YMatrix
Quick Start
Simulate Time Series Scenarios
Standard Cluster Deployment
Data Modeling
Connecting to The database
Data Writing
Data Migration
Data Query
Scene Application Examples
Federal Query
Maintenance and Monitoring
Global Maintenance
Partition Maintenance
Backup and Restore
Cluster Expansion
Monitoring
Performance Tuning
Troubleshooting
Reference Guide
Tool Guide
Data Type
Storage Engine
Execution Engine
Configuration Parameters
Index
Extension
SQL Reference
FAQ
For distributed databases with massive storage, the scale of table data increases over time, which is also inevitable that there will be insufficient capacity and computing power (CPU). At this time, a correct and efficient cluster expansion becomes indispensable. Although it is wisest to leave room for growth when the system is initially defined, it is usually unlikely to invest too early in resources. Therefore, we recommend that you plan and perform database scaling operations regularly.
In YMatrix, you can freely choose to use graphical interface expansion or command line online expansion. We recommend using a simple and easy-to-operate graphical interface. At present, YMatrix has supported online smooth expansion (reading and writing services are not affected by any impact during the expansion), flexible setting of data distribution in tables and other functions.