Run Your First CrateDB Cluster on Kubernetes, Part One
Part one of a miniseries that walks you through the process of setting up your first CrateDB cluster on Kubernetes.
Lab Notes: How We Made Joins 23 Thousand Times Faster, Part Two
This is part two of a three-part miniseries that looks at how we improved join performance in the CrateDB 3.0 release.
Lab Notes: How We Made Joins 23 Thousand Times Faster, Part One
We made faster joins by implementing a block hash algorithm and distributing its execution across the cluster. Find out more in this post.
Lab Notes: Adding Support for Joins on Virtual Tables and Multi-Row Subselects
We recently added support for multi-row subselects. Memory can cause bottlenecks, but fortunately, we found the solution.
What to Look at When You're Monitoring a Distributed Java Application
In this post we will show you what to look at when you're monitoring a distributed java application.
Lab Notes: Extending Support for Scalar Subqueries
In this post, I will introduce scalar subqueries, explain what challenges we faced extending this feature in CrateDB, and then show you how we addressed those challenges.
Lab Notes: Implementing Non-Collapsable Subselects
CrateDB now supports non-collapsable subselects. Let us introduce you to the problem, and show you the steps Crate.io took to solve it.
Analyzing Docker Container Performance With Native Tools
In this blog post, we will set up a small CrateDB cluster with Docker and go through some useful Docker commands that let us take a look at performance.
How We Use StackRox to Secure CrateDB Clusters on Docker
How we deployed StackRox to harden database security on our public-facing, Docker-based CrateDB cluster.
When is a SQL Subquery 260x Faster than a Left Join?
Learn why SQL subquery performance was 260x faster than a left join when querying 4.6 millions rows of ecommerce cross-sell data in a CrateDB database.