Data Types
Version 0.3.2

General-Purpose Data Types

The table below shows all the built-in general-purpose data types. The alternatives listed in the aliases column can be used to refer to these types as well, however, note that the aliases are not part of the SQL standard and hence might not be accepted by other database engines.

Name Aliases Description
BIGINT INT8, LONG signed eight-byte integer
BOOLEAN BOOL, LOGICAL logical boolean (true/false)
BLOB BYTEA, BINARY, VARBINARY variable-length binary data
DATE   calendar date (year, month day)
DOUBLE FLOAT8, NUMERIC, DECIMAL double precision floating-point number (8 bytes)
DECIMAL(s, p)   fixed-precision floating point number with the given scale and precision
HUGEINT   signed sixteen-byte integer
INTEGER INT4, INT, SIGNED signed four-byte integer
REAL FLOAT4, FLOAT single precision floating-point number (4 bytes)
SMALLINT INT2, SHORT signed two-byte integer
TIME   time of day (no time zone)
TIMESTAMP DATETIME combination of time and date
TINYINT INT1 signed one-byte integer
UBIGINT   unsigned eight-byte integer
UINTEGER   unsigned four-byte integer
USMALLINT   unsigned two-byte integer
UTINYINT   unsigned one-byte integer
UUID   UUID data type
VARCHAR CHAR, BPCHAR, TEXT, STRING variable-length character string

Nested / Composite Types

DuckDB supports three nested data types: LIST, STRUCT and MAP. Each supports different use cases and has a different structure.

Name Description Rules when used in a column Build from values Define in DDL/CREATE
LIST An ordered sequence of data values of the same type. Each row must have the same data type within each LIST, but can have any number of elements. [1, 2, 3] INT[ ]
STRUCT A dictionary of multiple named values, where each key is a string, but the value can be a different type for each key. Each row must have the same keys. {‘i’: 42, ‘j’: ‘a’} STRUCT(i INT, j VARCHAR)
MAP A dictionary of multiple named values, each key having the same type and each value having the same type. Keys and values can be any type and can be different types from one another. Rows may have different keys. map([1,2],[‘a’,’b’]) MAP(INT, VARCHAR)


LISTs, STRUCTs, and MAPs can be arbitrarily nested to any depth, so long as the type rules are observed.

-- Struct with lists
SELECT {'birds': ['duck', 'goose', 'heron'], 'aliens': NULL, 'amphibians': ['frog', 'toad']};
-- Struct with list of maps
SELECT {'test': [map([1, 5], [42.1, 45]), map([1, 5], [42.1, 45])]};