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Time: June 9, door will open at 5:30PM Pacific Daylight Time; talk will start at 6:00 PM Pacific Daylight Time (June 10, 9:00AM China Standard Time)

Join us at our Sunnyvale office for dinner and drinks! If you can’t make it in person, then check out our livestream.   

Speakers:

Ed Huang

Co-founder and CTO, PingCAP

Liquan Pei

Senior Database Engineer, PingCAP

This meetup is part of the meetup series “The Future of Modern Distributed SQL Databases.” This meetup will cover two topics: data placement and queue.

Liquan Pei will introduce Placement Rules. Introduced in v5.0, Placement Rules is a replica rule system which enables users to control data placement. Typical user scenarios include: 

  • Merging databases running different applications to reduce the cost of database maintenance
  • Increasing the replica count for important data to improve application availability and data reliability
  • Storing new data on solid-state drives (SSDs) and storing old data into hard disk drives (HDDs) to lower the cost of data archiving and storage
  • Scheduling the leaders of hotspot data to high-performance TiKV instances
  • Separating cold data to lower-cost storage mediums to improve cost efficiency

Ed will talk about the TiDB queue. When you build a modern application in the cloud, the three main pillars are compute, messaging, and database. There are several messaging models including queue and publish/subscribe. In this talk, Ed will focus on how TiDB supports the queue.

Ed Huang

Co-founder and CTO, PingCAP

Ed Huang is co-founder and CTO of PingCAP, one of the creators of the TiDB distributed database and the TiKV key value store. While he was at Wandou Labs, Ed worked on clustering Redis and created and open-sourced Codis, a proxy-based, high-performance Redis cluster solution. He decided to focus on the next generation database and went on to found PingCAP and create TiDB and TiKV.

Liquan Pei

Senior Database Engineer, PingCAP

Liquan is a Senior Database Engineer at PingCAP. Before PingCAP, he was the tech lead of the ads stream processing system at Pinterest. Prior to that, he worked at Confluent, focusing on Kafka and Kafka Connect. He is an open-source contributor to Apache Kafka and Apache Spark and was a speaker at Kafka Summit 2018 and 2019.