Free BigQuery SQL Formatter & GoogleSQL Beautifier Online

BigQuery uses GoogleSQL, a columnar warehouse dialect that looks familiar to SQL users but has important rules for nested and repeated data. A query can address a project, dataset, and table with backtick-quoted names, combine ordinary relational columns with ARRAY and STRUCT values, and use scripting statements in one request. Formatting those constructs as plain ANSI SQL often makes a query harder to review or can damage the boundary between a field path, a type, and an expression.

This BigQuery formatter is designed around the dialect details that matter in production. It keeps STRUCT constructors readable, aligns ARRAY literals and ARRAY_AGG clauses, and gives UNNEST joins a clear visual relationship to the repeated field they expand. GoogleSQL also supports the pipe operator, written |> , where each stage receives the relation produced by the previous stage. The formatter preserves that pipeline order and can break long WHERE, EXTEND, AGGREGATE, and ORDER BY stages according to the selected line-length options.

Use this page for GoogleSQL queries that mix CTEs, partition filters, nested records, window functions, or procedural statements. The native GoogleSQL parser validates the syntax before formatting, so comments, quoted identifiers, and complex expressions remain attached to the right part of the query. The editor starts with a BigQuery sample containing STRUCT, UNNEST-related data, and pipe syntax; replace it with your own SQL, choose the formatting rules you prefer, and inspect the Git-style diff before copying the result.

BigQuery readers also benefit from predictable formatting around SELECT * EXCEPT, SELECT * REPLACE, named windows, and scripting variables. Those features can make a short query carry a lot of meaning, especially when a nested field is expanded and then aggregated again. Keeping each stage on its own line makes partition predicates and projected fields easier to audit before a query is scheduled or charged to a warehouse project.