sdsl-lite
asami
sdsl-lite | asami | |
---|---|---|
5 | 6 | |
2,174 | 626 | |
- | 0.0% | |
0.0 | 0.0 | |
11 months ago | about 2 years ago | |
C++ | Clojure | |
GNU General Public License v3.0 or later | Eclipse Public License 1.0 |
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sdsl-lite
- SDSL – Succinct Data Structure Library
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Ask HN: What are some 'cool' but obscure data structures you know about?
Succinct Data Structures [0] [1]. It encompass many different underlying data structure types but the overarching idea is that you want small data size while still keeping "big O" run time.
In other words, data structures that effectively reach a 'practical' entropy lower bound while still keeping asymptotic run time.
[0] https://en.wikipedia.org/wiki/Succinct_data_structure
[1] https://github.com/simongog/sdsl-lite
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SDSL-RS: A Rust interface for the C++ Succinct Data Structure Library.
The book mentioned in another comment is probably the best way to go. But FYI, documentation for some data structures include references. An SDSL-lite example can be found here. And its equivalent in SDSL-RS can be found here.
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?
plurid-data-structures-typescript - Utility Data Structures Implemented in TypeScript
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
sdsl-lite - Succinct Data Structure Library 3.0
crux - General purpose bitemporal database for SQL, Datalog & graph queries. Backed by @juxt [Moved to: https://github.com/xtdb/xtdb]
minisketch - Minisketch: an optimized library for BCH-based set reconciliation
datahike - A durable Datalog implementation adaptable for distribution.
dictomaton - Finite state dictionaries in Java
datalevin - A simple, fast and versatile Datalog database
gring - Golang circular linked list with array backend
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]
pyroscope - Continuous Profiling Platform. Debug performance issues down to a single line of code [Moved to: https://github.com/grafana/pyroscope]
naga - Datalog based rules engine