第四. 索引
4.1 定义
索引是与表关联的可选结构。通过创建索引可提高数据更新和检索的性能。Oracle 索引提供到数据行的直接访问路径。
可以对表的一个或多个列创建索引。创建索引后，Oracle 服务器会自动维护和使用索引。表数据的更新（如添加新行、更新行或删除行）会自动传播到所有相关的索引，这些对用户来说是完全透明的。
索引还可以提高实施主键和唯一键约束条件时的性能。如果没有索引，则每次对表执行DML 操作时都会扫描整个表（全表扫描）。
4.2 类型
有多种类型的索引结构，可以根据需要使用。最常用的两种
类型是：
4.2.1 B 树索引
默认的索引类型；
采用平衡树的形式.
B 树索引的键值存储在平衡树（B 树）中，这样可以快速执行二进制搜索。
B 树索引的结构索引的顶层为根，它包含指向索引中下一层次的条目。下一层次为分支块，它又指向位于索引中下一层次的块。最底层是叶节点，它包含指向表行的索引条目。叶块是双向关联的，这便于按键值升序或降序扫描索引。
索引叶条目的格式
- 条目头：存储列数和锁定信息
- 键列长度/值对：用于定义键中的列大小，后面跟随列值（此类长度/值对的数目就是索引中的最大列数）。
- ROWID：包含键值的行的行ID
索引叶条目的特性在非分区表的B 树索引中：
- 当多个行具有相同的键值时，如果不压缩索引，键值会出现重复
- 当某行包含的所有键列为NULL 时，该行没有对应的索引条目。因此，当WHERE 子句指定了NULL 时，将始终执行全表扫描
- 因为所有行属于同一个段，所以要使用受限的ROWID 指向表行
对索引执行DML 操作的效果对表执行DML 操作时，Oracle 服务器会维护所有索引。下面说明对索引执行DML 命令产生的效果：
- 执行插入操作导致在相应块中插入索引条目。
- 删除一行只导致对索引条目进行逻辑删除。已删除行所占用的空间不可供后面新的叶条目使用。
- 更新键列导致对索引进行逻辑删除和插入。PCTFREE设置对索引没有影响，但创建时除外。即使索引块的空间少于PCTFREE指定的空间，也可以向索引块添加新条目。
4.3 创建
#创建索引
create index emp3_name_ix on
emp3(emp3_name);
#查看索引的信息
select index_name, index_type, table_name, table_type, uniqueness, status
from user_indexes
where table_name = ‘EMP3‘;
INDEX_NAME INDEX_TYPE TABLE_NAME TABLE_TYPE UNIQUENES STATUS
--------------- --------------- --------------- ----------- --------- --------
EMP3_ID_PK NORMAL EMP3 TABLE UNIQUE VALID
EMP3_NAME_IX NORMAL EMP3 TABLE NONUNIQUE VALID
#查看索引对应的列
SQL> select * from user_ind_columns where table_name = ‘EMP3‘;
INDEX_NAME TABLE_NAME COLUMN_NAME COLUMN_POSITION COLUMN_LENGTH CHAR_LENGTH DESC
--------------- --------------- --------------- --------------- ------------- ----------- ----
EMP3_ID_PK EMP3 EMP3_ID 1 22 0 ASC
EMP3_NAME_IX EMP3 EMP3_NAME 1 10 10 ASC
SQL> select * from emp3 where emp3_name = ‘qa1‘;
EMP3_ID EMP3_NAME DEP_ID
---------- ---------- ----------
2 qa1 2
Execution Plan
----------------------------------------------------------
Plan hash value: 215206995
--------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 33 | 1 (0)| 00:00:01 |
| 1 | TABLE ACCESS BY INDEX ROWID| EMP3 | 1 | 33 | 1 (0)| 00:00:01 |
|* 2 | INDEX RANGE SCAN | EMP3_NAME_IX | 1 | | 1 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - access("EMP3_NAME"=‘qa1‘)
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
3 consistent gets
0 physical reads
0 redo size
675 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
4.4 决定使用全表扫描还是使用索引
在大多数情况下，全表扫描可能会导致更多的物理磁盘输入输出，但是全表扫描有时又可能会因为高度并行化的存在而执行的更快。
索引范围扫描的总体原则是：
- 对于原始**排序的表**仅读取少于表记录数
40％的查询应该使用索引范围扫描。
反之，读取记录数目多于表记录数的40％的查询应该使用全表扫描。- 对于**未排序的表**仅读取少于表记录数
7％的查询应该使用索引范围扫描。
反之，读取记录数目多于表记录数的7％的查询应该使用全表扫描。
###决定使用全表扫描还是使用索引
SQL> select index_name, index_type, table_name, uniqueness, status from user_indexes where table_name = ‘EMP3‘;
INDEX_NAME INDEX_TYPE TABLE_NAME UNIQUENESS STATUS
--------------- ---------- --------------- ---------- --------
EMP3_ID_PK NORMAL EMP3 UNIQUE VALID
EMP3_NAME_IX NORMAL EMP3 NONUNIQUE VALID
SQL> select count(*) from emp3;
COUNT(*)
----------
19
#虽然有索引，但是此时是全表扫描
SQL> select * from emp3 where emp3_name = ‘qa8‘;
EMP3_ID EMP3_NAME DEP_ID
---------- ---------- ----------
16 qa8 2
Execution Plan
----------------------------------------------------------
Plan hash value: 2425169977
--------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 11 | 2 (0)| 00:00:01 |
|* 1 | TABLE ACCESS FULL| EMP3 | 1 | 11 | 2 (0)| 00:00:01 |
--------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("EMP3_NAME"=‘qa8‘)
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
3 consistent gets
0 physical reads
0 redo size
671 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
#往emp3表添加数据
[[email protected] sql]# more insert_data.sql
#!/bin/bash
i=$1;
while [ $i -le $2 ]
do
sqlplus hr/CCM%[email protected] <<EOF
insert into emp3 values($i,‘$3‘,$4);
commit;
quit;
EOF
let i=i+1
done
echo "inset into emp3 table"
[[email protected] sql]# ./insert_data.sql 90 100 dev 1
SQL> select max(emp3_id) from emp3;
MAX(EMP3_ID)
------------
100000
SQL> analyze table emp3 estimate statistics;
Table analyzed.
SQL> select blocks, empty_blocks, num_rows from user_tables where table_name = ‘EMP3‘;
BLOCKS EMPTY_BLOCKS NUM_ROWS
---------- ------------ ----------
374 10 101081
#查看一条数据
SQL> select * from emp3 where emp3_name = ‘qa33333‘;
EMP3_ID EMP3_NAME DEP_ID
---------- ---------- ----------
33333 qa33333 2
Execution Plan
----------------------------------------------------------
Plan hash value: 215206995
--------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 14 | 2 (0)| 00:00:01 |
| 1 | TABLE ACCESS BY INDEX ROWID| EMP3 | 1 | 14 | 2 (0)| 00:00:01 |
|* 2 | INDEX RANGE SCAN | EMP3_NAME_IX | 1 | | 1 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - access("EMP3_NAME"=‘qa33333‘)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
4 consistent gets
0 physical reads
0 redo size
681 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
#不加条件的查询，索引扫描
SQL> select count(*) from emp3;
COUNT(*)
----------
100000
Execution Plan
----------------------------------------------------------
Plan hash value: 2418373429
----------------------------------------------------------------------------
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
----------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 70 (2)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FAST FULL SCAN| EMP3_ID_PK | 101K| 70 (2)| 00:00:01 |
----------------------------------------------------------------------------
Statistics
----------------------------------------------------------
2 recursive calls
2 db block gets
262 consistent gets
37 physical reads
176 redo size
526 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
#没有创建索引的，查询全表扫描
SQL> select count(*) from emp3 where dep_id = 2;
COUNT(*)
----------
85726
Execution Plan
----------------------------------------------------------
Plan hash value: 1396384608
---------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2 | 104 (1)| 00:00:02 |
| 1 | SORT AGGREGATE | | 1 | 2 | | |
|* 2 | TABLE ACCESS FULL| EMP3 | 50541 | 98K| 104 (1)| 00:00:02 |
---------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter("DEP_ID"=2)
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
373 consistent gets
0 physical reads
0 redo size
528 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
SQL> select count(*) from emp3 where emp3_name like ‘qa%‘;
COUNT(*)
----------
85726
Execution Plan
----------------------------------------------------------
Plan hash value: 3884997069
----------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 8 | 2 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 8 | | |
|* 2 | INDEX RANGE SCAN| EMP3_NAME_IX | 7 | 56 | 2 (0)| 00:00:01 |
----------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - access("EMP3_NAME" LIKE ‘qa%‘)
filter("EMP3_NAME" LIKE ‘qa%‘)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
395 consistent gets
0 physical reads
0 redo size
528 bytes sent via SQL*Net to client
524 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
时间： 2024-10-12 14:23:12