prisma-engines
gopy
prisma-engines | gopy | |
---|---|---|
10 | 5 | |
1,099 | 1,863 | |
1.9% | 1.1% | |
9.7 | 6.7 | |
3 days ago | 9 days ago | |
Rust | Go | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
prisma-engines
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We migrated to SQL. Our biggest learning? Don't use Prisma
This is a very strange comment section. And this article is insanely poorly written.
> Last week, we completed a migration that switched our underlying database from MongoDB to Postgres.
Okay cool, but why? MongoDB is a very capable and fast database.
> It was a shock finding out that Prisma needs almost a “db” engine layer of its own. Read more about it here: https://www.prisma.io/docs/concepts/components/prisma-engine...
If you did any research on Prisma rather than diving in head-first, you'd realize this is a core part of why Prisma exists.
> we discovered that at a low level, Prisma was fetching data from both tables and then combining the result in its “Rust” engine. This was a path for an absolute trash performance.
Can you confirm this is actually the case? Can you show some benchmarks re: this claim? Or are you just assuming this is the case?
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Prisma laying off 28% staff
If you wish to auto-generate migrations, there are declarative schema change tools available for most relational databases. I'm the creator of Skeema [1] which provides them for MySQL, but there are options for other DBs too [2][3][4].
Prisma's migration system actually partially copied Skeema's design, while giving credit in a rather odd fashion which really rubbed me the wrong way: "The workflow of working with temporary databases and introspecting it to determine differences between schemas seems to be pretty common, this is for example what skeema does." [5]
While I doubt I was the first person to ever use that technique, I absolutely didn't copy it from anywhere, and it was never "pretty common". I'm not aware of any other older schema change systems that work this way.
[1] https://www.skeema.io
[2] https://github.com/djrobstep/migra
[3] https://github.com/k0kubun/sqldef
[4] https://david.rothlis.net/declarative-schema-migration-for-s...
[5] https://github.com/prisma/prisma-engines/blob/6be410e/migrat...
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Maintenance of popular ORMs (explanation inside)
If you're serious about your review then you shouldn't ignore the fact that Prisma has a big blob of Rust code at its core, where other ORMs use standard database adapters from NPM. As someone who has maintained database adapters for other languages, let me tell you that the maintenance burden of that is quite significant. Especially if they ever want to support more advanced database features. If the company behind Prisma ever runs out of money, the project is probably toast.
- Show HN: WunderBase – Serverless OSS Database on Top of SQLite, Firecracker
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If Prisma's query engine is compiled by Rust, why don't I need Rust to compile it?
prisma generate generates the code for the Prisma client. The code generated for the client is all JavaScript which calls into the “Prisma Engine” Rust native Node module to perform database operations. As others here have said, the Prisma Engine is pre-compiled by rustc via CI and gets dowloaded to your machine as a pre-built binary by npm, so there’s no need for you to build it yourself by running the Rust compiler locally.
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Alternatives to SQLAlchemy for your project - Prisma case
Note: you may notice that it downloads some binaries when you first invoke this command. This is normal it fetches the node prisma cli and engines used by prisma. 😁
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I went about learning Rust
We solved this with flat vectors and just sharing index values in cheap walker objects. It is much nicer to work with compared to arc/weak pointers.
Code here: https://github.com/prisma/prisma-engines/tree/main/libs%2Fda...
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Show HN: Prisma Python – A fully typed ORM for Python
Because Prisma Python currently interfaces with the Rust engine over HTTP (I am looking into changing this) and the Rust engines can be found here:
https://github.com/prisma/prisma-engines
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MariaDB to go public at $672M valuation
Thanks! I know of a couple Postgres tools that work in a declarative fashion: migra [1] and sqldef [2].
Migra is Postgres-specific. Its model is similar to Skeema's, in that the desired-state CREATEs are run in a temporary location and then introspected, to build an in-memory understanding of the desired state which can be diff'ed against the current actual state. (This approach was also borrowed by Prisma Migrate [3]). In this manner, the tool doesn't need a SQL parser, instead relying on the real DBMS to guarantee the CREATE is interpreted correctly with your exact DBMS version/flavor/settings.
In contrast, sqldef supports multiple databases, including Postgres and MySQL (among others). Unlike other tools, it uses a SQL parser-based approach to build its in-memory understanding of the desired state. As a DB professional, personally this approach scares me a bit, given the amount of nonstandard stuff in each DBMS's SQL dialect. But I'm inherently biased on this topic. And I will note sqldef's author is a core Ruby committer and JIT author, and is extremely skilled at parsers.
[1] https://databaseci.com/docs/migra
[2] https://github.com/k0kubun/sqldef
[3] https://github.com/prisma/prisma-engines/blob/main/migration...
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Prisma 2 - When Can I Use it Alone and When Should I add Graphql
Prisma 2 is a program, written in Rust that exposes a GraphQL API on top of your database of choice. Here's a link to the "engine": https://github.com/prisma/prisma-engines
gopy
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Making Python 100x faster with less than 100 lines of Rust
I've used gopy[0] recently to access a go library in Python. It surprisingly Just Worked, but I was disappointed by some performance issues, like converting lists to slices.
[0] https://github.com/go-python/gopy
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Golang vs python for AI
the heavy lifting is done in native libraries and you get to experiment fast using an easy language. the combo is quite hard to beat. Now there is a missed opportunity to write such libraries in Go, but as I read here and there Go is hard to integrate well as a library. There is gopy but it's light years away from PyO3 for instance, I don't think it'll ever gain traction, but who knows.
- Is the statement true, that Python and its ecosystem lacks speed for mission-critical large-scale applications?
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I went about learning Rust
> So if you learn Go, you'll never be able to use it to interoperate with e.g. your Python program to speed it up.
Never done it myself, but:
https://www.ardanlabs.com/blog/2020/07/extending-python-with...
https://github.com/go-python/gopy
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Rust or C/C++ to learn as a secondary language?
Check out gopy for an easy way to extend your Python code with Go.
What are some alternatives?
litefs - FUSE-based file system for replicating SQLite databases across a cluster of machines
PySCIPOpt - Python interface for the SCIP Optimization Suite
migra - Like diff but for PostgreSQL schemas
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
sqldef - Idempotent schema management for MySQL, PostgreSQL, and more
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
prisma-client-rust - Type-safe database access for Rust
cpy3 - Go bindings to the CPython-3 API
pocketbase - Open Source realtime backend in 1 file
PythonCall.jl - Python and Julia in harmony.
sqlite-s3vfs - Python writable virtual filesystem for SQLite on S3
NodeCall.jl - Call NodeJS from Julia.