The Distributed SQL Blog

Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed
June 23, 2021
By
Distributed SQLGraphQLHow ToYugabyteDB Aeon

Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

Hasura is a leading vendor in the GraphQL ecosystem, offering a powerful alternative to REST for building microservices and mobile applications. Hasura’s open source GraphQL Engine connects to your database and instantly auto-generates a production-ready GraphQL API backend. YugabyteDB, the open source distributed SQL database, is a perfect complement to GraphQL giving you horizontal scalability, fault tolerance, and global data distribution in a single system. YugabyteDB eliminates many of the scaling and resilience limitations of a traditional monolithic RDBMS.

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Reads in YugabyteDB – Tuning Consistency, Latency and Fault Tolerance
June 17, 2021
By
DatabasesDistributed SQLHow To

Reads in YugabyteDB – Tuning Consistency, Latency and Fault Tolerance

Introduction

YugabyteDB is built primarily to be a CP database per the CAP theorem. It supports two interfaces – YSQL for SQL workloads and YCQL for Cassandra-like workloads. In this blog, we will primarily talk about the YCQL interface. When an application interacts with the database using the YCQL interface, the writes are always consistent and reads are consistent by default. When this level of consistency is not required, YugabyteDB supports two other types of reads:

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Migrating MySQL to YugabyteDB Using pgloader
June 11, 2021
By
Database MigrationDatabasesDockerHow To

Migrating MySQL to YugabyteDB Using pgloader

We understand that database migrations can be painful. We have helped users successfully migrate from MySQL to YugabyteDB, a PostgreSQL-compatible distributed SQL database. A very popular tool to accomplish this task is pgloader. In this post, we will cover how to migrate both your MySQL schema as well as data to YugabyteDB.

Prerequisites

Before starting the migration there are a few prerequisites you’ll need to address.

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Distributed SQL Tips and Tricks – June 10th, 2021
June 10, 2021
By
DatabasesDistributed SQLHow To

Distributed SQL Tips and Tricks – June 10th, 2021

Welcome back to our bi-weekly 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 recently. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s dive in:

Connection Pooling with YugabyteDB

When looking to pool your connections with YugabyteDB many users take a look at PgBouncer,

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The YugabyteDB Vagrant Box
June 2, 2021
By
DatabasesDistributed SQLHow To

The YugabyteDB Vagrant Box

Using Vagrant, anyone running Windows, Linux or Mac OS X can run and test drive a YugabyteDB cluster without the need to install and configure YugabyteDB. Plus, you can start over if you want to test something different in a matter of minutes, or scale up the cluster, etc.

Please mind that the Vagrant images are non-official images for demo and test purposes, and not configured nor representative for performance.

This is how it works (Mac OS X):

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Fine-Grained Control for High Availability: Increasing Node Failure Threshold
May 27, 2021
By
Distributed SQLHow It WorksPerformance Benchmarks

Fine-Grained Control for High Availability: Increasing Node Failure Threshold

The purpose of this blog post is to show how you can increase the failure threshold when a node goes down, which happens for a variety of reasons including hardware or network issues and most commonly maintenance. The failure threshold is the amount of time YugabyteDB would wait, after a node goes down, for it to potentially come back up. After reaching this threshold the physical data will begin to move from the dead node to other nodes in the cluster.

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People and Potential: Why I Joined Yugabyte
May 25, 2021
By
Community NewsCompany NewsDatabasesDistributed SQLOpen Source

People and Potential: Why I Joined Yugabyte

When I first started my graduate studies in databases in 2012, I remember reading a freshly-minted paper that was making big waves in the DB community: Spanner: Google’s Globally-Distributed Database. I remember being blown away by the scale of the problems being tackled. Synchronizing a globally-distributed database while maintaining a usable transaction latency seemed an impossible task, one that comes with challenges that only exist on the global scale. As a naive grad student,

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