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========
DataType
========

The :class:`~pyflink.dataframe.DataType` class provides factory methods for creating data types
used in schema definitions, UDF return types, and other type specifications in the DataFrame API.

Example:
::

    >>> from pyflink.dataframe import DataType
    >>> schema = {"id": DataType.int64(), "name": DataType.string(), "score": DataType.float64()}

.. currentmodule:: pyflink.dataframe.datatype

.. autosummary::
    :toctree: api/

    DataType
    DataType.not_null
    DataType.nullable
    DataType.int8
    DataType.int16
    DataType.int32
    DataType.int64
    DataType.float32
    DataType.float64
    DataType.decimal
    DataType.string
    DataType.fixed_size_string
    DataType.variant
    DataType.binary
    DataType.fixed_size_binary
    DataType.null
    DataType.bool
    DataType.date
    DataType.time
    DataType.timestamp
    DataType.timestamp_ltz
    DataType.list
    DataType.map
    DataType.struct
    DataType.tensor