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简单试验Bulk Binds对性能的提高

2024-07-21 02:39:28
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  简单试验一下Bulk Binds对性能的提高
  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> right">(出处:清风软件下载学院)

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