•1 min read•from InfoQ
Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid
Our take
Netflix has enhanced the performance of Apache Druid through interval-aware caching, achieving an impressive 84% of query results served directly from cache. This innovation effectively reduces query load by 33% by decomposing rolling window queries into reusable time segments. As a result, only recent data requires recomputation, facilitating significant improvements in scan volume and P90 latency. This optimization transforms real-time analytics workloads, demonstrating Netflix’s commitment to advancing data management practices while ensuring efficiency and responsiveness.
Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.
By Leela KumiliRead on the original site
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