USE CASE
MySQL Query Generator
MySQL Query Generator
MySQL Query Generator
Case Description
The website may use WordPress to manage the content and display the tables, and the AI2sql can be used to generate the necessary queries to extract the data from the database and populate the tables. The tool can be used to easily create complex queries that can filter and sort the data, allowing the website to display only the relevant information and make it easy for users to find what they are looking for.
Data Structure
wp_posts
wp_posts
wp_posts
This table stores data about the posts and pages on the website, including the title, content, author, date, and other metadata.
This table stores data about the posts and pages on the website, including the title, content, author, date, and other metadata.
This table stores data about the posts and pages on the website, including the title, content, author, date, and other metadata.
wp_users
wp_users
wp_users
This table stores data about the users of the website, including their username, password, email, and other profile information.
This table stores data about the users of the website, including their username, password, email, and other profile information.
This table stores data about the users of the website, including their username, password, email, and other profile information.
wp_comments
wp_comments
wp_comments
This table stores data about the comments that users leave on the website, including the comment text, author, date, and other metadata.
This table stores data about the comments that users leave on the website, including the comment text, author, date, and other metadata.
This table stores data about the comments that users leave on the website, including the comment text, author, date, and other metadata.
wp_options
wp_options
wp_options
This table stores data about the settings and options for the website, including the site title, URL, theme, and plugin settings.
This table stores data about the settings and options for the website, including the site title, URL, theme, and plugin settings.
This table stores data about the settings and options for the website, including the site title, URL, theme, and plugin settings.
wp_term_taxonomy
wp_term_taxonomy
wp_term_taxonomy
This table stores data about the categories, tags, and other taxonomies used on the website, including the name, description, and hierarchy of each taxonomy.
This table stores data about the categories, tags, and other taxonomies used on the website, including the name, description, and hierarchy of each taxonomy.
This table stores data about the categories, tags, and other taxonomies used on the website, including the name, description, and hierarchy of each taxonomy.
wp_links
wp_links
wp_links
This table stores data about the links that are added to the website, including the link URL, name, description, and other metadata.
This table stores data about the links that are added to the website, including the link URL, name, description, and other metadata.
This table stores data about the links that are added to the website, including the link URL, name, description, and other metadata.
APPLICATION
Step-by-Step MySQL Query Generation
Step-by-Step MySQL Query Generation
Step-by-Step MySQL 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
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Next
Add Database
My Databases
Furkan ARCA
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
Data Insight Generator
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
Docs
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
Furkan ARCA
Basic Plan
Search
Database Engine*
Please select your database engine to generate queries compatible with the desired database systems.
MySQL
Database*
Select a database to obtain outputs in your own database.
Selected Database: wp_posts, wp_comments
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 MySQL as the Database Engine. Then, select the Database you want to query. In this case, we are selecting the "wp_posts" 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 MySQL as the Database Engine. Then, select the Database you want to query. In this case, we are selecting the "wp_posts" 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 MySQL as the Database Engine. Then, select the Database you want to query. In this case, we are selecting the "wp_posts" Table. Now, you are ready to start asking questions.
Try asking the following queries;
How many posts are there in the wp_posts table, and who are the authors of the posts?
How many posts are there in the wp_posts table, and who are the authors of the posts?
How many posts are there in the wp_posts table, and who are the authors of the posts?
How many comments are there in the wp_comments table, and which posts have the most comments?
How many comments are there in the wp_comments table, and which posts have the most comments?
How many comments are there in the wp_comments table, and which posts have the most comments?
What are the most common values for the post_type and comment_approved columns in the wp_posts and wp_comments tables?
What are the most common values for the post_type and comment_approved columns in the wp_posts and wp_comments tables?
What are the most common values for the post_type and comment_approved columns in the wp_posts and wp_comments tables?
Are there any posts or comments that have missing or null values in their post_title, post_content, or comment_content columns?
Are there any posts or comments that have missing or null values in their post_title, post_content, or comment_content columns?
Are there any posts or comments that have missing or null values in their post_title, post_content, or comment_content columns?
What are the average or median values for the comment_count column in the wp_posts table, and which posts have the highest or lowest comment counts?
What are the average or median values for the comment_count column in the wp_posts table, and which posts have the highest or lowest comment counts?
What are the average or median values for the comment_count column in the wp_posts table, and which posts have the highest or lowest comment counts?
Are there any users in the wp_users table who have not left any comments in the wp_comments table?
Are there any users in the wp_users table who have not left any comments in the wp_comments table?
Are there any users in the wp_users table who have not left any comments in the wp_comments table?
What are the total sum or count of values for the menu_order column in the wp_posts table, and which posts have the highest or lowest menu orders?
What are the total sum or count of values for the menu_order column in the wp_posts table, and which posts have the highest or lowest menu orders?
What are the total sum or count of values for the menu_order column in the wp_posts table, and which posts have the highest or lowest menu orders?
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