| rel8 | fquery | |
|---|---|---|
| 5 | 5 | |
| 158 | 15 | |
| 0.6% | - | |
| 6.2 | 8.3 | |
| 15 days ago | about 2 months ago | |
| Haskell | Python | |
| GNU General Public License v3.0 or later | MIT License |
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rel8
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Choosing the right abstraction level for SQLite library.
I also mention https://github.com/circuithub/rel8 on posts like these since I think it should be more well-known.
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What's your favorite Database EDSL/library in Haskell?
I'm sensing a trend here, but .... https://rel8.readthedocs.io/ because I wrote it ':D
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[ANN] Generic-Persistence 0.3.0 released
Does this work with https://github.com/circuithub/rel8?
- Against SQL
- [video] Ollie Charles: Rel8, a new database access library for Haskell
fquery
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Solving the double (quintuple) declaration Problem in GraphQL Applications
Similar benefits without codegen (based on decorator magic) for a python based stack:
https://github.com/adsharma/fquery
* Use dataclasses for both database schema and the user facing operations
- Cut Out the Middle Tier: Generating JSON Directly from Postgres
- Against SQL
- Django for Startup Founders: A better software architecture for SaaS startups
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SwiftGraphQL – A GraphQL client that lets you forget about GraphQL
Re: Conways law at Facebook
I was at Facebook when GraphQL was invented, maintaining a backend storage service where a core assumption was that storage should be reorganized based on access patterns and that predicates should be pushed down to storage where they can be executed more efficiently.
GraphQL was hard to push predicates down, because you don't know which of the edges were written in PHP.
My response was fquery[1], which is like what's being discussed here but with python as the source language instead of swift and amenable to preserving the largest possible query structure for backend optimizers, including SQL optimizers.
It has some early demos converting a GraphQL/fquery into SQL where possible. It should be possible to add enough metadata to fquery to identify if an edge is non-trivial (calls into another microservice) or trivial (can be optimized to a storage backend or SQL).
[1] https://github.com/adsharma/fquery
What are some alternatives?
cimple - Cimple and Apidsl language parsers and tools
DjangoChannelsGraphqlWs - Django Channels based WebSocket GraphQL server with Graphene-like subscriptions
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
jrutil
Preql - An interpreted relational query language that compiles to SQL.