利用dbca克隆实例可以不用像数据泵还原那样繁琐,建表空间,建用户,授权,拷贝然后还原,跟rman类似,但在效率上跟rman还是有差
利用dbca克隆实例可以不用像数据泵还原那样繁琐,建表空间,,建用户,授权,拷贝然后还原,跟rman类似,但在效率上跟rman还是有差距的
在我们创建实例的时候可以保存为模板,其实也可以直接用DBCA命令来创建我们的实例模板,并且利用这个功能进行实例的复制。只是这个功能很少被关注
这里我们选择ManageTemplate:
注意创建模板的三种类型,官网也有相关的说明:
Installing Oracle Database and Creating aDatabase
#ADMQS023
(1)From an existing template
Using anexisting template, you can create a new template based on the predefinedtemplate settings. You can add or change any template settings such asinitialization parameters, storage parameters, or whether to use customscripts.
--根据已经存在的模板来创建新的模板,在此基础之上可以修改旧模板的参数。
(2)From an existing database(structure only)
You can create anew template that contains structural information from an existing database,including database options, tablespaces, data files, and initializationparameters. User-defined schemas and their data will not be part ofthe created template. The source database can be either local or remote. Selectthis option when you want the new database to be structurally similar to thesource database, but not contain the same data.
--根据已经存在的数据库实例来创建新的模板,这种只包含structural 的信息,如database options,tablespaces,datafiles 和initialization parameters。 用户定义的schemas 和data 不会被包含在模版中。因此这种模板只包含基本的架构信息。

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

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

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.


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