PySpark data types

This page provides a list of PySpark data types available on Databricks with links to corresponding reference documentation.

Data type	Description
`ArrayType(elementType[, containsNull])`	Array data type
`BinaryType()`	Binary (byte array) data type
`BooleanType()`	Boolean data type
`ByteType()`	Byte data type, representing signed 8-bit integers
`CalendarIntervalType()`	Calendar intervals
`CharType(length)`	Char data type
`DataType()`	Base class for data types
`DateType()`	Date (datetime.date) data type
`DayTimeIntervalType([startField, endField])`	DayTimeIntervalType (datetime.timedelta)
`DecimalType([precision, scale])`	Decimal (decimal.Decimal) data type
`DoubleType()`	Double data type, representing double precision floats
`FloatType()`	Float data type, representing single precision floats
`Geography` (Databricks only)	Geography data type
`Geometry` (Databricks only)	Geometry data type
`IntegerType()`	Int data type, representing signed 32-bit integers
`LongType()`	Long data type, representing signed 64-bit integers
`MapType(keyType, valueType[, valueContainsNull])`	Map data type
`NullType()`	Null type
`ShortType()`	Short data type, representing signed 16-bit integers
`StringType([collation])`	String data type
`StructField(name, dataType[, nullable, metadata])`	A field in StructType
`StructType([fields])`	Struct type, consisting of a list of StructField
`TimestampType()`	Timestamp (datetime.datetime) data type
`TimestampNTZType()`	Timestamp (datetime.datetime) data type without timezone information
`VarcharType(length)`	Varchar data type
`VariantType()`	Variant data type, representing semi-structured values
`YearMonthIntervalType([startField, endField])`	YearMonthIntervalType, represents year-month intervals of the SQL standard