The Art of Not Scanning Everything
This week, while the coffee is slow and the world is loud, I am quietly enjoying a ClickHouse charming Dictionary structure, watching a billion rows find their meaning in a fraction of a second.
This week, while the coffee is slow and the world is loud, I am quietly enjoying a ClickHouse charming Dictionary structure, watching a billion rows find their meaning in a fraction of a second.
In analytical databases, JOINs are often the silent killer of query performance. Today I was diving deep into the different Clickhouse JOIN algorithms and want to share with you my summary.
These days, I am having a serious columnar affair with my new friend, ClickHouse. Since I have some experience with quite a few other data stores, I notice new features that I once wished were present. Today, I will share with you my reflection on some interesting Clickhouse data types that have grabbed my attention.
We use both ClickHouse and Databricks for different data analytics use cases. A recurring question is often asked: when to use each platform. I’ve created the decision tree below to help developers choose, and would be happy to hear your thoughts.