The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

YugabyteDB Engineering Update – June 27, 2019

We are pleased to announce that YugabyteDB 1.2.11 is live! You can read the release notes of this and previous versions here. This release is shipping with stored procedures support, plus 30 new features, enhancements and bug fixes. Here’s a few highlights from the 1.2.11 release.

What’s YSQL? It’s YugabyteDB’s PostgreSQL-compatible, distributed SQL API.

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YugaByte DB Engineering Update – May 2019

A lot is happening at YugabyteDB since we announced 1.2, so we thought we’d provide the community with a quick recap of engineering highlights, announcements and shout outs to catch everyone up. Let’s dive in!

Progress on YugabyteDB 2.0

Check out our “Roadmap for YugabyteDB 2.0” to get more details on the exciting features shipping in the next big release this Summer!

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YugabyteDB 1.2 Passes Jepsen Testing

You can join the discussion about the results on HackerNews here.

Last year we published our DIY Jepsen testing results – including the tests and failure modes implemented as well as the bugs found. We recently engaged Kyle Kingsbury, the creator of the Jepsen test suite, for an official analysis and are happy to report that YugabyteDB 1.2 formally passes Jepsen tests using the YCQL API.

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Distributed PostgreSQL on a Google Spanner Architecture – Query Layer

Our previous post dived into the details of the storage layer of YugabyteDB called DocDB, a distributed document store inspired by Google Spanner. This post focuses on Yugabyte SQL (YSQL), a distributed, highly resilient, PostgreSQL-compatible SQL API layer powered by DocDB. A follow-up post will highlight the challenges faced and lessons learned when engineering such a database.

YSQL,

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Distributed PostgreSQL on a Google Spanner Architecture – Storage Layer

In this post, we’ll dive into the architecture of the distributed storage layer of YugabyteDB, which is inspired by Google Spanner’s design. Our subsequent post covers the Query Layer, where the storage layer meets PostgreSQL as the SQL API. Finally, here is a follow-up post that highlights the key technical challenges we faced while engineering a distributed SQL database like YugabyteDB.

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