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sql sql 快速参考手册 SQL 快速参考

2023-03-10 12:17 MySQL教程

sql sql 快速参考手册 SQL 快速参考

sql sql 快速参考手册

SQL(Structured Query Language)是一种用于访问和处理数据库的标准语言。它可以用来查询、更新和管理数据库中的数据。SQL快速参考手册是一本关于SQL语言的参考书,它包含了SQL语言的所有基本知识,以及如何使用它来进行数据库开发。

SQL快速参考手册主要包含以下内容:

1. SQL 基础知识:包括 SQL 语法、数据类型、表达式、函数、子查询等。 
2. 数据库对象:包括表、视图、存储过程、函数、触发器等。 
3. 数据库开发:包括创建表、删除表、修改表结构、创建存储过程、创建函数以及使用 SQL 语句进行 CRUD 操作。 
4. 数据库优化:包含如何优化 SQL 语句以及如何使用合适的索引来加快 SQL 执行速度。 
5. 常用命令:包含常用的 SQL 命令如 SELECT 、 INSERT 、 UPDATE 等。

此外,SQL快速参考手册还会介绍一些常用的工具,例如 MySQL Workbench 和 phpMyAdmin 等工具的使用方法。此外,书中还会有一些实例代码来帮助读者理解并学习 SQL 语法。

SQL 快速参考

来自 W3CSchool 的 SQL 快速参考


SQL 语句 语法
AND / OR SELECT column_name(s)
FROM table_name
WHERE condition
AND|OR condition
ALTER TABLE ALTER TABLE table_name
ADD column_name datatype

or

ALTER TABLE table_name
DROP COLUMN column_name

AS (alias) SELECT column_name AS column_alias
FROM table_name

or

SELECT column_name
FROM table_name AS table_alias

BETWEEN SELECT column_name(s)
FROM table_name
WHERE column_name
BETWEEN value1 AND value2
CREATE DATABASE CREATE DATABASE database_name
CREATE TABLE CREATE TABLE table_name
(
column_name1 data_type,
column_name2 data_type,
column_name2 data_type,
...
)
CREATE INDEX CREATE INDEX index_name
ON table_name (column_name)

or

CREATE UNIQUE INDEX index_name
ON table_name (column_name)

CREATE VIEW CREATE VIEW view_name AS
SELECT column_name(s)
FROM table_name
WHERE condition
DELETE DELETE FROM table_name
WHERE some_column=some_value

or

DELETE FROM table_name
(Note: Deletes the entire table!!)

DELETE * FROM table_name
(Note: Deletes the entire table!!)

DROP DATABASE DROP DATABASE database_name
DROP INDEX DROP INDEX table_name.index_name (SQL Server)
DROP INDEX index_name ON table_name (MS Access)
DROP INDEX index_name (DB2/Oracle)
ALTER TABLE table_name
DROP INDEX index_name (MySQL)
DROP TABLE DROP TABLE table_name
GROUP BY SELECT column_name, aggregate_function(column_name)
FROM table_name
WHERE column_name operator value
GROUP BY column_name
HAVING SELECT column_name, aggregate_function(column_name)
FROM table_name
WHERE column_name operator value
GROUP BY column_name
HAVING aggregate_function(column_name) operator value
IN SELECT column_name(s)
FROM table_name
WHERE column_name
IN (value1,value2,..)
INSERT INTO INSERT INTO table_name
VALUES (value1, value2, value3,....)

or

INSERT INTO table_name
(column1, column2, column3,...)
VALUES (value1, value2, value3,....)

INNER JOIN SELECT column_name(s)
FROM table_name1
INNER JOIN table_name2
ON table_name1.column_name=table_name2.column_name
LEFT JOIN SELECT column_name(s)
FROM table_name1
LEFT JOIN table_name2
ON table_name1.column_name=table_name2.column_name
RIGHT JOIN SELECT column_name(s)
FROM table_name1
RIGHT JOIN table_name2
ON table_name1.column_name=table_name2.column_name
FULL JOIN SELECT column_name(s)
FROM table_name1
FULL JOIN table_name2
ON table_name1.column_name=table_name2.column_name
LIKE SELECT column_name(s)
FROM table_name
WHERE column_name LIKE pattern
ORDER BY SELECT column_name(s)
FROM table_name
ORDER BY column_name [ASC|DESC]
SELECT SELECT column_name(s)
FROM table_name
SELECT * SELECT *
FROM table_name
SELECT DISTINCT SELECT DISTINCT column_name(s)
FROM table_name
SELECT INTO SELECT *
INTO new_table_name [IN externaldatabase]
FROM old_table_name

or

SELECT column_name(s)
INTO new_table_name [IN externaldatabase]
FROM old_table_name

SELECT TOP SELECT TOP number|percent column_name(s)
FROM table_name
TRUNCATE TABLE TRUNCATE TABLE table_name
UNION SELECT column_name(s) FROM table_name1
UNION
SELECT column_name(s) FROM table_name2
UNION ALL SELECT column_name(s) FROM table_name1
UNION ALL
SELECT column_name(s) FROM table_name2
UPDATE UPDATE table_name
SET column1=value, column2=value,...
WHERE some_column=some_value
WHERE SELECT column_name(s)
FROM table_name
WHERE column_name operator value

来源://www..cn/sql/sql-quickref.html


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