YugaByte DB

The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

Distributed SQL How To PostgreSQL
July 26, 2019
by Jimmy Guerrero

Getting Started with DBeaver on a Distributed SQL Database

If you’re a database developer, you know that you need different SQL statements for creating schemas, ad-hoc querying, initiating backups, or troubleshooting. For these scenarios, finding the right graphical tool, can speed up these tasks and make you more productive. Over the years, the PostgreSQL community has developed several open-sourced graphical tools for managing PostgreSQL databases, visualizing the datasets it contains,

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Distributed SQL How To PostgreSQL
July 25, 2019
by Jimmy Guerrero

PostgreSQL How-to: SportsDB Running on a Distributed SQL Database

SportsDB is a sample dataset compiled from multiple sources, encompassing a variety of sports including football, baseball, ice hockey and more. It also cross-references many different types of content media. It is capable of supporting queries for the most intense of sports data applications, yet is simple enough for use by those with minimal database experience. The database itself is comprised of over 100 tables and just as many sequences,

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Distributed SQL How To PostgreSQL
July 21, 2019
by Jimmy Guerrero

How-to: The PGExercises PostgreSQL Tutorial Running on a Distributed SQL Database

PgExercises is a sample dataset used to power the PostgreSQL Exercises website. The site is comprised of over 80 exercises designed to be used as a companion to the official PostgreSQL documentation. The exercises on the PGExercises site range from simple SELECT statements and WHERE clauses, through JOINs and CASE statements, then on to aggregations, window functions,

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Distributed SQL How To PostgreSQL
July 17, 2019
by Jimmy Guerrero

How-to: The Northwind PostgreSQL Sample Database Running on a Distributed SQL Database

The Northwind database is a sample database that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. The Northwind database contains the sales data for a fictitious company called “Northwind Traders,” which imports and exports specialty foods from around the world. The Northwind database is an excellent tutorial schema for a small-business ERP,

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Community News Company News Distributed SQL YugabyteDB 1.3
July 16, 2019
by Karthik Ranganathan

Why We Changed YugabyteDB Licensing to 100% Open Source

We are excited to announce that YugabyteDB is now 100% open source under the Apache 2.0 license. This means previously closed-source, commercial, enterprise features such as Distributed Backups, Data Encryption and Read Replicas are now available in the open source project and are completely free to use. Same applies to upcoming new features like Change Data Capture and 2 Data Center Deployments.

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Community News Release Announcements
July 10, 2019
by Jimmy Guerrero

YugaByte DB Engineering & Community Update – July 10, 2019

YugaByte DB Release Updates

We are pleased to announce that YugaByte DB 1.2.12 is live! You can read the release notes of this and previous versions here. This release is shipping with 11 new enhancements and bug fixes. This also means we are getting closer to our 2.0 release at the end of the Summer in which the YSQL API will become generally available.

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Distributed SQL
July 9, 2019
by Jimmy Guerrero

Announcing Distributed SQL Summit Presented by YugaByte and PostgresConf

YugaByte is excited to announce in partnership with PostgresConf, that the inaugural Distributed SQL Summit is taking place on September 20, 2019 in San Jose, California! The Distributed SQL Summit is the first ever event to focus exclusively on sharing best practices and technical knowledge on the cloud-native approach to deploying, operating and scaling distributed SQL databases.

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Distributed SQL How To PostgreSQL
July 2, 2019
by Bryn Llewellyn

Relational Data Modeling with Foreign Keys in a Distributed SQL Database

Primary and foreign key constraints are as essential to a relational database as are tables and columns—without these, you cannot implement a design that conforms to the relational model. Their implementation is a technical challenge. For example, when child rows are inserted, their parent rows must be efficiently restricted; and when parent rows are deleted, multi-table transactions are needed. Nevertheless,

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