Hive中的Predicate Pushdown Rules(谓词下推规则)

版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/strongyoung88/article/details/81156271

谓词下推概念

谓词下推 Predicate Pushdown(PPD):简而言之,就是在不影响结果的情况下,尽量将过滤条件提前执行。谓词下推后,过滤条件在map端执行,减少了map端的输出,降低了数据在集群上传输的量,节约了集群的资源,也提升了任务的性能。

PPD 配置

PPD控制参数:hive.optimize.ppd

  • Default Value: true
  • Added In: Hive 0.4.0

相关定义

  • Preserved Row table

The table in an Outer Join that must return all rows.
For left outer joins this is the Left table, for right outer joins it is the Right table, and for full outer joins both tables are Preserved Row tables.

  • Null Supplying table

This is the table that has nulls filled in for its columns in unmatched rows.
In the non-full outer join case, this is the other table in the Join. For full outer joins both tables are also Null Supplying tables.

  • During Join predicate

A predicate that is in the JOIN ON clause.
For example, in ‘R1 join R2 on R1.x = 5’ the predicate ‘R1.x = 5’ is a During Join predicate.

  • After Join predicate

A predicate that is in the WHERE clause.

PPD规则:

规则的逻辑描述如下:

  • During Join predicates cannot be pushed past Preserved Row tables.
  • After Join predicates cannot be pushed past Null Supplying tables.

以表格的形式描述如下:

- Preserved Row tables Null Supplying tables
Join Predicate Case J1: Not Pushed Case J2: Pushed
Where Predicate Case W1: Pushed Case W2: Not Pushed

Push:谓词下推,可以理解为被优化
Not Push:谓词没有下推,可以理解为没有被优化

实验

实验结果列表形式:

Pushed or Not SQL
Pushed select ename,dept_name from E join D on ( E.dept_id = D.dept_id and E.eid='HZ001');
Pushed select ename,dept_name from E join D on E.dept_id = D.dept_id where E.eid='HZ001';
Pushed select ename,dept_name from E join D on ( E.dept_id = D.dept_id and D.dept_id='D001');
Pushed select ename,dept_name from E join D on E.dept_id = D.dept_id where D.dept_id='D001';
Not Pushed select ename,dept_name from E left outer join D on ( E.dept_id = D.dept_id and E.eid='HZ001');
Pushed select ename,dept_name from E left outer join D on E.dept_id = D.dept_id where E.eid='HZ001';
Pushed select ename,dept_name from E left outer join D on ( E.dept_id = D.dept_id and D.dept_id='D001');
Not Pushed select ename,dept_name from E left outer join D on E.dept_id = D.dept_id where D.dept_id='D001';
Pushed select ename,dept_name from E right outer join D on ( E.dept_id = D.dept_id and E.eid='HZ001');
Not Pushed select ename,dept_name from E right outer join D on E.dept_id = D.dept_id where E.eid='HZ001';
Not Pushed select ename,dept_name from E right outer join D on ( E.dept_id = D.dept_id and D.dept_id='D001');
Pushed select ename,dept_name from E right outer join D on E.dept_id = D.dept_id where D.dept_id='D001';
Not Pushed select ename,dept_name from E full outer join D on ( E.dept_id = D.dept_id and E.eid='HZ001');
Not Pushed select ename,dept_name from E full outer join D on E.dept_id = D.dept_id where E.eid='HZ001';
Not Pushed select ename,dept_name from E full outer join D on ( E.dept_id = D.dept_id and D.dept_id='D001');
Not Pushed select ename,dept_name from E full outer join D on E.dept_id = D.dept_id where D.dept_id='D001';

实验结果表格形式:

Join(inner join) Left Outer Join Right Outer Join Full Outer Join
Left Table Right Table Left Table Right Table Left Table Right Table Left Table Right Table
Join Predicate Pushed Pushed Not Pushed Pushed Pushed Not Pushed Not Pushed Not Pushed
Where Predicate Pushed Pushed Pushed Not Pushed Not Pushed Pushed Not Pushed Not Pushed

此表实际上就是上述PPD规则表

结论

1、对于Join(Inner Join)、Full outer Join,条件写在on后面,还是where后面,性能上面没有区别;
2、对于Left outer Join ,右侧的表写在on后面、左侧的表写在where后面,性能上有提高;
3、对于Right outer Join,左侧的表写在on后面、右侧的表写在where后面,性能上有提高;
4、当条件分散在两个表时,谓词下推可按上述结论2和3自由组合,情况如下:

SQL 过滤时机
select ename,dept_name from E left outer join D on ( E.dept_id = D.dept_id and E.eid='HZ001' and D.dept_id = 'D001'); dept_id在map端过滤,eid在reduce端过滤
select ename,dept_name from E left outer join D on ( E.dept_id = D.dept_id and D.dept_id = 'D001') where E.eid='HZ001'; dept_id,eid都在map端过滤
select ename,dept_name from E left outer join D on ( E.dept_id = D.dept_id and E.eid='HZ001') where D.dept_id = 'D001'; dept_id,eid都在reduce端过滤
select ename,dept_name from E left outer join D on ( E.dept_id = D.dept_id ) where E.eid='HZ001' and D.dept_id = 'D001'; dept_id在reduce端过滤,eid在map端过滤

参考文献:
[1] https://cwiki.apache.org/confluence/display/Hive/OuterJoinBehavior

猜你喜欢

转载自blog.csdn.net/strongyoung88/article/details/81156271