The Distributed SQL Blog

How Data Sharding Works in a Distributed SQL Database
June 6, 2019
By
Distributed SQLHow It WorksYugabyteDB

How Data Sharding Works in a Distributed SQL Database

Enterprises of all sizes are embracing rapid modernization of user-facing applications as part of their broader digital transformation strategy. The relational database (RDBMS) infrastructure that such applications rely on suddenly needs to support much larger data sizes and transaction volumes. However, a monolithic RDBMS tends to quickly get overloaded in such scenarios. One of the most common architectural patterns used to scale an RDBMS is to “shard” the data. In this blog, we will learn what data sharding is and how it can be used to scale a SQL database.

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YugabyteDB Engineering Update – June 4, 2019
June 4, 2019
By
Community NewsDistributed SQLYugabyteDB

YugabyteDB Engineering Update – June 4, 2019

We are pleased to announce that YugabyteDB 1.2.10 is live! You can read the release notes of this and previous versions here. This release is shipping with foreign key support plus 16 new features, enhancements and bug fixes. Here’s a few highlights from the 1.2.10 release:

YSQL Updates

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

  • Basic support for FOREIGN KEY constraints is now available!

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Spring Data REST Services Powered By Distributed SQL – A Hands-on Lab
May 30, 2019
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Distributed SQLHow ToPivotal Container Service (PKS)Spring

Spring Data REST Services Powered By Distributed SQL – A Hands-on Lab

The Spring application development framework is arguably the most popular framework among Java developers. However, given its extensive breadth and depth, it can be difficult to learn for new users. As the name suggests, Spring Boot makes it easy to `boot up` with the Spring framework. It shortens development time by taking an opinionated view of the framework and the associated third-party libraries. Annotation configuration and default codes are two examples of such a view.

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How to Handle Runaway Queries in a Distributed SQL Database
May 28, 2019
By
Distributed SQLHow It Works

How to Handle Runaway Queries in a Distributed SQL Database

Runaway queries are queries that scan through a large set of data. Such queries consume vast amounts of I/O and CPU resources of the database in the background, even if the results appear as harmless timeouts to the end user or the client application. How do runaway queries get executed in the first place, anyway? Everyone who uses databases has at some point or another entered SELECT * from some_large_table, only to realize they forgot to add a LIMIT n clause.

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Develop IoT Apps with Confluent Kafka, KSQL, Spring Boot & Distributed SQL
May 23, 2019
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Distributed SQLHow ToKafkaSpring

Develop IoT Apps with Confluent Kafka, KSQL, Spring Boot & Distributed SQL

In our previous post “5 Reasons Why Apache Kafka Needs a Distributed SQL Database”, we highlighted why Kafka-based data services need a distributed SQL database like YugabyteDB as their highly scalable, long-term persistent data store. In this post, we show how Confluent Kafka, KSQL, Spring Boot and YugabyteDB can be integrated to develop an application for managing Internet-of-Things (IoT) sensor data.

The Scenario – IoT-Enabled Fleet Management

A trucking company wants to track its fleet of IoT-enabled vehicles that are delivering shipments across the country.

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My Experience as a YugabyteDB Engineering Intern
May 22, 2019
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Community News

My Experience as a YugabyteDB Engineering Intern

I recently finished my winter 2019 term as a software engineering intern at YugaByte and it was a fantastic experience! I found the opportunity through their posting on the University of Waterloo internal job board and it was also the first time I had heard of YugabyteDB. I had previously completed two other internships at much larger companies and I was a little skeptical of startups. The fact that a friend’s internship at a startup had ended halfway due to the startup folding did not help allay my concerns.

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5 Reasons Why Apache Kafka Needs a Distributed SQL Database
May 21, 2019
By
Distributed SQLHow It WorksKafka

5 Reasons Why Apache Kafka Needs a Distributed SQL Database

Modern enterprise applications must be super-elastic, adaptable, and running 24/7. However, traditional request-driven architectures entail a tight coupling of applications. For example, App 1 asks for some information from App 2 and waits. App 2 then sends the requested information to App 1. This sort of app-to-app coupling hinders development agility and blocks rapid scaling.

In event-driven architectures, applications publish events to a message broker asynchronously. They trust the broker to route the message to the right application,

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Achieving Fast Failovers After Network Partitions in a Distributed SQL Database
May 15, 2019
By
Distributed SQLGoogle SpannerHow It WorksJepsen 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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YugabyteDB 2.0: A Distributed SQL Roadmap
May 13, 2019
By
Community NewsCompany NewsDistributed SQL

YugabyteDB 2.0: A Distributed SQL Roadmap

The YugabyteDB community is eagerly looking forward to v2.0, the next major release expected in Summer 2019. Needless to say, we are very excited about the depth and breadth of features in this release. Here’s an overview of the various areas we expect the new release to cover.

Distributed SQL

YSQL is YugabyteDB’s PostgreSQL wire-compatible distributed SQL API. Thanks to our design decision to use the existing PostgreSQL query layer as a starting point,

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