1.安装 选高级选项即可 只安装数据库软件,不创建数据库2.创建数据 填写数据库名称和SID及密码 比如 数据库:orcl SID:orcl 密
1.安装
选高级选项即可
只安装数据库软件,,不创建数据库
2.创建数据
填写数据库名称和SID及密码
比如 数据库:orcl SID:orcl 密码:Oracle
3.创建用户并赋予权限
在控制台中输入
sqlplus /nolog
sql> connect /as sysdba;
sql> alter user test identified "123";
也可(忘记密码也适用)
sql> alter user test identified by 123;
sql> grant create session,resource to test;
如果出现建立视图错误
sql> grant resource,connect,dba by test;
4.监听
windows&linux下命令
lnsrctl start 启动监听
stop 关闭监听
status 查看监听状态
windows&linux添加监听
命令 netca
linux下查看设置查看监听 netmgr
5.启动、关闭数据库
控制台 sqlplus /nolog
sql> connect /as sysdba;
启动库
sql> startup;
关闭库
sql> shutdown immediate;
5.连接数据库
根据已有用户登录
在控制台输入
sqlplus test/123;
即可登录
6.查看实例名
sql> select instance_name,status from v$instance;
7.查看数据库中所有表
sql> select * from tab;
8.用户解锁
sql> alter user scott acount unlock;
9.备份数据库,也称逻辑备份
在控制台中输入
exp test/123@orcl file=c:\orcl.dmp rows=y owner=orcl
10.还原数据库
imp test/123 file=c:\orcl.dmp fromuser=orcl touser=orcl

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.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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