之前没搞过linux,这次客户的系统装的linux,项目发布环境及数据库已经安装好了。由于要急着上线,所以就边摸索边处理了。简单记
之前没搞过linux,这次客户的系统装的linux,项目发布环境及数据库已经安装好了。由于要急着上线,所以就边摸索边处理了。简单记下,以备后查。
先看版本:
用户给的不是root账号,所以,有些目录访问不了,有些文件也操作不了。先前遇到很多问题,不过也都解决了。
首先把Oracle给启动。
由于不是root用户,所以切换到oracle时总是提示密码,,输了几次不对,没办法。后来想到用sudo来试试。果然,可以。
然后就是启动oracle及查看状态了。
之前直接将文件传到/home的该用户下,导致oracle用户无法访问,于是在/tmp/下建了个更新文件夹,PDM上传至该处。可以正常访问。
由于用了oracle的数据泵,所以先要建立文件目录。
导入语句
数据导入后用客户端查看了下,相关数据均正常显示。现在更改项目数据库连接参数了。切换至普通用户,进入项目目录下,找到 jdbc.properties,使用vi进行编辑。
vi之前也没用过,边找资料边操作。总共用了3个命令,那就是进入先按 i 进入插入模式,编辑完成后按 esc 然后 :x,保存并退出。如果不想保存的话可以 :q! 这个命令强制退出。
这样就差不多可以了。重启项目服务
第一次操作Linux,绕了不少弯子,也出现了不少问题,不过好在都给解决了。稍微总结下:
chown myuser /var/www/webapps //这个命令可以更改所有者,更改后对相关文件就可以有操作权限了。
chmod 777 /var/www/webapps //这个命令可以更改用户操作权限。777就是最大权限咯。
还有个最后才发现了,直接用 su - root可以切换到root用户下。原来客户给我的这个用户的权限是相当大的。

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.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.


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