Oracle 数据库对象又称模式对象,数据库对象是逻辑结构的集合,最基本的数据库对象是表。
其他数据库对象包括:
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" alt="" width="413" height="109" />
同义词
同义词是现有对象的一个别名。它的作用有:
1.简化SQL语句
2.隐藏对象的名称和所有者(隐藏原始对象内容)
3.提供对对象的公共访问
同义词共有两种类型:
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" 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公有同义词可被所有的数据库用户访问。
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" alt="" width="390" height="125" />
私有同义词只能在其模式内访问,且不能与当前模式的对象同名。
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" alt="" width="383" height="120" />
创建或替换现有同义词
create or replace synonym emp_syn for scott.emp;
删除同义词
drop synonym emp;
drop public synonym emp_syn
使用同义词
Create public synonym Newer for scott.emp2;
Select * from Newer ;
序列
序列是用于生成唯一、连续序号的对象,序列可以是升序的,也可以是降序的,可以用于表示数据的数量。我们可以使用CREATE SEQUENCE语句创建序列。
Create sequence 序列名
Start with 1 --指序列开始大小,默认为1
Increment by 1 --每次的增量,默认为1
Maxvalue 2000 --序列的最大数
Minvalue 1 --序列的最小数
Nocycle --当序列最大了将不再生成整数(默认)
Cache 10; --保留在内存中整数的个数,默认20
注意:序列在使用的时候,如果给的是主键,为防止出现不连续的情况,应该设置为NOCACHE。
从user_sequences中查出所有的序列信息。
select * from user_sequences;
通过序列的伪列来访问序列的值
1.NEXTVAL 返回序列的下一个值
2.CURRVAL 返回序列的当前值
注意:序列在使用的时候,如果给的是主键,为防止出现不连续的情况,应该设置为NOCACHE。
INSERT INTO toys (toyid, toyname, toyprice)
VALUES ( toys_seq.NEXTVAL, ‘TWENTY’, 25);
INSERT INTO toys (toyid, toyname, toyprice)
VALUES ( toys_seq.NEXTVAL, ’MAGIC PENCIL’, 75);
--toys_seq.NEXTVAL 指定序列的下一个值
SELECT toys_seq.CURRVAL FROM dual; --检索序列的当前值
使用ALTER SEQUENCE语句修改序列,不能更改序列的START WITH参数
ALTER SEQUENCE toys_seq MAXVALUE 5000 CYCLE;
使用DROP SEQUENCE语句删除序列
视图以经过定制的方式显示来自一个或多个表的数据,视图可以视为“虚拟表”或“存储的查询”,创建视图所依据的表称为“基表”。
视图的优点有:
1.提供了另外一种级别的表安全性
2.隐藏的数据的复杂性
3.简化的用户的SQL命令
4.隔离基表结构的改变
5.通过重命名列,从另一个角度提供数据
例:
aaarticlea/png;base64,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" alt="" width="481" height="100" />
CREATE VIEW stud_view AS SELECT studno, studname, subno FROM Stud_details;
通过这个视图,查询到的结果:
aaarticlea/png;base64,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" alt="" width="388" height="89" />
创建视图
创建视图的语法:
CREATE [OR REPLACE] [FORCE] VIEW
view_name [(alias[, alias]...)]
AS select_statement
[WITH CHECK OPTION][CONSTRAINT C_NAME]
[WITH READ ONLY]; --禁止对表进行更新删除操作
--W ITH CHECK OPTION CONSTRAINT _NAME :表示增加一个检查约束,INSERT和UPDATE时候必须要求:
--INSERT时候要求插入的数据必须符合定义时候设置的where条件一致,UPDATE 时候只能改除where条件列以外的其他数据列或者修改的条件列的值符合where条件
--
使用 WITH CHECK OPTION 选项创建视图
create or replace view pause_view as
select * from order_master WHERE ostatus = 'p'
with check option constaint chk_pv;
使用 ORDER BY 子句创建视图
create or replace view ord_ven as
select * from vendor_master order by venname;
联接视图:两个表的结果
create view Stud_sub_view as
select Studno, Studname, Submrks, Subname
from Stud_details, Sub_Details
where Stud_details.Subno=Sub_details.Subno;
创建外联接视图
CREATE VIEW ven_ord_outj_view AS
SELECT vm.vencode, venname, orderno, odate, ostatus
FROM vendor_master vm, order_master om
WHERE vm.vencode = om.vencode(+);
等同于
SELECT vm.vencode, venname, orderno, odate, ostatus
FROM vendor_master vm LEFT OUTER JOIN order_master om
ON vm.vencode = om.vencode;
视图上的DML语句
在视图上也可以使用修改数据的DML语句,如INSERT、UPDATE和DELETE
视图上的DML语句有如下限制:
1.只能修改一个底层的基表
2.如果修改违反了基表的约束条件,则无法更新视图
3.如果视图包含连接操作符、DISTINCT 关键字、集合操作符、聚合函数或 GROUP BY 子句,则将无法更新视图
4.如果视图包含伪列或表达式,则将无法更新视图
如果往视图中添加数据,数据可以添加到基表,但如果插入的数据不符合视图的where等条件的要求,则视图中不会显示。如果希望插入的数据要符合视图定义的时候,where要确则需要添加参数。
如果要从视图中删除基表的数据,被删除的这条数据必须符合视图的查询条件,才能通过视图删除该数据。
键保留表
键保留表是理解连接视图修改限制的一个基本概念。该表的主键列全部显示在视图中,并且它们的值在视图中都是唯一且非空的。也就是说,表的键值在一个连接视图中也是键值,那么就称这个表为键保留表。
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" alt="" width="462" height="312" />
因为 Studno 既是Stud_details 中的主键,也是联接结果中的主键,因此Stud_details是键保留表
视图中的函数
CREATE VIEW item_view AS
SELECT itemcode, LOWER(itemdesc) item_desc
FROM itemfile;
删除视图
索引
索引是与表相关的一个可选结构,使用索引可以提高 SQL 语句执行的性能,减少磁盘I/O,索引在逻辑上和物理上都独立于表的数据,Oracle 能够自动维护索引。
索引的原理:索引的工作原理是与一个叫做ROWID的概念紧密相关的,Oracle在创建数据表时,默认会为每个数据表建立一个隐含字段,叫ROWID。在向数据表中插入记录时,系统将自动为每条记录分配惟一的一个ROWID号,利用这个ROWID号,就可以快速定位到记录。
操作索引
使用 CREATE INDEX 语句创建索引:
创建标准索引:Create index 索引名 on 表名(列名);
CREATE INDEX item_index ON itemfile (itemcode)
TABLESPACE index_tbs;
重建索引
ALTER INDEX item_index REBUILD;
删除索引
索引的类型
索引有各种类型,除了标准索引外,还有一些特殊类型的索引:
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" alt="" width="450" height="149" />
唯一索引
唯一索引确保在定义索引的列中没有重复值,Oracle 自动在表的主键列上创建唯一索引
使用CREATE UNIQUE INDEX语句创建唯一索引
CREATE UNIQUE INDEX item_index
ON itemfile (itemcode);
组合索引
组合索引是在表的多个列上创建的索引,索引中列的顺序是任意的,如果 SQL 语句的 WHERE 子句中引用了组合索引的所有列或大多数列,则可以提高检索速度。
CREATE INDEX comp_index
ON itemfile(p_category, itemrate);
反向键索引
反向键索引反转索引列键值的每个字节,通常建立在值是连续增长的列上,可以使数据均匀地分布在整个索引上
创建索引时使用REVERSE关键字
CREATE INDEX rev_index
ON itemfile (itemcode) REVERSE;
ALTER INDEX rev_index REBUID NOREVERSE;
位图索引
位图索引适合创建在低基数列上,位图索引不直接存储ROWID,而是存储字节位到ROWID的映射,使用位图索引可以减少响应时间,节省空间占用。
CREATE BITMAP INDEX bit_index
ON order_master (orderno);
索引组织表
索引组织表的数据存储在与其关联的索引中,索引中存储的是行的实际数据,而不是ROWID,它基于主键访问数据。
CREATE TABLE 命令与 ORGANIZATION INDEX 子句一起用于创建索引组织表。
CREATE TABLE ind_org_tab (
vencode NUMBER(4) PRIMARY KEY,
venname VARCHAR2(20)
)
ORGANIZATION INDEX;
普通表与索引组织表的比较
普通表
|
索引组织表
|
ROWID 唯一地标识行
|
主键唯一地标识行
|
隐式的 ROWID 列
|
没有隐式的 ROWID 列
|
基于 ROWID 的访问
|
基于主键的访问
|
顺序扫描返回所有行
|
完全索引扫描返回所有行,并按主键顺序排列
|
支持分区
|
不支持分区
|
基于函数的索引
基于一个或多个列上的函数或表达式创建的索引,表达式中不能出现聚合函数,不能在LOB类型的列上创建,创建时必须具有 QUERY REWRITE 权限,当查询使用了函数的时候,索引将不再使用,所以要建立函数索引。
CREATE INDEX lowercase_idx
ON toys (LOWER(toyname));
SELECT toyid FROM toys
WHERE LOWER(toyname)='doll';
索引中的分区
我们可以将索引存储在不同的分区中。
与分区有关的索引有三种类型:
1.局部分区索引 - 在分区表上创建的索引,在每个表分区上创建独立的索引,索引的分区范围与表一致
2.全局分区索引 - 在分区表或非分区表上创建的索引,索引单独指定分区的范围,与表的分区范围或是否分区无关
3.全局非分区索引 - 在分区表上创建的全局普通索引,索引没有被分区
获取索引的信息
与索引有关的数据字典视图有:
1.USER_INDEXES - 用户创建的索引的信息
2.USER_IND_PARTITIONS - 用户创建的分区索引的信息
3.USER_IND_COLUMNS - 与索引相关的表列的信息
SELECT INDEX_NAME, TABLE_NAME, COLUMN_NAME
FROM USER_IND_COLUMNS
ORDER BY INDEX_NAME, COLUMN_POSITION;
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