ruby下MySQL的安装与配置
ruby on rails安装mysql数据库,在系统里安装mysql:下载mysql软件,在百度上很多下载地址可以下载,或者进入mysql中文官方网站下
ruby on rails安装mysql数据库
1、在系统里安装mysql:下载mysql软件,在百度上很多下载地址可以下载,或者进入mysql中文官方网站下载安装软件,我选择的是5.1.62版本的
安装mysql,设置默认字符集为utf-8
将mysql安装目录(默认C:/program files/mysql)之bin目录下的libmySQL.dll拷贝至C:/ruby/bin目录下
2、安装mysql相关驱动:
gem install mysql-2.8.1-x86-mingw32.gem
3、将ruby安装目录的lib/ruby/gems/1.8/gems/mysql-2.7.1-mswin32/ext/目录下的mysql_api文件拷贝至ruby安装目录下的/lib/ruby/site_ruby/1.8/i386-msvcrt/目录下。
4、测试ruby连接mysql
新建文本test_mysql.rd后输入代码:
require "mysql"
puts("hello,mysql")
命令行执行ruby test_mysql.rd
输出结果:
hello,mysql
则mysql连接成功
写一段代码:
require 'DBcon'
begin
dbh = Mysql.real_connect("localhost", "root", "sa","makedish", 3306)------# 这里调用Mysql模块的real_connect方法。连接数据库本机:用户名:root 密码:sa 数据库:makedish 端口:3306
dbh.query("drop table if exists test_foolfish") --- #ruby执行语句
dbh.query("create table test_foolfish(id int,name varchar(20))")
dbh.query("insert into test_foolfish values(1,'你好')")
dbh.query("insert into test_foolfish values(2,hello)")
printf "%d rows were insertedn",dbh.affected_rows ----#affected_rows返回受影响的行数
res=dbh.query("SELECT name FROM test_foolfish")
puts "===============n"
res.each_hash(with_table = true) do |row|
printf "%d,%sn",row["test_rb.id"],row["test_rb.name"]
end
puts "===============n"
puts "Server version:"+dbh.get_server_info
rescue Mysql::Error=>e
puts "Error code:#{e.errno}"
puts "Error message:#{e.error}"
puts "Error SQLSTATE:#{e.sqlstate}" if e.respond_to?("sqlstate")
ensure
dbh.close if dbh
end
ruby当中对数据库存在两种操作:一种是不用返回结果集的(例如insert,update,delete等等)一种是需要返回结果集的(如select show等)。对于不返回结果集的操作,我们只需要使用dbh.query方法,,传入需要执行的sql语句执行即可。
对于另一种需要返回结果集的则相对麻烦一些。执行完上面类似的语句之后,我们需要对结果集进行处理。我们可以将结果集一数组或者hash形式展现。这里我们使用hash方式展现。
res=dbh.query("SELECT name FROM test_foolfish")
puts "===============\n"
res.each_hash(with_table = true) do |row|
printf "%d,%s\n",row["test_rb.id"],row["test_rb.name"]
end
each_hash方法当中添加with_table = true参数可以保证在执行多表查询的时候,多张表具有相同字段的尴尬。这样我们hash的key值就可以用“表名.列名”的形式出现。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.
