paradedb
cornucopia
paradedb | cornucopia | |
---|---|---|
16 | 20 | |
3,962 | 709 | |
11.0% | 10.8% | |
9.8 | 4.2 | |
3 days ago | 16 days ago | |
Rust | Rust | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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paradedb
- Using ClickHouse to scale an events engine
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Code Search Is Hard
Elasticsearch is good, and it does scale, but it is much more cumbersome and expensive to scale and operate than Postgres. If you use the managed service, you'll pay for the operational pain in the form of higher pricing.
The Postgres movement is strong and extensions like ParadeDB https://github.com/paradedb/paradedb are designed specifically to solve this pain point (Disclaimer: I work for ParadeDB)
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Ask HN: Best way to mirror a Postgres database to parquet?
No timeline yet, but we know it's a high-priority feature and are working hard on it. Best way would be to join our Slack (link here: https://github.com/paradedb/paradedb/blob/dev/README.md) to follow along. It will be in the coming weeks/months, though.
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Transforming Postgres into a Fast OLAP Database
You're right. We're working on this currently. You can track the issue here: https://github.com/paradedb/paradedb/issues/717
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We built our customer data warehouse all on Postgres
There are definitely ways to cleanly make Postgres scale for analytics. We didn't discuss in this blog, but we will be writing about them in the future. For example, check out what the folks at ParadeDB are doing. https://github.com/paradedb/paradedb. Neon is doing an awesome job separating compute from storage. Supabase contributed foreign data wrappers make it super easy to read from S3 into Postgres. Lots of great work going out there :)
- Show HN: Pg_analytics – Speed Up Postgres Analytical Queries by 94x
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Multi-Database Support in DuckDB
Check out https://github.com/paradedb/paradedb/tree/dev/pg_analytics, we're shipping this week
- ParadeDB – PostgreSQL for Search
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Postgresql index
Shameless plug, but I'm one of the makers of `pg_bm25` (https://github.com/paradedb/paradedb). We're making a faster tsvector/tsrank as a Postgres extension. Maybe it can help, our benchmarks show much faster performance especially as row count increases
- Building an open source vector database. Looking for advice.
cornucopia
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We built our customer data warehouse all on Postgres
There are multiple queries each separated by ; and on top of each query, there's a comment giving a name to the query (it's more like a header)
I think the only thing that would require specific support in postgres_lsp is using the :parameter_name syntax for prepared statements [1] (in vanilla Postgres would be something like $1 or $2, but in Cornucopia it is named to aid readability). But, if postgres_lsp is forgiging enough to not choke on that, then it seems completely fit for this use case.
[0] https://github.com/cornucopia-rs/cornucopia
[1] https://cornucopia-rs.netlify.app/book/writing_queries/writi...
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Is ORM still an anti-pattern?
Some examples for anyone else reading:
https://github.com/kyleconroy/sqlc
https://github.com/cornucopia-rs/cornucopia
This is my preferred method of interacting with databases now.
Very flexible.
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What ORM do you use?
I like Cornucopia. It’s a SQL-first approach, so I don’t have to worry about an ORM generating pathological queries. It’s also basically zero cost compared to directly using rust-postgres and supports both sync and async. I also like that my SQL queries end up separate from my Rust code, so it’s easy to update all the relevant queries when the schema changes.
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What is the recommended way to implement session authorization?
Also, I moved away from SQLx due to slow compile times and now use https://github.com/cornucopia-rs/cornucopia
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Oops, You Wrote a Database
While we're on the subject of ORM's I really like the https://github.com/cornucopia-rs/cornucopia way of doing things.
Basically write SQL in a file and code generate a function that runs the SQL for you and puts it into a struct (this one is for rust)
I think there's a library to do the same thing with typescript.
For me, the best way to talk to the database is with SQL and I don't have to learn an ORMs way of doing it.
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Thoughts about switching from sqlx to tokio_postgres?
You can take a look at https://github.com/cornucopia-rs/cornucopia which is a thin codegen layer on top of tokio-postgres for ease of use.
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Ormlite: An ORM in Rust for developers that love SQL
I think we have that https://github.com/cornucopia-rs/cornucopia
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Ask HN: ORM or Native SQL?
The best solution I've ever seen is this Rust library https://github.com/cornucopia-rs/cornucopia
You write plain SQL for you schema (just a schema.sql is enough) and plain SQL functions for your queries. Then it generates Rust types and Rust functions from from that. If you don't use Rust, maybe there's a library like that for your favorite language.
Optionally, pair it with https://github.com/bikeshedder/tusker or https://github.com/blainehansen/postgres_migrator (both are based off https://github.com/djrobstep/migra) to generate migrations by diffing your schema.sql files, and https://github.com/rust-db/refinery to perform those migrations.
Now, if you have simple crud needs, you should probably use https://postgrest.org/en/stable/ and not an ORM. There are packages like https://www.npmjs.com/package/@supabase/postgrest-js (for JS / typescript) and probably for other languages too.
If you insist on an ORM, the best of the bunch is prisma https://www.prisma.io/ - outside of the typescript/javascript ecosystem it has ports for some other languages (with varying degrees of completion), the one I know about is the Rust one https://prisma.brendonovich.dev/introduction
- Anything like sqlc for Rust?
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What features would you consider missing/nice to haves for backend web development in Rust?
Does Cornucopia satisfy this requirement?
What are some alternatives?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
metrics
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
rbatis - Rust Compile Time ORM robustness,async, pure Rust Dynamic SQL
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
diesel_async - Diesel async connection implementation
bionicgpt - BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality [Moved to: https://github.com/bionic-gpt/bionic-gpt]
bb8 - Full-featured async (tokio-based) postgres connection pool (like r2d2)
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
typed-session-axum - Typed-session as axum middleware