Hive之explode()函数和posexplode()函数和lateral view函数

目录

1、explode()函数

英文释义：
explode() takes in an array (or a map) as an input and outputs the elements of the array (map) as separate rows. UDTFs can be used in the SELECT expression list and as a part of LATERAL VIEW.

As an example of using explode() in the SELECT expression list, consider a table named myTable that has a single column (myCol) and two rows:
总结：explode就是将hive一行中复杂的array或者map结构拆分成多行
举例：

hive>withtempas(select'2:00,3:00,4:00,5:00'as examp_data)selectdatafromtemp
lateral view explode(split(examp_data,',')) view1 asdata;2:003:004:005:00

思考：现在是一列，如果是两列呢？

hive>withtempas(select'a,b,c,d'as examp_data1,'2:00,3:00,4:00,5:00'as examp_data2)select
data1
,data2
fromtemp
lateral view explode(split(examp_data1,',')) view1 as data1
lateral view explode(split(examp_data2,',')) view1 as data2
data1,data2
a,2:00
a,3:00
a,4:00
a,5:00
b,2:00
b,3:00
b,4:00
b,5:00
c,2:00
c,3:00
c,4:00
c,5:00
d,2:00
d,3:00
d,4:00
d,5:00

显然和我们想象的是有出入的，我们想让’a,b,c,d’和’2:00,3:00,4:00,5:00’一一对应该如何实现呢？

2、posexplode()函数

特点是不仅炸裂出数值，还附带索引，实现多列进行多行转换；
上述的例子可以通过posexplode()函数实现；
示例如下：

hive>withtempas(select'a,b,c,d'as examp_data1,'2:00,3:00,4:00,5:00'as examp_data2)select
data1
,data2
fromtemp
lateral view posexplode(split(examp_data1,',')) view1 as index1,data1
lateral view posexplode(split(examp_data2,',')) view1 as index2,data2
where index1=index2
data1,data2
a,2:00
b,3:00
c,4:00
d,5:00

3、lateral view函数

英文解释：
Lateral View Syntax
lateralView: LATERAL VIEW udtf(expression) tableAlias AS columnAlias (’,’ columnAlias)*
fromClause: FROM baseTable (lateralView)*

Description
Lateral view is used in conjunction with user-defined table generating functions such as explode(). As mentioned in Built-in Table-Generating Functions, a UDTF generates zero or more output rows for each input row. A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias.

lateral view用于和split, explode等UDTF一起使用，它能够将一列数据拆成多行数据，在此基础上可以对拆分后的数据进行聚合；
1、Lateral View用于和UDTF函数（explode、split）结合来使用

2、首先通过UDTF函数拆分成多行，再将多行结果组合成一个支持别名的虚拟表

3、主要解决在select使用UDTF做查询过程中，查询只能包含单个UDTF，不能包含其他字段、以及多个UDTF的问题

4、语法：LATERAL VIEW udtf(expression) tableAlias AS columnAlias (’,’ columnAlias)
上面已举例，不在重复；