USE CASE
SQL Query Generator
SQL Query Generator
SQL Query Generator
Case Description
Imagine that you work for a travel agency that manages bookings for various hotels and flights. Your company has a database that stores information about the hotels and flights that are available, as well as the bookings that have been made by customers.
You need to generate a report that shows the total number of bookings for each hotel, along with the total revenue generated by those bookings. You could use a SQL generation tool to automatically create the necessary SQL query to retrieve this information from the database.
Data Structure
Hotels
Hotels
Hotels
Flights
Flights
Flights
Bookings
Bookings
Bookings
APPLICATION
Step-by-Step SQL Query Generation
Step-by-Step SQL Query Generation
Step-by-Step SQL 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
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,.]+")
ERD Diagram
Lorem Ipsum ERD
Connector
Lorem Ipsum MySQL Connector
Connector
Lorem Ipsum MySQL Connector
Connector Sub Table
Column, Column, Column, Column, Column, Column,
Connector Sub Table
Column, Column, Column, Column, Column, Column,
Connector Sub Table
Column, Column, Column, Column, Column, Column,
Prev
1
2
3
...
10
Next
Add Database
My Databases
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Pro Plan
🛢️ Manually Add
📝 Importing via CSV
📝 Importing via DDL Scripts
📂 Importing via ERD Diagrams
🔗 Importing via Data Connectors
1
Setting Up Your Databases
Visit the “Databases” page and click on the “Add Tables” option under the “Add Database” heading. In the pop-up that appears, fill in the table name, description, and column names accurately and completely according to the data structure.
Visit the “Databases” page and click on the “Add Tables” option under the “Add Database” heading. In the pop-up that appears, fill in the table name, description, and column names accurately and completely according to the data structure.
Visit the “Databases” page and click on the “Add Tables” option under the “Add Database” heading. In the pop-up that appears, fill in the table name, description, and column names accurately and completely according to the data structure.
Quick Tip
You can import the CSV schema you prepared earlier or try to connect and work with the databases from a supported database provider using the database connector.
You can import the CSV schema you prepared earlier or try to connect and work with the databases from a supported database provider using the database connector.
You can import the CSV schema you prepared earlier or try to connect and work with the databases from a supported database provider using the database connector.
2
Open the Text2SQL Tool
There are dozens of options available on the AI2SQL homepage. For this case, we need to open the Text2SQL application since we’ll be using Text2SQL.
There are dozens of options available on the AI2SQL homepage. For this case, we need to open the Text2SQL application since we’ll be using Text2SQL.
There are dozens of options available on the AI2SQL homepage. For this case, we need to open the Text2SQL application since we’ll be using Text2SQL.
Quick Tip
As a more flexible method, you can visit the SQL Chat option on the AI2SQL homepage to interact with your database as if you’re having a conversation.”
As a more flexible method, you can visit the SQL Chat option on the AI2SQL homepage to interact with your database as if you’re having a conversation.”
As a more flexible method, you can visit the SQL Chat option on the AI2SQL homepage to interact with your database as if you’re having a conversation.”
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All Tools
Text to SQL
Convert your natural language queries into SQL commands effortlessly.
Explain SQL
Understand your SQL queries better for clear insights.
Optimize SQL
Enhance your SQL query performance.
Format SQL
Clean and organize your SQL code effortlessly.
Formula Generator
Create complex any formulas easily
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Exploring potential angles of analysis for your datasets.
SQL Validator
Clean and organize your SQL code effortlessly.
Query CSV
Ask questions about the CSV data
SQL Bot
Ask questions about the selected database
My Databases
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Identifying SQL errors with SQL Fixer
Understanding common SQL error messages
Applying formatting to your SQL queries
Editing, Updating, and Deleting Table Information
Generating SQL based on predefined datasets
Excel, Google Sheets, and regex formula translation
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Basic Plan
Search
Database Engine*
Please select your database engine to generate queries compatible with the desired database systems.
SQL
Database*
Select a database to obtain outputs in your own database.
Selected Database: Hotels
Input*
Please write your query in no more than 200 characters.
e.g. Show me all employees where their salary is above 60,000.
0 / 200
GPT 4
Generate ⚡️
3
Make a Few Minor Adjustments
The purpose of Text2SQL is to provide you with the most accurate results, so you’ll need to make a few selections. First, you need to choose SQL as the Database Engine. Then, select the Database you want to query. In this case, we are selecting the "Hotels" Table. Now, you are ready to start asking questions.
The purpose of Text2SQL is to provide you with the most accurate results, so you’ll need to make a few selections. First, you need to choose SQL as the Database Engine. Then, select the Database you want to query. In this case, we are selecting the "Hotels" Table. Now, you are ready to start asking questions.
The purpose of Text2SQL is to provide you with the most accurate results, so you’ll need to make a few selections. First, you need to choose SQL as the Database Engine. Then, select the Database you want to query. In this case, we are selecting the "Hotels" Table. Now, you are ready to start asking questions.
Try asking the following queries;
Asking a question is easy. You just ask the question and click on “Generate SQL”.
Asking a question is easy. You just ask the question and click on “Generate SQL”.
Asking a question is easy. You just ask the question and click on “Generate SQL”.
To retrieve a list of all the hotels available, along with their names, addresses, and prices per night:
To retrieve a list of all the hotels available, along with their names, addresses, and prices per night:
To retrieve a list of all the hotels available, along with their names, addresses, and prices per night:
4
Select Multiple Databases
To work with more complex queries, try selecting multiple databases when making your database selection. This is where you’ll truly experience the difference of AI2SQL.
To work with more complex queries, try selecting multiple databases when making your database selection. This is where you’ll truly experience the difference of AI2SQL.
To work with more complex queries, try selecting multiple databases when making your database selection. This is where you’ll truly experience the difference of AI2SQL.
Database Engine*
Please select your database engine to generate queries compatible with the desired database systems.
SQL
Database*
Select a database to obtain outputs in your own database.
Selected Database: Hotels, Bookings, Flights
Input*
Please write your query in no more than 200 characters.
e.g. Show me all employees where their salary is above 60,000.
0 / 200
GPT 4
Generate ⚡️
Try asking the following queries;
Asking a question is easy. You just ask the question and click on “Generate SQL”.
Asking a question is easy. You just ask the question and click on “Generate SQL”.
Asking a question is easy. You just ask the question and click on “Generate SQL”.
To retrieve a list of all the bookings made, along with the hotels and flights that were booked, and the total price of each booking:
To retrieve the total number of bookings for each city (regardless of whether it is the departure or arrival city), along with the total revenue generated by those bookings
These are just a few examples of the types of queries that you could use with the travel agency database. You could also create more complex queries to retrieve and analyze the data in other ways, such as by filtering the results based on certain criteria, or by joining multiple tables together to retrieve related data.
These are just a few examples of the types of queries that you could use with the travel agency database. You could also create more complex queries to retrieve and analyze the data in other ways, such as by filtering the results based on certain criteria, or by joining multiple tables together to retrieve related data.
These are just a few examples of the types of queries that you could use with the travel agency database. You could also create more complex queries to retrieve and analyze the data in other ways, such as by filtering the results based on certain criteria, or by joining multiple tables together to retrieve related data.
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