特别说明 导入导出时要,通过【运行】进行到oracle的安装目录的 【bin】目录下导 例如:D:\oracle\product\10.1.0\Db_1\BIN 1 数据导出 导出分三种 导出 表、方案、数据库 1.1 导出表 1.1.1 导出自己的表 -- 说明 用户/密码/数据库实例 表名(可多个) 文件
特别说明
导入导出时要,通过【运行】进行到oracle的安装目录的 【bin】目录下导
例如:D:\oracle\product\10.1.0\Db_1\BIN
1 数据导出
导出分三种 导出 表、方案、数据库
1.1 导出表
1.1.1 导出自己的表
-- 说明 用户/密码/数据库实例 表名(可多个) 文件路径
exp userid=scott/pass@orcl tables=(table1,table2) file=d:\db.dmp
1.1.2 导出其它方案的表(需要dba权限)
-- 说明 用户/密码/数据库实例 表名(用户.表名) 文件路径
exp userid=scott/pass@orcl tables=(slmes.table1) file=d:\db.dmp
1.1.3 直接导出 【比默认导出速度快,当数据量大时可采用】
exp userid=scott/pass@orcl tables=(table1,table2) file=d:\db.dmp direct=y
1.1.4 导出表结构
exp userid=scott/pass@orcl tables=(table1,table2) file=d:\db.dmp rows=n
1.2 导出方案
1.2.1 导出自己的方案
exp scott/pass@rocl owner=slmes file=d:\scott.dmp
1.2.2 导出其它方案
---说明 : owner=(单个或多个方案,用逗号分隔)
exp system/pass@rocl owner=(systems,scott) file=d:\scott.dmp
1.3 导出数据库
exp userid=system/pass@orcl full=y inctype=complete file=d:\orcl.dmp
2 数据导入
2.1 导入表
2.1.1 导入自己的表
imp userid=scott/pass@orcl tables=(emp) file=d:\xx.dmp
2.1.2 导入表到其它用户
imp userid=system/pass@orcl table=(emp) file=d:\xx.dmp touser=scott
2.1.3 导入表结构
imp userid=scott/pass@orcl tables=(emp) file=d:\xx.dmp rows=n
2.1.4 导入数据
--如果对象(表)已存在,可以只导入表的数据
imp userid=scott/pass@orcl tables=(emp) file=d:\xx.dmp ignore=y
2.2导入方案
2.2.1 导入自己的方案
imp userid=scott/pass file=d:\xxx.dmp
2.2.2 导入其它方案 [要求用户具有dba的权限]
imp userid=scott/pass file=d:\xxx.dmp fromuser=system touser=scott
2.3导入数据库
--当导入数据库时,会导入所有对象结构和数据
imp userid=system/manager full=y file=d:\xxx.dmp

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.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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