创建bea组和weblogic用户 使用root登录操作系统,执行下列命令创建bea组和weblogic用户。bea组号为600,weblogic用户号为600,属
一、安装:
创建bea组和weblogic用户
使用root登录操作系统,执行下列命令创建bea组和weblogic用户。bea组号为600,weblogic用户号为600,属于bea组,home目录为/bea。
# groupadd -g 600 bea
# useradd -d /bea -u 600 -g 600 weblogic
# passwd weblogic -- 激活weblogic用户
执行下列命令将/bea分配给weblogic用户。
# cd /
# chown weblogic:bea /bea
# chmod 755 /bea
§2.2.2 上传安装文件并执行
使用weblogic登录,使用bin模式,上传WebLogic安装文件server103_linux.bin到soft目录,执行下列命令执行安装文件。
$ cd /soft
$ chmod a+x server103_linux.bin
$ ./server103_linux.bin -mode=console
2.3.1 .bin的安装方法
首先赋予.bin可执行权限
chmod a+x filename.bin
然后执行
./filename.bin -mode=console
2.3.2 .jar的安装方法
然后执行
java -jar filename.jar -mode=console
2.4 控制台安装
2.4.1 完成2.3的步骤后,进入控制台安装的欢迎界面,键入[Next]继续
2.4.2 此时出现授权许可协议,读完后键入[Yes]继续
2.4.3 提示选择一个BEA主目录,如下所示
Choose BEA Home Directory:"BEA Home" = [/root/bea]Input new BEA Home OR [Exit][Previous][Next]>
如果想更改默认的BEA主目录,重新输入完整的目录路径即可,否则键入[Next]继续,如:/home/bea
2.4.4 确认BEA主目录
Choose BEA Home Directory: ->1| Yes, Use this BEA home directory [/home/bea] 2| No, return to BEA home directory selectionEnter index number to select OR [Exit][Previous][Next]>
键入[1]继续
2.4.5 选择安装类型
Choose Install Type: ->1|Complete Installation |Install the complete BEA WebLogic Platform. 2|Custom Installation |Choose software components to install and optionally create custom |application domains. Recommended for advanced users.
键入[1]继续
2.4.6 选择安装路径
Choose Product Directory:Product Installation Directory = [/home/bea/weblogicXX]Input new Product Installation Directory OR [Exit][Previous][Next]>
如果想更改默认的安装目录,重新输入完整的目录路径即可,否则键入[Next]继续
2.4.7 确认安装路径
Choose Product Directory: ->1| Yes, use this product directory [/home3/weblogicXX] 2| No, select another product directoryEnter index numbers to select OR [Exit][Previous][Next]>
键入[1]继续
2.4.8 现在开始安装,此时会出现一个模拟的进度条,耐心等待,直到100%安装顺利结束。
二、配置Configuration Wizard
软件安装完毕后,下一步配置Domain域,进入weblogic安装目录(例如:/home/bea/weblogic81/common/bin),找到文件config.sh,执行他#./config.sh;出现配置界面,选中“Create a new weblogic configuration”选项。
选择配置的模块为“Basic weblogic Domain”,然后单击快速配置“Express”,单击[Next]按钮
创建管理页用户名和密码(密码不少于8位),NEXT下一步;
该界面是所有配置信息的汇总确认,如果没问题,点击Create,开始创建DOMAIN域.
三、启动Weblogic
在启动Weblogic之前,可将服务用户名和密码写入启动脚本。
进入刚刚配置完成的域目录(例如:/home/bea/user_projects/domains/mydomain),编辑startWebLogic.sh启动脚本,执行$ vi startWebLogic.sh
在“WLS_USER= WLS_PW=”输入用户名和密码,保存退出;
最后执行$ ./startWebLogic.sh,启动Weblogic..
四、配置Weblogic连接池
通过:7001/console进入管理控制台
在左侧菜单中依次进入mydomain(自定义的域名称)-服务-JDBC-连接缓冲池
点击“配置新的 JDBC Connection Pool... ”
数据类型选择:Oracle
数据库驱动程序选择:Oracle's Driver (Thin) Version:9.0.1,0.2.0,10
点击右下角的“继续”
在名称中写入想要设置的连接池名称(本例为:myconnection1)--可以自己命名
数据库名称:要访问的数据库名称---必须是oracle的全局数据库名SID
主机名:写入数据库服务器的主机名称或IP地址(本例:192.168.1.251)
端口号默认为:1521
数据库用户名称、密码根据具体情况填写
点击“继续”
在下一页中点击“测试驱动程序配置”显示“连接成功”
点击“创建和部署”
在新页面的列表中出现myconnection1的配置项
连接池配置完毕
五、发布web应用
点击“Web Application Medules”,选择其中的“Deploy New Web Applocation Medules”,新建一个Application。
5。选择此WebServer的默认的目录:(注意:目录下含有WEB-INF目录,在WEB-INF目录下含有web.xml文件的文件夹才能设置成默认目录)。这里请点击DefaultWebApp前的单选框。然后点击“target modules”
如WEB_INF/applicationContext-resoure.xml有数据源配置,,datasource配置JINI名称须一致

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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