In this live broadcast, we invite Zhou Xingjun, a senior solution expert from KaiwuDB , to share a detailed explanation of the database cluster solution . Mr. Zhou graduated from the Mathematics Department of Fudan University. He has worked in the industry for more than 20 years. He was a senior technical expert in IBM and provided technical consulting and database business continuity program design services for many large state-owned commercial banks.
Welcome everyone to click to watch this live replay. By learning database cluster technology, we can provide high-performance and scalable database solutions to better meet the needs of applications for high availability and high performance↓↓↓
01 Background introduction
A database cluster is a collection of multiple database servers that work together to provide a high-performance, highly available, and scalable database solution. They share data and workloads, and provide consistency and reliability by cooperating in processing queries and transactions.
1. Ability to provide database cluster technology
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multiple database servers
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Share data and workloads
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High Availability and Fault Tolerance
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Data replication and synchronization
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Load balancing and performance scaling
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Unified Management and Monitoring
2. Advantages of database clusters
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High Availability and Fault Tolerance
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Load balancing and performance scaling
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Data Expansion and Capacity Management
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Big Data Processing and Analysis
3. Classification of database clusters
(1) Classification by architecture type
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master-slave replication
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peer-to-peer replication
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Sharding
(2) Classified by deployment method
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Multi-active clusters in the same city/off-site
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Cloud database cluster
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Hybrid cloud database cluster
02 Common database cluster technologies
1. MySQL cluster technology
2. SQL Server peer-to-peer replication cluster
3. Oracle RAC cluster technology
03 KaiwuDB's database cluster solution
1. Active-Standby cluster solution suitable for meeting business continuity requirements
Advantages: mature and stable solution, no data loss, automatic switching
2. Active-Query cluster solution suitable for read-write separation scenarios
Advantages: less impact on performance, fully utilize the resources of the active and standby nodes
3. Horizontally expanded Master-Client cluster suitable for big data analysis
Advantages: It is very suitable for large-scale data analysis and query business scenarios, and the performance is significantly improved