在JAVA中的SQL 语句的编写方面,没有使用ORACLE 绑定变量,很大程度上降低了数据库的性能,表现在两个方面:
1、SQL语句硬分析(Hard Parse)太多,严重消耗CPU资源,延长了SQL语句总的执行时间SQL语句的执行过程分几个步骤:语法检查、分析、执行、返回结果。其中分析又分为硬分析(Hard Parse)和软分析(Soft Parse)。
2、共享池中SQL语句数量太多,重用性极低,加速了SQL语句的老化,导致共享池碎片过多。
String v_id = 'xxxxx';
select * from table_a where name = 'xxxxx' ;
假定这个语句第一次执行,会进行硬分析。后来,同一段java 代码中v_id 值发现变化(v_id = 'yyyyyy'),数据库又接收到这样的语句:
select * from table_a where name = 'yyyyyy' ;
其实,只需将以上java 代码改成以下这样,就使用了oracle 的绑定变量:
String v_id = 'xxxxx';
String v_sql = 'select name from table_a where id = ? '; //嵌入绑定变量
stmt = con.prepareStatement( v_sql );
stmt.setString(1, v_id ); //为绑定变量赋值
stmt.executeQuery();
type rc is ref cursor;
l_rc rc;
l_dummy all_objects.object_name%type;
l_start number default dbms_utility.get_time;
begin
for i in 1 .. 1000
loop
open l_rc for
'select object_name
from all_objects
where object_id = ' || i;
fetch l_rc into l_dummy;
close l_rc;
end loop;
dbms_output.put_line
( round( (dbms_utility.get_time-l_start)/100, 2 ) ||
' seconds...' );
end;
输出:8.25 seconds...
2. 增加Rule提示
declare
type rc is ref cursor;
l_rc rc;
l_dummy all_objects.object_name%type;
l_start number default dbms_utility.get_time;
begin
for i in 1 .. 1000
loop
open l_rc for
'select /*+ rule */ object_name
from all_objects
where object_id = ' || i;
fetch l_rc into l_dummy;
close l_rc;
end loop;
dbms_output.put_line
( round( (dbms_utility.get_time-l_start)/100, 2 ) ||
' seconds...' );
end;
输出:8.23 seconds...
3. 使用绑定变量
declare
type rc is ref cursor;
l_rc rc;
l_dummy all_objects.object_name%type;
l_start number default dbms_utility.get_time;
begin
for i in 1 .. 1000
loop
open l_rc for
'select object_name
from all_objects
where object_id = :x'
using i;
fetch l_rc into l_dummy;
close l_rc;
end loop;
dbms_output.put_line
( round( (dbms_utility.get_time-l_start)/100, 2 ) ||
' seconds...' );
end;
输出:.56 seconds...