我的oracle9i学习笔记

############## Create Views #####################

CREATE [OR REPLACE] [FORCE|NOFORCE] VIEW view_name [(alias[,alias]...)]

AS subquery

[WITH CHECK OPTION [CONSTRAINT constraint_name]]

[WITH READ ONLY [CONSTRAINT constraint_name]]; ------创建视图的语法

example: Create or replace view testview as select col1,col2,col3 from table_name; ------创建视图

/*使用别名*/

Create or replace view testview as select col1,sum(col2) col2_alias from table_name;

/*创建复杂视图*/

Create view view_name (alias1,alias2,alias3,alias4) as select d.col1,min(e.col1),max(e.col1),avg(e.col1) from table_name1 e,table_name2 d where e.col2=d.col2 group by d.col1;

/*当用update修改数据时，必须满足视图的col1>;10的条件，不满足则不能被改变.*/

Create or replace view view_name as select * from table_name where col1>;10 with check option;

/*改变视图的值.对于简单视图可以用update语法修改表数据，但复杂视图则不一定能改。如使用了函数，group by ,distinct等的列*/

update view_name set col1=value1;

/*TOP-N分析*/

select [column_list],rownum from (select [column_list] from table_name order by Top-N_column) where rownum<=N;

/*找出某列三条最大值的记录*/

example: select rownum as rank ,col1 ,col2 from (select col1 ,col2 from table_name order by col2 desc) where rownum<=3;

############# Other database Object ###############

CREATE SEQUENCE sequence_name [INCREMENT BY n]

[START WITH n]

[{MAXVALUE n | NOMAXVALUE}]

[{MINVALUE n | NOMINVALUE}]

[{CYCEL | NOCYCLE}]

[{CACHE n | NOCACHE}]; -----创建SEQUENCE

example:

CREATE SEQUENCE sequence_name INCREMENT BY 10

START WITH 120

MAXVALUE 9999

NOCACHE

NOCYCLE;

select * from user_sequences ;---当前用户下记录sequence的视图

select sequence_name.nextval,sequence_name.currval from dual;-----sequence的引用

alter sequence sequence_name INCREMENT BY 20

MAXVALUE 999999

NOCACHE

NOCYCLE; -----修改sequence,不能改变起始序号

drop sequence sequence_name; ----删除sequence

CREATE [PUBLIC] SYNONYM synonym_name FOR object; ------创建同义词

DROP [PUBLIC] SYNONYM synonym_name;----删除同义词

CREATE PUBLIC DATABASE LINK link_name USEING OBJECT;----创建DBLINK

select * from object_name@link_name; ----访问远程数据库中的对象

/*union 操作，它将两个集合的交集部分压缩，并对数据排序*/

select col1,col2,col3 from table1_name union select col1,col2,col3 from table2_name;

/*union all 操作，两个集合的交集部分不压缩，且不对数据排序*/

select col1,col2,col3 from table1_name union all select col1,col2,col3 from table2_name;

/*intersect 操作，求两个集合的交集,它将对重复数据进行压缩，且排序*/

select col1,col2,col3 from table1_name intersect select col1,col2,col3 from table2_name;

/*minus 操作，集合减,它将压缩两个集合减后的重复记录, 且对数据排序*/

select col1,col2,col3 from table1_name minus select col1,col2,col3 from table2_name;

/*EXTRACT 抽取时间函数. 此例是抽取当前日期中的年*/

select EXTRACT(YEAR FROM SYSDATE) from dual;

/*EXTRACT 抽取时间函数. 此例是抽取当前日期中的月*/

select EXTRACT(MONTH FROM SYSDATE) from dual;

########################## 增强的 group by 子句 #########################

select [column,] group_function(column)...

from table

[WHERE condition]

[GROUP BY [ROLLUP] group_by_expression]

[HAVING having_expression];

[ORDER BY column]; -------ROLLUP操作字，对group by子句的各字段从右到左进行再聚合

example:

/*其结果看起来象对col1做小计*/

select col1,col2,sum(col3) from table group by rollup(col1,col2);

/*复合rollup表达式*/

select col1,col2,sum(col3) from table group by rollup((col1,col2));

select [column,] group_function(column)...

from table

[WHERE condition]

[GROUP BY [CUBE] group_by_expression]

[HAVING having_expression];

[ORDER BY column]; -------CUBE操作字，除完成ROLLUP的功能外，再对ROLLUP后的结果集从右到左再聚合

example:

/*其结果看起来象对col1做小计后，再对col2做小计，最后算总计*/

select col1,col2,sum(col3) from table group by cube(col1,col2);

/*复合rollup表达式*/

select col1,col2,sum(col3) from table group by cube((col1,col2));

/*混合rollup,cube表达式*/

select col1,col2,col3,sum(col4) from table group by col1,rollup(col2),cube(col3);

/*GROUPING(expr)函数，查看select语句种以何字段聚合，其取值为0或1*/

select [column,] group_function(column)...,GROUPING(expr)

from table

[WHERE condition]

[GROUP BY [ROLLUP] group_by_expression]

[HAVING having_expression];

[ORDER BY column];

example:

select col1,col2,sum(col3),grouping(col1),grouping(col2) from table group by cube(col1,col2);

/*grouping sets操作，对group by结果集先对col1求和，再对col2求和，最后将其结果集并在一起*/

select col1,col2,sum(col3) from table group by grouping sets((col1),(col2))

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