Nov 25, 2019 · Big Data

Lightweight Dimension Table Join in Flink Using a Scheduled Cache

The article demonstrates how to enrich Flink streaming ETL jobs with slowly changing dimension data by periodically loading MySQL tables into an in‑memory cache and performing a simple map‑side join within a custom RichMapFunction implementation.

CacheDimension joinETL

0 likes · 5 min read

Lightweight Dimension Table Join in Flink Using a Scheduled Cache

Alibaba Cloud Developer

May 23, 2019 · Big Data

How Blink Powers Alibaba’s Real‑Time Supply‑Chain Data Warehouse

This article explains how Alibaba's Blink engine tackles the complex challenges of building a real‑time supply‑chain data warehouse—covering retroduction, dimension‑table joins, data skew, timeout statistics, zero‑point optimizations, and future directions—through SQL‑based stream processing and intelligent resource tuning.

Data SkewDimension joinFlink

0 likes · 14 min read

How Blink Powers Alibaba’s Real‑Time Supply‑Chain Data Warehouse