pg_jsonschema
cue
pg_jsonschema | cue | |
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15 | 109 | |
929 | 4,765 | |
1.6% | 1.2% | |
6.6 | 9.8 | |
19 days ago | about 14 hours ago | |
Rust | Go | |
Apache License 2.0 | Apache License 2.0 |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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pg_jsonschema
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Introducing pgzx: create PostgreSQL extensions using Zig
And lots of interesting extensions use it, like
https://github.com/tembo-io/pgmq
https://github.com/zombodb/zombodb
https://github.com/supabase/pg_jsonschema
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Beyond SQL: A relational database for modern applications
> In other words, there is still a (lossy) translation layer, it just happens to be in the RDBMS rather than in-app.
It's not lossy if your application can guarantee a json <-> datatype roundtrip and the json is validated with jsonschema (generated by your application)
In Rust it's something like this
https://serde.rs/ to do the data type <-> json mapping
https://docs.rs/schemars/latest/schemars/ to generate jsonschema from your types
https://github.com/supabase/pg_jsonschema to validate jsonschema in your database (postgres). with this setup it's interesting (but not required) to also use https://docs.rs/jsonschema/latest/jsonschema/ to validate the schema in your application
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FerretDB, a truly open-source MongoDB alternative
Pretty exciting!
What about optionally validating some columns with jsonschema? Perhaps using https://github.com/supabase/pg_jsonschema - is using other postgres extensions supported in FerretDB? (if not, maybe it's feasible to incorporate the code of pg_jsonschema in FerretDB?)
- Type Constraints in 65 lines of SQL
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Ask HN: Do you use JSON Schema? Help us shape its future stability guarantees
I'm not currently using it, but I'm strongly considering validating json in postgres with https://github.com/supabase/pg_jsonschema - which uses the https://docs.rs/jsonschema/latest/jsonschema/ Rust crate
So I'm not sure if my feedback is valid but, I sure hope that the jsonschema crate follows the spec! Otherwise I'll never use jsonschema but instead something-not-exactly-jsonschema. In other words.. you better not break anything.
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Features I'd Like in PostgreSQL
Sounds dumb, but I want JSON field schema validation. I added a JSON column for flexible data, and although I'm happy with its flexibility, I kinda hope I can validate the JSON data structure. Recently I just found an extension [1] and will try soon.
[1] https://github.com/supabase/pg_jsonschema
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Dynamic JSON schema validation, how can I do that in Postgres?
https://github.com/supabase/pg_jsonschema is new and looks good
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Supabase Beta July 2022
Born as an excuse to play with pgx, pg_jsonschema is a solution we're exploring to allow enforcing more structure on json and jsonb typed postgres columns. Only 10 lines of code 😎
- GitHub - supabase/pg_jsonschema: PostgreSQL extension providing JSON Schema validation
- Show HN: Pg_jsonschema – A Postgres extension for JSON validation
cue
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TypeSpec: A New Language for API-Centric Development
If you are in a situation where you have a backend and you want to expose an API and then you would eventually want a client, you would need format specs as the starting point where server and clients are generated from that one source.
At the moment, OpenAPI with YAML is the only way to go but you can't easily split the spec into separate files as you would do any program with packages, modules and what not.
There are third party tools[0] which are archived and the libraries they depend upon are up for adoption.
In that space, either you can use something like cue language 1] or something like TypeSpec which is purpose built for this so yet, this seems like a great tool although I have not tried it yet myself.
[0]. https://github.com/APIDevTools/swagger-cli
[1]. https://cuelang.org/
EDIT: formating
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Show HN: Workout Tracker – self-hosted, single binary web application
Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.
[1] https://www.talos.dev/
[2] https://cuelang.org/
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Apple releases Pkl – onfiguration as code language
I've been somewhat surprised that CUE bills itself as "tooling friendly" and doesn't yet have a language server- the number one bit of tooling most devs use for a particular language.
I'm assuming it's becaus CUE is still unstable?
Anyway, if others are interested in CUE's LSP work, I think https://github.com/cue-lang/cue/issues/142 is the issue to subscribe to
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Why the fuck are we templating YAML? (2019)
This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/
- Not turing complete
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10 Ways for Kubernetes Declarative Configuration Management
CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.
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Lua is a viable alternative for JSON
If you really want executable configurations please consider a newer language like https://dascript.org or https://cuelang.org which provide better type safety.
1- https://news.ycombinator.com/item?id=38030778
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Writerside – a new technical writing environment from JetBrains
Markdown and XML are nice, but what about more advanced documentation formats like OpenAPI? For one recent project, I set up automatic generation of the OpenAPI docs from (much more compact and flexible) CUE definitions (https://cuelang.org/) - which has the bonus of also being able to test the API against the definitions. JetBrains has a CUE plugin, but it's really barebones (doesn't even support jumping from the usage of a schema to its definition). Of course the possibilities when generating docs are endless (just think of the various syntaxes for doc comments, embedding examples/tests in source code etc.)...
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Show HN: Config-file-validator – CLI tool to validate all your config files
It doesn't include validators for TOML and INI, but if you're doing JSON and YAML, I would take a look at using or building upon CUE (https://cuelang.org/). It is a different take on schema definition (plus more), and is surprising terse and powerful model.
- That's a Lot of YAML
- An INI Critique of TOML
What are some alternatives?
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.
dhall-lang - Maintainable configuration files
postgres-json-schema - JSON Schema validation for PostgreSQL
jsonnet - Jsonnet - The data templating language
pgx - Build Postgres Extensions with Rust! [Moved to: https://github.com/tcdi/pgrx]
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
is_jsonb_valid - Native PostgreSQL extension to validate jsonb
starlark-rust - A Rust implementation of the Starlark language
pg_ivm - IVM (Incremental View Maintenance) implementation as a PostgreSQL extension
Protobuf - Protocol Buffers - Google's data interchange format
auth - A JWT based API for managing users and issuing JWT tokens
jsonnet-libs - Grafana Labs' Jsonnet libraries