,
		ROW_NUMBER () OVER (PARTITION by car
	ORDER by
		action_time) as n1
	FROM
		traffic.hive_flow_action) t1
left join (
	select
		car,
		monitor_id,
		action_time,
		ROW_NUMBER () OVER (PARTITION by car
	ORDER by
		action_time) as n1
	FROM
		traffic.hive_flow_action) t2 on
	t1.car = t2.car
	and t1.n1 = t2.n1-1
where
	t2.action_time is not null)

在这里插入图片描述

获取到每辆车的一个行车记录,经过的卡口

3、获取行车过程中的车辆数

获取卡口1~卡口2,…等的车辆数有哪些,即拿上面的行车记录字段进行分区在进行统计

(select
	s1.way,
	COUNT(1) sumCar
from
	--行车过程
(select
		t1.car,
		t1.monitor_id,
		concat(t1.monitor_id,
		"->",
		t2.monitor_id) as way
	from
		(
		select
			car,
			monitor_id,
			action_time,
			ROW_NUMBER () OVER (PARTITION by car
		ORDER by
			action_time) as n1
		FROM
			traffic.hive_flow_action) t1
	left join (
		select
			car,
			monitor_id,
			action_time,
			ROW_NUMBER () OVER (PARTITION by car
		ORDER by
			action_time) as n1
		FROM
			traffic.hive_flow_action) t2 on
		t1.car = t2.car
		and t1.n1 = t2.n1-1
	where
		t2.action_time is not null)s1
group by way)

在这里插入图片描述

4、获取每个卡口的总车辆数

获取每个卡口最初的车辆数,方便后面拿行车轨迹车辆数/总车辆数,得出卡口之间的转换率

select
	monitor_id ,
	COUNT(1) sumall
from
	traffic.hive_flow_action
group by
	monitor_id

在这里插入图片描述

5、求出卡口之间的转换率

select
	s2.way,
	s2.sumCar / s3.sumall zhl
from
	(
	select
		s1.way,
		COUNT(1) sumCar
	from
		--行车过程
(
		select
			t1.car,
			t1.monitor_id,
			concat(t1.monitor_id,
			"->",
			t2.monitor_id) as way
		from
			(
			select
				car,
				monitor_id,
				action_time,
				ROW_NUMBER () OVER (PARTITION by car
			ORDER by
				action_time) as n1
			FROM
				traffic.hive_flow_action) t1
		left join (
			select
				car,
				monitor_id,
				action_time,
				ROW_NUMBER () OVER (PARTITION by car
			ORDER by
				action_time) as n1
			FROM
				traffic.hive_flow_action) t2 on
			t1.car = t2.car
			and t1.n1 = t2.n1-1
		where
			t2.action_time is not null)s1
	group by
		way)s2
left join
	--每个卡口总车数
(
	select
		monitor_id ,
		COUNT(1) sumall
	from
		traffic.hive_flow_action
	group by
		monitor_id) s3 on
	split(s2.way,
	"->")[0]= s3.monitor_id

在这里插入图片描述

 到此这篇关于使用SQL实现车流量的计算的示例代码的文章就介绍到这了,更多相关SQL 车流量内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

您可能感兴趣的文章:
阅读全文