Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Azure Data Engineering Cookbook

You're reading from   Azure Data Engineering Cookbook Design and implement batch and streaming analytics using Azure Cloud Services

Arrow left icon
Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800206557
Length 454 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Working with Azure Blob Storage 2. Chapter 2: Working with Relational Databases in Azure FREE CHAPTER 3. Chapter 3: Analyzing Data with Azure Synapse Analytics 4. Chapter 4: Control Flow Activities in Azure Data Factory 5. Chapter 5: Control Flow Transformation and the Copy Data Activity in Azure Data Factory 6. Chapter 6: Data Flows in Azure Data Factory 7. Chapter 7: Azure Data Factory Integration Runtime 8. Chapter 8: Deploying Azure Data Factory Pipelines 9. Chapter 9: Batch and Streaming Data Processing with Azure Databricks 10. Other Books You May Enjoy

Provisioning and connecting to an Azure MySQL database using the Azure CLI

Azure Database for MySQL is a Database-as-a-Service offering for the MySQL database. In this recipe, we'll learn how to provision an Azure database for MySQL and connect to it.

Getting ready

We'll be using the Azure CLI for this recipe. Open a new Command Prompt or PowerShell window, and run az login to log in to the Azure CLI.

How it works…

Let's see how to provision the Azure MySQL server.

Provisioning the Azure MySQL server

The steps are as follows:

  1. Execute the following command to create a new resource group:
    az group create --name rgmysql --location eastus
  2. Execute the following command to provision a new Azure MySQL server:
    az mysql server create --resource-group rgmysql --name ademysqlserver  --location eastus --admin-user dbadmin --admin-password mySQL@1234 --sku-name B_Gen5_1

    You should get an output as shown in the following screenshot:

Figure 2.6 – Creating an Azure MySQL server

Figure 2.6 – Creating an Azure MySQL server

Connecting to Azure MySQL Server

The steps are as follows:

  1. Execute the following command to whitelist your public IP in the Azure MySQL Server firewall:
    $clientip = (Invoke-RestMethod -Uri https://ipinfo.io/json).ip
    az mysql server firewall-rule create --resource-group rgmysql --server ademysqlserver --name clientIP --start-ip-address $clientip --end-ip-address $clientip

    You should get an output as shown in the following screenshot:

    Figure 2.7 – Creating a firewall rule for the Azure MySQL Server

    Figure 2.7 – Creating a firewall rule for the Azure MySQL Server

  2. We can connect to the Azure MySQL server using the MySQL shell or the MySQL workbench, or from any programming language. To connect from the MySQL shell, execute the following command in a PowerShell window:
    .\mysqlsh.exe -h ademysqlserver.mysql.database.azure.com -u dbadmin@ademysqlserver -p

    Here's the output:

Figure 2.8 – Connecting to the Azure MySQL server

Figure 2.8 – Connecting to the Azure MySQL server

How it works…

To provision a new Azure MySQL server, execute the following Azure CLI command – az mysql server create. We need to specify the server name, resource group, administrator username and password, location, and SKU name parameters. As of now, there are three different SKUs:

  • B_Gen5_1 is the basic and smallest SKU, up to 2 vCores.
  • GP_Gen5_32 is the general-purpose SKU, up to 64 vCores.
  • MO_Gen5_2 is the memory-optimized SKU, with 32 memory-optimized vCores.

To connect to the MySQL server, we first need to whitelist the IP in the server firewall. To do that, we run the az mysql server firewall-rule create Azure CLI command.

We need to provide the firewall rule name, server name, resource group, and start and end IPs.

Once the firewall rule is created, the MySQL server can be accessed by any of the utilities, such as the MySQL command line or the MySQL workbench, or from a programming language. To connect to the server, provide the host or server name as <mysql server name>.mysql.database.azure.com. We also need to provide the username and password.

You have been reading a chapter from
Azure Data Engineering Cookbook
Published in: Apr 2021
Publisher: Packt
ISBN-13: 9781800206557
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image