Implementing Page UV Counting with Redis Set, Hash, Bitmap, and HyperLogLog Using Redisson

This article explains how to use Redis data structures—Set, Hash, Bitmap, and HyperLogLog—along with Redisson in Java to efficiently count unique page visitors (UV) in high‑traffic mobile internet scenarios, comparing memory usage, precision, and scalability.

HashHyperLogLogSet

0 likes · 12 min read

Implementing Page UV Counting with Redis Set, Hash, Bitmap, and HyperLogLog Using Redisson

Sohu Tech Products

Jun 9, 2021 · Big Data

Real-time UV Counting with Flink, Hologres, and RoaringBitmap

This article explains how to implement both offline (T+1) and real‑time UV counting using Hologres with RoaringBitmap for high‑cardinality aggregation, and demonstrates a complete Flink‑Hologres pipeline—including table creation, streaming joins, windowed aggregation, and query examples—for fine‑grained user metric analysis.

FlinkHologresRoaringBitmap

0 likes · 11 min read

Real-time UV Counting with Flink, Hologres, and RoaringBitmap