doltgresql
usql
doltgresql | usql | |
---|---|---|
5 | 22 | |
948 | 8,654 | |
12.0% | 1.1% | |
9.7 | 9.2 | |
about 18 hours ago | 5 days ago | |
Go | Go | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
doltgresql
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A MySQL compatible database engine written in pure Go
PostgreSQL support here
https://github.com/dolthub/doltgresql
Background and architecture discussion here
https://dolthub.com/blog/2023-11-01-announcing-doltgresql/
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Postgres is eating the database world
We're writing a postgres-compatible database that doesn't use any postgres code:
https://github.com/dolthub/doltgresql/
We're doing this because our main product (Dolt) is MySQL-compatible, but a lot of people prefer postgres. Like, they really strongly prefer postgres. When figuring out how to support them, we basically had three options:
1) Foreign data wrapper. This doesn't work well because you can't use non-native stored procedure calls, which are used heavily throughout our product (e.g. CALL DOLT_COMMIT('-m', 'changes'), CALL DOLT_BRANCH('newBranch')). We would have had to invent a new UX surface area for the product just to support Postgres.
2) Fork postgres, write our own storage layer and parser extensions, etc. Definitely doable, but it would mean porting our existing Go codebase to C, and not being able to share code with Dolt as development continues. Or else rewriting Dolt in C, throwing out the last 5 years of work. Or doing something very complicated and difficult to use a golang library from C code.
3) Emulation. Keep Dolt's Go codebase and query engine and build a Postgres layer on top of it to support the syntax, wire protocol, types, functions, etc.
Ultimately we went with the emulation approach as the least bad option, but it's an uphill climb to get to enough postgres support to be worth using. Our main effort right now is getting all of postgres's types working.
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Show HN: Dera – A platform to manage chunks and embeddings for building RAG apps
Very cool. I wonder when it makes sense to engineer things at this level vs using something like Azure AI search. [0]
Love to see version control on all the things! Wonder if the version control features would be more robust if implemented in Doltgres.
[0] https://azure.microsoft.com/en-us/products/ai-services/ai-se...
[1] https://github.com/dolthub/doltgresql
- Show HN: DoltgreSQL – Version-Controlled Database, Like Git and PostgreSQL
usql
- xo/usql: Universal command-line interface for SQL databases
- Usql – Universal command-line interface for SQL databases
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PRQL a simple, powerful, pipelined SQL replacement
Also all languages has an query-builder / ORM so the benefit of something like PRQL is possibly not big enough to merit it as an additional dependency.
My suggestion:
Make PRQL a cli tool that can be used by allowing users to connect to a database in a similar fashion as something like usql (https://github.com/xo/usql),
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Is there a CLI interface to browse SQL databases?
take a look at: https://github.com/xo/usql
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New Open source Go projects looking for contributors
https://github.com/xo/usql has some good first issues
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usql 0.11.0
There's a new release of usql that adds even more autocomplete and fixes a bunch of issues: https://github.com/xo/usql/releases/tag/v0.11.0
- 5 Useful Database Command Line Tools
- usql
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Literate programming is much more than just commenting code
I am not a big fan of the complex literate programming style involving code-generation which this article talks about.
But I recently discovered that Google's zx [1] scripting utility supports executing scripts in markdown documents and I combined it with httpie [2] and usql [3] for a bit of quick and dirty automation testing and api verification code and it worked out pretty well.
[1] https://github.com/google/zx#markdown-scripts
[2] https://github.com/httpie/httpie
[3] https://github.com/xo/usql
- usql v0.9.4
What are some alternatives?
pREST - PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new
go-sitemap-generator - go-sitemap-generator is the easiest way to generate Sitemaps in Go
SQLBoiler - Generate a Go ORM tailored to your database schema.
hystrix-go - Netflix's Hystrix latency and fault tolerance library, for Go
dolt - Dolt – Git for Data
boilr - :zap: boilerplate template manager that generates files or directories from template repositories
goose - A database migration tool. Supports SQL migrations and Go functions.
Task - A task runner / simpler Make alternative written in Go
FerretDB - A truly Open Source MongoDB alternative
ngrok - Unified ingress for developers
bytebase - The GitHub/GitLab for database DevOps. World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams.
fzf - :cherry_blossom: A command-line fuzzy finder