Getting Started With SQLPad and Distributed SQL on Google Kubernetes Engine

Getting Started With SQLPad and Distributed SQL on Google Kubernetes Engine

See how to install a 3 node YugabyteDB cluster on Google Kubernetes Engine, build the sample Northwind database, build and configure SQLPad, and more! In this blog post we’ll show you how to: Install a 3 node YugabyteDB cluster on Google Kubernetes Engine, Build the sample Northwind database, Build and configure SQLPad, Start the required SQLPad processes, Launch the SQLPad UI and issue a test query to validate the deployment.

What Is Distributed SQL?

Distributed SQL databases are becoming popular with organizations interested in moving data infrastructure to the cloud or to cloud native environments. This is often motivated by the desire to reduce TCO or move away from the scaling limitations of monolithic RDBMS like Oracle, MySQL, and SQL Server. The basic characteristics of Distributed SQL are:

  • SQL API for querying and modeling data, with support for traditional RDBMS features like primary keys, foreign keys, indexes, stored procedures and triggers.
  • Automatic distributed query execution so that no single node becomes a bottleneck.
  • A distributed SQL database should support automatically distributed data storage. This includes indexes which should be automatically distributed (aka sharded) across multiple nodes of the cluster so that no single node becomes a bottleneck for ensuring high performance and high availability.
  • Distributed SQL systems should also provide for** strongly consistent replication** and distributed ACID transactions.

For a deeper discussion about what Distributed SQL is, check out,  “What is Distributed SQL?”

What Is YugabyteDB?

YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB is PostgreSQL wire compatible with support for advanced RDBMS features like stored procedures, triggers, and UDFs.

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

In this section we are going to install YugabyteDB on the cluster. The complete steps are documented  here. We’ll assume you already have a GKE cluster up and running as a starting point.

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