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
肌肉娃子2 天前
20260227.spark.Spark 性能刺客:千万别在 for 循环里写 withColumn
spark
B站计算机毕业设计超人3 天前
计算机毕业设计Django+Vue.js音乐推荐系统 音乐可视化 大数据毕业设计 (源码+文档+PPT+讲解)
大数据·vue.js·hadoop·python·spark·django·课程设计
tryCbest3 天前
数据库SQL学习
数据库·sql
十月南城3 天前
数据湖技术对比——Iceberg、Hudi、Delta的表格格式与维护策略
大数据·数据库·数据仓库·hive·hadoop·spark
王九思3 天前
Hive Thrift Server 介绍
数据仓库·hive·hadoop
cowboy2583 天前
mysql5.7及以下版本查询所有后代值(包括本身)
数据库·sql
努力的lpp3 天前
SQL 报错注入
数据库·sql·web安全·网络安全·sql注入
麦聪聊数据3 天前
统一 Web SQL 平台如何收编企业内部的“野生数据看板”?
数据库·sql·低代码·微服务·架构
山峰哥3 天前
吃透 SQL 优化:告别慢查询,解锁数据库高性能
服务器·数据库·sql·oracle·性能优化·编辑器
Asher05093 天前
Hive核心知识:从基础到实战全解析
数据仓库·hive·hadoop