cross-posted from: https://programming.dev/post/2656516

What are your real-world applications of this versatile data structure?

They are useful for optimization in databases like sqlite and query engines like apache spark. Application developers can use them as concise representations of user data for filtering previously seen items.

The linked site gives a short introduction to bloom filters along with some links to further reading:

A Bloom filter is a data structure designed to tell you, rapidly and memory-efficiently, whether an element is present in a set. The price paid for this efficiency is that a Bloom filter is a probabilistic data structure: it tells us that the element either definitely is not in the set or may be in the set.

 

Throwing Rocks: Without spoiling the plot, what are some good books that involve the threat of weaponizing a planet’s gravity well against its population?

Please if possible don’t specify whether the event actually happens in the book to keep it a mystery.

 

cross-posted from: https://literature.cafe/post/270743 !fiction@literature.cafe

I have been reading the English translations and the characters and especially their dialogues feel very fake. I do appreciate the hard science aspect of the books but the long monologues, kids speaking like middle-aged philosophers, and army personnel being one-dimensional macho men breaks the immersion for me. It has the depth of a 1980s low-budget thriller.

I don’t read a lot of hard science fiction or translations of Chinese books. I don’t know if this is genre-related.

 

This article helped defined the “data engineer” role so I’d say it belongs here!

Although some time has passed, I find it very relevant: SQL is used more than ever, graphical ETL tools that don’t output code are rare and vendors are still trying to convince executives to trust all their data to proprietary data warehouses.

The author Maxime Beauchemin also wrote Airflow and Superset so they have some experience worth listening to.