SQL Formatter

Beautify SQL and read it back clause by clause in plain English.

SQL input

Indent
Keywords
query.sql
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Paste a query to format or explain it.

Your SQL is formatted and analyzed in your browser. Nothing is uploaded to BroBroGo.

FAQ

Which SQL dialects can it format?

Standard SQL, PostgreSQL, MySQL, MariaDB, SQL Server (T-SQL), Oracle (PL/SQL), SQLite, BigQuery, Snowflake and Spark SQL. Pick the one that matches your database so keywords and quoting are handled the way that engine expects.

How does the plain-English explanation work?

It reads the query structure — the statement type and each clause like SELECT, FROM, JOIN, WHERE, GROUP BY and ORDER BY — and labels what each one does. It describes the shape of the query, not a database execution plan, so it still works on partial or vendor-specific SQL.

Is it safe to paste production queries?

Yes. Formatting and analysis run entirely in your browser — your SQL never leaves the page.

Written and reviewed by the BroBroGo editorial team.Last updated:

The Importance of Readable SQL Code

In database development and administration, readable SQL code is essential for maintaining system integrity and reducing debugging times. Unformatted, dense, or deeply nested queries increase the cognitive load on developers, data analysts, and database administrators (DBAs). When SQL statements are structured with consistent indentation, logical line breaks, and standardized keyword casing, team members can quickly trace the flow of data, identify logical errors, and verify query performance.

Using a standardized layout ensures that complex operations, such as multi-table joins or subqueries, are immediately recognizable. This consistency is particularly valuable during code reviews, troubleshooting production incidents, and onboarding new team members who must quickly understand legacy codebases.

Supported SQL Dialects and Formatting Options

Different database engines employ unique syntax rules, quoting behaviors, and specialized keywords. To ensure accurate parsing and formatting, the tool supports ten distinct SQL dialects:

  • Standard SQL
  • PostgreSQL
  • MySQL
  • MariaDB
  • SQL Server (T-SQL)
  • Oracle (PL/SQL)
  • SQLite
  • BigQuery
  • Snowflake
  • Spark SQL

Users can customize the output layout using specific formatting parameters:

  • Indent: Choose between 2 spaces, 4 spaces, or tab characters to match your team's style guide.
  • Keywords: Standardize the casing of SQL keywords to UPPER, lower, or Keep the original casing.

Client-Side Processing and Data Privacy

Data privacy is a critical consideration when working with database queries, which often contain sensitive schema designs, table names, or business logic.

Your SQL is formatted and analyzed entirely within your browser, and nothing is uploaded to BroBroGo. Your SQL never leaves the page. Because all processing occurs locally on your machine, there is no transmission of your database structures over the network. Additionally, the tool saves your drafts and theme preferences locally in the browser, allowing you to resume work instantly without storing data on external servers.

Clause-by-Clause Query Explanation

Beyond formatting, the tool provides a plain-English, clause-by-clause breakdown of what a SQL query does. This feature is highly beneficial for learning, comprehension, and debugging, as it translates abstract database operations into clear, logical steps.

Query Structure vs. Database Execution Plans

It is important to distinguish this structural explanation from a database execution plan (such as EXPLAIN or EXPLAIN ANALYZE outputs generated by database engines). An execution plan shows how a specific database engine intends to execute a query, detailing index scans, join algorithms, and estimated costs based on table statistics.

In contrast, this tool analyzes the query structure itself. Because it describes the logical shape of the query rather than physical execution paths, the explanation feature works even on partial or vendor-specific SQL without requiring an active database connection.

Statement Types and Functions

The tool identifies the overall type of each SQL statement and describes its function:

Statement Type Description
SELECT A query that reads and returns rows without changing anything.
INSERT Adds new rows to a table.
UPDATE Changes values in rows that already exist.
DELETE Removes rows from a table.
CREATE Defines a new object such as a table, view or index.
ALTER Changes the definition of an existing object.
DROP Permanently removes an object from the database.
TRUNCATE Empties a table, deleting every row.
WITH Builds a named temporary result (CTE) for the query that follows.
MERGE Inserts, updates or deletes rows in one combined operation.
OTHER A SQL statement.

Clause Roles and Descriptions

For each statement, the tool breaks down individual clauses to explain their specific roles:

  • SELECT: The columns and expressions returned.
  • SELECT DISTINCT: The columns returned, with duplicate rows removed.
  • FROM: The table (or subquery) the data is read from.
  • JOIN: Combines each row with matching rows from another table.
  • WHERE: Keeps only the rows that match this condition.
  • GROUP BY: Collapses rows into groups so aggregates like COUNT or SUM can be computed per group.
  • HAVING: Filters those groups after the aggregates are computed.
  • ORDER BY: Sorts the resulting rows.
  • LIMIT: Caps how many rows come back.
  • OFFSET: Skips a number of rows before returning results.
  • UNION: Combines these results with those of another query.
  • VALUES: The row values being inserted.
  • INTO: The table that receives the new rows.
  • SET: The new column values to assign.
  • UPDATE: The table whose rows are changed.
  • DELETE FROM: The table rows are removed from.
  • WITH: Defines a named temporary result set used below.
  • STATEMENT: The statement, shown as-is.

Rules, Limits, and Error Handling

The tool operates under specific constraints to ensure performance and stability:

  • Size Limit: The maximum length for the SQL input is 300,000 characters. If the input exceeds this limit, the tool displays the message: "This query is too large to process. Try a smaller one.".
  • Syntax Validation: If the input SQL contains syntax errors that prevent formatting, the tool displays the message: "Couldn't format this SQL — check the syntax.". When an error occurs, the previous successful output is not replaced by the error message.
  • Clearing Workspace: Clicking "Clear" empties both the input and output areas, hides any error details, and displays "Cleared.".
  • Explanation Limit: For multi-statement queries, the tool can explain up to 25 statements. If the query contains more, only the first 25 are shown, accompanied by the note: "Only the first 25 are shown.".

Frequently Asked Questions

Which SQL dialects can it format?

Standard SQL, PostgreSQL, MySQL, MariaDB, SQL Server (T-SQL), Oracle (PL/SQL), SQLite, BigQuery, Snowflake and Spark SQL. Pick the one that matches your database so keywords and quoting are handled the way that engine expects.

How does the plain-English explanation work?

It reads the query structure — the statement type and each clause like SELECT, FROM, JOIN, WHERE, GROUP BY and ORDER BY — and labels what each one does. It describes the shape of the query, not a database execution plan, so it still works on partial or vendor-specific SQL.

Is it safe to paste production queries?

Yes. Formatting and analysis run entirely in your browser — your SQL never leaves the page.

What happens if my SQL query has a syntax error?

If the tool cannot parse the query due to a syntax error, it will display the message "Couldn't format this SQL — check the syntax.". Your previous formatted output will remain visible on the screen rather than being overwritten.

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