bolt
lila
bolt | lila | |
---|---|---|
22 | 795 | |
11,201 | 14,606 | |
- | 0.9% | |
0.0 | 10.0 | |
about 6 years ago | 1 day ago | |
Go | Scala | |
- | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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bolt
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Announcing jammdb: a simple single-file key/value store
This crate started out as just a way for me to learn how boltdb works, while learning Rust at the same time. But somehow people started finding and using it and seem to like the simple API, so I figured I might as well share it in case someone else finds it useful too. If you want to know more about my motivations and the history of this crate, you can read the release notes on version 0.8.0!
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Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
Some example of embeddable database could be genji, badger and boltdb
- Resource for making database from scratch
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Ask HN: Books on designing disk-optimized data structures?
Designing Data Intensive applications- specifically chapter 3 and 4 which deal with strategies and algorithms for storing and encoding data to be stored on disk and their pros and cons.
Once you read that, I'll suggest reading the source of a simple embedded key-value database, I wouldn't bother with RDBMs as they are complex beasts and contain way more than you need. BoltDB is a good project to read the source of https://github.com/boltdb/bolt, the whole thing is <10k lines of code and is a full blown production grade system with ACID semantics so packs a lot in those 10k and isn't just merely a toy.
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GitHub examples of Go that's written really well?
Bolt db and Bolt db's author post to go with it.
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Open Source Databases in Go
https://github.com/boltdb/bolt is a ACID B+ tree key-value store
- A Database for 2022
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Single Dependency Stacks
For a single server, SQLite, or boltdb[0]
I've never had to scale horizontally. I develop in Go and you can get very far along with just vertical scaling (aka beefier hardware).
Therefore I can't give concrete examples of a distributed db-as-a-library.
But all that you need is to extend the functions that fetch data to not just fetch from disk but from "peers" as well. For this to work you need servers (instances) to know about each other, and as you add more they also get added to their peers - sort of like a bittorrent network. I don't think it's difficult to do.
SQLite might not be suited for being distributed (although RQlite[1] claims to have done it).
Making a distributed data storage based on boltdb[0] is probably more feasible.
Whatever the case, there's no reason why a data storage engine can't be a library, even if it's distributed.
[0]: https://github.com/boltdb/bolt
[1]: https://github.com/rqlite/rqlite
- How can I batch events in second intervals?
- Give examples of really cool software made by a single developer?
lila
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How to make a Lichess bot in Python
Once you’re finished, we’re going to set up a lichess bot account. Head over to https://lichess.org/ and create a new account.
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Lessons from Open-Source Game Projects
Lichess - Online Chess Server. Scala, TypeScript
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Avoid blundering: 80% of a winning strategy
> the player who committed more blunders lost 86% of the time
In some sense this is almost tautological. While finding an exact definition for a chess blunder isn't straightforward, here is one example from the Lichess UI:
https://github.com/lichess-org/lila/blob/b527746b179cdde6438...
Basically, if you make a move which decreases your winning probability more than 14% over the best move, that's a blunder. But winning probability is a nonlinear function of stockfish centipawns. A drop in 100 centipawns when you're up 15 points isn't a blunder. When the game was equal, it is.
Point is, by the time you know it's a blunder you already know something about the outcome of that move, that it swung the winning probability by more than 14%. So the analysis is kind of just measuring some function of winning probability and saying that it is highly correlated with winning probability.
- How I hacked chess.com with a rookie exploit
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So bad at chess that it’s genuinely upsetting at this point, I need some hope
If you want to improve make it your goal to play the best chess you can, not increase an arbitrary number. Watch YouTube series like John Bartholomew's "Climb the Rating Ladder" for some general insight into what you might be doing wrong. Read Irving Chernev's "Logical Chess: Move By Move" to see the thinking process of high level players. Do lots of puzzles (I like lichess.org for puzzles). And always analyze your games. When you analyze make it your goal to find at least two things you could have improved.
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Humans vs. Stockfish’s eval function
The easiest way to play against Stockfish is perhaps on https://lichess.org/, but it's not the only chess engine that evaluates positions with a neural network.
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Venruki’s take on the current issues with PvP
Lichess.com
- Death wants to take you, but you can challenge it to a game (virtual or not) to stay. what do you play?
- Ask HN: What fuel for my data furnace?
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The DGPT season opener will be sponsored by chess.com!
if you actually like chess, try lichess.org, the free and open-source, no ads ever, premium alternative
What are some alternatives?
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
listudy - Listudy - chess training server
badger - Fast key-value DB in Go.
Anki-Chess-2.0 - An interactive chess template for anki.
bbolt - An embedded key/value database for Go.
Mindustry - The automation tower defense RTS
goleveldb - LevelDB key/value database in Go.
katrain - Improve your Baduk skills by training with KataGo!
go-memdb - Golang in-memory database built on immutable radix trees
monkeytype - The most customizable typing website with a minimalistic design and a ton of features. Test yourself in various modes, track your progress and improve your speed.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.