1.SID是Oracle实例名,实例名指的是用于响应某个数据库操作的数据库管理系统的名称。实例名是由初始化参数文件的参数instance_name决定的。如果这个参数不被指定(即instance_name没有被指定为任何值),那么实例的名字由该用户的环境变量ORACLE_SID(注意这里
1. SID是Oracle实例名,实例名指的是用于响应某个数据库操作的数据库管理系统的名称。实例名是由初始化参数文件的参数instance_name决定的。如果这个参数不被指定(即instance_name没有被指定为任何值),那么实例的名字由该用户的环境变量ORACLE_SID(注意这里是大写)决定。在windows平台下,则是注册表中oracle_sid值决定。
SID是Oracle实例的唯一名称标识,用户去访问数据库,实际上是向某一个Oracle实例发送请求,oracle实例负责向数据库获取数据。Oracle实例
= 内存结构+后台进程,所以Oracle实例是临时性的;可以通过startup
nomount去启动实例,但是注意这时Oracle数据库并没有启动,需要用open去启动数据库;
一个实例只能对应一个数据库,一个数据库可以用多个实例;
2.
SERVICE_NAME指的是listener中的全局数据库名:这个名字是由listener.ora中GLOBAL_DBNAME参数决定的。这个名字代表的是客户端连接到数据库时,tnsnames.ora中service_name参数所对应的值。
GLOBAL_DBNAME=DBNAME.DBDOMAIN
3. 连接字符串
connect_str =
connect_str
4.
命名空间定义了一组对象类型,在命名空间里,对象的名字必须是唯一的,当然,在不同的命名空间里,是可以使用相同的的名字的。Table,View,Sequence,Package等对象共享一个名字空间,所以同一个名字空间中不能有相同的。Indexes,Constraints,Triggers等对象有各自的名字空间,因此可以有相同的名字。一般来说,Schema是基于用户的, 在数据库中创建一个用户,就创建了一个和用户名相同的Shema。
http://echohfut.**.com/blog/558452

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

There are four main index types in MySQL: B-Tree index, hash index, full-text index and spatial index. 1.B-Tree index is suitable for range query, sorting and grouping, and is suitable for creation on the name column of the employees table. 2. Hash index is suitable for equivalent queries and is suitable for creation on the id column of the hash_table table of the MEMORY storage engine. 3. Full text index is used for text search, suitable for creation on the content column of the articles table. 4. Spatial index is used for geospatial query, suitable for creation on geom columns of locations table.

TocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.


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