hash-db
electric_dart
hash-db | electric_dart | |
---|---|---|
5 | 2 | |
50 | 81 | |
- | - | |
0.0 | 9.7 | |
over 1 year ago | 1 day ago | |
Python | Dart | |
- | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hash-db
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CRDT-richtext: Rust implementation of Peritext and Fugue
https://github.com/samsquire/hash-db
I need to combine the ideas in each of these projects into a cohesive solution.
I did some work on trying to implement the YATA algorithm, poorly.
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Ask HN: How do you test SQL?
From an SQL database implementation perspective, in my toy Python barebones SQL database that barely supports inner joins (https://github.com/samsquire/hash-db) I tested by testing on postgresql and seeing if my query with two joins produces the same results.
I ought to produce unit tests that prove that tuples from each join operation produces the correct dataset.
For a user perspective, I guess you could write some tooling that loads example data into a database and does an incremental join with each part of the join statement added.
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Bullshit Graph Database Performance Benchmarks
I wrote a toy dynamodb, SQL, Cypher graph and document storage database engine in Python for the learning.
https://github.com/samsquire/hash-db
- Experimental distributed keyvalue database (it uses python dictionaries) imitating dynamodb querying with join only SQL support, distributed joins and simple Cypher graph support
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How necessary are the programming fundamentals?
I am interested in database internals. Btrees come up with regard to designing database systems that are efficient to query on disk. Postgres uses them for its indexes. Radix trees are memory efficient tries which are useful for answering prefix queries. They're also called prefix trees. I use them to get a list of prefixes of a string. Useful for simple intellisense style forms or dynamodb style querying. I've also been studying LSM trees which are used in Leveldb and RocksDB.
I experiment with database technology in my experimental project hash-db https://github.com/samsquire/hash-db The code should be readable.
I need to change my search tree to be self balancing currently it grows to the left or right without balancing. I think I need to use tree rotation depending on which branch has the highest height.
electric_dart
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Show HN: ElectricSQL, Postgres to SQLite active-active sync for local-first apps
Hey, yup it's definitely a medium term objective.
The team at SkillDevs are maintaining a Daft/Flutter client at https://github.com/SkillDevs/electric_dart
Plus we have a thread to extract the core client-side replication component to Rust to be able to compile for multiple targets.
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CRDT-richtext: Rust implementation of Peritext and Fugue
We (ElectricSQL) have some work underway on a Rust/WASM port of our core client component, that’s designed to open up more language support.
This is a community contributed Dart/Flutter client https://github.com/SkillDevs/electric_dart that may also be a useful reference.
What are some alternatives?
electric - Local-first sync layer for web and mobile apps. Build reactive, realtime, local-first apps directly on Postgres.
fugue-bench - Fugue list CRDT implementations and benchmarks
kuzu - Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.
vaxine - Rich-CRDT database based on AntidoteDB.
ustore - Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
eventually-consistent-mesh - an attempt to create an asynchronously replicated append only eventually consistent data protocol
pg_crdt - POC CRDT support in Postgres
crdt-benchmarks - Real world text editing traces for benchmarking CRDT and Rope data structures [Moved to: https://github.com/josephg/editing-traces]
data-diff - Compare tables within or across databases