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.
Before starting the migration there are a few prerequisites you’ll need to address.
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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:
When looking to pool your connections with YugabyteDB many users take a look at PgBouncer,
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In this blog post, our product marketer for YugabyteDB’s database-as-a-service, Gavin Johnson, explains why he chose Yugabyte over dozens of other companies.
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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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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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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Hi there…a big hello from all of us at Falarica!!!
It is with immense pleasure and great pride that we, Falarica.io, decided to join hands with Yugabyte to build great data products together. Thanks to the entire Yugabyte team for extending a very warm welcome to us. And of course a very big thank you to the entire Falarica team for their hard work in creating considerable value in a short span of time.
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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:
When deploying a YugabyteDB cluster on a cloud,
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At this year’s Distributed SQL Summit Asia 2021, Dhaval Jagani from Infosys presented the talk, “The Future of Databases.” In this post you can find a summary of the talk, some of the presentation highlights, as well as links to this talk and others from the event.
Dhaval kicked things off by exploring the data trends he’s spotted from his vantage at Infosys,
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We started off 2021 strong with exciting announcements, including:
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