Apache HugeGraph Database Application and Tuning for Lalamove

Explore Apache HugeGraph database implementation and optimization techniques in this 27-minute conference talk by Jiaqi Yang, a Lalamove Big Data Engineer and Apache HugeGraph Committer. Dive into real-world applications of HugeGraph, focusing on offline import and synchronous query performance enhancements. Learn about building comprehensive logging and monitoring systems for improved stability. Discover the importance of community participation in graph database development. Gain insights on graph modeling, data quality assurance, and constructing online entity relationship graphs for real-time queries and analysis. Examine strategies for optimizing large-scale data imports through preprocessing and parallel techniques. Understand core functions developed on HBase for enhancing synchronous query performance and response times. Explore the creation of robust logging and monitoring systems for real-time oversight and fault diagnosis. Engage with community resources and collaboration opportunities to contribute to the evolving landscape of graph database technology.