How To

Getting Started with IntelliJ IDEA and Distributed SQL
September 29, 2020
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DatabasesDistributed SQLHow ToPostgreSQL

Getting Started with IntelliJ IDEA and Distributed SQL

IntelliJ IDEA is a popular integrated development environment (IDE) written in Java for developing software. It is developed by JetBrains and is available as an ache 2 licensed community edition and in a proprietary commercial edition. IntelliJ supports a variety of datasources within their IDE. Because YugabyteDB is PostgreSQL compatible, most third-party tools and apps will work “out of the box.” IntelliJ is no exception here.

In this blog post we’ll walk you though the following steps:

  • Install a 3 node YugabyteDB cluster on Google Kubernetes Platform
  • Install the Northwind sample database
  • Configure IntelliJ to work with YugabyteDB
  • Test out some basic IntelliJ database features with YugabyteD

Step 1: Install YugabyteDB on a GKE Cluster using Helm 3

In this section we are going to install YugabyteDB on the cluster.

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Use Retool to Quickly Build Distributed SQL and React Apps
September 24, 2020
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DatabasesDistributed SQLHow ToPostgreSQL

Use Retool to Quickly Build Distributed SQL and React Apps

Retool is a next generation WSIWYG SaaS-based tool that enables you to quickly build React applications for internal consumption from your existing data sources using a variety of pre-built “building blocks.” Developers can choose from over 58 drag and drop components and combine them with custom JavaScript to create applications that can be securely deployed on-premise or hosted environments like Heroku. Retool supports over 30 native integrations including PostgreSQL, GraphQL, AWS S3, and Cassandra.

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What’s New and Improved in YugabyteDB Docs – September 2020
September 22, 2020
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Community NewsDatabasesDistributed SQLHow ToPostgreSQL

What’s New and Improved in YugabyteDB Docs – September 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.

YSQL

What is YSQL? Yugabyte Structured Query Language (YSQL) is a fully-relational, PostgreSQL-compatible API.

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Distributed SQL Tips and Tricks for PostgreSQL and Oracle DBAs – Sep 9, 2020
September 9, 2020
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Database MigrationDistributed SQLHow ToPostgreSQL

Distributed SQL Tips and Tricks for PostgreSQL and Oracle DBAs – Sep 9, 2020

Welcome to this week’s tips and tricks blog where we explore both beginner and advanced YugabyteDB topics for PostgreSQL and Oracle DBAs.

Please note that most examples in the post make use of the Northwind sample database. Instructions on how to get it installed are here.

Ok, let’s dive in…

Is there a functional equivalent to Oracle’s NVL in PostgreSQL or YugabyteDB?

In a nutshell,

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Using Envoy Proxy’s PostgreSQL & TCP Filters to Collect Yugabyte SQL Statistics
August 26, 2020
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DatabasesDistributed SQLDockerEcosystem IntegrationsHow ToKubernetesPostgreSQL

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
August 25, 2020
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DatabasesDistributed SQLGraphQLHow ToPostgreSQL

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
August 24, 2020
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Distributed SQLGoogle Cloud PlatformGraphQLHow ToKubernetesMicrosoft AzurePostgreSQL

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
August 21, 2020
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DatabasesDistributed SQLGoogle Cloud PlatformGraphQLHow ToKubernetes

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. GraphQL is often used for microservices, mobile apps, and as an alternative to REST.

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Distributed SQL Tips and Tricks – Aug 17, 2020
August 17, 2020
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DatabasesDistributed SQLHow ToPostgreSQL

Distributed SQL Tips and Tricks – Aug 17, 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 are secondary indexes stored internally in YugabyteDB?

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