#Masstransit docker example how to
#Masstransit docker example install
#Masstransit docker example code

To test the CRUD endpoints, you can import the Note App.postman_collection.json file into Postman and make HTTP requests to the Fiber server.

#Masstransit docker example install

After that, run the command go run main.go in the terminal to install the necessary packages, migrate the GORM schema to the MySQL database, and start the Fiber HTTP server.Next, open the integrated terminal in your IDE or text editor and start the MySQL server in Docker by running the command docker-compose up -d.

#Masstransit docker example code

Firstly, download or clone the Golang Fiber CRUD project from and open the source code in a code editor of your choice.

If you want to run the Golang CRUD API project on your computer, you can follow these steps:

The Complete Code of the Fiber Route Handlers.

Fiber Route Handler to Fetch a Single Record.

Fiber Route Handler to Retrieve All Records.

Fiber Route Handler to Create a New Record.

Create a Function to Connect to the MySQL Server.

Load the Environment Variables with Viper.

Run the CRUD API Project on Your Machine.

Build CRUD API with Django REST framework.

Build a CRUD App with FastAPI and SQLAlchemy.

Build a CRUD API with Node.js and Sequelize.

Build a Simple API with Rust and Actix Web.

Build a Simple API with Rust and Rocket.

Create CRUD API in Golang using Fiber and GORM.

Golang CRUD RESTful API with SQLC and PostgreSQL.

Without further ado, let’s dive right into the tutorial to construct the Golang CRUD API using Fiber, GORM, and MySQL. Nonetheless, for this tutorial, we’ll be using GORM. In those cases, SQLC may be a better choice. However, it’s important to note that it may not be the most performant option for handling high traffic volumes. GORM provides a clean and elegant way to perform CRUD operations on a SQL database, making it a great choice for our project. So, if you’re already familiar with working with Express, then you’ll feel right at home when working with Fiber as the transfer of knowledge is seamless. It offers straightforward APIs and an architecture that is reminiscent of the Express framework in Node.js. Typically, I tend to use Gin Gonic when building APIs in Golang, but after exploring Fiber, I must say that it is much better.

#Masstransit docker example how to

For more information, including how to get an API key and detailed documentation for each API, check out the OpenAI website.In this tutorial, you’ll learn how to build a Golang CRUD API example using the Fiber framework and GORM to interact with a MySQL database. These are just a few more examples of the OpenAI APIs and what you can do with them. Here's an example of how to use the API to detect anomalies in a set of temperature readings: import openaĭata = OpenAI Anomaly Detection API: The Anomaly Detection API allows you to detect anomalies in time-series data. Prompt = 'Translate 'Hello, world!' from English to Spanish'ħ. Here's an example of how to translate the sentence 'Hello, world!' from English to Spanish using the API: import opena OpenAI Translation API: The Translation API allows you to translate text between different languages. Here's an example of how to perform sentiment analysis using the API: import openaĦ. OpenAI Language API: The Language API allows you to perform a variety of natural language processing tasks, including text classification, entity recognition, and sentiment analysis. Here's an example of how to classify an image of a 'dog' using the API: import opena OpenAI CLIP API: The CLIP API allows you to classify images based on textual descriptions and vice versa.

Here's an example of how to generate an image of a 'red shoe' using the API: import openaĤ. OpenAI DALL-E API: The DALL-E API allows you to generate images from textual descriptions. Prompt = 'Sort a list of numbers in descending order'ģ. Here's an example of how to use the API to generate Python code: OpenAI Codex API: The Codex API allows you to generate code based on natural language descriptions. Here's an example of how to generate text using the API:Ģ.

OpenAI GPT-3 API: The GPT-3 API allows you to generate human-like text, answer questions, summarize text, and more.