hivesql连续日期统计最大逾期/未逾期案例

1、虚表(测试表和数据) create test_table as

select a.cust_no, a.r_date, a.yqts from (

select '123' as cust_no, '20231101' as r_date, 0 as yqts

union all

select '123' as cust_no, '20231102' as r_date, 1 as yqts

union all

select '123' as cust_no, '20231103' as r_date, 2 as yqts

union all

select '123' as cust_no, '20231104' as r_date, 3 as yqts

union all

select '123' as cust_no, '20231105' as r_date, 0 as yqts

union all

select '123' as cust_no, '20231106' as r_date, 0 as yqts

union all

select '123' as cust_no, '20231107' as r_date, 1 as yqts

) a

2、加入有表test_table,数据如上,0标识未逾期,1标识逾期,求连续最大无逾期和逾期的天数,以上数据可直接看出最大连续逾期天数为3、未逾期未2。

3、首先将测试数据排序,让数据连续

select a.cust_no, a.r_date, a.yqts from test_table a where 1=1 order by a.cust_no, a.r_date asc

4、将数据分组并给是否逾期打上标识1逾期,2未逾期,多行转一行

select tx.cust_no, count(distinct tx.r_date) as sum_ctn, concat_ws('',collection_list(case when cast(tx.yqts as double) > 0 then '1' else '2' end)) as sfflag from (

select a.cust_no, a.r_date, a.yqts from test_table a where 1=1 order by a.cust_no, a.r_date asc

) tx

执行结果:

cust_no sum_ctn sfflag

123 7 2111221

5、使用正则表达式分别替换,2111221改字符串中包含逾期和未逾期,将逾期1*都用A替换掉(同时也是分割符),剩下就是未逾期的,逾期的同理

select ty.cust_no, ty.sum_ctn, regexp_replace(ty.sfflag, '\2+', 'A') as yqflag, regexp_replace(ty.sfflag, '\1+', 'A') as wyqflag from (

'123' as cust_no 7 as sum_ctn '2111221' as sfflag

) ty

执行结果:

cust_no sum_ctn yqflag wyqflag

123 7 A111A1 2A22A

6、使用炸裂函数explode结合lateral view将数据拆分未多行,使用一次lateral view会生成一次虚表

select tz.cust_no, max(sum_ctn) as sum_ctn, max(length(yqlength)) as yqlength, max(length(wyqlength)) as wyqlength from (

123 as cust_no 7 as sum_ctn A111A1 as yqflag 2A22A as wyqflag

) tz

lateral view explode(split(yqflag,'A')) tb1 as yqlength

lateral view explode(split(wyqflag,'A')) tb2 as wyqlength

group by tz.cust_no

相关推荐
凌辰揽月3 小时前
Servlet学习
hive·学习·servlet
先睡5 小时前
优化MySQL查询
数据库·sql
古月居GYH9 小时前
【数据分析】如何在PyCharm中高效配置和使用SQL
ide·sql·pycharm
weixin_3077791314 小时前
Hive集群之间迁移的Linux Shell脚本
大数据·linux·hive·bash·迁移学习
程序员张317 小时前
SQL分析与打印-p6spy组件
spring boot·sql·mybatis·mybatisplus·p6spy
Aurora_NeAr19 小时前
Spark SQL架构及高级用法
大数据·后端·spark
王小王-12319 小时前
基于Hadoop的公共自行车数据分布式存储和计算平台的设计与实现
大数据·hive·hadoop·分布式·hadoop公共自行车·共享单车大数据分析·hadoop共享单车
RainbowSea1 天前
15. MySQL 多版本并发控制
java·sql·mysql
桂成林1 天前
Hive UDF 开发实战:MD5 哈希函数实现
hive·hadoop·哈希算法