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Usage of RAC in Oracle
The usage of RAC in Oracle: 1. Provide high availability by running database instances on multiple servers; 2. Allow the number of nodes to be increased or reduced when needed; 3. Achieve load balancing by distributing the workload to multiple nodes; 4. Use shared storage to achieve data sharing between multiple nodes; 5. Allow multiple nodes to process database requests at the same time, thereby achieving parallel processing; 6. Provide a transparent failover function; 7. Use some technologies to ensure that data Consistency; 8. Provides management tools to simplify the management and maintenance of the RAC environment. This topic also provides other articles related to RAC, which you can read for free.
Introduction to the usage of RAC in OracleThe usage of RAC in Oracle: 1. Provide high availability by running database instances on multiple servers; 2. Allow the number of nodes to be increased or reduced when needed; 3. Achieve load balancing by distributing the workload to multiple nodes; 4. Use shared storage to achieve data sharing between multiple nodes; 5. Allow multiple nodes to process database requests at the same time, thereby achieving parallel processing; 6. Provide a transparent failover function; 7. Use some technologies to ensure that data Consistency; 8. Provides management tools to simplify the management and maintenance of the RAC environment.
what is oracle racRAC is the abbreviation of real application clusters, translated as "real-time application cluster". It is a new technology adopted in the new version of Oracle database. It is a type of high availability and is also the core technology of Oracle database to support grid computing environment.
what is oracle racOracle RAC is a cluster database technology that allows multiple computers to share the same database. Its characteristics are: 1. High availability, through multi-node deployment, even if a node fails, other nodes can still continue to provide services, ensuring continuous availability of the database; 2. Scalability, by increasing or reducing the number of nodes. Increase or reduce the processing power of the system; 3. Scalability. By adding more nodes, the capacity and processing power of the database can be expanded to support more users and larger-scale data processing, etc.
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