We continue learning SQL by solving math puzzles from Project Euler. This article shows how to extend ClickHouse capabilities with a user defined function (UDF) written in C++.
Solving math puzzles from Project Euler is a great way to learn about ClickHouse SQL, especially array functions. Math can also help you speed up queries by orders of magnitude.
In Part 2 of this two-part series, we will pick up where we left off and first try to run all the integration tests by hand. We will first try the naive approach and then go back to ci-runner.py to get the…
Most ClickHouse developers rely heavily on tests executed by the CI/CD pipeline. In this two-part article, we will show how you can execute ClickHouse integration tests by hand as well as look into the complexity of the CI/CD pipeline that…
In the second part of this series, we’ll look at how to enable secure connections using SSL and learn how to lock down the server’s access by filtering the hosts and networks from which connections can be made to our…
Security is not a trivial topic; it is affected by many configuration settings that can be defined for ClickHouse. In part 1 of this series, we identify what ports are opened by default, compiled a list of all the ports…
In this Part 1 article of our latest series on ClickHouse caches, we break down cache types like query caches that are used to speed up SELECT query processing. Read how caches can increase database system performance and capacity.
Key-value pairs are widely used to organize data but can become challenging when you want to analyze data of different formats. Learn how you can normalize and extract from different formats with a single approach.
How much do you know about ClickHouse ReplacingMergeTree? Learn about this powerful engine, how it works, and all its functionalities | old and new | so you can build real-time synchronization pipelines from OLTP databases like MySQL.
It is very easy to start collecting data into ClickHouse from public HTTP APIs like DockerHub. Follow our step-by-step guide to create a simple ClickHouse app that extracts data from DockerHub and makes it available for reporting.
![[Joint-Webinar] How to Build Fast, Scalable Application Monitoring using Open Source](https://altinity.com/wp-content/uploads/2023/01/Product-Webinar-Jan-241-300x169.png)
Monitoring is the key to successful operation of any software service, but commercial solutions are complex, expensive, and slow. Let us show you how to build monitoring that is simple, cost-effective, and fast using open source stacks easily accessible to…
![[Webinar] Own your ClickHouse® data with Altinity.Cloud Anywhere](https://altinity.com/wp-content/uploads/2022/12/Product-Webinar-Jan-17-300x169.png)
Altinity.Cloud is a managed ClickHouse platform for high-performance analytics. But what if you want to run ClickHouse in your own cloud account? Altinity.Cloud Anywhere does exactly that. In this webinar, we’ll explain how Altinity.Cloud Anywhere works, then walk through the…
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