安装SQL Developer的过程比较简单,大概就是先安装java支持,然后安装SQL Developer软件。顺序也可以反过来。接着配置SQL Develo
安装SQL Developer的过程比较简单,大概就是先安装java支持,,然后安装SQL Developer软件。顺序也可以反过来。接着配置SQL Developer的Java指向,因为这个程序要调用Java么。
1、准备软件包
uname -i查看当前系统的架构
如图我的系统时RHEL5.8_x64的,那么需要准备一个相应版本的java的安装包。
Oracle的SQL Developer 在Ubuntu上以图标显示且双击能运行
PL/SQL Developer 连接Oracle数据库详细配置方法
PL/SQL Developer向Oracle导入SQL文件
PLSQL Developer连接远程的Oracle数据库
Oracle自带的PL/SQL Developer导入导出数据
2、安装java
# rpm -ivh jdk-7u45-linux-x64.rpm
这个软件包安装起来异常之慢,请君耐心等待...
3、安装sqldeveloper
# rpm -ivh sqldeveloper-3.2.20.09.87-1.noarch.rpm
4、更改配置
我平时是使用Oracle用户直接登录操作系统,所以每次使用SQL Developer的用户是Oracle,那么接下来的操作我将su - oracle,剩下的安装将在Oracle的 $下去完成。
# su - oracle
$ sqldeveloper 安装之后是可以直接运行的。
Oracle SQL Developer
Copyright (c) 1997, 2011, Oracle and/or itsaffiliates. All rights reserved.
Type the full pathname of a J2SEinstallation (or Ctrl-C to quit), the path will be stored in~/.sqldeveloper/jdk
只不过运行的时候报出了如上的提示,需要j2se的完全安装路径。
这个路径需要记录在~/.sqldeveloper/jdk
也就是说文件的完全路径需要写在 /home/oracle/.sqldeveloper/jdk 然后sqldeveloper去找这个文件,然后通过这个文件去找java
$ mkdir /home/oracle/.sqldeveloper
$ rpm -ql jdk | tail -3 //发现安装路径
/usr/java/jdk1.7.0_45/man/man1/xjc.1
/usr/java/jdk1.7.0_45/release
/usr/java/jdk1.7.0_45/src.zip
$ echo '/usr/java/jdk1.7.0_45/' >/home/oracle/.sqldeveloper/jdk
把安装路径重定向到jdk的文件中去。
5、登录
需要超级用户为Oracle提供x环境,或者直接使用oracle登录系统。如果不满足前面两个条件的任意一种,那么执行SQL Developer会报错。想看看报什么吗?自己动手试试吧~~~
# xhost + //为oracle用户提供x环境,注意现在是root用户。
access control disabled, clients canconnect from any host
# su - oracle
$ sqldeveloper
提示的大概意思是说,当前版本有点高。运行SQL Developer使用最小版本的java是1.6.0_04,最大的Java版本是1.7.我们当前的是1.7.0_45.可能不完全支持,运行可能不成功。
不要理他,我都用过,直接选这个"Skip This Message Next Time" 然后Yes
本文永久更新链接地址:

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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