Multiplexer
asami
Multiplexer | asami | |
---|---|---|
1 | 6 | |
0 | 626 | |
- | 0.0% | |
4.3 | 0.0 | |
11 days ago | about 2 years ago | |
Swift | Clojure | |
- | Eclipse Public License 1.0 |
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Multiplexer
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Ask HN: What are some 'cool' but obscure data structures you know about?
I wrote a Swift client library for doing exactly that, though I called the trick "multiplexing" for lack of a better term. The library uses callbacks, no promises/futures (yet). It also provides caching of the results with TTL. Shameless self-promo [1]
[1] https://github.com/crontab/Multiplexer
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?
clojure - The Clojure programming language
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
t-digest - A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means
crux - General purpose bitemporal database for SQL, Datalog & graph queries. Backed by @juxt [Moved to: https://github.com/xtdb/xtdb]
datahike - A durable Datalog implementation adaptable for distribution.
datalevin - A simple, fast and versatile Datalog database
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]
naga - Datalog based rules engine
grakn - TypeDB: the polymorphic database powered by types
tries-T9-Prediction - Its artificial intelligence algorithm of T9 mobile
Neo4j - Graphs for Everyone
pvfmm - A parallel kernel-independent FMM library for particle and volume potentials