JOINs are essential operations in relational databases. They create a link between rows based on common values and allow the meaningful combination of these rows. CrateDB supports joins and due to its distributed nature allows you to work with larg
SQLite 存储类型 1.NULL 2.INTEGER 3.REAL 4.TEXT 5.BLOB 创建表 CREATE TABLE COMPANY( ID INT PRIMARY KEY NOT NULL, NAME TEXT NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(50), SALARY REAL ); 删除数据表 DROP TABLE COMPANY; 插入数据表 1.方式一 INSERT INTO COMPANY (ID,NAME,AGE,ADD
SQL Server T-SQL高级查询 高级查询在数据库中用得是最频繁的,也是应用最广泛的. Ø 基本常用查询 --select select * from student; --all 查询所有 select all sex from student; --distinct 过滤重复 select distinct sex from student; --count 统计 select count(*) from student; select count(sex) from student
基本常用查询 --select select * from student; --all 查询所有 select all sex from student; --distinct 过滤重复 select distinct sex from student; --count 统计 select count(*) from student; select count(sex) from student; select count(distinct sex) from student; --top 取
name like 'ja%'; select * from student where name not like '%[j,n]%'; select * from student where name like '%[j,n,a]%'; select * from student where name like '%[^ja,as,on]%'; select * from student where name like '%[ja_on]%'; --in 子查询 , ); --not in
一. 多张表之间的查询: join/inner join on inner join 是比较运算符,只返回符合条件的行. left/outer join on 左外连接包含left join左表所有行,如果左表中某行在右表没有匹配,则结果中对应行右表的部分全部为空(NULL). right/outer join on 右外连接包含right join右表所有行,如果左表中某行在右表没有匹配,则结果中对应左表的部分全部为空(NULL). full / full outer join on完全外
SQL Server T-SQL高级查询 高级查询在数据库中用得是最频繁的,也是应用最广泛的. Ø 基本常用查询 --select select * from student; //查询student表中所有字段. --all 查询所有 select all sex from student; --distinct 过滤重复 select distinct sex from student; --count 统计 select count(*) from student; selec
commands : show sys connect sys as sysdba or connect system as sysdba logout or disc clear screen or cle screen (utlsample.sql —> unlock scott tables.sql —> all tables data.sql —> add data into tables) connect scott/tiger start C:\utlsample.sq
高级查询在数据库中用得是最频繁的,也是应用最广泛的. Ø 基本常用查询 --select select * from student; --all 查询所有 select all sex from student; --distinct 过滤重复 select distinct sex from student; --count 统计 select count(*) from student; select count(sex) from student; select count(di