The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

Using Envoy Proxy’s PostgreSQL & TCP Filters to Collect Yugabyte SQL Statistics

Layer 7 proxies like NGINX and HAProxy have been popular since the mid-2000s. The term “proxy” refers to their role as an intermediary for the traffic between an application client and an application server. The “layer 7” classification comes from the fact that these proxies take routing decisions based on URLs, IPs, TCP/UDP ports, cookies, or any information present in messages sent over a layer 7 (aka application layer) networking protocol like HTTP and gRPC.

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Webinar Recap: CRUD Operations with Hasura GraphQL and Distributed SQL

For those of you who missed last week’s YugabyteDB Community Q&A session, which covered GraphQL fundamentals, here’s the playback:

If you are interested in further exploring the possibilities of Hasura GraphQL and Distributed SQL, check out these resources.

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Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL

Remote Joins in Hasura GraphQL extend the concept of joining data across tables, to being able to join data across tables and remote data sources. In this blog post we are going to demonstrate this capability by configuring the following set up.

  • A 3 node YugabyteDB cluster running on GKE with a Hasura GraphQL Engine attached
  • A 3 node YugabyteDB cluster running on AKS with a Hasura GraphQL Engine attached
  • A Remote Schema and Remote Relationship configured
  • The ability to issue GraphQL queries that join data from two different databases,

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Deploying a Real-Time Location App with Hasura GraphQL Engine and Distributed SQL

Hasura is one of the leading vendors in the GraphQL ecosystem. They offer an open source engine that connects to your databases and microservices, and then auto-generates a production-ready GraphQL backend. GraphQL is a query language (more specifically a specification) for your API, and a server-side runtime for executing queries by using a type system you define for your data.

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Introducing yugabyted, the Simplest Way to Get Started with YugabyteDB

Users familiar with YugabyteDB’s architecture know that it is based on two servers where cluster metadata storage and administrative operations are managed by a YB-Master metadata server that is independent from the YB-TServer database server. The end result is that the YB-Master server can be configured and tuned (in a manner that is completely isolated from YB-TServer) to achieve higher performance and faster resilience than a single-server architecture.

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What’s New and Improved in YugabyteDB Docs – August 2020

Welcome to this month’s edition of what’s new and improved in YugabyteDB Docs. We’re continually adding to and updating the documentation to give you the information you need to make the most out of YugabyteDB. This post covers recent content added, and changes made, to the YugabyteDB documentation since the last posting.

Before we dive into the details,

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Version Control for Distributed SQL Databases with Flyway

Flyway is an open source database version control and migration tool that stresses simplicity and convention over configuration. Changes to the database can be written in SQL (and in some database-specific dialects like PL/SQL and T-SQL) or Java. You interact with Flyway using a command-line client, however there are a variety of plugins that can be leveraged, including Maven,

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