pl/sql中三种游标循环效率对比
这里主要对比以下三种格式的游标循环:
1.单条处理 open 游标; LOOP FETCH 游标 INTO 变量; EXIT WHEN 条件; END LOOP; CLOSE 游标; 2.批量处理 open 游标; FETCH 游标 BULK COLLECT INTO 集合变量; CLOSE 游标; 3.隐式游标 for x in (sql语句) loop ...--逻辑处理 end loop;
以上为工作中常见的几种游标处理方式,一般来说批量处理的速度要最好,隐式游标的次之,单条处理的最差,但是在我的实际工作中发现大部分使用的还是第一种游标处理。
归其原因竟是对集合变量及批量处理的效率等问题不了解所致。
这里简单的测试一下以上三种游标的效率,并分析trace文件来查看这3种处理方式的本质。
--创建测试大表
[sql]
00:09:54 SCOTT@orcl> create table big_data as select 'Cc'||mod(level,8) a,'Dd'||
mod(level,13) b from dual connect by level<1000000;
Table created.
Elapsed: 00:00:05.87
00:11:17 SCOTT@orcl> select count(*) from big_data;
COUNT(*)
----------
999999
1 row selected.
Elapsed: 00:00:00.07
--分别执行以上三种方式的游标处理的plsql块
[sql]
00:11:21 SCOTT@orcl> declare
00:17:54 2 cursor c_a is
00:17:54 3 select a from big_data;
00:17:54 4
00:17:54 5 v_a big_data.a%type;
00:17:54 6 begin
00:17:54 7 open c_a;
00:17:54 8 loop
00:17:54 9 fetch c_a into v_a;
00:17:54 10 exit when c_a%notfound;
00:17:54 11 end loop;
00:17:54 12 close c_a;
00:17:54 13 end;
00:17:56 14 /
PL/SQL procedure successfully completed.
Elapsed: 00:00:07.42
00:18:05 SCOTT@orcl> declare
00:19:56 2 cursor c_a is
00:19:56 3 select a from big_data;
00:19:56 4
00:19:56 5 type t_a is table of c_a%rowtype;
00:19:56 6 v_a t_a;
00:19:56 7 begin
00:19:56 8 open c_a;
00:19:56 9 --批量处理
00:19:56 10 fetch c_a bulk collect into v_a;
00:19:56 11 close c_a;
00:19:56 12 end;
00:19:57 13 /
PL/SQL procedure successfully completed.
Elapsed: 00:00:00.64
00:22:55 SCOTT@orcl>
declare
00:23:18 2 v_a big_data.a%type;
00:23:18 3 begin
00:23:18 4 --批量处理
00:23:18 5 for x in (select a from big_data) loop
00:23:18 6 v_a:=x.a;
00:23:18 7 end loop;
00:23:18 8 end;
00:23:18 9 /
PL/SQL procedure successfully completed.
Elapsed: 00:00:00.79
注意对比消耗时间,1为7.42s, 2为0.64s, 3为0.79s
在执行pl/sql块之前,需要执行语句: alter session set sql_trace=true;
以便之后查看trace文件.
第一个游标方式的trace文件如下:(单条处理)
PARSING IN CURSOR #7 len=181 dep=0 uid=84 oct=47 lid=84 tim=1357453194221500 hv=4093379502 ad='3ab9f6ec' sqlid='3nz96vvtzs0xf'
declare
cursor c_a is
select a from big_data;
v_a big_data.a%type;
begin
open c_a;
loop
fetch c_a into v_a;
exit when c_a%notfound;
end loop;
close c_a;
end;
END OF STMT
PARSE #7:c=7998,e=8406,p=0,cr=0,cu=0,mis=1,r=0,dep=0,og=1,plh=0,tim=1357453194221495
=====================
PARSING IN CURSOR #4 len=444 dep=2 uid=84 oct=3 lid=84 tim=1357453194225811 hv=1611503607 ad='3ab64c10' sqlid='c7tu1h9h0v5zr'
SELECT /* OPT_DYN_SAMP */ /*+ ALL_ROWS IGNORE_WHERE_CLAUSE NO_PARALLEL(SAMPLESUB) opt_param('parallel_execution_enabled', 'false') NO_PARALLEL_INDEX(SAMPLESUB) NO_SQL_TUNE */ NVL(SUM(C1),:"SYS_B_0"), NVL(SUM(C2),:"SYS_B_1") FROM (SELECT /*+ NO_PARALLEL("BIG_DATA") FULL("BIG_DATA") NO_PARALLEL_INDEX("BIG_DATA") */ :"SYS_B_2" AS C1, :"SYS_B_3" AS C2 FROM "BIG_DATA" SAMPLE BLOCK (:"SYS_B_4" , :"SYS_B_5") SEED (:"SYS_B_6") "BIG_DATA") SAMPLESUB
END OF STMT
PARSE #4:c=2000,e=1958,p=0,cr=0,cu=0,mis=1,r=0,dep=2,og=1,plh=0,tim=1357453194225807
*** 2013-01-06 14:19:54.284
EXEC #4:c=3998,e=58289,p=0,cr=0,cu=0,mis=1,r=0,dep=2,og=1,plh=3098652591,tim=1357453194284371
FETCH #4:c=18997,e=19074,p=0,cr=55,cu=0,mis=0,r=1,dep=2,og=1,plh=3098652591,tim