目录
- 一、Oracle索引简介
- 1.1 索引分类
- 1.2 索引数据结构
- 1.3 索引特性
- 1.4 索引使用注意要点
- 1.5、索引的缺点
- 1.6、索引失效
- 二、索引分类介绍
- 2.1、位图索引
- 1.2、函数索引
- 1.3、反向索引
- 1.4、全文索引
一、Oracle索引简介
在看《收获，不止SQL优化》一书，并根据书中例子进行实践，整理成笔记
1.1 索引分类
Oracle索引分为BTree索引、位图索引、反向索引、函数索引、全文索引等等。
1.2 索引数据结构
Oracle索引中最常用的是BTree索引，所以就以BTree索引为例，讲一下BTree索引，BTree索引数据结构是一种二叉树的结构，索引由根块(Root)、茎块(Branch)、叶子块(Leaf)组成，其中叶子块主要存储索引列具体值(Key Column Value)以及能定位到数据块具体位置的Rowid，茎块和根块主要保存对应下级对应索引
1.3 索引特性
索引特性：
- 索引本身是有序的
- 索引本身能存储列值
1.4 索引使用注意要点
- (1)、仅等值无范围查询时，组合的顺序不影晌性能
drop table t purge;
create table t as select * from dba objects;
update t set object_id=rownum ;
commit;
create index idx_id_type on t(object_id, object_type) ;
create index idx_type_id on t(object_type , object_id) ;
set autotrace off;
alter session set statistics_level=all ;
select /* index(t idx_id_type)*/ * from t where object_id=20 and object_type='TABLE';
select * from table(dbms_xplan.display cursor(null , null , 'allstats last'));
select /* index(t,idx_type id)*/ * from t where object_id=20 and object_type= 'TABLE';
select * from table(dbms_xplan.display cursor(null , null , 'allstats last')); 只听到从架构师办公室传来架构君的声音: 寄言织女若休叹，天地无情会相见。有谁来对上联或下联?
- (2)、范围查询时，组合索引最佳顺序一般是将等值查询的列置前
此代码由Java架构师必看网-架构君整理
select /* index (t, idx_id_type)*/ * from t where object_id>=20 and object_id<2000 and
object_type='TABLE';
select /* index (t , idx_type_id) */ * from t where object_id>=20 and object_id<2000
and object type='TABLE';- (3)、Oracle不能同时在索引根的两段寻找最大值和最小值
set autotrace on
select max(object_id) , min(object_id) from t; 笛卡尔乘积写法：
代码语言：javascript复制此代码由Java架构师必看网-架构君整理
set autotrace on
select max, min
from (select max(object_id) max from t ) a ,
(select min(object_id) min from t ) b; - (4)、索引最新的数据块一般是在最右边
1.5、索引的缺点
- 热快竞争：索引最新的数据块一般在最右边，而访问也一般是访问比较新的数据，所以容易造成热快竞争
- 更新新增问题：索引本身是有序的，所以查询时候很快，但是更新时候就麻烦了，新增更新索引都需要保证排序
1.6、索引失效
索引失效分为逻辑失效和物理失效
- 逻辑失效 逻辑失效是因为一些sql语法导致索引失效，比如加了一些函数，而索引列不是函数索引
- 物理失效 物理失效是真的失效,比如被设置unusable属性,分区表的不规范操作也会导致索引失效等等情况
alter index index_name unusable;二、索引分类介绍
索引分类：BTree索引、位图索引、函数索引、反向索引、全文索引
2.1、位图索引
位图索引：位图索引储存的就是比特值
环境准备，位图索引性质适用于count时，效率最高
代码语言：javascript复制drop table t purge;
create table t as select * from dba_objects;
update t set object_id = rownum;
commit;不用索引的情况：
代码语言：javascript复制SQL> set autotrace on
SQL> select count(*) from t;
COUNT(*)
----------
72016
执行计划
----------------------------------------------------------
Plan hash value: 2966233522
-------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
-------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 288 (1)| 00:00:04 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | TABLE ACCESS FULL| T | 86565 | 288 (1)| 00:00:04 |
-------------------------------------------------------------------
Note
-----
- dynamic sampling used for this statement (level=2)
统计信息
----------------------------------------------------------
4 recursive calls
0 db block gets
1111 consistent gets
0 physical reads
0 redo size
432 bytes sent via SQL*Net to client
419 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL>创建位图索引：
代码语言：javascript复制create bitmap index idx_bitm_t_status on t(status);再次查询，走位图索引查询：
代码语言：javascript复制SQL> set autotrace on
SQL> select count(*) from t;
COUNT(*)
----------
72016
执行计划
----------------------------------------------------------
Plan hash value: 4272013625
--------------------------------------------------------------------------------
-----------
| Id | Operation | Name | Rows | Cost (%CPU)|
Time |
--------------------------------------------------------------------------------
-----------
| 0 | SELECT STATEMENT | | 1 | 5 (0)|
00:00:01 |
| 1 | SORT AGGREGATE | | 1 | |
|
| 2 | BITMAP CONVERSION COUNT | | 86565 | 5 (0)|
00:00:01 |
| 3 | BITMAP INDEX FAST FULL SCAN| IDX_BITM_T_STATUS | | |
|
--------------------------------------------------------------------------------
-----------
Note
-----
- dynamic sampling used for this statement (level=2)
统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
6 consistent gets
0 physical reads
0 redo size
432 bytes sent via SQL*Net to client
419 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL>注意要点：
位图索引更新列容易造成死锁，所以查询比较多列才适合建位图索引，更新比较多的列就尽量不要建索引
1.2、函数索引
函数索引：就是将一个函数计算的结果存储在行的列中
环境准备：
代码语言：javascript复制drop table t purge;
create table t (id int, status varchar2(2));
insert into t select 1,'N' from dual;
insert into t select rownum ,'Y' from dual connect by rownum <1000;
commit;不走索引的查询：
代码语言：javascript复制SQL> set autotrace on
SQL> select * from t where (case when status='N' then 'No' end)='No';
ID STAT
---------- ----
1 N
执行计划
----------------------------------------------------------
Plan hash value: 1601196873
--------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 16 | 3 (0)| 00:00:01 |
|* 1 | TABLE ACCESS FULL| T | 1 | 16 | 3 (0)| 00:00:01 |
--------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter(CASE "STATUS" WHEN 'N' THEN 'No' END ='No')
Note
-----
- dynamic sampling used for this statement (level=2)
统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
8 consistent gets
0 physical reads
0 redo size
486 bytes sent via SQL*Net to client
419 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL>创建函数索引：
代码语言：javascript复制create index idx_status on t (case when status ='N' then 'No' end);走函数索引的查询：
代码语言：javascript复制SQL> select * from t where (case when status='N' then 'No' end)='No';
ID STAT
---------- ----
1 N
执行计划
----------------------------------------------------------
Plan hash value: 3908194542
--------------------------------------------------------------------------------
----------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)|
Time |
--------------------------------------------------------------------------------
----------
| 0 | SELECT STATEMENT | | 10 | 200 | 2 (0)|
00:00:01 |
| 1 | TABLE ACCESS BY INDEX ROWID| T | 10 | 200 | 2 (0)|
00:00:01 |
|* 2 | INDEX RANGE SCAN | IDX_STATUS | 4 | | 1 (0)|
00:00:01 |
--------------------------------------------------------------------------------
----------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - access(CASE "STATUS" WHEN 'N' THEN 'No' END ='No')
Note
-----
- dynamic sampling used for this statement (level=2)
统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
2 consistent gets
0 physical reads
0 redo size
486 bytes sent via SQL*Net to client
419 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL>注意要点：
自定义函数时要加上deterministic 关键字，不然不能建立函数索引
建立一个自定义函数：
代码语言：javascript复制create or replace function f_addusl(i int) return int is
begin
return(i 1);
end;尝试建立函数索引：
代码语言：javascript复制create index idx_ljb_test on t(f_addusl(id));提示：ORA-30553:函数不能确定
用deterministic 关键字，就可以建立函数索引
代码语言：javascript复制create or replace function f_addusl(i int) return int deterministic is
begin
return(i 1);
end;在自定义函数代码更新时，对应的函数索引也要重建，否则不能用到原来的函数索引
1.3、反向索引
反向索引：反向索引其实也是BTree索引的一种特例，不过在列中字节会反转的(反向索引是为了避免热快竞争，比如索引列中存储的列值是递增的，比如250101,250102，按照BTree索引的特性，一般是按照顺序存储在索引右边的，所以容易形成热快竞争，而反向索引可以避免这种情况，因为反向索引是这样存储的，比如101052,201052，这样列值就距离很远了，避免了热快竞争)
代码语言：javascript复制反向索引不能用到范围查询
SQL> set autotrace on
SQL> select * from t where created=sysdate;
未选定行
执行计划
----------------------------------------------------------
Plan hash value: 913247507
--------------------------------------------------------------------------------
---------------
| Id | Operation | Name | Rows | Bytes | Cost (%C
PU)| Time |
--------------------------------------------------------------------------------
---------------
| 0 | SELECT STATEMENT | | 12 | 2484 | 286
(0)| 00:00:04 |
| 1 | TABLE ACCESS BY INDEX ROWID| T | 12 | 2484 | 286
(0)| 00:00:04 |
|* 2 | INDEX RANGE SCAN | IDX_REV_CREATED | 346 | | 1
(0)| 00:00:01 |
--------------------------------------------------------------------------------
---------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - access("CREATED"=SYSDATE@!)
Note
-----
- dynamic sampling used for this statement (level=2)
统计信息
----------------------------------------------------------
0 recursive calls
0 db block gets
2 consistent gets
0 physical reads
0 redo size
1191 bytes sent via SQL*Net to client
408 bytes received via SQL*Net from client
1 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
0 rows processed
SQL>范围查询，发现不走反向索引查询
代码语言：javascript复制SQL> select * from t where created>= sysdate-10 and created <= sysdate-1;
OWNER
------------------------------------------------------------
OBJECT_NAME
--------------------------------------------------------------------------------
SUBOBJECT_NAME OBJECT_ID
------------------------------------------------------------ ----------
DATA_OBJECT_ID OBJECT_TYPE CREATED
-------------- -------------------------------------- --------------
LAST_DDL_TIME TIMESTAMP STATUS TE GE SE
-------------- -------------------------------------- -------------- -- -- --
NAMESPACE EDITION_NAME
---------- ------------------------------------------------------------
SYS
ICOL$
20
2 TABLE 15-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
1
SYS
I_USER1
46
46 INDEX 14-6月 -19
OWNER
------------------------------------------------------------
OBJECT_NAME
--------------------------------------------------------------------------------
SUBOBJECT_NAME OBJECT_ID
------------------------------------------------------------ ----------
DATA_OBJECT_ID OBJECT_TYPE CREATED
-------------- -------------------------------------- --------------
LAST_DDL_TIME TIMESTAMP STATUS TE GE SE
-------------- -------------------------------------- -------------- -- -- --
NAMESPACE EDITION_NAME
---------- ------------------------------------------------------------
02-4月 -10 2010-04-02:13:18:38 VALID N N N
4
SYS
CON$
28
28 TABLE 13-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
1
SYS
OWNER
------------------------------------------------------------
OBJECT_NAME
--------------------------------------------------------------------------------
SUBOBJECT_NAME OBJECT_ID
------------------------------------------------------------ ----------
DATA_OBJECT_ID OBJECT_TYPE CREATED
-------------- -------------------------------------- --------------
LAST_DDL_TIME TIMESTAMP STATUS TE GE SE
-------------- -------------------------------------- -------------- -- -- --
NAMESPACE EDITION_NAME
---------- ------------------------------------------------------------
UNDO$
15
15 TABLE 12-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
1
SYS
C_COBJ#
29
29 CLUSTER 11-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
OWNER
------------------------------------------------------------
OBJECT_NAME
--------------------------------------------------------------------------------
SUBOBJECT_NAME OBJECT_ID
------------------------------------------------------------ ----------
DATA_OBJECT_ID OBJECT_TYPE CREATED
-------------- -------------------------------------- --------------
LAST_DDL_TIME TIMESTAMP STATUS TE GE SE
-------------- -------------------------------------- -------------- -- -- --
NAMESPACE EDITION_NAME
---------- ------------------------------------------------------------
5
SYS
I_OBJ#
3
3 INDEX 10-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
4
SYS
PROXY_ROLE_DATA$
OWNER
------------------------------------------------------------
OBJECT_NAME
--------------------------------------------------------------------------------
SUBOBJECT_NAME OBJECT_ID
------------------------------------------------------------ ----------
DATA_OBJECT_ID OBJECT_TYPE CREATED
-------------- -------------------------------------- --------------
LAST_DDL_TIME TIMESTAMP STATUS TE GE SE
-------------- -------------------------------------- -------------- -- -- --
NAMESPACE EDITION_NAME
---------- ------------------------------------------------------------
25
25 TABLE 09-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
1
SYS
I_IND1
41
41 INDEX 08-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
4
OWNER
------------------------------------------------------------
OBJECT_NAME
--------------------------------------------------------------------------------
SUBOBJECT_NAME OBJECT_ID
------------------------------------------------------------ ----------
DATA_OBJECT_ID OBJECT_TYPE CREATED
-------------- -------------------------------------- --------------
LAST_DDL_TIME TIMESTAMP STATUS TE GE SE
-------------- -------------------------------------- -------------- -- -- --
NAMESPACE EDITION_NAME
---------- ------------------------------------------------------------
SYS
I_CDEF2
54
54 INDEX 07-6月 -19
02-4月 -10 2010-04-02:13:18:38 VALID N N N
4
已选择9行。
执行计划
----------------------------------------------------------
Plan hash value: 1322348184
---------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 12 | 2484 | 292 (2)| 00:00:04 |
|* 1 | FILTER | | | | | |
|* 2 | TABLE ACCESS FULL| T | 12 | 2484 | 292 (2)| 00:00:04 |
---------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter(SYSDATE@!-10<=SYSDATE@!-1)
2 - filter("CREATED">=SYSDATE@!-10 AND "CREATED"<=SYSDATE@!-1)
Note
-----
- dynamic sampling used for this statement (level=2)
统计信息
----------------------------------------------------------
5 recursive calls
0 db block gets
1112 consistent gets
0 physical reads
0 redo size
1770 bytes sent via SQL*Net to client
419 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
9 rows processed
SQL>1.4、全文索引
全文索引：所谓Oracle全文索引是通过Oracle词法分析器(lexer)将所有的表意单元term存储dr$开头的表里并存储term出现的位置、次数、hash值等等信息，Oracle提供了basic_lexer(针对英语)、chinese_vgram_lexer(汉语分析器)、chinese_lexer(新的汉语分析器)。
- basic_lexer：是一种适用于英文的分析器，根据空格或者标点符号将词元分离，不管对于中文来说是没有空格的，所以这种分析器不适合中文
- chinese_vgram_lexer：这是一种原先专门的中文分析器，支持所有的汉字字符集，比如zhs16gbk单点。这种分析器，分析过程是按字为单元进行分析的，举个例子，“索引本身是有序的”，按照这种分析器，会分成词元“索”、“索引”、“引本”、“本身”、“身是”、“是有”、“有序”、“序的”、“的”这些词元，然后你发现像“序的”这些词在中文中基本是不成立的，不过这种Oracle分析器本身就不认识中文，所以只能全部分析，很明显效率是不好的
- chinese_lexer：这是一种新的中文分析器，前面提到chinese_vgram_lexer这种分析器虽然支持所有的中文字符集，但是效率不高，所以chinese_lexer是对其的改进版本，这种分析器认识很多中文词汇，能够比较快查询，提高效率，不过这种分析器只能支持utf-8字符集
Oracle的全文索引具体可以采用通配符查找、模糊匹配、相关分类、近似查找、条件加权和词意扩充等方法
环境准备
代码语言：javascript复制drop table t purge;
create table t as select * from dba_objects where object_name is not null;
update t set object_name ='高兴' where rownum<=2;
commit;
select * from t where object_name like '%高兴%';设置词法分析器
代码语言：javascript复制//设置词法分析器
BEGIN
ctx_ddl.create_preference ('lexer1', 'chinese_vgram_lexer');
END;解锁ctxsys用户，同时给你的测试账号(我这里用scott)授权使用ctx_ddl
代码语言：javascript复制//解锁ctxsys用户同时授权
grant ctxapp to scott;
alter user ctxsys account unlock;
alter user ctxsys identified by ctxsys;
connect ctxsys/ctxsys;
grant execute on ctx_ddl to scott;
connect scott/11;建立全文索引
代码语言：javascript复制//删除全文索引
drop index idx_content;
//查看数据文件信息
select * from v$datafile;
//建立全文索引
CREATE INDEX idx_content ON t(object_name) indextype is ctxsys.context parameters('lexer lexer1');代码语言：javascript复制注意要点：更新数据时候记得执行全文索引同步命令，否则将看不到更新数据
exec ctx_ddl.sync_index('idx_content','20M');今天文章到此就结束了，感谢您的阅读，年年好运。
