pyflink.dataframe.lit

lit(value: Any, data_type: Optional[pyflink.table.types.DataType] = None) → pyflink.table.expression.Expression

Create a literal expression.

Parameters

• value – The literal value.

• data_type – Optional data type for the literal.

Returns

Expression representing the literal.

Example::

>>> import pyflink.dataframe as pf
>>> pf.lit(1)
>>> pf.lit("hello")
>>> pf.lit(1.5, DataTypes.DOUBLE())