Npgsql.FSharp.Analyzer
assert-combinators
Npgsql.FSharp.Analyzer | assert-combinators | |
---|---|---|
3 | 5 | |
137 | 23 | |
- | - | |
0.0 | 5.7 | |
over 2 years ago | 3 months ago | |
C# | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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Npgsql.FSharp.Analyzer
assert-combinators
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Kysely: TypeScript SQL Query Builder
We use in prod variant of no 1. [0]. Why? Because:
* it's extremely lightweight (built on pure, functional combinators)
* it allows us to use more complex patterns ie. convention where every json field ends with Json which is automatically parsed; which, unlike datatype alone, allows us to create composable query to fetch arbitrarily nested graphs and promoting single [$] key ie. to return list of emails as `string[]` not `{ email: string }[]` with `select email as [$] from Users` etc.
* has convenience combinators for things like constructing where clauses from monodb like queries
* all usual queries like CRUD, exists etc. and some more complex ie. insertIgnore, merge1n etc has convenient api
We resort to runtime type assertions [1] which works well for this and all other i/o; runtime type assertions are necessary for cases when your running service is incorrectly attached to old or future remote schema (there are other protections against it but still happens).
[0] https://github.com/appliedblockchain/tsql
[1] https://github.com/appliedblockchain/assert-combinators
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GraphJin – An Instant GraphQL to SQL Compiler
We use not so much frameworks but combination of lightweight libraries:
- runtime assertions [0] - to map unknown values at i/o boundary into statically typed code (rpc input parameters, sql results etc)
- template based sql combinators to sanitize sql/generate sql [1]
- jsonrpc over websockets - for bidirectional comms between f/e and b/e
[0] https://github.com/appliedblockchain/assert-combinators
[1] https://github.com/appliedblockchain/tsql
- Parser Combinators in Haskell
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An Inconsistent Truth: Next.js and Typesafety
Types can be asserted at runtime (parsed) at IO boundaries (reading http request or response, websocket message, parsing json file etc). Once they enter statically type system they don't need to be asserted again.
The difference it makes is illusion of type-safety vs type-safety this article touches on.
You can try to bind service with client somehow but in many cases this will fail in production as you can't guarantee paired versioning, due to normal situations by design of your architecture or temporary mid-deployment state or other team doing something they were not suppose to do etc. It's hard to avoid runtime parsing in general.
Functional combinators [0] or faster [1] with predicate/assert semantics work very well with typescript, which is very pleasant language to work with.
[0] https://github.com/appliedblockchain/assert-combinators
[1] https://github.com/preludejs/refute
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Parsix: Parse Don't Validate
Once i/o boundaries are parsing unknown types into static types, your type safety is guaranteed.
[0] https://github.com/appliedblockchain/assert-combinators
What are some alternatives?
Dapper.FSharp - Lightweight F# extension for StackOverflow Dapper with support for MSSQL, MySQL, PostgreSQL, and SQLite
httpaf - A high performance, memory efficient, and scalable web server written in OCaml
SqlHydra - SqlHydra is a suite of NuGet packages for working with databases in F# including code generation tools and query expressions.
pyparsing - Python library for creating PEG parsers
Mondocks - An alternative way to interact with MongoDB databases from F# that allows you to use mongo-idiomatic constructs
refute - Refute module.
Npgsql.FSharp - Thin F# wrapper around Npgsql, the PostgreSQL database driver for .NET
angstrom - Parser combinators built for speed and memory efficiency
DustyTables - Thin F# API for SqlClient for easy data access to ms sql server with functional seasoning on top
parser - String parser combinators
tsql - Transact-SQL template combinators.
generator - Generator module.