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 |
| AS (alias) | SELECT column_name AS column_alias FROM table_name or SELECT column_name |
| 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 |
| 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 DELETE * FROM table_name |
| 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 |
| 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) |
| 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 |
点击查看所有 SQL 教程 文章: https://www.codercto.com/courses/l/29.html
Python高性能（第2版）
[加] 加布丽埃勒•拉纳诺（Gabriele Lanaro） / 袁国忠 / 人民邮电出版社 / 2018-8 / 59.00元
本书是一本Python性能提升指南，展示了如何利用Python的原生库以及丰富的第三方库来构建健壮的应用程序。书中阐释了如何利用各种剖析器来找出Python应用程序的性能瓶颈，并应用正确的算法和高效的数据结构来解决它们；介绍了如何有效地利用NumPy、Pandas和Cython高性能地执行数值计算；解释了异步编程的相关概念，以及如何利用响应式编程实现响应式应用程序；概述了并行编程的概念，并论述了如......一起来看看 《Python高性能（第2版）》 这本书的介绍吧!
