Oracle绑定变量未正确使用索引的问题
在我的场景中,以下查询运行速度很快(对于一个有7000万行的表,运行时间为0.5秒): 而且,它甚至可以使用绑定变量快速运行:Oracle绑定变量未正确使用索引的问题,oracle,indexing,parameterized-query,bind-variables,oracle11gr1,Oracle,Indexing,Parameterized Query,Bind Variables,Oracle11gr1,在我的场景中,以下查询运行速度很快(对于一个有7000万行的表,运行时间为0.5秒): 而且,它甚至可以使用绑定变量快速运行: var purchase_id number := 1700656396 select * from Purchases where (purchase_id = :purchase_id) 它们运行得很快,因为我在purchase\u id列上有一个索引。(继续读…) 我需要创建一个允许对任意列进行“筛选”的查询。这意味着提供多个输入变量,并对每个变量进行过滤,除非
var purchase_id number := 1700656396
select * from Purchases
where (purchase_id = :purchase_id)
它们运行得很快,因为我在purchase\u id
列上有一个索引。(继续读…)
我需要创建一个允许对任意列进行“筛选”的查询。这意味着提供多个输入变量,并对每个变量进行过滤,除非它是null
。这一开始效果不错
例如,以下查询运行速度也很快(0.5秒):
但是,当我尝试通过绑定变量或存储过程对查询进行参数化时,查询速度会显著减慢(1.5分钟),就好像它忽略了任何索引:
var purchase_id number := 1700656396
var purchase_name varchar2 := NULL
var purchase_price number := NULL
select * from Purchases
where (:purchase_id IS NULL OR purchase_id = :purchase_id)
and (:purchase_name IS NULL OR purchase_name = :purchase_name)
and (:purchase_price IS NULL OR purchase_price = :purchase_price)
现在,在我的应用程序中,为了获得良好的性能,我不得不在运行时动态构造查询。这意味着我失去了参数化查询的所有优点,并迫使我担心SQL注入
在保持相同逻辑的同时,是否可以避免动态构造查询?只是一个简单的问题:我猜下面的非参数化查询也将运行1.5分钟
select * from Purchases
where (1700656396 IS NULL OR purchase_id = 1700656396)
and ('some-name' IS NULL OR purchase_name = 'some-name')
and (12 IS NULL OR purchase_price = 12)
如果是,问题不是绑定变量,而是缺少索引
编辑问题是,Oracle在为参数化查询生成计划时无法决定使用索引这确实是一个更大的主题,但我认为这是最容易实现且效果良好的方法。诀窍是使用动态SQL,但要实现它,以便始终传递相同数量的参数(需要),并允许Oracle在没有参数值(当前方法中缺少的)时短路。例如:
set serveroutput on
create or replace procedure test_param(p1 in number default null, p2 in varchar2 default null) as
l_sql varchar2(4000);
l_cur sys_refcursor;
l_rec my_table%rowtype;
l_ctr number := 0;
begin
l_sql := 'select * from my_table where 1=1';
if (p1 is not null) then
l_sql := l_sql || ' and my_num_col = :p1';
else
-- short circuit for optimizer (1=1)
l_sql := l_sql || ' and (1=1 or :p1 is null)';
end if;
if (p2 is not null) then
l_sql := l_sql || ' and name like :p2';
else
-- short circuit for optimizer (1=1)
l_sql := l_sql || ' and (1=1 or :p2 is null)';
end if;
-- show what the SQL query will be
dbms_output.put_line(l_sql);
-- note always have same param list (using)
open l_cur for l_sql using p1,p2;
-- could return this cursor (function), or simply print out first 10 rows here for testing
loop
l_ctr := l_ctr + 1;
fetch l_cur
into l_rec;
exit when l_cur%notfound OR l_ctr > 10;
dbms_output.put_line('Name is: ' || l_rec.name || ', Address is: ' || l_rec.address1);
end loop;
close l_cur;
end;
set serveroutput on
-- using 0 param
exec test_param();
-- using 1 param
exec test_param(123456789);
-- using 2 params
exec test_param(123456789, 'ABC%');
要进行测试,只需运行它。例如:
set serveroutput on
create or replace procedure test_param(p1 in number default null, p2 in varchar2 default null) as
l_sql varchar2(4000);
l_cur sys_refcursor;
l_rec my_table%rowtype;
l_ctr number := 0;
begin
l_sql := 'select * from my_table where 1=1';
if (p1 is not null) then
l_sql := l_sql || ' and my_num_col = :p1';
else
-- short circuit for optimizer (1=1)
l_sql := l_sql || ' and (1=1 or :p1 is null)';
end if;
if (p2 is not null) then
l_sql := l_sql || ' and name like :p2';
else
-- short circuit for optimizer (1=1)
l_sql := l_sql || ' and (1=1 or :p2 is null)';
end if;
-- show what the SQL query will be
dbms_output.put_line(l_sql);
-- note always have same param list (using)
open l_cur for l_sql using p1,p2;
-- could return this cursor (function), or simply print out first 10 rows here for testing
loop
l_ctr := l_ctr + 1;
fetch l_cur
into l_rec;
exit when l_cur%notfound OR l_ctr > 10;
dbms_output.put_line('Name is: ' || l_rec.name || ', Address is: ' || l_rec.address1);
end loop;
close l_cur;
end;
set serveroutput on
-- using 0 param
exec test_param();
-- using 1 param
exec test_param(123456789);
-- using 2 params
exec test_param(123456789, 'ABC%');
在我的系统中,使用的表有超过100mm行,数字字段和名称字段上有索引。几乎立即返回。还请注意,如果不需要所有列,您可能不想执行select*,但我有点懒,在这个示例中使用了%rowtype
希望这有助于对tbone的答案采取不同的方法,我意识到我可以在代码中动态构造查询,并且仍然使用绑定变量(从而获得索引的灵活性,并且仍然100%不受SQL注入的影响) 在我的代码中,我可以执行以下操作:
string sql = "select * from Purchases where 1 = 1";
if(purchase_id != null) sql += " and (purchase_id = :purchase_id)";
if(purchase_name != null) sql += " and (purchase_name = :purchase_name)";
if(purchase_price != null) sql += " and (purchase_price = :purchase_price)";
我对此进行了测试,它解决了我的问题。虽然听起来很奇怪,但在这种特定情况下,两个组合交叉联接可以有所帮助。
请看下面的示例。
样本数据表:
select * from all_tables;
drop table Purchases;
create table Purchases as
select zx.object_id + (lev-1) * 100000 purchase_id,
object_name purchase_name,
round( dbms_random.value( 1, 200 )) purchase_price,
zx.*
from all_objects zx
cross join (select level lev from dual connect by level <= 170);
create unique index purchases_id_ix on Purchases( Purchase_id );
exec dbms_stats.gather_table_stats( user, 'Purchases' );
select count(*) from Purchases;
COUNT(*)
----------
10316620
var Purchase_id varchar2( 4000 )
var Purchase_name varchar2( 4000 )
var Purchase_price varchar2( 4000 )
begin
:Purchase_id := '1139';
:Purchase_name := NULL;
:Purchase_price := NULL;
end;
/
explain plan for
select p.*
from Purchases p
cross join (
select 1 from dual d
where :Purchase_id is not null
) part_1
where Purchase_id = to_number( :Purchase_id )
and ( :Purchase_name is null or Purchase_name = :Purchase_name )
and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
union all
select p.*
from Purchases p
cross join (
select 1 from dual d
where :Purchase_id is null
) part_2
where
( :Purchase_name is null or Purchase_name = :Purchase_name )
and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
;
Plan hash value: 460094106
------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 1 | NESTED LOOPS | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 2 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 3 | VIEW | VW_JF_SET$96C1679A | 28259 | 5546K| 54091 (1)| 00:10:50 |
| 4 | UNION-ALL | | | | | |
|* 5 | FILTER | | | | | |
|* 6 | TABLE ACCESS BY INDEX ROWID| PURCHASES | 1 | 132 | 3 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | PURCHASES_ID_IX | 1 | | 2 (0)| 00:00:01 |
|* 8 | FILTER | | | | | |
|* 9 | TABLE ACCESS FULL | PURCHASES | 28258 | 3642K| 54088 (1)| 00:10:50 |
------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
5 - filter(:PURCHASE_ID IS NOT NULL)
6 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
7 - access("P"."PURCHASE_ID"=TO_NUMBER(:PURCHASE_ID))
8 - filter(:PURCHASE_ID IS NULL)
9 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
27 wierszy zosta│o wybranych.
解释计划:
select * from all_tables;
drop table Purchases;
create table Purchases as
select zx.object_id + (lev-1) * 100000 purchase_id,
object_name purchase_name,
round( dbms_random.value( 1, 200 )) purchase_price,
zx.*
from all_objects zx
cross join (select level lev from dual connect by level <= 170);
create unique index purchases_id_ix on Purchases( Purchase_id );
exec dbms_stats.gather_table_stats( user, 'Purchases' );
select count(*) from Purchases;
COUNT(*)
----------
10316620
var Purchase_id varchar2( 4000 )
var Purchase_name varchar2( 4000 )
var Purchase_price varchar2( 4000 )
begin
:Purchase_id := '1139';
:Purchase_name := NULL;
:Purchase_price := NULL;
end;
/
explain plan for
select p.*
from Purchases p
cross join (
select 1 from dual d
where :Purchase_id is not null
) part_1
where Purchase_id = to_number( :Purchase_id )
and ( :Purchase_name is null or Purchase_name = :Purchase_name )
and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
union all
select p.*
from Purchases p
cross join (
select 1 from dual d
where :Purchase_id is null
) part_2
where
( :Purchase_name is null or Purchase_name = :Purchase_name )
and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
;
Plan hash value: 460094106
------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 1 | NESTED LOOPS | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 2 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 3 | VIEW | VW_JF_SET$96C1679A | 28259 | 5546K| 54091 (1)| 00:10:50 |
| 4 | UNION-ALL | | | | | |
|* 5 | FILTER | | | | | |
|* 6 | TABLE ACCESS BY INDEX ROWID| PURCHASES | 1 | 132 | 3 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | PURCHASES_ID_IX | 1 | | 2 (0)| 00:00:01 |
|* 8 | FILTER | | | | | |
|* 9 | TABLE ACCESS FULL | PURCHASES | 28258 | 3642K| 54088 (1)| 00:10:50 |
------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
5 - filter(:PURCHASE_ID IS NOT NULL)
6 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
7 - access("P"."PURCHASE_ID"=TO_NUMBER(:PURCHASE_ID))
8 - filter(:PURCHASE_ID IS NULL)
9 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
27 wierszy zosta│o wybranych.
测试:采购id为空
SQL> set pagesize 0
SQL> set linesize 200
SQL> set timing on
SQL> set autotrace traceonly
SQL>
SQL> begin
2 :Purchase_id := '163027';
3 :Purchase_name := NULL;
4 :Purchase_price := NULL;
5 end;
6 /
Procedura PL/SQL zosta│a zako˝czona pomyťlnie.
Ca│kowity: 00:00:00.00
SQL> select p.*
2 from Purchases p
3 cross join (
4 select 1 from dual d
5 where :Purchase_id is not null
6 ) part_1
7 where Purchase_id = to_number( :Purchase_id )
8 and ( :Purchase_name is null or Purchase_name = :Purchase_name )
9 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
10 union all
11 select p.*
12 from Purchases p
13 cross join (
14 select 1 from dual d
15 where :Purchase_id is null
16 ) part_2
17 where
18 ( :Purchase_name is null or Purchase_name = :Purchase_name )
19 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
20 ;
Ca│kowity: 00:00:00.09
Plan wykonywania
----------------------------------------------------------
Plan hash value: 460094106
------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 1 | NESTED LOOPS | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 2 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 3 | VIEW | VW_JF_SET$96C1679A | 28259 | 5546K| 54091 (1)| 00:10:50 |
| 4 | UNION-ALL | | | | | |
|* 5 | FILTER | | | | | |
|* 6 | TABLE ACCESS BY INDEX ROWID| PURCHASES | 1 | 132 | 3 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | PURCHASES_ID_IX | 1 | | 2 (0)| 00:00:01 |
|* 8 | FILTER | | | | | |
|* 9 | TABLE ACCESS FULL | PURCHASES | 28258 | 3642K| 54088 (1)| 00:10:50 |
------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
5 - filter(:PURCHASE_ID IS NOT NULL)
6 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
7 - access("P"."PURCHASE_ID"=TO_NUMBER(:PURCHASE_ID))
8 - filter(:PURCHASE_ID IS NULL)
9 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
Statystyki
----------------------------------------------------------
1 recursive calls
0 db block gets
4 consistent gets
2 physical reads
0 redo size
1865 bytes sent via SQL*Net to client
519 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL> begin
2 :Purchase_id := NULL;
3 :Purchase_name := 'DBMS_CUBE_UTIL';
4 :Purchase_price := NULL;
5 end;
6 /
Procedura PL/SQL zosta│a zako˝czona pomyťlnie.
Ca│kowity: 00:00:00.00
SQL> select p.*
2 from Purchases p
3 cross join (
4 select 1 from dual d
5 where :Purchase_id is not null
6 ) part_1
7 where Purchase_id = to_number( :Purchase_id )
8 and ( :Purchase_name is null or Purchase_name = :Purchase_name )
9 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
10 union all
11 select p.*
12 from Purchases p
13 cross join (
14 select 1 from dual d
15 where :Purchase_id is null
16 ) part_2
17 where
18 ( :Purchase_name is null or Purchase_name = :Purchase_name )
19 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
20 ;
510 wierszy zosta│o wybranych.
Ca│kowity: 00:00:11.90
Plan wykonywania
----------------------------------------------------------
Plan hash value: 460094106
------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 1 | NESTED LOOPS | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 2 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 3 | VIEW | VW_JF_SET$96C1679A | 28259 | 5546K| 54091 (1)| 00:10:50 |
| 4 | UNION-ALL | | | | | |
|* 5 | FILTER | | | | | |
|* 6 | TABLE ACCESS BY INDEX ROWID| PURCHASES | 1 | 132 | 3 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | PURCHASES_ID_IX | 1 | | 2 (0)| 00:00:01 |
|* 8 | FILTER | | | | | |
|* 9 | TABLE ACCESS FULL | PURCHASES | 28258 | 3642K| 54088 (1)| 00:10:50 |
------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
5 - filter(:PURCHASE_ID IS NOT NULL)
6 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
7 - access("P"."PURCHASE_ID"=TO_NUMBER(:PURCHASE_ID))
8 - filter(:PURCHASE_ID IS NULL)
9 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
Statystyki
----------------------------------------------------------
0 recursive calls
0 db block gets
197993 consistent gets
82655 physical reads
0 redo size
16506 bytes sent via SQL*Net to client
882 bytes received via SQL*Net from client
35 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
510 rows processed
测试:Purchase\u id=NULL
SQL> set pagesize 0
SQL> set linesize 200
SQL> set timing on
SQL> set autotrace traceonly
SQL>
SQL> begin
2 :Purchase_id := '163027';
3 :Purchase_name := NULL;
4 :Purchase_price := NULL;
5 end;
6 /
Procedura PL/SQL zosta│a zako˝czona pomyťlnie.
Ca│kowity: 00:00:00.00
SQL> select p.*
2 from Purchases p
3 cross join (
4 select 1 from dual d
5 where :Purchase_id is not null
6 ) part_1
7 where Purchase_id = to_number( :Purchase_id )
8 and ( :Purchase_name is null or Purchase_name = :Purchase_name )
9 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
10 union all
11 select p.*
12 from Purchases p
13 cross join (
14 select 1 from dual d
15 where :Purchase_id is null
16 ) part_2
17 where
18 ( :Purchase_name is null or Purchase_name = :Purchase_name )
19 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
20 ;
Ca│kowity: 00:00:00.09
Plan wykonywania
----------------------------------------------------------
Plan hash value: 460094106
------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 1 | NESTED LOOPS | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 2 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 3 | VIEW | VW_JF_SET$96C1679A | 28259 | 5546K| 54091 (1)| 00:10:50 |
| 4 | UNION-ALL | | | | | |
|* 5 | FILTER | | | | | |
|* 6 | TABLE ACCESS BY INDEX ROWID| PURCHASES | 1 | 132 | 3 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | PURCHASES_ID_IX | 1 | | 2 (0)| 00:00:01 |
|* 8 | FILTER | | | | | |
|* 9 | TABLE ACCESS FULL | PURCHASES | 28258 | 3642K| 54088 (1)| 00:10:50 |
------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
5 - filter(:PURCHASE_ID IS NOT NULL)
6 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
7 - access("P"."PURCHASE_ID"=TO_NUMBER(:PURCHASE_ID))
8 - filter(:PURCHASE_ID IS NULL)
9 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
Statystyki
----------------------------------------------------------
1 recursive calls
0 db block gets
4 consistent gets
2 physical reads
0 redo size
1865 bytes sent via SQL*Net to client
519 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL> begin
2 :Purchase_id := NULL;
3 :Purchase_name := 'DBMS_CUBE_UTIL';
4 :Purchase_price := NULL;
5 end;
6 /
Procedura PL/SQL zosta│a zako˝czona pomyťlnie.
Ca│kowity: 00:00:00.00
SQL> select p.*
2 from Purchases p
3 cross join (
4 select 1 from dual d
5 where :Purchase_id is not null
6 ) part_1
7 where Purchase_id = to_number( :Purchase_id )
8 and ( :Purchase_name is null or Purchase_name = :Purchase_name )
9 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
10 union all
11 select p.*
12 from Purchases p
13 cross join (
14 select 1 from dual d
15 where :Purchase_id is null
16 ) part_2
17 where
18 ( :Purchase_name is null or Purchase_name = :Purchase_name )
19 and ( :Purchase_price is null or purchase_price = to_number( :Purchase_price ) )
20 ;
510 wierszy zosta│o wybranych.
Ca│kowity: 00:00:11.90
Plan wykonywania
----------------------------------------------------------
Plan hash value: 460094106
------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 1 | NESTED LOOPS | | 28259 | 5546K| 54093 (1)| 00:10:50 |
| 2 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 3 | VIEW | VW_JF_SET$96C1679A | 28259 | 5546K| 54091 (1)| 00:10:50 |
| 4 | UNION-ALL | | | | | |
|* 5 | FILTER | | | | | |
|* 6 | TABLE ACCESS BY INDEX ROWID| PURCHASES | 1 | 132 | 3 (0)| 00:00:01 |
|* 7 | INDEX UNIQUE SCAN | PURCHASES_ID_IX | 1 | | 2 (0)| 00:00:01 |
|* 8 | FILTER | | | | | |
|* 9 | TABLE ACCESS FULL | PURCHASES | 28258 | 3642K| 54088 (1)| 00:10:50 |
------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
5 - filter(:PURCHASE_ID IS NOT NULL)
6 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
7 - access("P"."PURCHASE_ID"=TO_NUMBER(:PURCHASE_ID))
8 - filter(:PURCHASE_ID IS NULL)
9 - filter((:PURCHASE_NAME IS NULL OR "P"."PURCHASE_NAME"=:PURCHASE_NAME) AND
(:PURCHASE_PRICE IS NULL OR "P"."PURCHASE_PRICE"=TO_NUMBER(:PURCHASE_PRICE)))
Statystyki
----------------------------------------------------------
0 recursive calls
0 db block gets
197993 consistent gets
82655 physical reads
0 redo size
16506 bytes sent via SQL*Net to client
882 bytes received via SQL*Net from client
35 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
510 rows processed
要知道实际执行时间,不要看计划,他们说谎,只包含估计(甲骨文认为会是什么)。查看带有“Ca”的行│它的意思是“总执行时间”(我不知道如何在sqlplus中将代码页更改为英语)。再看看“一致的GET”,这是查询读取的大量逻辑一致块。
第一个查询(采购标识为空)
显然它使用了索引,时间是90ms
第二个查询(purchase\u id=null)
此查询进行全表扫描。您是否尝试过解释计划并查看封面下的内容?另外,您使用的是什么版本的Oracle?解释计划在使用绑定变量()时没有帮助我使用的是Oracle 11.1.0.7.0。我更新了我的标签,将其包括在内。解释计划仍然会告诉您Oracle认为它将要做什么,即使它最终做了一些不同的事情(您可以跟踪)。这仍然是一个很好的起点。您在
purchase\u name
或purchase\u price
上有索引吗?在这种情况下,我只在purchase\u id
上有索引,其他的没有索引,我也不想在其他的索引上有索引。如果我为这些列提供值,我希望查询运行得很慢。这将需要表扫描,因为它为非索引列purchase\u name
和purchase\u price
提供了一个值,也就是说,oracle不可能在没有表扫描的情况下运行该查询。但是,对于我提供的查询,很容易看出NULL为NULL
的计算结果应始终为true,因此可以跳过这些WHERE
子句(实际上,Oracle只对非绑定变量查询这样做)。我不认为“问题在于缺少索引”-我真的不想为每一列都编制索引,我只是希望一些输入可以让它比其他列运行得更快。好的,基本上我们在同一个平台上。问题是,据我所知,在计算参数之前,会为参数化查询生成计划。这样就可以重用计划,从而节省在使用不同参数运行同一查询时再次生成计划的工作量。Oracle如何确定是否可以使用“购买时索引”id字段,或者是否需要从参数化查询中进行完整表扫描?@bpgergo-这在11gR2中得到了改进。您所显示的内容不需要进行完整的表扫描,在筛选器中具有非索引列并不排除使用purchase\u id
索引。由于这是唯一的索引,我希望它的性能与null
版本(问题中的第三个查询)完全相同。该计划将只是有不同的过滤器,它不会影响访问。