本文将详细介绍RAC cache fusion机制实现原理,需要了解更多的朋友可以参考下
在单实例中,进程要想修改数据块,必须在数据块的当前版本(Currentcopy)上进行修改RAC环境也一样这便涉及到一系列问题:
如何获得数据块的版本在集群节点间的分布图?
如何知道哪个节点拥有的是当前版本?
如何完成传递过程?
这一系列问题的解决依靠内存融合技术(cachefusion)
cachefusion通过高速的privateinterconnect,在实例间进行数据块传递
这是RAC最核心的工作机制,他把所有实例的SGA虚拟成一个大的SGA区
每当不同的实例请求相同的数据块,这个数据块就需要在实例间进行传递
在Oracle7的OPS中,这种传递是通过磁盘完成的,也叫“Disk-BasedPing”
也就是第1个实例必须先把这个数据块写回磁盘,然后第2个实例再从磁盘上读取这个数据块
这种依靠磁盘来完成数据传递极大影响系统性能
在Oracle8i引入“Net-BasedPing”通过PrivateInterconnect来传递数据块
但是8i只能传递没有修改过的数据块,对于“脏块”还是要通过磁盘来传递,这一点和OPS一样
在Oracle9i的cachefusion,所有的数据块,无论修改的或者没有修改的,都可以通过PrivateInterconnect传递
系统系能得到极大的改善
在cachefusion中,每个数据块都会被映射成一个cachefusion资源,或者说是一个PCM资源
PCM资源实际上是一个数据结构,资源的名称就是DBA(数据块地址)
每个进程对数据的请求都是分步完成:
①把DBA转换成PCM资源名称
②把这个PCM资源请求提交给DLM(分布式锁管理器)
③DLM进行GlobalLock的申请、释放活动,只有进程获得了PCMLock,才能继续下一步
也就是实例首先要获得数据块的使用权
整个cachefusion有两个服务组成:GCS和GES
⑴GCS服务负责数据块在实例间的传递
由后台进程LMSn完成
⑵GES服务负责锁管理
在多个实例之间协调对数据块的访问顺序,保证数据的一致性访问
由后台进程LMD完成

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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