Data Engineering Podcast

CockroachDB In Depth with Peter Mattis - Episode 35


Listen Later

Summary

With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages. To address these shortcomings the engineers at Cockroach Labs have built a globally distributed SQL database with full ACID semantics in Cockroach DB. In this episode Peter Mattis, the co-founder and VP of Engineering at Cockroach Labs, describes the architecture that underlies the database, the challenges they have faced along the way, and the ways that you can use it in your own environments today.

Preamble
  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 40Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to dataengineeringpodcast.com/linode to get a $20 credit and launch a new server in under a minute.
  • For complete visibility into the health of your pipeline, including deployment tracking, and powerful alerting driven by machine-learning, DataDog has got you covered. With their monitoring, metrics, and log collection agent, including extensive integrations and distributed tracing, you’ll have everything you need to find and fix performance bottlenecks in no time. Go to dataengineeringpodcast.com/datadog today to start your free 14 day trial and get a sweet new T-Shirt.
  • Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch.
  • Your host is Tobias Macey and today I’m interviewing Peter Mattis about CockroachDB, the SQL database for global cloud services
  • Interview
    • Introduction
    • How did you get involved in the area of data management?
    • What was the motivation for creating CockroachDB and building a business around it?
    • Can you describe the architecture of CockroachDB and how it supports distributed ACID transactions?
      • What are some of the tradeoffs that are necessary to allow for georeplicated data with distributed transactions?
      • What are some of the problems that you have had to work around in the RAFT protocol to provide reliable operation of the clustering mechanism?

      • Go is an unconventional language for building a database. What are the pros and cons of that choice?

      • What are some of the common points of confusion that users of CockroachDB have when operating or interacting with it?

        • What are the edge cases and failure modes that users should be aware of?

        • I know that your SQL syntax is PostGreSQL compatible, so is it possible to use existing ORMs unmodified with CockroachDB?

          • What are some examples of extensions that are specific to CockroachDB?

          • What are some of the most interesting uses of CockroachDB that you have seen?

          • When is CockroachDB the wrong choice?

          • What do you have planned for the future of CockroachDB?

          • Contact Info
            • Peter
              • LinkedIn
              • petermattis on GitHub
              • @petermattis on Twitter

              • Cockroach Labs

                • @CockroackDB on Twitter
                • Website
                • cockroachdb on GitHub

                • Parting Question
                  • From your perspective, what is the biggest gap in the tooling or technology for data management today?
                  • Links
                    • CockroachDB
                    • Cockroach Labs
                    • SQL
                    • Google Bigtable
                    • Spanner
                    • NoSQL
                    • RDBMS (Relational Database Management System)
                    • “Big Iron” (colloquial term for mainframe computers)
                    • RAFT Consensus Algorithm
                    • Consensus
                    • MVCC (Multiversion Concurrency Control)
                    • Isolation
                    • Etcd
                    • GDPR
                    • Golang
                    • C++
                    • Garbage Collection
                    • Metaprogramming
                    • Rust
                    • Static Linking
                    • Docker
                    • Kubernetes
                    • CAP Theorem
                    • PostGreSQL
                    • ORM (Object Relational Mapping)
                    • Information Schema
                    • PG Catalog
                    • Interleaved Tables
                    • Vertica
                    • Spark
                    • Change Data Capture
                    • The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

                      Support Data Engineering Podcast

                      ...more
                      View all episodesView all episodes
                      Download on the App Store

                      Data Engineering PodcastBy Tobias Macey

                      • 4.5
                      • 4.5
                      • 4.5
                      • 4.5
                      • 4.5

                      4.5

                      142 ratings


                      More shows like Data Engineering Podcast

                      View all
                      The Changelog: Software Development, Open Source by Changelog Media

                      The Changelog: Software Development, Open Source

                      289 Listeners

                      Software Engineering Daily by Software Engineering Daily

                      Software Engineering Daily

                      624 Listeners

                      Talk Python To Me by Michael Kennedy

                      Talk Python To Me

                      583 Listeners

                      Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

                      Super Data Science: ML & AI Podcast with Jon Krohn

                      302 Listeners

                      NVIDIA AI Podcast by NVIDIA

                      NVIDIA AI Podcast

                      343 Listeners

                      Practical AI by Practical AI LLC

                      Practical AI

                      204 Listeners

                      AWS Podcast by Amazon Web Services

                      AWS Podcast

                      205 Listeners

                      Last Week in AI by Skynet Today

                      Last Week in AI

                      305 Listeners

                      Dwarkesh Podcast by Dwarkesh Patel

                      Dwarkesh Podcast

                      523 Listeners

                      The Data Engineering Show by The Firebolt Data Bros

                      The Data Engineering Show

                      8 Listeners

                      No Priors: Artificial Intelligence | Technology | Startups by Conviction

                      No Priors: Artificial Intelligence | Technology | Startups

                      129 Listeners

                      Latent Space: The AI Engineer Podcast by swyx + Alessio

                      Latent Space: The AI Engineer Podcast

                      92 Listeners

                      This Day in AI Podcast by Michael Sharkey, Chris Sharkey

                      This Day in AI Podcast

                      227 Listeners

                      The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

                      The AI Daily Brief: Artificial Intelligence News and Analysis

                      633 Listeners

                      AI + a16z by a16z

                      AI + a16z

                      36 Listeners