1. Define Schema

2. Select Columns (SELECT)

Define a schema to see columns.

3. Add Joins

+ Add Join

4. Add Conditions (WHERE)

+ Add Condition

5. Order & Limit

+ Add Order By

Generated SQL

About the SQL Query Builder

We created this tool to help developers and data analysts build complex SQL queries without having to write everything from scratch. It provides a user-friendly interface to define your tables, select columns, create joins, and add conditions. It's an excellent way to learn SQL or to speed up your daily workflow by generating clean, error-free queries in real-time.

How to Use the Tool

  • Start by defining your database schema in the first box. Use the format `tableName(column1, column2)`.
  • Once your schema is defined, the "Select Columns" area will populate, allowing you to check the columns you want to retrieve.
  • Use the "Add Join" and "Add Condition" buttons to build out your `JOIN` and `WHERE` clauses. The dropdowns will be populated with your schema.
  • Add sorting rules with the "Add Order By" button and set `LIMIT` and `OFFSET` for pagination.
  • The final, formatted SQL query will be generated in real-time in the output box, ready to be copied and used.

Frequently Asked Questions

What is a SQL Query?

A SQL query is a command used to retrieve data from a database. The most common type of query is a `SELECT` statement, which allows you to specify exactly which data you want to get, from which tables, and based on what conditions. This tool helps you build those `SELECT` statements visually.

Why are there different SQL Dialects?

While SQL is a standard language, different database systems like MySQL, PostgreSQL, and SQL Server have their own unique syntax and functions. This is known as a "dialect." Our tool lets you choose a dialect to ensure the generated query uses the correct syntax for things like quoting identifiers (e.g., ` vs. `"` vs. `[]`) and pagination (`LIMIT` vs. `TOP`).

What are JOINs used for?

In a relational database, data is often split across multiple tables. For example, you might have a `users` table and a `posts` table. A `JOIN` is used to combine rows from these two tables based on a related column between them (like `users.id` and `posts.user_id`), allowing you to retrieve a user's information along with the posts they have written in a single query.

Is the schema I enter kept private?

Yes, absolutely. This is a client-side tool, which means all the logic runs directly in your web browser. Your database schema and the queries you build are never sent to our servers, ensuring your data structure remains completely confidential.

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