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SQL Query Visualizer

Paste any SQL query and instantly see a visual flow diagram showing tables, joins, filters, and data flow. Understand complex queries at a glance — no data leaves your browser.

Processed entirely in your browser
Sample Queries
SQL Query
2
Tables
1
Joins
6
Operations
0
CTEs
Query Flow (Logical Execution Order)
1
2
3
4
5
6
Join Details
TypeTableCondition
⊝INNERorders (o)u.id = o.user_id

SQL Query Visualizer — Paste any SQL query and instantly see how it executes. The diagram shows the logical execution order: tables are loaded first, then filtered, grouped, and projected. Click any node to highlight which tables it references across the entire query. Smart warnings detect common anti-patterns like LEFT JOIN + WHERE conflicts. Export your diagram as PNG or SVG to share in docs and Slack. No data leaves your browser.

Frequently Asked Questions

What types of SQL queries does this visualizer support?
The visualizer supports SELECT queries with FROM, JOIN (INNER, LEFT, RIGHT, FULL, CROSS), WHERE, GROUP BY, HAVING, ORDER BY, LIMIT, CTEs (WITH clauses), and subqueries. It works with standard SQL syntax compatible with PostgreSQL, MySQL, SQLite, SQL Server, and other major databases.
How does the visual flow diagram work?
The diagram shows your SQL query in logical execution order — the order the database actually processes it, not the order you wrote it. Databases process FROM and JOINs first to load tables, then filter with WHERE, then group with GROUP BY, then filter groups with HAVING, then project columns with SELECT, and finally sort and limit the results. This helps you understand exactly how data flows through your query.
What SQL dialects are supported?
The parser handles standard ANSI SQL syntax which is compatible with PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, and most other relational databases. Dialect-specific extensions like MySQL's LIMIT with OFFSET or PostgreSQL's DISTINCT ON will still parse correctly for their standard components.
Can I visualize queries with multiple JOINs?
Yes. The visualizer handles any number of JOINs and displays each one as a separate node in the flow diagram with the join type (INNER, LEFT, RIGHT, FULL, CROSS), the joined table, and the ON condition. This is especially helpful for understanding complex multi-table queries where the join order and conditions can be hard to follow in raw SQL.
Does this tool work with CTEs (Common Table Expressions)?
Yes. WITH clauses (CTEs) are parsed and displayed as separate nodes at the top of the flow diagram, showing how temporary result sets are defined before being used in the main query. This makes it easy to follow the data flow from CTE definition through to the final query.
Is my SQL query sent to any server?
No. The SQL parsing and visualization happen entirely in your browser using JavaScript. Your queries never leave your device — no server calls, no uploads, no data collection of any kind. This is critical for developers who work with queries containing sensitive table names, column names, or business logic. You can verify this in your browser's DevTools Network tab.
Can I use this to debug slow SQL queries?
While this tool doesn't replace EXPLAIN or query profilers, it helps you understand the logical structure of complex queries. By seeing the execution flow visually, you can spot issues like unnecessary joins, missing WHERE clauses that should filter earlier, or GROUP BY operations on large intermediate result sets. It is a great first step before diving into query optimization.
What happens if my SQL has syntax errors?
The parser is designed to be lenient — it will extract and visualize as much structure as it can, even from imperfect SQL. If a query cannot be parsed at all, you will see an error message. The tool focuses on visualizing query structure rather than strict SQL validation.

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