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SQL dialect

As explained in DuckDB in Action

An SQL dialect is a system-specific variation of SQL that adds or modifies syntax and semantics while retaining the language's core model.

An SQL dialect is a system-specific variation of SQL. DuckDB retains ANSI SQL while extending it for concise analytical queries and local data workflows. section 1.2

DuckDB’s dialect adds practical shorthand and data-shaping features:

  • SELECT * EXCLUDE() and SELECT * REPLACE() simplify column selection. section 1.2
  • GROUP BY ALL and ORDER BY ALL avoid repeating field names. section 1.2
  • PIVOT and UNPIVOT transpose rows and columns, while STRUCT supports nested data. section 1.2

Concise analytical query

SELECT * EXCLUDE (sensitive_column) FROM records GROUP BY ALL ORDER BY ALL; section 1.2

How DuckDB in Action covers it

How deep it goes
Defines standard extensions and their purposes, but stops short of detailed syntax, semantics, or execution internals.
Examples
Demonstrates SELECT EXCLUDE, SELECT REPLACE, GROUP BY ALL, ORDER BY ALL, PIVOT, UNPIVOT, and STRUCT.
What you can do after
Apply it via DuckDB to express more data-processing operations in fewer analytical SQL queries.
How it connects
Connects ANSI SQL with analytical databases, data pipelines, nested data, and file-based data processing.

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This explainer was generated by Manning's knowledge graph from the text of DuckDB in Action. The section links point to the parts of the book it draws on.