Hive的隐式连接总是内部连接吗?

时间:2017-10-19 21:25:25

标签: hadoop join hive hiveql

Hive的join documentation鼓励使用隐式连接,即

SELECT * 
FROM table1 t1, table2 t2, table3 t3 
WHERE t1.id = t2.id AND t2.id = t3.id AND t1.zipcode = '02535';

这相当于

SELECT t1.*, t2.*, t3.*
FROM table1 t1
INNER JOIN table2 t2 ON
  t1.id = t2.id 
INNER JOIN table3 t3 ON
  t2.id = t3.id
WHERE t1.zipcode = '02535'

,或者上面会返回额外的记录吗?

1 个答案:

答案 0 :(得分:2)

并非总是如此。您的查询是等效的。但如果没有WHERE t1.id = t2.id AND t2.id = t3.id,它将是CROSS JOIN

更新

这是一个有趣的问题,我决定添加一些演示。让我们创建两个表:

A(c1 int, c2 string)B(c1 int, c2 string)

加载数据:

insert into table A
 select 1, 'row one' union all
 select 2, 'row two';

insert into table B
 select 1, 'row one' union all
 select 3, 'row three';

检查数据:

hive> select * from A;
OK
1       row one
2       row two
Time taken: 1.29 seconds, Fetched: 2 row(s)
hive> select * from B;
OK
1       row one
3       row three
Time taken: 0.091 seconds, Fetched: 2 row(s)

检查交叉联接(不将where转换为交叉的隐式联接):

hive> select a.c1, a.c2, b.c1, b.c2 from a,b;
Warning: Map Join MAPJOIN[14][bigTable=a] in task 'Stage-3:MAPRED' is a cross product
Warning: Map Join MAPJOIN[22][bigTable=b] in task 'Stage-4:MAPRED' is a cross product
Warning: Shuffle Join JOIN[4][tables = [a, b]] in Stage 'Stage-1:MAPRED' is a cross product

OK
1       row one 1       row one
2       row two 1       row one
1       row one 3       row three
2       row two 3       row three
Time taken: 54.804 seconds, Fetched: 4 row(s)

检查内部联接(where的隐式联接作为INNER):

hive> select a.c1, a.c2, b.c1, b.c2 from a,b where a.c1=b.c1;
OK
1       row one 1       row one
Time taken: 38.413 seconds, Fetched: 1 row(s)

尝试通过将OR b.c1 is null添加到where:

来执行左连接
hive> select a.c1, a.c2, b.c1, b.c2 from a,b where (a.c1=b.c1) OR (b.c1 is null);
OK
1       row one 1       row one
Time taken: 57.317 seconds, Fetched: 1 row(s)

正如您所看到的,我们再次获得内部联接。 or b.c1 is null被忽略

现在left join没有whereON子句(转换为CROSS):

 select a.c1, a.c2, b.c1, b.c2 from a left join b;
OK
1       row one 1       row one
1       row one 3       row three
2       row two 1       row one
2       row two 3       row three
Time taken: 37.104 seconds, Fetched: 4 row(s)

你可以看到我们再次交叉。

使用where子句尝试左连接,不使用ON(作为INNER):

select a.c1, a.c2, b.c1, b.c2 from a left join b where a.c1=b.c1;
OK
1       row one 1       row one
Time taken: 40.617 seconds, Fetched: 1 row(s)

我们获得了INNER加入

使用where子句尝试左连接,不使用ON +尝试允许空值:

 select a.c1, a.c2, b.c1, b.c2 from a left join b where a.c1=b.c1 or b.c1 is null;
OK
1       row one 1       row one
Time taken: 53.873 seconds, Fetched: 1 row(s)

再次得到INNER。或b.c1 is null被忽略。

使用on子句进行左连接:

hive> select a.c1, a.c2, b.c1, b.c2 from a left join b on a.c1=b.c1;
OK
1       row one 1       row one
2       row two NULL    NULL
Time taken: 48.626 seconds, Fetched: 2 row(s)

是的,这是真正的左连接。

on + where进行左联接(获得INNER):

hive> select a.c1, a.c2, b.c1, b.c2 from a left join b on a.c1=b.c1 where a.c1=b.c1;
OK
1       row one 1       row one
Time taken: 49.54 seconds, Fetched: 1 row(s)

我们得到了INNER,因为WHERE不允许使用NULLS。

左边连接,其中+允许空值:

hive> select a.c1, a.c2, b.c1, b.c2 from a left join b on a.c1=b.c1 where a.c1=b.c1 or b.c1 is null;
OK
1       row one 1       row one
2       row two NULL    NULL
Time taken: 55.951 seconds, Fetched: 2 row(s)

是的,它会被加入。

结论:

  1. 如果没有WHERE,隐式连接将作为INNNER(在哪里)或CROSS     条款。
  2. 如果没有ON和没有WHERE,左连接可以作为CROSS工作,如果WHERE子句不允许空值,也可以作为INNER工作 为了正确     表
  3. 更好地使用ANSI语法,因为它是自我解释的,并且很容易理解您期望它的工作方式。以INNER或CROSS工作的隐式连接或左连接很难理解,很容易出错。