SQL Query Generator

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Generate hundreds of lines of SQL query with one click. Completely free, no sign up required.

What Is SQL Query Generator?

An AI SQL query generator is an online tool made to make it easier to write SQL queries by using generative AI, machine learning, and natural language processing. This tool is very useful for developers and data professionals who might have trouble creating accurate and effective SQL queries, especially when they are short on time or dealing with complicated database systems. By making the coding process easier, it helps you focus on understanding results and gaining insights instead of getting stuck on the code’s details.

The operation of an AI SQL code generator can be broken down into three main steps:

Input: You give information or context about the database query you need.
Processing: The tool looks at your inputs and creates the right SQL code based on patterns it has learned and best practices.
Output: You get the generated SQL code, ready to use in your project.

How Does Minary’s SQL Query Generator Work?

Here’s how Minary’s AI SQL Query Generator works:Start by describing the task you need in detail. You’ll see a text box on the left side of the interface. Type in keywords, specific requirements, or the overall goal of the SQL code you want generated. For example, you might write, “Create a SQL query to select all customers from the ‘customers’ table who made a purchase in the last month.”

Once you’ve filled out the task description, click the “Generate” button. The generator processes your input and creates the SQL code on the right side of the screen.

After the code appears, you can easily copy it by clicking the “Copy” button at the bottom. This makes it simple to integrate the generated code into your projects without the trouble of writing it down manually.

There’s also a feedback option. Below the generated code, you’ll see buttons to vote on whether the code meets your expectations. Your feedback helps train the AI, allowing it to improve and refine its outputs based on user experiences.

To illustrate further, here are some example prompts you could use:
– “Write a SQL query to find the average order value from the ‘orders’ table for the last quarter.”
– “Generate a SQL statement that updates the ‘users’ table to set the ‘status’ to ‘inactive’ for users who haven’t logged in for over a year.”
– “Create a SQL query that joins ’employees’ and ‘departments’ to list employee names along with their respective department names.”

Examples Of Generated SQL Code

Write a query that retrieves the top 5 customers who have made the highest total purchases in the last year, displaying their name, total purchase amount, and the number of purchases they made. Include only those customers who have made at least 3 purchases during that period.
“`sql

SELECT

c.customer_name,

SUM(o.purchase_amount) AS total_purchase_amount,

COUNT(o.order_id) AS number_of_purchases

FROM

customers c

JOIN

orders o ON c.customer_id = o.customer_id

WHERE

o.order_date >= DATEADD(YEAR, -1, GETDATE())

GROUP BY

c.customer_name

HAVING

COUNT(o.order_id) >= 3

ORDER BY

total_purchase_amount DESC

LIMIT 5;

“`

Write a query to find the names of customers who have made purchases in the last 30 days, along with the total amount they spent. The output should be sorted by the total amount spent in descending order.
“`sql

SELECT c.customer_name, SUM(o.amount) AS total_spent

FROM customers c

JOIN orders o ON c.customer_id = o.customer_id

WHERE o.order_date >= DATEADD(DAY, -30, GETDATE())

GROUP BY c.customer_name

ORDER BY total_spent DESC;

“`