登录退出MySQL

  • 登录命令
mysql -u 用户名 -p 密码 -h IP -P 端口
mysql -u root -p password -h 127.0.0.1 -P 3306
  • 一般登录命令
mysql -u 用户名 -p 密码
mysql -u root -p #如果在-p后没有提供密码,则会在执行命令后要求用户输入密码

完整的命令行选项和参数列表可以用mysql --help获得。

  • 退出命令
quit 或 exit

注意事项

  • 命令用 ; 或 \g 结束,换句话说,Enter不执行命令;
  • 输入 help 或 \h 获得帮助,也可以输入更多的文本获得特定命令帮助;
  • 想要取消命令重新输入的话直接输入\c;
  • 主机名如果连接到本地服务器,为localhost;
  • 默认端口为3306;

导入到处数据

  • 导出整个数据库中的所有数据
mysql -u root -p  dabaseName > fileName.sql	#fileName.sql最好加上路径名
  • 导出数据库中的某个表的数据
mysqldump -u userName -p  dabaseName tableName > fileName.sql
  • 导出整个数据库中的所有的表结构
mysqldump -u userName -p -d dabaseName  > fileName.sql
  • 导出整个数据库中某个表的表结构
mysqldump -u userName -p -d dabaseName tableName > fileName.sql
  • 导入mysql
mysql -uroot -p database < fileName.sql	#注意fileName.sql要有路径名
  • 导入mysql
mysql>source fileName.sql	#注意fileName.sql要有路径名
  • 这里有官方sql代码,试着导入MySQL,以下将以这个为例。
/*
Navicat Premium Data Transfer Source Server : localhost_3306
Source Server Type : MySQL
Source Server Version : 50612
Source Host : localhost:3306
Source Schema : zlx_mysql Target Server Type : MySQL
Target Server Version : 50612
File Encoding : 65001 Date: 19/12/2019 23:03:46
*/ SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0; -- ----------------------------
-- Table structure for customers
-- ----------------------------
DROP DATABASE IF EXISTS customers;
CREATE DATABASE IF NOT EXISTS customers;
use customers;
DROP TABLE IF EXISTS `customers`;
CREATE TABLE `customers` (
`cust_id` int(11) NOT NULL AUTO_INCREMENT,
`cust_name` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NOT NULL,
`cust_address` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`cust_city` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`cust_state` char(5) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`cust_zip` char(10) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`cust_country` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`cust_contact` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`cust_email` char(255) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
PRIMARY KEY (`cust_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 10006 CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Compact; -- ----------------------------
-- Records of customers
-- ----------------------------
INSERT INTO `customers` VALUES (10001, 'Coyote Inc.', '200 Maple Lane', 'Detroit', 'MI', '44444', 'USA', 'Y Lee', 'ylee@coyote.com');
INSERT INTO `customers` VALUES (10002, 'Mouse House', '333 Fromage Lane', 'Columbus', 'OH', '43333', 'USA', 'Jerry Mouse', NULL);
INSERT INTO `customers` VALUES (10003, 'Wascals', '1 Sunny Place', 'Muncie', 'IN', '42222', 'USA', 'Jim Jones', 'rabbit@wascally.com');
INSERT INTO `customers` VALUES (10004, 'Yosemite Place', '829 Riverside Drive', 'Phoenix', 'AZ', '88888', 'USA', 'Y Sam', 'sam@yosemite.com');
INSERT INTO `customers` VALUES (10005, 'E Fudd', '4545 53rd Street', 'Chicago', 'IL', '54545', 'USA', 'E Fudd', NULL); -- ----------------------------
-- Table structure for orderitems
-- ----------------------------
DROP TABLE IF EXISTS `orderitems`;
CREATE TABLE `orderitems` (
`order_num` int(11) NOT NULL,
`order_item` int(11) NOT NULL,
`prod_id` char(10) CHARACTER SET latin1 COLLATE latin1_swedish_ci NOT NULL,
`quantity` int(11) NOT NULL,
`item_price` decimal(8, 2) NOT NULL,
PRIMARY KEY (`order_num`, `order_item`) USING BTREE,
INDEX `fk_orderitems_products`(`prod_id`) USING BTREE,
CONSTRAINT `fk_orderitems_products` FOREIGN KEY (`prod_id`) REFERENCES `products` (`prod_id`) ON DELETE RESTRICT ON UPDATE RESTRICT,
CONSTRAINT `fk_orderitems_orders` FOREIGN KEY (`order_num`) REFERENCES `orders` (`order_num`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Compact; -- ----------------------------
-- Records of orderitems
-- ----------------------------
INSERT INTO `orderitems` VALUES (20005, 1, 'ANV01', 10, 5.99);
INSERT INTO `orderitems` VALUES (20005, 2, 'ANV02', 3, 9.99);
INSERT INTO `orderitems` VALUES (20005, 3, 'TNT2', 5, 10.00);
INSERT INTO `orderitems` VALUES (20005, 4, 'FB', 1, 10.00);
INSERT INTO `orderitems` VALUES (20006, 1, 'JP2000', 1, 55.00);
INSERT INTO `orderitems` VALUES (20007, 1, 'TNT2', 100, 10.00);
INSERT INTO `orderitems` VALUES (20008, 1, 'FC', 50, 2.50);
INSERT INTO `orderitems` VALUES (20009, 1, 'FB', 1, 10.00);
INSERT INTO `orderitems` VALUES (20009, 2, 'OL1', 1, 8.99);
INSERT INTO `orderitems` VALUES (20009, 3, 'SLING', 1, 4.49);
INSERT INTO `orderitems` VALUES (20009, 4, 'ANV03', 1, 14.99); -- ----------------------------
-- Table structure for orders
-- ----------------------------
DROP TABLE IF EXISTS `orders`;
CREATE TABLE `orders` (
`order_num` int(11) NOT NULL AUTO_INCREMENT,
`order_date` datetime(0) NOT NULL,
`cust_id` int(11) NOT NULL,
PRIMARY KEY (`order_num`) USING BTREE,
INDEX `fk_orders_customers`(`cust_id`) USING BTREE,
CONSTRAINT `fk_orders_customers` FOREIGN KEY (`cust_id`) REFERENCES `customers` (`cust_id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB AUTO_INCREMENT = 20010 CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Compact; -- ----------------------------
-- Records of orders
-- ----------------------------
INSERT INTO `orders` VALUES (20005, '2005-09-01 00:00:00', 10001);
INSERT INTO `orders` VALUES (20006, '2005-09-12 00:00:00', 10003);
INSERT INTO `orders` VALUES (20007, '2005-09-30 00:00:00', 10004);
INSERT INTO `orders` VALUES (20008, '2005-10-03 00:00:00', 10005);
INSERT INTO `orders` VALUES (20009, '2005-10-08 00:00:00', 10001); -- ----------------------------
-- Table structure for productnotes
-- ----------------------------
DROP TABLE IF EXISTS `productnotes`;
CREATE TABLE `productnotes` (
`note_id` int(11) NOT NULL AUTO_INCREMENT,
`prod_id` char(10) CHARACTER SET latin1 COLLATE latin1_swedish_ci NOT NULL,
`note_date` datetime(0) NOT NULL,
`note_text` text CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL,
PRIMARY KEY (`note_id`) USING BTREE,
FULLTEXT INDEX `note_text`(`note_text`)
) ENGINE = MyISAM AUTO_INCREMENT = 115 CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Dynamic; -- ----------------------------
-- Records of productnotes
-- ----------------------------
INSERT INTO `productnotes` VALUES (101, 'TNT2', '2005-08-17 00:00:00', 'Customer complaint:\r\nSticks not individually wrapped, too easy to mistakenly detonate all at once.\r\nRecommend individual wrapping.');
INSERT INTO `productnotes` VALUES (102, 'OL1', '2005-08-18 00:00:00', 'Can shipped full, refills not available.\r\nNeed to order new can if refill needed.');
INSERT INTO `productnotes` VALUES (103, 'SAFE', '2005-08-18 00:00:00', 'Safe is combination locked, combination not provided with safe.\r\nThis is rarely a problem as safes are typically blown up or dropped by customers.');
INSERT INTO `productnotes` VALUES (104, 'FC', '2005-08-19 00:00:00', 'Quantity varies, sold by the sack load.\r\nAll guaranteed to be bright and orange, and suitable for use as rabbit bait.');
INSERT INTO `productnotes` VALUES (105, 'TNT2', '2005-08-20 00:00:00', 'Included fuses are short and have been known to detonate too quickly for some customers.\r\nLonger fuses are available (item FU1) and should be recommended.');
INSERT INTO `productnotes` VALUES (106, 'TNT2', '2005-08-22 00:00:00', 'Matches not included, recommend purchase of matches or detonator (item DTNTR).');
INSERT INTO `productnotes` VALUES (107, 'SAFE', '2005-08-23 00:00:00', 'Please note that no returns will be accepted if safe opened using explosives.');
INSERT INTO `productnotes` VALUES (108, 'ANV01', '2005-08-25 00:00:00', 'Multiple customer returns, anvils failing to drop fast enough or falling backwards on purchaser. Recommend that customer considers using heavier anvils.');
INSERT INTO `productnotes` VALUES (109, 'ANV03', '2005-09-01 00:00:00', 'Item is extremely heavy. Designed for dropping, not recommended for use with slings, ropes, pulleys, or tightropes.');
INSERT INTO `productnotes` VALUES (110, 'FC', '2005-09-01 00:00:00', 'Customer complaint: rabbit has been able to detect trap, food apparently less effective now.');
INSERT INTO `productnotes` VALUES (111, 'SLING', '2005-09-02 00:00:00', 'Shipped unassembled, requires common tools (including oversized hammer).');
INSERT INTO `productnotes` VALUES (112, 'SAFE', '2005-09-02 00:00:00', 'Customer complaint:\r\nCircular hole in safe floor can apparently be easily cut with handsaw.');
INSERT INTO `productnotes` VALUES (113, 'ANV01', '2005-09-05 00:00:00', 'Customer complaint:\r\nNot heavy enough to generate flying stars around head of victim. If being purchased for dropping, recommend ANV02 or ANV03 instead.');
INSERT INTO `productnotes` VALUES (114, 'SAFE', '2005-09-07 00:00:00', 'Call from individual trapped in safe plummeting to the ground, suggests an escape hatch be added.\r\nComment forwarded to vendor.'); -- ----------------------------
-- Table structure for products
-- ----------------------------
DROP TABLE IF EXISTS `products`;
CREATE TABLE `products` (
`prod_id` char(10) CHARACTER SET latin1 COLLATE latin1_swedish_ci NOT NULL,
`vend_id` int(11) NOT NULL,
`prod_name` char(255) CHARACTER SET latin1 COLLATE latin1_swedish_ci NOT NULL,
`prod_price` decimal(8, 2) NOT NULL,
`prod_desc` text CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL,
PRIMARY KEY (`prod_id`) USING BTREE,
INDEX `fk_products_vendors`(`vend_id`) USING BTREE,
CONSTRAINT `fk_products_vendors` FOREIGN KEY (`vend_id`) REFERENCES `vendors` (`vend_id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Compact; -- ----------------------------
-- Records of products
-- ----------------------------
INSERT INTO `products` VALUES ('ANV01', 1001, '.5 ton anvil', 5.99, '.5 ton anvil, black, complete with handy hook');
INSERT INTO `products` VALUES ('ANV02', 1001, '1 ton anvil', 9.99, '1 ton anvil, black, complete with handy hook and carrying case');
INSERT INTO `products` VALUES ('ANV03', 1001, '2 ton anvil', 14.99, '2 ton anvil, black, complete with handy hook and carrying case');
INSERT INTO `products` VALUES ('DTNTR', 1003, 'Detonator', 13.00, 'Detonator (plunger powered), fuses not included');
INSERT INTO `products` VALUES ('FB', 1003, 'Bird seed', 10.00, 'Large bag (suitable for road runners)');
INSERT INTO `products` VALUES ('FC', 1003, 'Carrots', 2.50, 'Carrots (rabbit hunting season only)');
INSERT INTO `products` VALUES ('FU1', 1002, 'Fuses', 3.42, '1 dozen, extra long');
INSERT INTO `products` VALUES ('JP1000', 1005, 'JetPack 1000', 35.00, 'JetPack 1000, intended for single use');
INSERT INTO `products` VALUES ('JP2000', 1005, 'JetPack 2000', 55.00, 'JetPack 2000, multi-use');
INSERT INTO `products` VALUES ('OL1', 1002, 'Oil can', 8.99, 'Oil can, red');
INSERT INTO `products` VALUES ('SAFE', 1003, 'Safe', 50.00, 'Safe with combination lock');
INSERT INTO `products` VALUES ('SLING', 1003, 'Sling', 4.49, 'Sling, one size fits all');
INSERT INTO `products` VALUES ('TNT1', 1003, 'TNT (1 stick)', 2.50, 'TNT, red, single stick');
INSERT INTO `products` VALUES ('TNT2', 1003, 'TNT (5 sticks)', 10.00, 'TNT, red, pack of 10 sticks'); -- ----------------------------
-- Table structure for vendors
-- ----------------------------
DROP TABLE IF EXISTS `vendors`;
CREATE TABLE `vendors` (
`vend_id` int(11) NOT NULL AUTO_INCREMENT,
`vend_name` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NOT NULL,
`vend_address` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`vend_city` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`vend_state` char(5) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`vend_zip` char(10) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
`vend_country` char(50) CHARACTER SET latin1 COLLATE latin1_swedish_ci NULL DEFAULT NULL,
PRIMARY KEY (`vend_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1007 CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Compact; -- ----------------------------
-- Records of vendors
-- ----------------------------
INSERT INTO `vendors` VALUES (1001, 'Anvils R Us', '123 Main Street', 'Southfield', 'MI', '48075', 'USA');
INSERT INTO `vendors` VALUES (1002, 'LT Supplies', '500 Park Street', 'Anytown', 'OH', '44333', 'USA');
INSERT INTO `vendors` VALUES (1003, 'ACME', '555 High Street', 'Los Angeles', 'CA', '90046', 'USA');
INSERT INTO `vendors` VALUES (1004, 'Furball Inc.', '1000 5th Avenue', 'New York', 'NY', '11111', 'USA');
INSERT INTO `vendors` VALUES (1005, 'Jet Set', '42 Galaxy Road', 'London', NULL, 'N16 6PS', 'England');
INSERT INTO `vendors` VALUES (1006, 'Jouets Et Ours', '1 Rue Amusement', 'Paris', NULL, '45678', 'France'); SET FOREIGN_KEY_CHECKS = 1;

USE

选择数据库

mysql> USE customers;
Database changed
  • USE 语句表示选择数据库;
  • 例如在数据库操作软件中,会看到被选择的数据库(黑体加亮),而且应用标题栏将显示所选择的数据库名;
  • 必须先使用USE打开数据库,才能读取其中的数据。

SHOW

显示数据库的列表

mysql> SHOW DATABASES;
+--------------------+
| Database |
+--------------------+
| customers |
| information_schema |
| mysql |
| performance_schema |
| sys |
+--------------------+
5 rows in set (0.00 sec)
  • SHOW DATABASES;返回可用数据库的一个列表;
  • 包含在这个列表中的可能是MySQL内部使用的数据库。

显示数据库内表的列表

mysql> SHOW TABLES;
+---------------------+
| Tables_in_customers |
+---------------------+
| customers |
| orderitems |
| orders |
| productnotes |
| products |
| vendors |
+---------------------+
6 rows in set (0.01 sec)
  • SHOW TABLES;返回当前选择的数据库内可用表的列表。

显示数据表的列

mysql> SHOW COLUMNS FROM customers;
+--------------+-----------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+-----------+------+-----+---------+----------------+
| cust_id | int | NO | PRI | NULL | auto_increment |
| cust_name | char(50) | NO | | NULL | |
| cust_address | char(50) | YES | | NULL | |
| cust_city | char(50) | YES | | NULL | |
| cust_state | char(5) | YES | | NULL | |
| cust_zip | char(10) | YES | | NULL | |
| cust_country | char(50) | YES | | NULL | |
| cust_contact | char(50) | YES | | NULL | |
| cust_email | char(255) | YES | | NULL | |
+--------------+-----------+------+-----+---------+----------------+
9 rows in set (0.00 sec) mysql> DESCRIBE customers;
+--------------+-----------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+-----------+------+-----+---------+----------------+
| cust_id | int | NO | PRI | NULL | auto_increment |
| cust_name | char(50) | NO | | NULL | |
| cust_address | char(50) | YES | | NULL | |
| cust_city | char(50) | YES | | NULL | |
| cust_state | char(5) | YES | | NULL | |
| cust_zip | char(10) | YES | | NULL | |
| cust_country | char(50) | YES | | NULL | |
| cust_contact | char(50) | YES | | NULL | |
| cust_email | char(255) | YES | | NULL | |
+--------------+-----------+------+-----+---------+----------------+
9 rows in set (0.00 sec)
  • SHOW COLUMNS要求给出一个表名,它对每个字段返回一行,行中包含字段名,数据类型,是否允许NULL,键信息,默认值以及其他信息。
  • DESCRIBE customers;是它的一种快捷方式。

其他SHOW语句

  • SHOW STATUS,用于显示广泛的服务器状态信息;
  • SHOW CREATE DATABASE和SHOW CREATE TABLE,分别用来显示特定数据库或表的MySQL语句;
  • SHOW GRANTS,用来显示授予用户(所有用户或特定用户)的安全权限;
  • SHOW ERRORS和SHOWWARNINGS,用来显示服务器错误或警告消息。
  • 更多的执行HELP SHOW;显示允许的SHOW语句。

MySQL登录退出与导入导出的更多相关文章

  1. mysql source、mysqldump 导入导出数据(转)

    解决了mysql gbk编码的导入导出问题,感谢作者. 一.导入数据 1.确定 数据库默认编码,比如编码 为gbk,将读入途径编码同样设为gbk,命令为:           set names gb ...

  2. MySQL 备份恢复(导入导出)单个 innodb表

    MySQL 备份恢复单个innodb表呢,对于这种恢复我们我们很多朋友都不怎么了解了,下面一起来看一篇关于MySQL 备份恢复单个innodb表的教程 在实际环境中,时不时需要备份恢复单个或多个表(注 ...

  3. mysql命令行的导入导出sql,txt,excel(都在linux或windows命令行操作)(转自筑梦悠然)

    原文链接https://blog.csdn.net/wuhuagu_wuhuaguo/article/details/73805962 Mysql导入导出sql,txt,excel 首先我们通过命令行 ...

  4. MYSQL注入天书之导入导出介绍

    Background-3 导入导出相关操作的讲解 load_file()导出文件 Load_file(file_name):读取文件并返回该文件的内容作为一个字符串. 使用条件: A.必须有权限读取并 ...

  5. mysql登录退出命令

    1. MySQL登录与退出登录Mysql:“输入mysql -u帐号 -p密码 这是登陆mysql退出:mysql > exit;以下是实例参考下: 登录Mysql:“输入mysql -uroo ...

  6. 使用MySQL的SELECT INTO OUTFILE ,Load data file,Mysql 大量数据快速导入导出

    使用MySQL的SELECT INTO OUTFILE .Load data file LOAD DATA INFILE语句从一个文本文件中以很高的速度读入一个表中.当用户一前一后地使用SELECT ...

  7. sqoop用法之mysql与hive数据导入导出

    目录 一. Sqoop介绍 二. Mysql 数据导入到 Hive 三. Hive数据导入到Mysql 四. mysql数据增量导入hive 1. 基于递增列Append导入 1). 创建hive表 ...

  8. MySQL本地登录及数据库导入导出

    注意:本地MySQL服务要开启 更新整个数据库 1.将正式服务器上的数据库做备份 登录到正式服务器,执行如下命令:(注意空格) mysqldump -uroot –p密码 数据库名 -P 接口 --d ...

  9. MySQL 表数据的导入导出

    数据导出 1.  使用 SELECT ...INTO OUTFILE ...命令来导出数据,具体语法如下. mysql> SELECT * FROM tablename INTO OUTFILE ...

  10. mysql之命令行导入导出

    命令介绍 mysqldump:导出命令,在系统”命令提示符“窗口直接使用,如果提示没有此命令(前提是已经安装成功mysql),在环境变量中的path添加mysql,即path=D:\xxx\mysql ...

随机推荐

  1. 责任链模式与spring容器的搭配应用

    背景 有个需求,原先只涉及到一种A情况设备的筛选,每次筛选会经过多个流程,比如先a功能,a功能通过再筛选b功能,然后再筛选c功能,以此类推.现在新增了另外一种B情况的筛选,B情况同样需要A情况的筛选流 ...

  2. 项目实战:Qt数据分析处理平台(兼容各国产麒麟系统)(文件域字符串解析,上万文件批量导入,折线图、散点图,正态分布图分析处理导出等)

    若该文为原创文章,转载请注明原文出处本文章博客地址:https://blog.csdn.net/qq21497936/article/details/114710650长期持续带来更多项目与技术分享, ...

  3. django从配置文件中读取数据库信息

    创建配置文件my.cnf [client] database=django_db user=root password=123456 host=127.0.0.1 port=3306 settings ...

  4. 【Docker】使用 Docker 部署 .Net Core 项目 (四)

    系列目录: [Docker] CentOS7 安装 Docker 及其使用方法 ( 一 ) [Docker] 使用Docker 在阿里云 Centos7 部署 MySQL 和 Redis (二) [D ...

  5. 【Azure Entra ID】如何在中国区获取用户 StrongAuthenticationUserDetails 和 StrongAuthenticationMethods 信息

    问题描述 如何在中国区获取用户 StrongAuthenticationUserDetails 和 StrongAuthenticationMethods 信息 ? StrongAuthenticat ...

  6. 使用 RKE 方式搭建 K8s 集群并部署 NebulaGraph

    本文由社区用户 Albert 贡献,首发于 NebulaGraph 论坛,旨在提供多一种的部署方式使用 NebulaGraph. 在本文,我将会详细地记录下我用 K8s 部署分布式图数据库 Nebul ...

  7. Nacos服务跨分组调用

    一. 问题背景 nacos有两种服务隔离的机制,一个是空间namespace,一般我们用namespace区分环境,另外一个是分组group,nacos的默认调用机制是同namespace下的同gro ...

  8. iview viewDesign table 单选 Radio

    columns.js export default [ { title: '选择', slot: 'choose', align: 'center', width: 100 }, table里面 &l ...

  9. C#实现FTP服务端和客户端

    目录 简介 FTP客户端 系统客户端 客户端软件 自定义客户端 FTP服务端 系统服务端 服务端软件 自定义服务端 附件 简介 FTP是FileTransferProtocol(文件传输协议)的英文简 ...

  10. C语言中的强制转换

    许久没有遇到的问题   C语言真是博大精深,越使用它,就越发感觉到它的威力和恐怖,最近在做算法的时候,遇到了一个强转的错误,把人折腾的够受,这次要好好梳理一下了,希望下次不能再犯此类的问题. 强制转换 ...