Distributed SQL

Getting Started with PostgreSQL’s Row Level Security in YugabyteDB

Getting Started with PostgreSQL’s Row Level Security in YugabyteDB

In this blog post we are going to introduce you to how PostgreSQL’s row level security feature works in the latest YugabyteDB 2.0.6 release. YugabyteDB supports RLS and a host of other security and encryption features “out-of-the-box,” as part of the open source distribution.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) and drivers are PostgreSQL wire compatible.

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Using Stored Procedures in Distributed SQL Databases

Using Stored Procedures in Distributed SQL Databases

These days, most monolithic SQL databases support stored procedures. This support first emerged in commercially available offerings in the late nineteen eighties. However, stored procedure support is not yet standard in distributed SQL databases. In fact, YugabyteDB is just one of two in this category—supporting stored procedures written in PostgreSQL’s PL/pgSQL. (Aurora also supports stored procedures.) This post recaps the case for stored procedures that motivated their introduction all those years ago. And it describes a performance experiment that measures one of the benefits brought by using stored procedures: the reduction in client-server round trips for multi-statement business transactions.

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YugabyteDB Engineering Update – Nov 27, 2019

YugabyteDB Engineering Update – Nov 27, 2019

We are pleased to announce that YugabyteDB 2.0.6 is live!  You can read the official release notes of this and previous versions here. This release is shipping with almost 30 new enhancements and bug fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) and drivers are PostgreSQL wire compatible

YSQL changes

  • Transparent read restarts for general queries.

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How Plume Handled Billions of Operations Per Day Despite an AWS Zone Outage

How Plume Handled Billions of Operations Per Day Despite an AWS Zone Outage

Enterprises deploy YugabyteDB clusters across multiple availability zones (AZs) in order to ensure continuous availability of their business-critical services even when faced with cloud infrastructure failures like zone outages. On November 12, 2019, there was one such outage of an entire availability zone in the eu-central-1 region of AWS. This was reported on the AWS status page on that day, along with an official update.

In this post, we are going to look at how a Yugabyte Platform customer,

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YugabyteDB Community Update, Tricks and Tips – Nov 22, 2019

YugabyteDB Community Update, Tricks and Tips – Nov 22, 2019

Welcome to this week’s community update where we recap a few interesting questions that have popped up in the last week or so on the YugabyteDB Slack channel, the Forum, GitHub or Stackoverflow. We’ll also review upcoming events, new blogs and documentation that has been published since the last update. Ok, let’s dive right in:

How do data compactions work in YugabyteDB?

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YugabyteDB Engineering Update – Nov 20, 2019

YugabyteDB Engineering Update – Nov 20, 2019

We are pleased to announce that YugabyteDB 2.0.5 is live!  You can read the offical release notes of this and previous versions here. This release is shipping with over 40 new enhancements and bug fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB’s SQL API (YSQL) and drivers are PostgreSQL wire compatible

YSQL changes

  • Change HINT text for unsupported “alter procedure/function”.

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Announcing YugabyteDB on Crossplane, the Open Source Multicloud Control Plane

Announcing YugabyteDB on Crossplane, the Open Source Multicloud Control Plane

We are excited to announce that YugabyteDB is now available as a self-managed database service on Crossplane, the open-source multicloud control plane. Built on top of our recent Rook Kubernetes Operator for YugabyteDB, this offering makes YugabyteDB one of the first distributed SQL databases available on Crossplane.

Benefits of the Joint Solution

With Crossplane as the single control plane, users can provision and manage multiple YugabyteDB clusters across Google Kubernetes Engine,

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YugabyteDB Community Engineering Update, Tricks and Tips – Nov 8, 2019

YugabyteDB Community Engineering Update, Tricks and Tips – Nov 8, 2019

Welcome to this week’s community update where we recap a few interesting questions that have popped up in the last week or so on the YugabyteDB Slack channel, the Forum, GitHub or Stackoverflow. We’ll also review upcoming events, new blogs and documentation that has been published since the last update. Ok, let’s dive right in:

What effect does TTL have on performance?

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YugabyteDB Engineering Update – Oct 30, 2019

YugabyteDB Engineering Update – Oct 30, 2019

We are pleased to announce that YugabyteDB 2.0.3 is live! You can read the release notes of this and previous versions here. This release is shipping with 50 new enhancements and bug fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB’s SQL API (YSQL) and drivers are PostgreSQL wire compatible

[#1845] YSQL: Support for TLS Server to Server Encryption

TLS encryption is now supported between yb-master and yb-tserver processes.

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The Benefit of Partial Indexes in Distributed SQL Databases

The Benefit of Partial Indexes in Distributed SQL Databases

If a partial index is used, instead of a regular one, on a nullable column—where only a small fraction of the rows have not null values for this column—then the response time for inserts, updates, and deletes can be shortened significantly. As a bonus, the response times for single row selects shorten a little bit too. This post explains what a partial index is, shows how to create one, describes the canonical use case that calls for a partial index,

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