I would like to start a new project making use of fastapi. i would prefer mongodb as the storage backend and I would also like to have the whole thing 'speak' graphql.
In early 2022; what are the options? I see there's graphene-mongo... but I can't seem to find anything else.
I am trying to develop something with this tech stack but without success so far.
I am a front-end developer and am diving into the full stack universe. After trying many languages, frameworks and databases, this technology stack I found the most interesting for what I intend to do because of its flexibility.
But for now, I could not advance much and also found the same difficulty as you, very few examples available on the web.
My small example application uses FastAPI, is already connected to the MongoDB Atlas database and I tried using the Graphene library to expose a graphql endpoint of the database query result, but so far I haven't achieved any meaningful result.
I have also tried using the Strawberry library, which is suggested by the FastAPI documentation, but haven't achieved much yet either.
I will keep pushing to make this tech stack work and if I succeed, I can share my experience with you if you are still interested.
Related
I'm trying to understand some basic things. I'm a php programmer and I'm interested in flutter. If anyone can answer, I would really appreciate it...
I use mysql in my projects, which are on hostgator. I heard that sqlite is only for local storage and in my case the entire web project will be hosted on the remote server. Can I use sqlite to save my customers' data? Or is there something native better? A big concern of mine!
Is flutter mature enough for robust commercial applications?
Does the documentation indicate when something applies to an earlier version? Or is the information all mixed up and it's up to the programmer to identify when something is only valid for versions prior to flutter 3?
thank you for any guidance
You can use Sqlite, but I would recommend Firestore/Firebase for stuff like that. It's very easy to implement it and they have great solutions for many thigs.
Yes it is! Many commercial applications are running on flutter now. For example the Google Ads app is built with flutter.
I don't really know for sure, but I know that the one time I had a problem with it, it was declared.
I'd prefer saving user's data on the cloud. I personally like Google's firebase which helps with authentication and storage using RealTime Database. It's pretty easy to sync your user's data into the DB and even stores data using cache in case the user is offline and syncs to DB once device is online. You can find more about firebase and their products here.
Flutter is a really great framework to get your apps done for multiple platforms at once, thanks to its cross platform compatibility! If you don't want to spend time creating app for multiple devices, flutter's the way to go. I personally think flutter web is yet to grow, but it will overtime, afterall, it's opensource framework by Google. I'd suggest this idea 8.5/10
Flutter docs are pretty well written and an beginner could get through it with some video examples (included in documentation) as well. In case something you want to use isn't supported in newer version of flutter, the text editor will show a line over the code meaning that it is deprecated and wouldn't be supported. There's always an alternative, which you could find using flutter docs or YouTube. Flutter docs are optimised for beginners 9/10
Ad 1. There is pub.dev- the official package repository for Dart and Flutter. You can find many interesting packages there. They give you possibilities that the native Flutter doesn't give.
For example mysql1- driver for MySQL and MariaDB.
So as the title implies, I have a little problem. I'm developing app with Angular 4 and I would like to us it in combination with Node (mainly for API). So I tried to start both servers, and use it that way, but as i'm currently developing at local machine, so maybe there is better alternatives? Something like MEAN (MongoDb Express Angular Node) combination, but all of those are quite hard to use, there is lack of documentation, and those uses angular 2 instead of 4. I prefer MEAN stack, but I can't find one that are maintained and up to date.
Thank you for your help.
EDIT:
As some answers implied I will properly describe what I did to achieve what I need.
Here is what I have tried:
Having two tools (Node and Angular) to communicate to each other via http protocol (actually this kind'a worked, but node wasn't stable, it broke with connection error to db and Angular would not get response from it until it crashes)
Tried to use Angular proxy settings to enable link rerouting to have wildcard for all links that starts with /api/
Installed few MEAN stacks, tried to test it's potential and decided that it's way to over the limit to achieve what I want.
Tried to combine two tools into one by starting both at same port (as you might imagine, this broke both of them).
You can use MongoDB in your API whithout problems, and also it's not that hard to use it, its really more simple thant DataBases that have relational objects, like SQL, PostGRES and so on. I would recommend Hapi instead Express, but Express have a lot of information on the web, so if you are not confortable with re-search in documentation, Express would be you better option.
When i started developing in node.js it take me time to figure out that tutorials and videos only give me headache, old videos that doesent use the same Frameworks as i do, or not in the same version. So i started to take deep into the documentation, i used to pass more time reading than writing code, and it help me a lot.
The most common/simple is MEAN API, find something you like and stick with it ^-^
I have been previously learning, how to make applications with ionic2, Angular2 --> For Frontend.
And backend--> Firebase.
Now I have to change my backend to MongoDB.So, What all important things I should learn in order to use MongoDB?Please suggest.
Thank you.
Note: Please let me know if any more inputs are needed relating to this.
You can learn following to accomplish a decent backend with mongodb :
Learn mongodb with some latest aggregation features to make sure the your queries are optimized. mongodb has great documentation which can help you. Install mongo shell and play around to get hands on it.
Make sure your have good cluster-replica management to make sure your data is backed up properly.
Extremely important, make sure you add indexes on the fields which you find are reference points for majority of your queries. Trust me, adding a simple index to a commonly referenced field makes a huge difference. Also, just as an addon, check what type of index you would need based on your requirement. There are various available in mongodb documentation.
Make sure you structure your collections in such a way that there are not many $looups(inner joins) however still making sure how you can keep it scalable. It totally depends on your application schema though.
Try hands on Mongodb Map-Reduce as its very handy.
Install RoboMongo, a GUI client for mongodb if you are used to stuff like phpmyadmin.
Node js(optional if required) :
1. Learn express which is really easy. It will help you to get started with basic routing, cors handling , middlewares and such http-web related stuff.
2. Mongoose, which is a mongodb package for node. There are many others, however if you are familiar with ORM then mongoose is really handy to get you going with simple steps.
3. Authentication for RESTful APIs : There are many options available to be honest. However, based on my experience, you can use passport-jwt, which is really simple and effective.
I'm fixing the usability/documentation for the mean stack. I'm starting with Mean.JS. Can someone give me the salient reasons why the authors of the MEAN stack use MongoDB as the database? There are other databases to choose, but MongoDB is used for some reason.
I realize there are questions already covering databases, but I'm wondering specifically why it was used in the MEAN stack scenario.
It think the primary reason is that MongoDB uses the same language Javascript (ECMA Script) for methods and functions API, rather than a separate language (like SQL). Thus MongoDB is a good no SQL database option, and it works much more efficiently as a database for the rest of the stack.
As others have pointed out, there are many other reasons, like that it is the most popular NoSQL database at this point. It has a decent shell and you can write Javascript in it. It is Open Source and well documented.
It is also really easy to setup, and scales fairly well, although not as good as some other NoSQL databases.
It also uses BSON, which is similar to JSON, which is similar to a Javascript object. So it is just plain easy to learn and easy to use this particular database with the rest of a Javascript stack.
There's some pretty good reasons here: http://blog.mongodb.org/post/49262866911/the-mean-stack-mongodb-expressjs-angularjs-and
A Glimpse Into Four Key Components - How MEAN Stack Adds New Dimensions To New-Age Web Applications
All four components of MEAN Stack are popular in the app development space. It offers a platform that enables an effortless development work process. Let’s know about every component and its unique features.
MongoDB – Independent database framework
For any web app building, data storage and management are essential. MongoDB is a popular database with NoSQL document to allow this purpose. The primary use case of this framework is to enable data storage and management of every web application development.(Read More)
i've been developing a asp mvc website for almost a year now exclusively on mongodb. i've loved it for the most part. development productivity has been great using a C# mongodb driver and tools like mongovue.
however, i've started to reach a point where there are things i really wish i had a SQL server database for. simple tasks like updating a record in the DB and only mildly complex queries to generate some type of report are becoming a pain.
i read an article somewhere that in order for NOSSQL to succeed there needs to be a standard query language for it, and tools developed around it. i'm guessing this is far far away, so right now i'm stuck trying to deal with these things.
i think eventually i will have to have a dual solution with monogDB and sql server. i don't think i will ever get to the point where i am as productive updating and writing queries for mongoDB as i was with sql server.
how are you guys dealing with this when using NOSQL like mongodb? are you facing the same issues as me?
One solution you may consider is LINQPad. You can set up a template with a reference to 10Gen's drivers and write ad-hoc, C# MongoDB queries like you would in your code. My team and I use this method to address the very problem you mention.
Try it out (it's free) and see if it can help with the simple, day-to-day queries you come up with.
Edit I also support Chris's suggestion of familiarizing yourself with the native JSON query language. Nothing beats a quick console window for speed, if you know the syntax.
The official C# driver will probably get a LINQ provider some time in the future, so that'd give .NET devs a familiar syntax for querying and maybe help with initial productivity. There're also some nice docs that help relate MongoDB queries back to SQL:
SQL to Mongo Mapping Chart
SQL to MongoDB (PDF)
These are great for learning, but to get the most out of Mongo it's well worth investing time getting used to the native JSON query syntax and Mongo-specific concepts like map-reduce.
Since your questions asks,
how are you guys dealing with this when using NOSQL like mongodb?
I thought I'd chime in. I felt your pain when working with another NOSQL database, RavenDB.
I wrote a Linqpad driver specifically for ad hoc interactions with RavenDB.
https://github.com/ronnieoverby/RavenDB-Linqpad-Driver