cosmosdb-mongo-api | Web API using Azure Functions that stores data | Document Database library
kandi X-RAY | cosmosdb-mongo-api Summary
kandi X-RAY | cosmosdb-mongo-api Summary
In this tutorial, we’ll build a Web API using Azure Functions that stores data in Azure Cosmos DB with MongoDB API in C#. Azure Cosmos DB is a globally distributed, multi-model, NoSQL database service that allows us to build highly available and scalable applications. Cosmos DB supports applications that use Document model data through it’s SQL API and MongoDB API. I’ve been meaning to produce more content on Cosmos DB’s Mongo API, so in this article, I’m going to be developing a Serverless API in Azure Functions that uses a Cosmos DB MongoDB API account. This article has been loosely based on this fantastic tutorial on creating a Web API with ASP.NET Core and MongoDB. By the end of this article, you’ll know how to create a Cosmos DB account that uses the MongoDB API. You’ll also know how to create a simple CRUD Web API in C# that interacts with a Mongo DB API account.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cosmosdb-mongo-api
cosmosdb-mongo-api Key Features
cosmosdb-mongo-api Examples and Code Snippets
Community Discussions
Trending Discussions on Document Database
QUESTION
Let's say I have a canvas where there are various objects I can add in, such as a/an:
- Drawing
- Image
- Chart
- Note
- Table
For each object I need to store the dimensions and the layer order, for example something like this:
- ObjectID
- LayerIndex
- Dimensions ((x1, y1), (x2, y2))
Each of the objects have vastly different properties and so are stored in different tables (or classes or whatever). Would it be possible to store this into a relational database, and if so, how could it be done? In JSON it would be something like this:
...ANSWER
Answered 2021-Dec-05 at 03:53You have many options as shown below.
There is not much difference in which one you pick, but I would avoid the multi-table design which is the one you said. An object type with 100 properties would be scattered in 101 tables for no gain. 101 disk page accesses for each object type being read. That's unnecessary (if those pages are cached then this problem would be lesser than otherwise but is still waste).
Even dual table is not really necessary if you don't wish to filter things like 'all objects with color=red', but I guess performance is not so urgent to reach to this point, other things matters more, or other bottlenecks have more influence in performance, so pick the one of the no-more-than-dual-table that fits best for you.
Single table - flexible schema per object type objlayerindex type props x0 y0 x1 y1 0 drawing {color:#00FF00,background-color:#00FFFF} 1 2 3 4 1 chart {title:2021_sales,values:[[0,0],[3,4]]} 11 22 33 44- in props the keys are used for flexibility, different objects of the same type may have different keys, for example a chart without subtitle can omit this key.
- this schema is fixed - drawing always has color+backgroundcolor; chart always have title+values; etc - less space used but changing schema involves some work on already existing data.
- here we assume that property ordering is not important. If it is, an extra column
propertyindexwould be needed. For those who love normalization, it is possible also to takepropertynameout of this table to apropertykey-propertydescriptionand reference it by itspropertykey.
- Specifically this kind of data can be normalized one extra level:
You can also use non-relational formats.
Document (Json) StoreQUESTION
I need to remove a child object in FQL. Let me demonstrate with the following example:
...ANSWER
Answered 2021-Oct-22 at 21:08When you set a key's value to null in Fauna, it is removed from the object. In your example, assuming ref is a valid Reference:
QUESTION
I'm don't understand how to unwind and then nested collections in mongoDB. basically I have two collections that are structured like this:
questions doc:
...ANSWER
Answered 2021-Mar-22 at 17:40UPDATE based on comments:
Updated query:
QUESTION
I'm struggling with this nested document too much. I tried to read the document and also follow other SO responses to see if it works for me, but I'm not getting the results that I'm looking for. I want to extract some information from a big nested document.
DATA
I've uploaded the data to mongo playground. https://mongoplayground.net/p/7nbLtXMlFMx
...ANSWER
Answered 2020-Oct-08 at 23:51You can do (almost!) anything with an aggregate query. In your case I suggest using $unwind to convert the lists to onjects, then $match on your target field(s), $project to trim down the output, $replaceRoot to simplify the structure and $limit for good measure as there's actually 2 records that match your criteria.
QUESTION
Suppose I'm using the cursor to iterate a subset of the documents, ordered by some field let's say.
What happens if while iterating, a new document is being inserted or a current one is being deleted?
Would that affect the cursor or does it MongoDB make some sort of snapshot of the data?
...ANSWER
Answered 2020-Aug-15 at 22:20When you are in a transaction with read concern snapshot, you are reading from a consistent snapshot of the data.
Otherwise you could be experiencing various phenomena described here.
QUESTION
I would like to save a single document field into a local variable, but I am not able to do that. Here is my code:
...ANSWER
Answered 2020-Jul-11 at 21:57You should probably change
QUESTION
I am currently working on an ASP.Net application that stores student information. I am required to store the following information:
- Student number
- Name
- Email address
- Home address
- Contact no.
- Upload photo of the student
- isActive flag to state whether the student is active or not
This information is being stored in a document database and the photo of the student needs to be uploaded to Azure blob storage while returning the link of the image to the document database
How do I do this?
I currently have a class for the student information which looks like this :
...ANSWER
Answered 2020-Mar-10 at 14:52Using Azure CosmosDB for the storage could help. With CosmosDB, you can easily store the image as an attachment to the student document: https://docs.microsoft.com/en-us/rest/api/cosmos-db/attachments
If you don't plan to use CosmosDB, be more precise please about the database storage.
QUESTION
I am very confused between schema, model, instance of a model, and collection in Mongoose.
My understanding is as follows:
- Mongoose.schema( { } ) - analogous to defining the columns of a table in relational databases
- Mongoose.model( 'Name', Schema) - analogous to creating a table in relational dbs (create table statement)
- new Model ({ //DATA }) - analogous to creating a row in relational dbs
- new Model ().query() - analogous to query statements (general Query) in relational dbs
Is this correct?
...ANSWER
Answered 2020-Jan-18 at 19:54You are mostly correct.
Firstly MongoDB is unstructured by nature, hence i recommend not trying to find "analogies" to match it to the structured scheme. With that said similarities do exist so for simplicity we can do so.
One more note is that this syntax your referring to is mongoose specifically and not the original Mongo syntax.
Mongoose.schema( { } )Yes, mongoose gives you the ability to "force" a structure, note this will only come into play when trying toinsert/create/updatedocuments and not when it comes to querying.Mongoose.model('Name', Schema)Yes-ish, mongoose will not create a database per-se, meaning if it does not exist a new one will be created, however inserting a document to that model will create a such collection.new Model ({ //DATA })Yes, however you need to addnew Model().save(), without the save it will not be triggered and saved into the database.new Model ().query()Yes-ish, again similar to themodelfunction this is a mongoose wrapper (that I'm less familiar with) As specified in the docs:
Query constructor used for building queries. You do not need to instantiate a Query directly. Instead use Model functions like Model.find().
Personally I just use the Model functions to query such as find,findOne,aggregate and more.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cosmosdb-mongo-api
Resource Group — Resource groups in Azure are a logical collection of resources. For this tutorial, you can create a new one or add your account to an existing one.
Account Name — This will be the name of your account. It needs to be unique across Azure, so make it a good one :) API — Azure Cosmos DB is a multi-model database, but when we create a Cosmos DB account, we can only pick one API and that will be the API for the lifetime of the account. Since this is a Mongo DB API tutorial, pick the ‘Azure Cosmos DB for MongoDB API’ option.
Location — Where we want to provision the account. I’ve chosen Australia East as that’s the datacenter close to me, but pick a datacenter close to you.
Capacity Mode — In a nutshell, this is how throughput will be provisioned in this account. I have written articles on how throughput works in Cosmos DB if you are interested, but for now choose ‘Serverless’ (still in preview at time of writing).
Account Type — Choose production
Version — This is the version of the MongoDB wire protocol that the account will support. Choose 3.6
Availability Zones — Disable this for now.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
