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Distributed PostgreSQL on a Google Spanner Architecture – Query Layer

Distributed PostgreSQL on a Google Spanner Architecture – Query Layer

Our previous post dived into the details of the storage layer of YugabyteDB called DocDB, a distributed document store inspired by Google Spanner. This post focuses on Yugabyte SQL (YSQL), a distributed, highly resilient, PostgreSQL-compatible SQL API layer powered by DocDB. A follow-up post will highlight the challenges faced and lessons learned when engineering such a database.

YSQL, Distributed PostgreSQL Made Real

Yugabyte SQL (YSQL) is a distributed and highly resilient SQL layer,

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Enhancing RocksDB for Speed & Scale

Enhancing RocksDB for Speed & Scale

As described in our previous post “How We Built a High Performance Document Store on RocksDB?”, YugabyteDB’s distributed document store (DocDB) uses RocksDB as its per-node storage engine. We made multiple performance and data density related enhancements to RocksDB in the course of embedding it into DocDB’s document storage layer (figure below). These enhancements are distributed as part of the YugabyteDB open source project. The goal of this post is to deep dive into these enhancements for the benefit of engineering teams interested in leveraging RocksDB beyond its original design intent of a fast monolithic key-value store.

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How We Built a High Performance Document Store on RocksDB?

How We Built a High Performance Document Store on RocksDB?

This blog post was co-authored by Mikhail Bautin and Kannan Muthukkaruppan

RocksDB is a popular embeddable persistent key-value store. First open sourced by Facebook in 2012 as a fork of the Google LevelDB project, it has been adapted over the years to a wide range of workloads including database storage engines and application data caching.

In this post, we explain our rationale for selecting RocksDB as a foundational building block for YugabyteDB.

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Basic Introduction to YugabyteDB Components

Basic Introduction to YugabyteDB Components

In this short blog post we are going to give you a quick overview of the components that make up a YugabyteDB universe.

Universe

YugabyteDB is composed of nodes. We collectively refer to this collection of all nodes as a universe. These nodes can be physical machines, virtual machines or containers (e.g. Kubernetes).

Clusters

A YugabyteDB universe is made up of one or more clusters. At a minimum it will contain a primary cluster,

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Getting Started with YugabyteDB’s Security Features

Getting Started with YugabyteDB’s Security Features

In this blog post we are going to give you a quick overview of YugabyteDB’s security features . We’ll cover authentication, authorization, encryption, plus a simple security checklist to help lock down your install. For the purposes of this walk-through, we are going to use the Cassandra-compatible, flexible-schema YCQL API as an example.

Authentication

First things first, authentication is not enabled by default. So, once you are through experimenting with YugabyteDB on your laptop and are ready to start development in earnest,

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YugaByte Database Engineering Update – Nov 27, 2018

YugaByte Database Engineering Update – Nov 27, 2018

Lots has happened since our last engineering update about 3 months ago. Below are some of the highlights.

PostgreSQL API Updates & PostgresConf Silicon Valley Wrap-Up

We have made a lot of progress on YSQL, the PostgreSQL compatible distributed SQL API for YugabyteDB! You can also read about YSQL architecture which covers how distributed SQL is implemented in YugabyteDB.

We were at the first ever PostgresConf Silicon Valley in October 2018.

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Distributed Backups in Multi-Region YugabyteDB Clusters

Distributed Backups in Multi-Region YugabyteDB Clusters

Our post Getting Started with Distributed Backups in YugabyteDB details the core architecture powering distributed backups in YugabyteDB. It also highlights a few backup/restore operations in a single region, multi-AZ cluster. In this post, we perform distributed backups in a multi-region YugabyteDB cluster and verify that we achieve performance characteristics similar to those observed in a single region cluster.

We configured a 9 node cluster with 3 availability zones across 2 regions and repeated the benchmark introduced in the post.

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Getting Started with Distributed Backups in YugabyteDB

Getting Started with Distributed Backups in YugabyteDB

YugabyteDB is a distributed database with a Google Spanner-inspired strongly consistent replication architecture that is purpose-built for high availability and high performance. This architecture allows administrators to place replicas in independent fault domains, which can be either availability zones or racks in a single region or different regions altogether. These types of multi-AZ or multi-region deployments have the immediate advantage of guaranteeing organizations a higher order of resilience in the event of a zone or region failure.

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