3.6 Fight with hotspot - Auto balancing based on statistics
18
3.7 Fight with hotspot - Manual balance
19
4.1 Performance tuning - Find bottlenecks
20
4.3 Performance tuning . Read in RocksDB
Description:
Explore best practices for TiKV, an open-source distributed transactional key-value database, in this 40-minute conference talk by James Zhang from PingCAP. Gain insights into controlling data distribution, recommended deployment in cross-DC scenarios, and managing data balancing during scale-out and scale-in operations. Learn to identify and address hotspot issues, fine-tune performance for various workloads, and understand TiKV's architecture, topology, and ecosystem. Discover techniques for fighting hotspots through good design, manual balancing, and auto-balancing based on statistics. Delve into performance tuning strategies, including finding bottlenecks and optimizing read operations in RocksDB.
TiKV Best Practices - Deployment, Scaling, and Performance Optimization