SqlKata Query Builder
MongoDB
SqlKata Query Builder | MongoDB | |
---|---|---|
5 | 250 | |
3,003 | 25,487 | |
0.8% | 0.8% | |
2.6 | 10.0 | |
4 days ago | 5 days ago | |
C# | C++ | |
MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SqlKata Query Builder
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EF Core or Dapper
SqlKata is your friend.
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ASP.Net Core database modelling without using existing ORMs?
Don't know if can be a good pick for the no-ORM requirement but I would take a look at SqlKata which is a nice query builder + execution engine, built on top of Dapper
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Which ORM to study ?
Not really an ORM. But I have been enjoying SqlKata recently. Works with Dapper but helps reduce SQL strings and makes things like pagination really easy. Also nice for dynamic filters.
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Windyquery: A non-blocking Python PostgreSQL query builder
That is basically the description of an object mapper, with all the guarantees of an object mapper :). It seems if you actually use the query builder as such, no guarantees exist.
I'm pretty picky regarding query builders and ORM's, to the extent of having written several of them over the years, in different languages (both dynamic and strong typed, unfortunately closed-source). I'm a strong advocate of schema-first design, and usually a query builder will allow you to design your queries explicitly, but having some internal behaviors (such as string concatenation, identifier quoting and automatic in-order separation of parameters and values to be bound) taken care of. As good examples of this, I'd mention golang's goqu (https://github.com/doug-martin/goqu) and - to some extent - C# SqlKata (https://sqlkata.com/). Following my frustrations with Python ORMs, I built my own toy project, sort-of-in-beta, called rickdb (https://github.com/oddbit-project/rick_db).
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I don't want to learn your garbage query language
Less about the exact syntax and more about the tool, for example: https://github.com/sqlkata/querybuilder. I just chose that since it was on top of a search but the idea is the same. Your code generates raw SQL, so it's 100% interchangeable with writing SQL yourself however the builder library deals with the syntax, proper ordering, quoting, full attribute names, etc. Some such libraries even let you define your schema in code to make your SQL generation type safe.
MongoDB
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What do you want to watch next? This is why I built GoodWatch.
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance
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System Design: Databases and DBMS
MongoDB
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From Zero to CRUD Hero: Building Your First Backend API in JavaScript
First, visit MongoDB Atlas and create an account, or sign in if you already have one. This article will guide you through the process of creating a MongoDB account. You should be redirected to your dashboard once you have completed the process. Locate the Connect button and click it.
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.
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Building Llama as a Service (LaaS)
I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.
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Time Series Blob Data: ReductStore vs. MongoDB
In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
MongoDB to store our data as documents, close to JS objects
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How to choose the right type of database
MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.
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How to create a dynamic AI Discord bot with TypeScript
MongoDB
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Mastering Microservices: A Hands-On Tutorial with Node.js, RabbitMQ, Nginx, and Docker
Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.
What are some alternatives?
Yessql - A .NET document database working on any RDBMS
mongo-express - Web-based MongoDB admin interface, written with Node.js and express
NReco LambdaParser - Runtime parser for string expressions (formulas, method calls). Builds dynamic LINQ expression tree and compiles it to lambda delegate.
Marten - .NET Transactional Document DB and Event Store on PostgreSQL
LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file
Insight.Database - Fast, lightweight .NET micro-ORM
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
sqlx - general purpose extensions to golang's database/sql
SQLAlchemy - The Database Toolkit for Python
monitor-table-change-with-sqltabledependency - Get SQL Server notification on record table change
Apache Ignite - Apache Ignite