tree-flat
asami
tree-flat | asami | |
---|---|---|
2 | 6 | |
25 | 626 | |
- | 0.0% | |
1.9 | 0.0 | |
about 1 year ago | about 2 years ago | |
Rust | Clojure | |
Apache License 2.0 | Eclipse Public License 1.0 |
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tree-flat
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Ask HN: What are some 'cool' but obscure data structures you know about?
I made https://github.com/mamcx/tree-flat as flattened stored tree in pre-order that allows for very fast iterations even for childs/parent queries. Is based on APL, so not that novel.
I also like a lot the relational model, is not that much represented so I making a language on top of it: https://tablam.org.
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What’s everyone working on this week (9/2022)?
Working in the flattest tree library for Rust (https://github.com/mamcx/tree-flat), inspired by the talk “High-performance Tree Wrangling, the APL Way” by Aaron Hsu.
asami
- Ask HN: What are some 'cool' but obscure data structures you know about?
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Ask HN: Why are relational DBs are the standard instead of graph-based DBs?
Unlike some other commenters, I agree that graph models are usually a better fit for most data than relational models. There's been some interesting work in recent years developing this idea: in the Clojure world there's Datomic, XTDB, and a host of competitors, all of which build on work from Semantic Web/SPARQL/triplestores and logic programming. Some are even intended to be used as primary datastores: they support some amount of schema and constraints, have well-defined consistency and ACID guarantees, etc. This makes them unlike graph databases like Neo4J and others, which fill an architectural role more like Elasticsearch as a read-optimization tool. Here's an interesting talk making a case for triple-based databases.
- Introduction to the Asami Graph Database
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How to query Datomic, Datascript, Asami, or other graph databases
Despite the documentation that exists, I've heard many people who have been confused about how to query Datomic, Datascript, Asami, or other graph databases. So I've made an attempt at explaining it https://github.com/threatgrid/asami/wiki/Introduction
- Introduction (To Graph Databases)
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Asami
The first Graph implementation for Asami was a simple in-memory data structure, described in my ClojureD talk. The code for this appears in asami.index. This file started much smaller (as referenced above), but has since expanded with the needs extended functionality, such as transactions, and transitive closure operations.
What are some alternatives?
multiversion-concurrency-control - Implementation of multiversion concurrency control, Raft, Left Right concurrency Hashmaps and a multi consumer multi producer Ringbuffer, concurrent and parallel load-balanced loops, parallel actors implementation in Main.java, Actor2.java and a parallel interpreter
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
atomic-server - An open source headless CMS / real-time database. Powerful table editor, full-text search, and SDKs for JS / React / Svelte.
crux - General purpose bitemporal database for SQL, Datalog & graph queries. Backed by @juxt [Moved to: https://github.com/xtdb/xtdb]
indicatif - A command line progress reporting library for Rust
datahike - A durable Datalog implementation adaptable for distribution.
conserve - 🌲 Robust file backup tool in Rust
datalevin - A simple, fast and versatile Datalog database
TablaM - The practical relational programing language for data-oriented applications
Apache AGE - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. [Moved to: https://github.com/apache/age]
entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more
naga - Datalog based rules engine