Azure SQL Server Query Builder

USE CASE

Azure SQL Server Query Builder

Case Description

As a developer, you are building a social media app that allows users to create and share posts, as well as comment on each other's posts. The app uses a database to store all of the user and post data. In order to retrieve this data and display it in the app, you need to generate a series of SQL queries.

You can use the SQL generator tool to quickly and easily generate the necessary queries. For example, you can use the tool to generate a query that retrieves a list of all the posts that have been shared by a particular user. You can also use the tool to generate a query that retrieves all of the comments that have been made on a particular post.

Once you have generated the necessary queries, you can use them in your application to retrieve and display the data from the database. This allows you to focus on building the core features of your app, rather than spending a lot of time writing and debugging SQL queries.

Before You Start

First, we would create a users table that stores information about each user of the app. This table could have the following columns:

Users

user_id: a unique identifier for each user

username: the user's chosen username

email: the user's email address

password: the user's password (stored in an encrypted format for security)

name: the user's full name

profile_pic: a URL pointing to the user's profile picture

Posts

post_id: a unique identifier for each post

user_id: the user_id of the user who created the post

content: the text content of the post

image: a URL pointing to an image that was included in the post (if any)

timestamp: the time and date when the post was created

Comment

comment_id: a unique identifier for each comment

post_id: the post_id of the post that the comment was made on

user_id: the user_id of the user who made the comment

content: the text content of the comment

timestamp: the time and date when the comment was made

SETTING UP

In this scenario, we are using Azure SQL Server to store our data.

In the Azure SQL Server Object Explorer, expand the tree view on the left-hand side to navigate to the table that you want to export the DDL for.

Right-click on the table and select "Script Table as" > "CREATE To" > "Clipboard" from the context menu.

This will generate the table's DDL and copy it to your clipboard. You can then paste it into a text editor or any other tool to save it as a file.

In the table design view, select the field names and copy them to the clipboard. In the table design view, select the field names and copy them to the clipboard.

APPLICATION

Step-by-Step Azure SQL Server Query Generation

All Databases

Manual Table

CSV Schema

DDL Script

ERD Diagram

Connector

Type

Name

Content

Manual Table

E-Commerce - Playground

Column, Column, Column, Column, Column, Column,

Manual Table

Travel Agencies - Playground

Column, Column, Column, Column, Column, Column,

Manual Table

Retail - Playground

Column, Column, Column, Column, Column, Column,

Manual Table

Real Estate - Playground

Column, Column, Column, Column, Column, Column,

Manual Table

Healthcare - Playground

Column, Column, Column, Column, Column, Column,

Manual Table

Social Media - Playground

Column, Column, Column, Column, Column, Column,

Manual Table

Library System - Playground

Column, Column, Column, Column, Column, Column,

CSV Schema

Lorem Ipsum CSV

version 1.0

@totalColumns 9

/*---------------------------------------------------------------------------------------------------------------------------------------------------------------------------

|This schema is for the validation of technical environment metadata csv files according to the specification given for Lot 2 of the Scanning and Transcription Framework |

|Invitation To Tender document, Appendix D, in particular implementing the restrictions and consistency checks given on page 255. |

|The data in this file is a fairly general description of (software) tools used to process images, so in fact there are few hard and fast restrictions: |

|Most fields are allowed to be any length and may contain any combination of numerals, word characters, whitespace, hyphens, commas and full stops, any exception are noted |

|below. However, as the schema stands, each field must contain some value, it cannot be empty. | *

|This schema was used to validate test results supplied by potential suppliers |

---------------------------------------------------------------------------------------------------------------------------------------------------------------------------*/

//the version number above is the version of the schema language, not the version of this particular schema file

//each line of the csv file being tested must contain 9 columns (fields)

batch_code: length(1,16) regex("^[0-9a-zA-Z]{1,16}$") //1st condition, must be between 1 and 16 characters long,

// and (implicitly multiple conditions are joined by a logical AND

// unless another boolean is provided)

// 2nd condition restricts to alphanumeric characters as specified in ITT p256

company_name: regex("[-/0-9\w\s,.]+")

image_deskew_software: regex("[-/0-9\w\s,.]+")

image_split_software: regex("[-/0-9\w\s,.]+")

image_crop_software: regex("[-/0-9\w\s,.]+")

jp2_creation_software: regex("[-/0-9\w\s,.]+")

uuid_software: regex("[-/0-9\w\s,.]+")

embed_software: regex("[-/0-9\w\s,.]+")

image_inversion_software: regex("[-/0-9\w\s,.]+")

DDL Script

Lorem Ipsum DDL