What are the characteristics of a distributed database system?
The characteristics of the distributed database system are: 1. High reliability, even if a certain node fails, it will not affect the normal operation of the entire system; 2. High performance, multiple nodes work at the same time; 3. Strong scalability, the number of nodes can be increased or reduced at any time to meet changing needs; 4. Balanced data distribution, data is distributed on each node, ensuring that the amount of data on each node is relatively balanced; 5. Distributed transactions are allowed; 6. Support remote access and realize multi-machine collaborative work.
Operating system for this tutorial: Windows 10 system, MongoDB6.0.6, Dell G3 computer.
The characteristics of the distributed database system are:
High reliability: The distributed database system has high reliability, even if a certain Node failure will not affect the normal operation of the entire system.
High performance: Multiple nodes working at the same time can improve the concurrent processing capability and performance of the system.
Strong scalability: The number of nodes can be increased or reduced at any time to meet changing needs.
Balanced data distribution: Distribute data to each node to ensure that the amount of data on each node is relatively balanced.
Allow distributed transactions: Have the function to support distributed transactions.
Support remote access: Remote access can be performed through the network to achieve multi-machine collaborative work.
What is a distributed database system:
A distributed database system is composed of multiple autonomous computer systems located in different geographical locations. The consortium uses a unified global model and query language together with technologies such as distributed transaction management and concurrency control to realize the sharing and centralized management of data resources. In layman's terms, it means to store a database on different computers and realize mutual cooperation through the Internet to provide users with unified services.
Several common distributed database systems::
Apache Cassandra: A NoSQL database that supports horizontal expansion and provides high performance , high availability and scalability.
Apache HBase: A large-scale Key-Value storage system based on Hadoop architecture that can support the storage and management of massive structured data.
Google Bigtable: A highly scalable, structured data storage system used internally at Google that provides strong data reliability, availability, and performance.
Oracle RAC: A cluster database system that can be used for horizontal and vertical expansion of Oracle database instances.
MongoDB: An open source and extensible document database that is highly flexible and easy to use for document-oriented applications.
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