📄️ 概述
StarRocks best practices for efficient table design covering partitioning, clustering, and bucketing to improve query performance and reduce costs.
📄️ 分区
Fast analytics in StarRocks begin with table layout design matching query patterns using strategic partitioning for data reduction and lifecycle management.
📄️ 表聚簇
Sort keys are the highest-leverage physical design element in StarRocks, enabling efficient filtering, aggregation, and compression.
📄️ 分桶
Field guide to choosing between hash bucketing and random bucketing in StarRocks, including mechanics, trade-offs, and use case recommendations.
📄️ 主键表
Primary Key tables in StarRocks use a new storage engine supporting real-time data updates while maintaining efficient complex ad-hoc query performance.
📄️ 认证与授权
Best practices guide for developing authentication and authorization workflows integrated with external identity systems in StarRocks.
📄️ 基于审计日志的资源组配置
Analyze StarRocks audit logs to identify query patterns and configure resource groups for effective workload isolation and resource optimization.
🗃️ 查询调优
8 个项目
📄️ FE / 协调节点内存满问题故障排查
Troubleshoot and resolve FE/Coordinator node memory saturation issues in StarRocks through prevention, recovery, and root cause analysis.
