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简单试验一下Bulk Binds对性能的提高

2024-07-21 02:39:19
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  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(
   2  id      NUMBER(10),
   3  description VARCHAR2(50));
  
  Table created
  
  SQL> ALTER TABLE test1 ADD (
   2  CONSTRAINT test1_pk PRIMARY KEY (id));
  
  Table altered
  
  SQL> SET TIMING ON;
  
  SQL> DECLARE
   2  TYPE id_type     IS TABLE OF test1.id%TYPE;
   3  TYPE description_type IS TABLE OF test1.description%TYPE;
   4 
   5  t_id      id_type     := id_type();
   6  t_description description_type := description_type();
   7 BEGIN
   8  FOR i IN 1 .. 100000 LOOP
   9   t_id.extend;
   10   t_description.extend;
   11 
   12   t_id(t_id.last)          := i;
   13   t_description(t_description.last) := 'Description: ' To_Char(i);
   14  END LOOP;
   15 
   16  FOR i IN t_id.first .. t_id.last LOOP
   17   INSERT INTO test1 (id, description)
   18   VALUES (t_id(i), t_description(i));
   19  END LOOP;
   20 
   21  COMMIT;
   22 END;
   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
   2  TYPE id_type     IS TABLE OF test1.id%TYPE;
   3  TYPE description_type IS TABLE OF test1.description%TYPE;
   4 
   5  t_id      id_type     := id_type();
   6  t_description description_type := description_type();
   7 BEGIN
   8  FOR i IN 1 .. 100000 LOOP
   9   t_id.extend;
   10   t_description.extend;
   11 
   12   t_id(t_id.last)          := i;
   13   t_description(t_description.last) := 'Description: ' To_Char(i);
   14  END LOOP;
   15 
   16  FORALL i IN t_id.first .. t_id.last
   17   INSERT INTO test1 (id, description)
   18   VALUES (t_id(i), t_description(i));
   19 
   20  COMMIT;
   21 END;
   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
   2  TYPE id_type     IS TABLE OF test1.id%TYPE;
   3  TYPE description_type IS TABLE OF test1.description%TYPE;
   4 
   5  t_id      id_type     := id_type();
   6  t_description description_type := description_type();
   7 
   8  CURSOR c_data IS
   9   SELECT *
   10   FROM  test1;
   11 BEGIN
   12  FOR cur_rec IN c_data LOOP
   13   t_id.extend;
   14   t_description.extend;
   15 
   16   t_id(t_id.last)          := cur_rec.id;
   17   t_description(t_description.last) := cur_rec.description;
   18  END LOOP;
   19 END;
   20 /
  
  PL/SQL procedure successfully completed
  
  Executed in 2.974 seconds
  
  SQL> 
  SQL> DECLARE
   2  TYPE id_type     IS TABLE OF test1.id%TYPE;
   3  TYPE description_type IS TABLE OF test1.description%TYPE;
   4 
   5  t_id      id_type;
   6  t_description description_type;
   7 BEGIN
   8  SELECT id, description
   9  BULK COLLECT INTO t_id, t_description FROM test1;
   10 END;
   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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