hive和presto的求数组长度函数区别及注意事项

1、任务

获取邮箱字符串'@'后字符串 ,求长度

2、hive & spark-sql 求数组长度的函数 size

sql 复制代码
hive & spark-sql 求数组长度的函数 size


select size(split(email, '@')),split(email, '@'),split(email, '@')[0],split(email, '@')[1]
FROM 
(select "jack@126.com" as email union select "tom@126.com.cn" as email) tb_mid;

select size(split(email, '@')),split(email, '@'),split(email, '@')[0],split(email, '@')[1]
FROM 
(select 'jack@126.com' as email union select 'tom@126.com.cn' as email) tb_mid;


2	["tom","126.com.cn"]	tom	126.com.cn
2	["jack","126.com"]	jack	126.com
Time taken: 0.723 seconds, Fetched 2 row(s)

3、presto 求数组长度的函数 cardinality

sql 复制代码
presto  求数组长度的函数 cardinality

select cardinality(split(email, '@')),split(email, '@'),split(email, '@')[1],split(email, '@')[2]
FROM 
(select 'jack@126.com' as email union select 'tom@126.com.cn' as email) tb_mid;

_col0 |       _col1       | _col2 |   _col3    
-------+-------------------+-------+------------
     2 | [tom, 126.com.cn] | tom   | 126.com.cn 
     2 | [jack, 126.com]   | jack  | 126.com    
(2 rows)


select cardinality(split(email, '@')),split(email, '@'),split(email, '@')[1],split(email, '@')[2]
FROM 
(select "jack@126.com" as email union select "tom@126.com.cn" as email) tb_mid;


Query 20231019_070945_20009_n9u2s failed: line 3:9: Column 'jack@126.com' cannot be resolved
select cardinality(split(email, '@')),split(email, '@'),split(email, '@')[1],split(email, '@')[2]
FROM
(select "jack@126.com" as email union select "tom@126.com.cn" as email) tb_mid

4、注意事项

1)、在计算数组长度的时候,hive和presto的函数不同

其中hive的size函数默认数组的下标从0开始

presto的cardinality函数默认数组的下标从1开始

2)、presto 不支持双引号 ,而hive 既支持单引号,也支持双引号

sql 复制代码
presto> SELECT 
     -> email,
     -> (case when cardinality(split(email, '@')) = 2 then split(email, '@')[1] else '' end ) as email_suffix
     -> FROM 
     -> (select "jack@126.com" as email union select "tom@126.com.cn" as email) tb_mid;
Query 20231016_070153_17958_p9f2s failed: line 5:9: Column 'jack@126.com' cannot be resolved
SELECT
email,
(case when cardinality(split(email, '@')) = 2 then split(email, '@')[1] else '' end ) as email_suffix
FROM
(select "jack@126.com" as email union select "tom@126.com.cn" as email) tb_mid
相关推荐
曹牧1 天前
Java Web 开发:servlet-mapping‌
java·数据仓库·hive·hadoop
隐于花海,等待花开4 天前
18.TRUNC / LAST_DAY / NEXT_DAY 函数深度解析
大数据·hive
隐于花海,等待花开4 天前
17.DATE_FORMAT 函数深度解析
大数据·hive
隐于花海,等待花开4 天前
15.TO_DATE 函数深度解析
大数据·hive
YJlio5 天前
1 4.1 微软商店的使用(Microsoft Store:下载/安装/管理应用与游戏)
运维·hive·hadoop·windows·游戏·microsoft·计算机外设
看海的四叔5 天前
【SQL】SQL的日期与时间函数
数据库·hive·sql·数据分析·时间函数·日期函数
看海的四叔5 天前
【SQL】SQL-常见窗口函数有哪些-上篇
数据库·hive·sql·mysql·数据分析·窗口函数
It's Q6 天前
hive学习分区&&函数
hive·hadoop·学习
隐于花海,等待花开6 天前
5.TRIM / LTRIM / RTRIM 函数深度解析
大数据·hive
菜鸟小码7 天前
Hive数据模型、架构、表类型与优化策略
hive·hadoop·架构