Overview
Oracle Parallel Server (OPS) is a version of the Oracle Database system that enables access to a single database from multiple CPUs. This makes it especially suitable for massively parallel processors.
How does it work?
The architecture of Oracle Parallel Server operates by distributing data across multiple nodes or servers, connected by a high-speed interconnect. Each node has its own set of processors, memory, and disk storage, and runs its own copy of the Oracle Database software.
The data is shared between these nodes using a technique called cache fusion, which ensures that data consistency is maintained across all the nodes. When one node updates a piece of data, the change is immediately broadcast to all other nodes so that their caches can be synchronized.
Oracle Parallel Server is one of the key components that enables Oracle to offer high-availability and scalability to its clients.
FAQs
What are the advantages of Oracle Parallel Server?
Oracle Parallel Server offers several advantages, including high availability, scalability, and improved performance. It allows multiple CPUs to access a single database simultaneously, which can help minimize downtime and keep your applications running smoothly.
Do I need specialized hardware to use Oracle Parallel Server?
The hardware requirements for Oracle Parallel Server are based on the degree of parallelism needed for your specific workload. You may need to invest in additional CPUs, memory, or disk storage, but this will be determined by a thorough assessment of your needs and resources.
Can I use Oracle Parallel Server with any version of Oracle Database?
Oracle Parallel Server is a feature that was introduced in Oracle Database version 7.3. It has since been enhanced and improved with each subsequent release, so it is recommended that you use the latest version of Oracle Database to take advantage of its full capabilities.
Final thoughts
Oracle Parallel Server is a powerful feature of the Oracle Database system that enables high availability, scalability, and improved performance. By distributing data across multiple nodes and using cache fusion to maintain data consistency, OPS can help keep your applications running smoothly and your data safe and secure.
