简单试验一下Bulk Binds对性能的提高

王朝other·作者佚名  2008-05-31
窄屏简体版  字體: |||超大  

当Oracle运行PL/SQL时会使用两套引擎,所有procedural code由PL/SQL engine 完成,所有SQL由SQL engine处理。

所以假如Oracle从一个collection中循环执行相同的DML操作,那么为了避免两套engine切换所消耗的系统资源,可以使用bulk binds来把所有的DML操作binding到一次操作中完成。这将极大提高PL/SQL的执行效率。

以下是简单的测试,用两种方式插入100000条数据,可以看到效率提高了7倍左右。

代码:--------------------------------------------------------------------------------

SQL CREATE TABLE test1(

2id NUMBER(10),

3descriptionVARCHAR2(50));

Table created

SQL ALTER TABLE test1 ADD (

2CONSTRAINT test1_pk PRIMARY KEY (id));

Table altered

SQL SET TIMING ON;

SQL DECLARE

2TYPE id_typeIS TABLE OF test1.id%TYPE;

3TYPE description_type IS TABLE OF test1.description%TYPE;

4

5t_id id_type:= id_type();

6t_descriptiondescription_type := description_type();

7BEGIN

8FOR i IN 1 .. 100000 LOOP

9t_id.extend;

10t_description.extend;

11

12t_id(t_id.last) := i;

13t_description(t_description.last) := 'Description: ' To_Char(i);

14END LOOP;

15

16FOR i IN t_id.first .. t_id.last LOOP

17INSERT INTO test1 (id, description)

18VALUES (t_id(i), t_description(i));

19END LOOP;

20

21COMMIT;

22END;

23/

PL/SQL procedure sUCcessfully completed

Executed in 141.233 seconds

SQL truncate table test1;

Table truncated

Executed in 0.631 seconds

SQL

SQL DECLARE

2TYPE id_typeIS TABLE OF test1.id%TYPE;

3TYPE description_type IS TABLE OF test1.description%TYPE;

4

5t_id id_type:= id_type();

6t_descriptiondescription_type := description_type();

7BEGIN

8FOR i IN 1 .. 100000 LOOP

9t_id.extend;

10t_description.extend;

11

12t_id(t_id.last) := i;

13t_description(t_description.last) := 'Description: ' To_Char(i);

14END LOOP;

15

16FORALL i IN t_id.first .. t_id.last

17INSERT INTO test1 (id, description)

18VALUES (t_id(i), t_description(i));

19

20COMMIT;

21END;

22/

PL/SQL procedure successfully completed

Executed in 27.52 seconds

SQL select count(*) from test1;

COUNT(*)

----------

100000

Executed in 0.04 seconds

SQL--------------------------------------------------------------------------------

下面我们使用上面那个例子中插入的100000条数据,来测试一下BULK COLLECT的威力。

代码:--------------------------------------------------------------------------------

SQL SET TIMING ON;

SQL

SQL DECLARE

2TYPE id_typeIS TABLE OF test1.id%TYPE;

3TYPE description_type IS TABLE OF test1.description%TYPE;

4

5t_id id_type:= id_type();

6t_descriptiondescription_type := description_type();

7

8CURSOR c_data IS

9SELECT *

10FROM test1;

11BEGIN

12FOR cur_rec IN c_data LOOP

13t_id.extend;

14t_description.extend;

15

16t_id(t_id.last) := cur_rec.id;

17t_description(t_description.last) := cur_rec.description;

18END LOOP;

19END;

20/

PL/SQL procedure successfully completed

Executed in 2.974 seconds

SQL

SQL DECLARE

2TYPE id_typeIS TABLE OF test1.id%TYPE;

3TYPE description_type IS TABLE OF test1.description%TYPE;

4

5t_id id_type;

6t_descriptiondescription_type;

7BEGIN

8SELECT id, description

9BULK COLLECT INTO t_id, t_description FROM test1;

10END;

11/

PL/SQL procedure successfully completed

Executed in 0.371 seconds

SQL--------------------------------------------------------------------------------

结论:当我们需要将大量的检索结果放入一个collection的时候,使用bulking将比直接使用cursor循环有效的多。

 
 
 
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