dotnet add package Mondocks.Net # or for fable/nodejs dotnet add package Mondocks.Fable
This library is based on the mongodb extended json spec and mongodb manual reference
https://docs.mongodb.com/manual/reference/mongodb-extended-json/ > https://docs.mongodb.com/manual/reference/command/
This library provides a set of familiar tools if you work with mongo databases and can be a step into more F# goodies, it doesn't prevent you from using the usual MongoDB/.NET driver so you can use them side by side. It also can help you if you have a lot of flexible data inside your database as oposed to the usual strict schemas that F#/C# are used to from SQL tools, this provides a DSL that allow you to create MongoDB Commands (raw queries) leveraging the dynamism of anonymous records since they behave almost like javascript objects.
Writing commands should be almost painless these commands produce a JSON string that can be utilized directly on your application or even copy/pasted into the mongo shell.
Commands are kind of a version of raw sql queries but they allow you to do what you already know how to do without much changes to the objects you might be manipulating already.
Ideally this library is meant to be used mostly with records and anonymous records to imitate mongodb queries
Check out this quick sample of what you can do right now
You can also check this gist
open System
open MongoDB.Driver
open MongoDB.Bson
open Mondocks.Queries
open Mondocks.Types
type User = { _id: ObjectId; name: string; age: int }
let createUsers minAge maxAge =
let random = Random()
insert "users" {
documents
[ // an anonymous object that does not include a null _id
{| name = "Peter"; age = random.Next(minAge, maxAge); |}
{| name = "Sandra"; age = random.Next(minAge, maxAge); |}
{| name = "Mike"; age = random.Next(minAge, maxAge); |}
{| name = "Perla"; age = random.Next(minAge, maxAge); |}
{| name = "Updateme"; age = 1; |}
{| name = "Deleteme"; age = 50; |}
]
}
let getUsersOverAge (age: int) =
find "users" {
// equivalent to a mongo query filter
// { age: { $gt: age } }
filter {| age = {| ``$gt``= age |} |}
limit 2
skip 1
}
let updateUser (name: string) (newName: string) =
update "users" {
updates
[ { // you can do mongo queries like
// {| ``$or`` = [] |} -> { $or: [] }
q = {| name = name |}
u = {| name = newName; age = 5 |}
multi = Some false
upsert = Some false
collation = None
arrayFilters = None
hint = None }
]
}
let deleteUser (name: string) =
delete "users" {
deletes
[ { q = {| name = name |}
limit = 1
collation = None
hint = None
comment = None }
]
}
[<EntryPoint>]
let main argv =
let client = MongoClient("mongodb://localhost:27017")
let db = client.GetDatabase("mondocks")
let userscmd = createUsers 15 50
let result = db.RunCommand<InsertResult>(JsonCommand userscmd)
printfn $"InsertResult: %A{result}"
let over20 = getUsersOverAge 20
let result = db.RunCommand<FindResult<User>>(JsonCommand over20)
printfn $"FindResult Ok: %f{result.ok}"
result.cursor.firstBatch |> Seq.iter (fun value -> printfn $"%A{value}")
let updatecmd = updateUser "Updateme" "Updated"
let result = db.RunCommand<UpdateResult>(JsonCommand updatecmd)
printfn $"UpdateResult: %A{result}"
let deletecmd = deleteUser "Deleteme"
let result = db.RunCommand<DeleteResult>(JsonCommand deletecmd)
printfn $"DeleteResult: %A{result}"
0If you want to see what else is available check the samples directory
Right now the documentation is provided via .NET Interactive notebooks. There are three ways ways to ineract with it
-
The Notebooks directory contains jupyter notebooks that you can download and open them with the VSCode Extension to interact with them in real time.
-
If you don't want to download anything you can still check the notebooks online, click on
to go to the binder website and check the notebooks online
-
If your editor supports doc comments, you should be able to see samples as well, part of the source code is documented that way, you should even see examples in the editor tooltips in some cases
This might be very important for you, in case the default serialization strategy doesn't work for you, you should be able to fall back to the core Mondocks library where the general abstractions are defined.
For example in Fable we just use JSON.stringify(value)
module Json =
let Serialize value = toPlainJsObj value |> JSON.stringify
module Aggregation =
let count = CountCommandBuilder(Json.Serialize)and in .NET we use System.Text.Json
module Json =
// ... a bunch of converters ...
type Serializer() =
static member Serialize<'T>(value: 'T, [<Optional>] ?options: JsonSerializerOptions) =
JsonSerializer.Serialize<'T>(value, defaultArg options defaults)
module Aggregation =
let count = CountCommandBuilder(Json.Serializer.Serialize)If our current serialization strategy doesn't work for you (or want to support something like Thoth.Json), you may supply a serialization function for your builder
module MyAggregation =
let serialize (value: obj) =
// ... do the serialization thing ...
let myCount = CountCommandBuilder(fun value -> serialize value)- Emit 100% compatible json with https://docs.mongodb.com/manual/reference/command/ and https://docs.mongodb.com/manual/reference/mongodb-extended-json
- Provide Tools that are familiar from those who come from other environments to be productive since day 1
- Provide Types to ease the transition between command execution and it's return types
- Provide CE's to generate sub types of the main command definitions (e.g. index)
- provide helpers to write different syntax (e.g.
filter (fun m -> m.prop = value),filter ("prop" gt 10))
- Convert this into a document mapper
- Provide 100% of the mongo commands
- Provide a 100% F# idiomatic solution
This is a work in progress, you can help providing feedback about it's usage
Thanks for the early feedback in twitter from Isaac, Zaid, Alexey, Alexander, and the F# community you can follow it on the first issue