📄️ Overview
These best practices are written by experienced database engineers.
📄️ Partitioning
Fast analytics in StarRocks begin with a table layout that matches your query patterns. This guide distills hands‑on experience into clear rules for partitioning, helping you:
📄️ Table clustering
A thoughtful sort‑key is the highest‑leverage physical‑design knob in StarRocks. This guide explains how the sort key works under the hood, the systemic benefits it unlocks, and a concrete playbook for picking an effective key for your own workload.
📄️ Bucketing
A concise field guide to choosing between Hash Bucketing and Random Bucketing in StarRocks, including their mechanics, trade‑offs, and recommended use cases.
📄️ Primary Key tables
The Primary Key table uses a new storage engine designed by StarRocks. Its main advantage lies in supporting real-time data updates while ensuring efficient performance for complex ad-hoc queries. In real-time business analytics, decision-making can benefit from Primary Key tables, which use the newest data to analyze results in real-time, which can mitigate data latency in data analysis.
📄️ Authentication and Authorization
This topic aims to provide a coherent guide for best practices on developing your own authentication and authorization workflow.
🗃️ Query Tuning
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