RocksDB VS React

RocksDB: A high-performance embedded database optimized for multi-core CPUs and fast storage like SSDs. Its use of a log-structured merge-tree (LSM tree) makes it suitable for applications requiring high throughput and efficient storage, such as streaming data processing.

[RocksDB](https://rocksdb.org/) isn’t a distributed storage system, fwiw. It’s an embedded KV engine similar to LevelDB, LMDB, or really sqlite (though that’s full SQL, not just KV)

To output the top 3 rocks, our engine has to first store all the rocks in some sorted way. To do this, we of course picked RocksDB, an embedded lexicographically sorted key-value store, which acts as the sorting operation's persistent state. In our RocksDB state, the diffs are keyed by the value of weight, and since RocksDB is sorted, our stored diffs are automatically sorted by their weight.

The in-memory version of Memgraph uses Delta storage to support multi-version concurrency control (MVCC). However, for larger-than-memory storage, we decided to use the Optimistic Concurrency Control Protocol (OCC) since we assumed conflicts would rarely happen, and we could make use of RocksDB’s transactions without dealing with the custom layer of complexity like in the case of Delta storage.

I was looking at https://github.com/facebook/rocksdb/ but it seems to not allow queries by value, as my last requirmenet.

Tuning RocksDB well is a very very hard challenge, and one that I am happy to not do day to day anymore. RocksDB is very powerful but it comes with other very sharp edges. Compaction is one of those, and all answers are likely workload dependent.

If you are worried about write amplification then leveled compactions are sub-optimal. I would try the universal compaction.

- https://github.com/facebook/rocksdb/wiki/Universal-Compactio...

It's fairly challenging to write a KV database, and takes several years of development to get the balance right between performance and reliability and avoiding data loss. Maybe read through the documentation for RocksDB https://github.com/facebook/rocksdb/wiki/RocksDB-Overview and watch the video on why it was developed and that may give you an impression of what is involved.

LMDB is much more sain in the sense that it supports real ACID transactions instead of savepoints for RocksDB. The latter is heavy and consumes a lot more memory for a lot less read throughput. However, RocksDB has a much better parallel and concurrent write story, where you can merge entries with merge functions and therefore write from multiple CPUs.

https://github.com/facebook/rocksdb/issues?q=is%3Aissue+clic...

Here are some bugs in JeMalloc:

We are continuing to add new project templates for various types of projects, and we've recently created one for the infamous combination of React with Vite tooling.

Go to https://react.dev/?uwu=true for a surprise.

You can use any frontend framework you want — react-based tooling, however, has a natural advantage as it models everything as a function of state, which can map 1:1 with the concept in Burr. In the demo app we use react, react-query, and tailwind, but we’ll be skipping over this largely (it is not central to the purpose of the post).

Oddly, no info on changelog: https://github.com/facebook/react/blob/main/CHANGELOG.md

In this post, we get to know more about Preact, one of this year's trending libraries. And we'll compare it to React to see which one suits better for our projects.

Cheryl Murphy is not only a dedicated full-stack web developer skilled in technologies like React, Next.js, and NestJs but also a community-driven professional who recently took on the role of volunteer project team lead at Web Dev Path. With a dual Bachelor's degree in Computing and Chemical Engineering from Monash University, Cheryl’s journey in tech is marked by a passion for building accessible solutions and a commitment to fostering community within tech.

Basic knowledge of ReactJs

Google Translate and many other libraries break React based sites if they are using refs.

I don't think that point it falls under "written on naive assumptions"

https://github.com/facebook/react/issues/11538

the issue says closed but you can easily catch it in various sites and use cases.

This article serves as your comprehensive guide to mastering the art of combining Bootstrap and React seamlessly. Dive in to uncover the tips, tricks, and best practices to elevate your UI design game effortlessly.

This isn’t an accident; when Meta introduced React Server Components, Dan Abramov explicitly stated that they collaborated with the Next.js team to develop the RSC webpack plugin.