Vipul Singh, Technical Lead
- Dec 11, 2018
Summary At Yelp, we generate a wide array of high throughput data streams spanning logs, business data, and application data. These streams need to be joined, filtered, aggregated, and sometimes even quickly transformed. To facilitate this process, the engineering team has invested a significant amount of time analyzing multiple stream processing frameworks, ultimately identifying Apache Flink as the best suited option for these scenarios. We’ve now implemented a join algorithm using Flink, which we’re calling “Joinery.” It is capable of performing un-windowed one-to-one, one-to-many, and many-to-many inner joins across two-or-more keyed data streams. So, how does it work? In the...