The Distributed SQL Blog

Getting Started with IntelliJ IDEA and Distributed SQL

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

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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How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

Justuno provides a Conversion Rate Optimization (CRO) Platform that enables e-commerce sites to turn visitors into customers through personalized onsite messaging, intelligent cross-selling, and upselling. More than 188,000 (and counting) industry leading brands improve sales and the customer experience at the same time.

At the heart of the Justuno platform is visitor intelligence data, and there’s a lot of it. Justuno tracks between 30 and 50 data points per visitor–such as time on site,

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

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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Heroku Add-on for Yugabyte Cloud Now Available in Public Beta

Heroku Add-on for Yugabyte Cloud Now Available in Public Beta

Today, we are pleased to announce the public beta release of the Heroku Yugabyte Cloud add-on. With new accessibility to the Heroku marketplace, the process of deploying a fully-managed distributed SQL database in the cloud is now radically simple. For those of you who are new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud native distributed SQL database that is 100% open source. It puts a premium on high performance, data resilience, and geographic distribution,

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

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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Recap: YugabyteDB at KubeCon + CloudNativeCon Europe 2020

Recap: YugabyteDB at KubeCon + CloudNativeCon Europe 2020

What a great KubeCon + CloudNativeCon Europe 2020 earlier this month! We were happy to participate, sponsor, and help #KeepCloudNativeConnected.

Thank you to everyone who stopped by the YugabyteDB booth, and a big thanks to all who redeemed your virtual swag of $5 to charity. Together, your swag redemptions ended up in more than $3,000 being donated across these three charities:

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Row Counts of Tables in a SQL Schema and Database:  PostgreSQL vs. YugabyteDB

Row Counts of Tables in a SQL Schema and Database: PostgreSQL vs. YugabyteDB

Getting the total row counts of data in tables across various dimensions (per-table, per-schema, and in a given database) is a useful SQL technique to have in your toolkit. This blog post will guide you to obtain per-table row counts of all tables in PostgreSQL and YugabyteDB. This can serve as a first sanity check after migrating an application with pre-existing data from PostgreSQL to YugabyteDB.

This blog post also outlines how to get the following row counts broken down per table in a schema,

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

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

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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