Jepsen Tests

YugabyteDB’s Distributed SQL API Jepsen Test Results

September 4, 2019

Distributed SQL How It Works Jepsen Tests YugabyteDB

YugabyteDB’s Distributed SQL API Jepsen Test Results

Note: You can join the discussion on Hacker News here.

We are very excited to announce that the SQL API of YugabyteDB v1.3.1.2 passed Jepsen testing performed by Kyle Kingsbury [Edit] (with the exception of transactional DDL support, which almost no other distributed SQL database vendor supports, and we plan to support soon. The real-world impact of this open issue is minor as it is limited to cases where DML happens before DDL has fully completed).

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Achieving Fast Failovers After Network Partitions in a Distributed SQL Database

May 15, 2019

By Timur Yusupov

Distributed SQL Google Spanner How It Works Jepsen Tests

Achieving Fast Failovers After Network Partitions in a Distributed SQL Database

In February of this year, Kyle Kingsbury of Jepsen.io was conducting formal testing of YugabyteDB for correctness under extreme and unorthodox conditions. Obviously, simulating all manner of network partitions is part of his testing methodology. As a result, during his testing he spotted the fact that although nodes would reliably come back after a failure, the recovery itself was taking roughly 25 seconds to occur. We certainly didn’t like the sound of that!

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Wrapping Up: Jepsen Test Results for YugabyteDB 1.2 Webinar

May 2, 2019

By Jimmy Guerrero

Community News Jepsen Tests YugabyteDB

Wrapping Up: Jepsen Test Results for YugabyteDB 1.2 Webinar

If you missed the April 30 webinar with Kyle Kingsbury, the creator of Jepsen and Karthik Ranganathan, CTO at YugaByte, you can check out the playback here and download the slides here.

Kyle did a great deep-dive into his testing approach, research methodology and what he found when applied to YugabyteDB. If you are looking for an unvarnished and honest assessment of YugabyteDB’s consistency and transactional claims,

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6 Technical Challenges Developing a Distributed SQL Database

April 26, 2019

By Karthik Ranganathan

Amazon Aurora Distributed SQL Google Spanner How It Works Jepsen Tests

6 Technical Challenges Developing a Distributed SQL Database

You can join the discussion on HackerNews here.

We crossed the three year mark of developing the YugabyteDB database in February of 2019. It has been a thrilling journey thus far, but not without its fair share of technical challenges. There were times when we had to go back to the drawing board and even sift through academic research to find a better solution than what we had at hand.

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March 26, 2019

By Karthik Ranganathan

ACID Transactions Community News Company News Distributed SQL How It Works Jepsen Tests YugabyteDB

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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Announcing YugabyteDB 1.2 and Company Update

March 13, 2019

By Kannan Muthukkaruppan

CockroachDB Community News Company News Distributed SQL Jepsen Tests Kubernetes Performance Benchmarks YugabyteDB

Announcing YugabyteDB 1.2 and Company Update

The team at YugaByte is excited to announce that YugabyteDB 1.2 is officially GA! You can download the latest version from our Quick Start page.

New in 1.2: YugaByte SQL Beta 3

YugaByte SQL (YSQL) is our PostgreSQL v11 compatible, distributed SQL API. It is ideal for powering microservices that require low latency, internet scale, geographic data distribution and extreme resilience to failures but want the data modeling flexibility of SQL (joins,

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September 17, 2018

By Karthik Ranganathan

ACID Transactions Community News Distributed SQL How It Works Jepsen Tests Performance Benchmarks

Jepsen Testing on YugabyteDB

At YugaByte, our mission is to build a robust, reliable, distributed OLTP database. Needless to say, we take correctness and technical accuracy of our claims very seriously. Therefore, we absolutely love a testing framework like Jepsen which helps verify correctness and are fans of Kyle Kingsbury’s work!

Here is a summary of what we have done so far in regards to Jepsen:

We have performed our own DIY style Jepsen testing
The YugabyteDB Jepsen testing repository is open source
For the current suite of Jepsen tests for YugabyteDB that we have tested in a loop,

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Jepsen Tests

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