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Category: PostgreSQL

An Introduction to Distributed SQL: Glossary of Terms

An Introduction to Distributed SQL: Glossary of Terms

In 2017 we introduced YugabyteDB, an open source, high performance, cloud native database for mission-critical applications. As a team, we have worked first hand on a number of databases such as Apache HBase, Apache Cassandra (from even before it was open sourced), Oracle, and RocksDB. We were the team that built and ran Facebook’s NoSQL platform that powered a number of user-facing, real-time applications. Over the years, we have had the opportunity and good fortune to become intimately familiar with what it takes to power mission-critical applications in a cloud-native architecture.

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Document Data Modeling in YugabyteDB with the JSON Data Types

Document Data Modeling in YugabyteDB with the JSON Data Types

YugabyteDB has two JSON data types, json and jsonb, to let you store documents in a column in a YSQL table and to do content-based queries with index support. YSQL is PostgreSQL compatible and it therefore supports every one of the rich set of about thirty five JSON-specific operators and functions that users of PostgreSQL’s JSON functionality might already know, and rely upon. These features let you handle semi-structured data,

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Getting Started with pgbench and Distributed SQL on GKE

Getting Started with pgbench and Distributed SQL on GKE

pgbench is a simple program for running benchmark tests on PostgreSQL. It runs the same sequence of SQL commands over and over, possibly in multiple concurrent database sessions, and then calculates the average transaction rate (transactions per second). By default, pgbench tests a scenario that is loosely based on TPC-B, involving five SELECT, UPDATE, and INSERT commands per transaction. However, it is easy to test other cases by writing your own transaction script files.

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YugabyteDB Engineering Update – March 17, 2020

YugabyteDB Engineering Update – March 17, 2020

We are excited to announce that YugabyteDB 2.1.2 is GA! You can read the official release notes here. This release shipped with over 30 new enhancements and fixes.

Before we dive in, we wanted to let you know that the Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts. We have also transitioned to online meetings with our customers,

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Distributed SQL Tips and Tricks – March 13, 2020

Distributed SQL Tips and Tricks – March 13, 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 can I UPSERT multiple rows with an update?

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Monitoring YugabyteDB with Prometheus and Grafana in Kubernetes

Monitoring YugabyteDB with Prometheus and Grafana in Kubernetes

Prometheus has matured into a robust time-series metrics monitoring solution since it was first open-sourced in 2012. CNCF incubated it as its second project after Kubernetes in 2016 followed by graduation in 2018. Today it is arguably the most popular option for monitoring Kubernetes cluster metrics as well as container-based applications. Combined with Grafana for visualization, it becomes a potent combination for dashboarding performance of applications. Nodes in a YugabyteDB cluster have exposed a Prometheus endpoint for easy metrics collection right from the inception of the open source project.

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Distributed SQL Tips and Tricks – March 6, 2020

Distributed SQL Tips and Tricks – March 6, 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 can I configure YugabyteDB for serialization isolation level?

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Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Polyglot persistence is the widely accepted database implementation strategy when it comes to decomposing monoliths into microservices. In practice, this requires every microservice to model its data needs independently using a database that is purpose-built for that particular model, and thereafter store the data in an independent database instance. While independent database instances as a deployment paradigm makes sense from an decoupled microservices architecture standpoint, choosing multiple different databases each with a specialized data model is usually justified in the context of performance,

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5 Query Pushdowns for Distributed SQL and How They Differ from a Traditional RDBMS

5 Query Pushdowns for Distributed SQL and How They Differ from a Traditional RDBMS

A pushdown is an optimization to improve the performance of a SQL query by moving its processing as close to the data as possible. Pushdowns can drastically reduce SQL statement processing time by filtering data before transferring it over the network, filtering data before loading it into memory, or pruning out entire files or blocks that  do not need to be read. PostgreSQL is a highly optimized single-node RDBMS when it comes to pushdowns. Because Yugabyte’s YSQL API reuses the upper half of PostgreSQL,

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YugabyteDB Engineering Update – Feb 28, 2020

YugabyteDB Engineering Update – Feb 28, 2020

We are excited to announce that YugabyteDB 2.1 went GA earlier this week! You can read the official release notes here. This release shipped with almost 70 new enhancements and 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) is PostgreSQL wire compatible.

Highlights of this release include:

Generally Available Features

Geo-distributed,

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