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The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

Porting Oracle to YugabyteDB

Porting Oracle to YugabyteDB

I am presenting an Introduction to SQL webinar at the end of the month–July 29 at 10am PT (1pm ET). In preparation for this, I needed a dataset. Because YugabyteDB is compatible with PostgreSQL, it seemed obvious to try out the PostgreSQL Tutorial site. However, I have never liked the “film database” example. I prefer the classic customers, orders, and products example. So instead I checked out the sister site the Oracle Tutorial.

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Getting Started with Longhorn Distributed Block Storage and Cloud Native Distributed SQL

Getting Started with Longhorn Distributed Block Storage and Cloud Native Distributed SQL

Editor’s note: This post was originally published on the Rancher blog, and has been cross-posted here and updated as of July 21, 2020 to account for new versions of software available.

Longhorn is cloud native distributed block storage for Kubernetes that is easy to deploy and upgrade, 100 percent open source, and persistent. Longhorn’s built-in incremental snapshot and backup features keep volume data safe, while its intuitive UI makes scheduling backups of persistent volumes easy to manage.

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Distributed SQL Tips and Tricks – July 17, 2020

Distributed SQL Tips and Tricks – July 17, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

How to identify a colocated database from the rest

One way to identify a colocated table in YugabyteDB is to look at the yb-master UI page (http://<yb-master-ip>:7000/tables).

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Announcing YugabyteDB 2.2 – Distributed SQL Made Easy

Announcing YugabyteDB 2.2 – Distributed SQL Made Easy

We are excited to announce the general availability of YugabyteDB 2.2! The highlight of this release is that YugabyteDB now supports fully-transactional distributed backups thus making mission-critical distributed SQL deployments operationally simple, even for the most demanding enterprise environments. This release also includes critical new features such as online index builds, colocated tables, and deferred constraints. The end result is that YugabyteDB continues to make distributed SQL easy. For those of you who are new to distributed SQL,

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GraphQL & Distributed SQL Tips and Tricks – July 10, 2020

GraphQL & Distributed SQL Tips and Tricks – July 10, 2020

Welcome to this week’s tips and tricks blog where we explore topics related to combining GraphQL and YugabyteDB to develop scalable APIs and services. We’ll also review upcoming events, new documentation, and blogs that have been published since the last tips and tricks post.

This next section is for those of you who might be new to either GraphQL or distributed SQL.

What’s GraphQL?

GraphQL is a query language (more specifically a specification) for your API,

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INSERT INTO Yugabyte (We’re Hiring Developer Advocates)

INSERT INTO Yugabyte (We’re Hiring Developer Advocates)

It has been an exciting last few weeks here at Yugabyte! We closed our Series B funding round, Bill Cook (formerly of Pivotal and Greenplum) joined as our new CEO, we reaffirmed our commitment to open source, and achieved a bunch of cool community adoption milestones. We are hiring for several roles across engineering, customer success, and marketing. Particularly, with a new round of funding and exploding interest in Distributed SQL,

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INSERT INTO Yugabyte (We’re Hiring, July 2020 Edition)

INSERT INTO Yugabyte (We’re Hiring, July 2020 Edition)

Recent Highlights and Happenings

It’s been another fast-moving month here at Yugabyte. Although it remains a difficult time nationally and globally, it’s our hope that sharing this information and our currently open positions may be some good news at a time when it’s needed most.

On the momentum front, we recently announced that we raised $30 million in an oversubscribed Series B funding round led by 8VC,

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Distributed SQL Tips and Tricks – June 29, 2020

Distributed SQL Tips and Tricks – June 29, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

Regular expression queries (or pattern matching queries)

YugabyteDB inherits PostgreSQL upper layer,

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Polymorphism in SQL part two – variadic functions

Polymorphism in SQL part two – variadic functions

YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer; and (2) Query Layer.

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Polymorphism in SQL part one – anyelement and anyarray

Polymorphism in SQL part one – anyelement and anyarray

The term “polymorphism”, and its inflections, has various meanings in the context of programming languages in general. Roughly, it means “chameleon-like”. Of course, Wikipedia has something to say about it, here. PostgreSQL uses it with this meaning: “Parametric polymorphism: when one or more types are not specified by name but by… symbols that can represent any type”.

The term “variadic” has a universal meaning,

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