Adding Support For Distributed Transactions To The Redpanda Streaming Engine

Data Engineering Podcast

Tobias Macey에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Tobias Macey 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2+ y ago 45:58

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Summary

Transactions are a necessary feature for ensuring that a set of actions are all performed as a single unit of work. In streaming systems this is necessary to ensure that a set of messages or transformations are all executed together across different queues. In this episode Denis Rystsov explains how he added support for transactions to the Redpanda streaming engine. He discusses the use cases for transactions, the different strategies, semantics, and guarantees that they might need to support, and how his implementation ended up improving the performance of bulk write operations. This is an interesting deep dive into the internals of a high performance streaming engine and the details that are involved in building distributed systems.

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Your host is Tobias Macey and today I’m interviewing Denis Rystsov about implementing transactions in the RedPanda streaming engine

Interview

Introduction
How did you get involved in the area of data management?
Can you quickly recap what RedPanda is and the goals of the project?
What are the use cases for transactions in a pub/sub messaging system?
- What are the elements of streaming systems that make atomic transactions a complex problem?
What was the motivation for starting down the path of adding transactions to the RedPanda engine?
- How did the constraint of supporting the Kafka API influence your implementation strategy for transaction semantics?
Can you talk through the details of how you ended up implementing transactions in RedPanda?
- What are some of the roadblocks and complexities that you encountered while working through the implementation?
How did you approach the validation and verification of the transactions?
What other features or capabilities are you planning to work on next?
What are the most interesting, innovative, or unexpected ways that you have seen transactions in RedPanda used?
What are the most interesting, unexpected, or challenging lessons that you have learned while working on transactions for RedPanda?
When are transactions the wrong choice?
What do you have planned for the future of transaction support in RedPanda?

Contact Info

@rystsov on twitter
LinkedIn

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

351 에피소드

#Tech #Tobias Macey #Machine Learning