SQL> create table yang(last_name varchar2(20),first_name varchar2(10),salary number(10));
Table created
Executed in 1.388 seconds
SQL> begin
2 for i in 1000..100999 loop
3 insert into yang (last_name,first_name,salary) values('qilong'||(i-1000),'yang'||(100999-i),i);
4 end loop;
5 end;
6 /
PL/SQL procedure successfully completed
Executed in 4.852 seconds
SQL> select count(*) from yang;
COUNT(*)
----------
100000
Executed in 0.047 seconds
SQL> select count(1) from yang;
COUNT(1)
----------
100000
Executed in 0.032 seconds
---常规的distinct用法。
SQL> select count (distinct last_name) from yang;
COUNT(DISTINCTLAST_NAME)
------------------------
100000
Executed in 0.124 seconds
SQL>
-----使用游标
SQL> declare
2 all_rows number(10);
3 temp_last_name yang.last_name%type;
4 begin
5 all_rows:=0;
6 temp_last_name:=' ';
7 for cur in (select last_name from yang order by last_name) loop
8 if cur.last_name!=temp_last_name then
9 all_rows:=all_rows+1;
10 end if;
11 temp_last_name:=cur.last_name;
12 end loop;
13 dbms_output.put_line('all_rows are '||all_rows);
14 end;
15 /
all_rows are 100000
PL/SQL procedure successfully completed
Executed in 0.156 seconds
游标需要0.156 秒才能查出该表中有100000个不重复的Last_name值,所耗时间是Distinct查询多0.032秒。
--使用Bulk Collect批查询来实现
SQL> declare
2 all_rows number(10);
3 --首先,定义一个Index-by表数据类型
4 type last_name_tab is table of yang.last_name%type index by binary_integer;
5 last_name_arr last_name_tab;
6 --定义一个Index-by表集合变
7 temp_last_name yang.last_name%type;
8 begin
9 all_rows:=0;
10 temp_last_name:=' ';
11 --使用Bulk Collect批查询来充填集合变量
12 select last_name bulk collect into last_name_arr from yang;
13 for i in 1..last_name_arr.count loop
14 if temp_last_name!=last_name_arr(i) then
15 all_rows:=all_rows+1;
16 end if;
17 temp_last_name:=last_name_arr(i);
18 end loop;
19 dbms_output.put_line('all_rows are '||all_rows);
20 end;
21 /
all_rows are 100000
PL/SQL procedure successfully completed
Executed in 0.078 seconds
--从上面执行结果,我们可以看到,
Bulk Collect批查询只需要0.078秒就能查出该表中有100000个不重复的Last_name值,
所耗时间只有游标查询的1/2,同时它比Distinct常规查询的速度也要快。
Table created
Executed in 1.388 seconds
SQL> begin
2 for i in 1000..100999 loop
3 insert into yang (last_name,first_name,salary) values('qilong'||(i-1000),'yang'||(100999-i),i);
4 end loop;
5 end;
6 /
PL/SQL procedure successfully completed
Executed in 4.852 seconds
SQL> select count(*) from yang;
COUNT(*)
----------
100000
Executed in 0.047 seconds
SQL> select count(1) from yang;
COUNT(1)
----------
100000
Executed in 0.032 seconds
---常规的distinct用法。
SQL> select count (distinct last_name) from yang;
COUNT(DISTINCTLAST_NAME)
------------------------
100000
Executed in 0.124 seconds
SQL>
-----使用游标
SQL> declare
2 all_rows number(10);
3 temp_last_name yang.last_name%type;
4 begin
5 all_rows:=0;
6 temp_last_name:=' ';
7 for cur in (select last_name from yang order by last_name) loop
8 if cur.last_name!=temp_last_name then
9 all_rows:=all_rows+1;
10 end if;
11 temp_last_name:=cur.last_name;
12 end loop;
13 dbms_output.put_line('all_rows are '||all_rows);
14 end;
15 /
all_rows are 100000
PL/SQL procedure successfully completed
Executed in 0.156 seconds
游标需要0.156 秒才能查出该表中有100000个不重复的Last_name值,所耗时间是Distinct查询多0.032秒。
--使用Bulk Collect批查询来实现
SQL> declare
2 all_rows number(10);
3 --首先,定义一个Index-by表数据类型
4 type last_name_tab is table of yang.last_name%type index by binary_integer;
5 last_name_arr last_name_tab;
6 --定义一个Index-by表集合变
7 temp_last_name yang.last_name%type;
8 begin
9 all_rows:=0;
10 temp_last_name:=' ';
11 --使用Bulk Collect批查询来充填集合变量
12 select last_name bulk collect into last_name_arr from yang;
13 for i in 1..last_name_arr.count loop
14 if temp_last_name!=last_name_arr(i) then
15 all_rows:=all_rows+1;
16 end if;
17 temp_last_name:=last_name_arr(i);
18 end loop;
19 dbms_output.put_line('all_rows are '||all_rows);
20 end;
21 /
all_rows are 100000
PL/SQL procedure successfully completed
Executed in 0.078 seconds
--从上面执行结果,我们可以看到,
Bulk Collect批查询只需要0.078秒就能查出该表中有100000个不重复的Last_name值,
所耗时间只有游标查询的1/2,同时它比Distinct常规查询的速度也要快。