Oracle学习之性能优化（六）访问路径-创新互联

访问路径是指Oracle找到用户需要的数据的方法，这些方法很少，包括：

创新互联建站是一家集网站建设,青山企业网站建设,青山品牌网站建设,网站定制,青山网站建设报价,网络营销,网络优化,青山网站推广为一体的创新建站企业，帮助传统企业提升企业形象加强企业竞争力。可充分满足这一群体相比中小企业更为丰富、高端、多元的互联网需求。同时我们时刻保持专业、时尚、前沿，时刻以成就客户成长自我，坚持不断学习、思考、沉淀、净化自己，让我们为更多的企业打造出实用型网站。

声名狼藉的全表扫描--人们不惜一切视图避免的（曲解的）访问路径。
各种类型的索引扫描--这是人们感觉良好的访问路径（多数情况下是被曲解的）。
通过hash或者rowid的方式直接访问，通常对于单数据行来说，是最快的。

并没有一种访问路径是最好的，如果有，那么Oracle只需提供这一种访问路径就好了。

全表扫描

全扫描就是顺序的读取表中的所有数据块。采用多块读的方式，从头开始扫描表中的块，直到高水位线。全扫描是处理大数据量行之有效的方法。需要牢记：全扫描并不邪恶，多数情况下全扫描是获得结果的最快方法。

Oracle 学习之性能优化（六）访问路径

全扫描每次读取的块数由参数db_file_multiblock_read_count指定

SQL> show parameter db_file_mu NAME TYPE VALUE ------------------------------------ --------------------------------- ------------------------------ db_file_multiblock_read_count integer 128

2.rowid 访问

rowid是一行数据的物理位置，访问单行数据的速度是最快的。

SQL> select * from emp where rowid ='AAASZHAAEAAAACXAAN'; 7934 MILLER CLERK 7782 1982/01/23 00:00:00 1300 10

通过索引的方式访问数据，其实也是通过索引，先找到这行数据的rowid，然后再通过rowid访问数据。

SQL> set autotrace on traceonly SQL> select * from emp where empno=7934; Execution Plan ---------------------------------------------------------- Plan hash value: 2949544139 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 1 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 1 (0)| 00:00:01 | |* 2 | INDEX UNIQUE SCAN | PK_EMP | 1 | | 0 (0)| 00:00:01 | --------------------------------------------------------------------------------------

rowid还可以进行范围扫描。

SQL> select * from emp where rowid between 'AAASZHAAEAAAACXAAA' and 'AAASZHAAEAAAACXAAN'; 7369 SMITH CLERK 7902 1980/12/17 00:00:00 800 20 7499 ALLEN SALESMAN 7698 1981/02/20 00:00:00 1600 300 30 7521 WARD SALESMAN 7698 1981/02/22 00:00:00 1250 500 30 7566 JONES MANAGER 7839 1981/04/02 00:00:00 2975 20 7654 MARTIN SALESMAN 7698 1981/09/28 00:00:00 1250 1400 30 7698 BLAKE MANAGER 7839 1981/05/01 00:00:00 2850 30 7782 CLARK MANAGER 7839 1981/06/09 00:00:00 2450 10 7788 SCOTT ANALYST 7566 1987/04/19 00:00:00 3000 20 7839 KING PRESIDENT 1981/11/17 00:00:00 5000 10 7844 TURNER SALESMAN 7698 1981/09/08 00:00:00 1500 0 30 7876 ADAMS CLERK 7788 1987/05/23 00:00:00 1100 20 7900 JAMES CLERK 7698 1981/12/03 00:00:00 950 30 7902 FORD ANALYST 7566 1981/12/03 00:00:00 3000 20 7934 MILLER CLERK 7782 1982/01/23 00:00:00 1300 10 14 rows selected.

3. 索引扫描

索引扫描是最常见的数据访问之一，例如

我们下面主要以b-tree索引为例

Oracle 学习之性能优化（六）访问路径

索引唯一性扫描

优化器知道索引列的值是唯一的，查询结果只返回一行。这种索引的访问速度最快，找到一行数据就不再继续扫描索引，直接返回。

SQL> select * from emp where empno=7934; 7934 MILLER CLERK 7782 1982/01/23 00:00:00 1300 10 Execution Plan ---------------------------------------------------------- Plan hash value: 2949544139 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 1 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 1 (0)| 00:00:01 | |* 2 | INDEX UNIQUE SCAN | PK_EMP | 1 | | 0 (0)| 00:00:01 | --------------------------------------------------------------------------------------

实际上Oracle中并没有非唯一索引，在非唯一索引中，Oracle将数据的rowid添加到索引键中使其唯一。

索引范围扫描

SQL> set autot traceonly SQL> select empno from emp where empno<5000; no rows selected Execution Plan ---------------------------------------------------------- Plan hash value: 1567865628 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 1 (0)| 00:00:01 | |* 1 | INDEX RANGE SCAN| PK_EMP | 1 | 4 | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------

有取的是，索引可以按照两个方向去扫描索引

SQL> select empno from emp where empno<5000 order by empno; no rows selected Execution Plan ---------------------------------------------------------- Plan hash value: 1567865628 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 1 (0)| 00:00:01 | |* 1 | INDEX RANGE SCAN| PK_EMP | 1 | 4 | 1 (0)| 00:00:01 | --------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - access("EMPNO"<5000) SQL> select empno from emp where empno<5000 order by empno desc; no rows selected Execution Plan ---------------------------------------------------------- Plan hash value: 2474278666 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 1 (0)| 00:00:01 | |* 1 | INDEX RANGE SCAN DESCENDING| PK_EMP | 1 | 4 | 1 (0)| 00:00:01 | --------------------------------------------------------------------------------------

这个的好处是避免排序操作

如果你建立的是非唯一索引，即便你使用=查询，也是范围扫描

SQL> create index ind_emp_ename on emp(ename); Index created. SQL> select * from emp where ename='KING'; Execution Plan ---------------------------------------------------------- Plan hash value: 2929622481 --------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 2 (0)| 00:00:01 | |* 2 | INDEX RANGE SCAN | IND_EMP_ENAME | 1 | | 1 (0)| 00:00:01 | --------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("ENAME"='KING')

索引全扫描

索引全扫描，并不是扫描全部的索引。它实际上只需扫描索引的叶子节点。但是为了找到叶子节点的位置，也会扫描部分的分支节点。

我们看如下查询

SQL> select empno,ename from emp; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 3956160932 -------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 140 | 3 (0)| 00:00:01 | | 1 | TABLE ACCESS FULL| EMP | 14 | 140 | 3 (0)| 00:00:01 | --------------------------------------------------------------------------

查询列ename并不在索引中，所以走的是全表扫描。但是如果我们将语句做如下修改。

SQL> select empno,ename from emp order by empno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 4170700152 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 140 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 14 | 140 | 2 (0)| 00:00:01 | | 2 | INDEX FULL SCAN | PK_EMP | 14 | | 1 (0)| 00:00:01 | --------------------------------------------------------------------------------------

Oracle为了避免排序操作，而使用了索引全扫描。因为索引是有序的数据，并且索引全扫描是按顺序的单块读操作。

max和min

SQL> select max(empno) from emp; Execution Plan ---------------------------------------------------------- Plan hash value: 1707959928 ------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 1 (0)| 00:00:01 | | 1 | SORT AGGREGATE | | 1 | 4 | | | | 2 | INDEX FULL SCAN (MIN/MAX)| PK_EMP | 1 | 4 | 1 (0)| 00:00:01 |

该扫描使用了索引全扫描，但其实并非真正的全扫描，max和min限定词使得Oracle知道何时停止，它只是扫描高块或者最低块。

索引跳跃扫描

通常要使用索引，索引的前置列一定要出现在查询条件中。

SQL> create table t(a int,b int ,c int,d int,e int,f int,g int); SQL> create index t_idx on t(a,b,c);

通常情况下只有如下的查询才会使用索引

select * from t where a =:a; select * from t where a =:a and b =:b; select * from t where a =:a and b =:b and c =:c;

但是如下查询不会使用索引（除了使用hint强制索引全扫描）

select * from t where b =:b; select * from t where c =:c; select * from t where b =:b and c =:c;

Oracle 9i后实现了跳跃索引扫描，条件如下：

谓词中使用了索引中其他的列。
前置列值的DISTINCT_NUM比较少。

我们看看如下示例

SQL> create table t as 2 select mod(rownum,3) a,rownum b,rownum c,object_name d 3 from all_objects; Table created. SQL> create index t_idx on t(a,b,c); Index created. SQL> analyze table t compute statistics; Table analyzed. SQL> select * from t where b=1 and c=1; Execution Plan ---------------------------------------------------------- Plan hash value: 2053318169 ------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 34 | 5 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| T | 1 | 34 | 5 (0)| 00:00:01 | |* 2 | INDEX SKIP SCAN | T_IDX | 1 | | 4 (0)| 00:00:01 | ------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("B"=1 AND "C"=1) filter("B"=1 AND "C"=1) Statistics ---------------------------------------------------------- 1 recursive calls 0 db block gets 8 consistent gets 0 physical reads 0 redo size 724 bytes sent via SQL*Net to client 523 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed

因为a的值比较少，只有3个，Oracle把索引(a,b,c) 看成3个小索引。

索引快速全扫描

索引快速全扫描与索引全扫描明显的不同，它有如下特征

它读取索引中的每个块，包括所有分支块。
它采用多块读，像全表扫描一样。
它不按排序顺序扫描索引。

我们先建立一个表，并插入大量数据。

SQL> create table big_table as select * from dba_objects; Table created. SQL> insert into big_table select * from big_table; 74577 rows created. SQL> insert into big_table select * from big_table; 223731 rows created. SQL> / 447462 rows created. SQL> commit; Commit complete. SQL> alter table big_table modify object_id not null; Table altered. SQL> create index idx_big_table_objid on big_table(object_id); Index created. SQL> analyze table big_table compute statistics; Table analyzed.

执行如下查询

SQL> set autot traceonly SQL> select object_id from big_table; 894924 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 205523069 -------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 894K| 3495K| 544 (2)| 00:00:07 | | 1 | INDEX FAST FULL SCAN| IDX_BIG_TABLE_OBJID | 894K| 3495K| 544 (2)| 00:00:07 | -------------------------------------------------------------------------------------------- Statistics ---------------------------------------------------------- 15 recursive calls 0 db block gets 61534 consistent gets 2 physical reads 0 redo size 15755358 bytes sent via SQL*Net to client 656794 bytes received via SQL*Net from client 59663 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 894924 rows processed

查询使用的是索引快速全扫描。

有心的人可以思考一下，如下查询为啥没有使用索引快速全扫描，而使用了索引全扫描。

SQL> select empno from emp; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 179099197 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 56 | 1 (0)| 00:00:01 | | 1 | INDEX FULL SCAN | PK_EMP | 14 | 56 | 1 (0)| 00:00:01 | --------------------------------------------------------------------------- Statistics ---------------------------------------------------------- 0 recursive calls 0 db block gets 2 consistent gets 0 physical reads 0 redo size 686 bytes sent via SQL*Net to client 523 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 14 rows processed

索引连接

索引连接（index join）是在表中存在多个索引时针对某个查询所选中的索引路径。

我们看如下例子

SQL> create table t1 as select * from dba_objects; Table created. SQL> create index t1_idx1 on t1(object_id); Index created. SQL> create index t1_idx2 on t1(owner,object_type); Index created. SQL> analyze table t1 compute statistics; Table analyzed. SQL> set autot traceonly SQL> select object_id,owner,object_type from t1 2 where object_id between 100 and 2000 3 and owner='SYS'; 1478 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 2563395799 --------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 69 | 1173 | 18 (6)| 00:00:01 | |* 1 | VIEW | index$_join$_001 | 69 | 1173 | 18 (6)| 00:00:01 | |* 2 | HASH JOIN | | | | | | |* 3 | INDEX RANGE SCAN| T1_IDX1 | 69 | 1173 | 7 (15)| 00:00:01 | |* 4 | INDEX RANGE SCAN| T1_IDX2 | 69 | 1173 | 12 (9)| 00:00:01 | --------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter("OBJECT_ID"<=2000 AND "OWNER"='SYS' AND "OBJECT_ID">=100) 2 - access(ROWID=ROWID) 3 - access("OBJECT_ID">=100 AND "OBJECT_ID"<=2000) 4 - access("OWNER"='SYS') Statistics ---------------------------------------------------------- 1 recursive calls 0 db block gets 215 consistent gets 0 physical reads 0 redo size 32014 bytes sent via SQL*Net to client 1601 bytes received via SQL*Net from client 100 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1478 rows processed

优化器通过扫描T1_IDX1，T1_IDX2得到结果集，用两个结果集的rowid进行join运算，得到返回集。

这样避免扫描表。

另外有需要云服务器可以了解下创新互联cdcxhl.cn，海内外云服务器15元起步，三天无理由+7*72小时售后在线，公司持有idc许可证，提供“云服务器、裸金属服务器、高防服务器、香港服务器、美国服务器、虚拟主机、免备案服务器”等云主机租用服务以及企业上云的综合解决方案，具有“安全稳定、简单易用、服务可用性高、性价比高”等特点与优势，专为企业上云打造定制，能够满足用户丰富、多元化的应用场景需求。

新闻名称：Oracle学习之性能优化（六）访问路径-创新互联
路径分享：https://www.cdcxhl.com/article6/cejsig.html

成都网站建设公司_创新互联，为您提供建站公司、网站排名、品牌网站设计、网站设计公司、品牌网站制作、网站改版

声明：本网站发布的内容（图片、视频和文字）以用户投稿、用户转载内容为主，如果涉及侵权请尽快告知，我们将会在第一时间删除。文章观点不代表本网站立场，如需处理请联系客服。电话：028-86922220；邮箱：631063699@qq.com。内容未经允许不得转载，或转载时需注明来源：创新互联

猜你还喜欢下面的内容