hive lateral view语句

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。

一个简单的例子,假设我们有一张表pageAds,它有两列数据,第一列是pageid string,第二列是adid_list,即用逗号分隔的广告ID集合:

string pageidArray<int> adid_list
"front_page"[1, 2, 3]
"contact_page"[3, 4, 5]

 

要统计所有广告ID在所有页面中出现的次数。

首先分拆广告ID:

 

SELECT pageid, adid 
	FROM pageAds LATERAL VIEW explode(adid_list) adTable AS adid;

 

执行结果如下:

string pageidint adid
"front_page"1
"front_page"2
"front_page"3
"contact_page"3
"contact_page"4
"contact_page"5

 

接下来就是一个聚合的统计:

 

SELECT adid, count(1) 
	FROM pageAds LATERAL VIEW explode(adid_list) adTable AS adid
GROUP BY adid;

执行结果如下:
int adidcount(1)
11
21
32
41
51
多个lateral view语句:
一个FROM语句后可以跟多个lateral view语句,后面的lateral view语句能够引用它前面的所有表和列名。
以下面的表为例:
Array<int> col1Array<string> col2
[1, 2][a", "b", "c"]
[3, 4][d", "e", "f"]
SELECT myCol1, col2 FROM baseTable
	LATERAL VIEW explode(col1) myTable1 AS myCol1;
的执行结果为:
int mycol1Array<string> col2
1[a", "b", "c"]
2[a", "b", "c"]
3[d", "e", "f"]
4[d", "e", "f"]
加上一个lateral view:
SELECT myCol1, myCol2 FROM baseTable
	LATERAL VIEW explode(col1) myTable1 AS myCol1
	LATERAL VIEW explode(col2) myTable2 AS myCol2;
它的执行结果为:
int myCol1string myCol2
1"a"
1"b"
1"c"
2"a"
2"b"
2"c"
3"d"
3"e"
3"f"
4"d"
4"e"
4"f"

注意上面语句中,两个lateral view按照出现的次序被执行。

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