diff --git a/_sources/autoapi/datafusion/index.rst.txt b/_sources/autoapi/datafusion/index.rst.txt
index 8e69ce1..8231801 100644
--- a/_sources/autoapi/datafusion/index.rst.txt
+++ b/_sources/autoapi/datafusion/index.rst.txt
@@ -78,10 +78,6 @@
    datafusion.DFSchema
    datafusion.col
    datafusion.column
-   datafusion.udaf
-   datafusion.udf
-   datafusion.udtf
-   datafusion.udwf
 
 
 Classes
@@ -89,8 +85,6 @@
 
 .. autoapisummary::
 
-   datafusion.Accumulator
-   datafusion.AggregateUDF
    datafusion.Catalog
    datafusion.CsvReadOptions
    datafusion.DataFrameWriteOptions
@@ -107,14 +101,11 @@
    datafusion.RecordBatchStream
    datafusion.RuntimeEnvBuilder
    datafusion.SQLOptions
-   datafusion.ScalarUDF
    datafusion.SessionConfig
    datafusion.Table
-   datafusion.TableFunction
    datafusion.TableProviderFactory
    datafusion.TableProviderFactoryExportable
    datafusion.WindowFrame
-   datafusion.WindowUDF
 
 
 Functions
@@ -134,226 +125,6 @@
 Package Contents
 ----------------
 
-.. py:class:: Accumulator
-
-   Defines how an :py:class:`AggregateUDF` accumulates values.
-
-
-   .. py:method:: evaluate() -> pyarrow.Scalar
-      :abstractmethod:
-
-
-      Return the resultant value.
-
-      While this function template expects a PyArrow Scalar value return type,
-      you can return any value that can be converted into a Scalar. This
-      includes basic Python data types such as integers and strings. In
-      addition to primitive types, we currently support PyArrow, nanoarrow,
-      and arro3 objects in addition to primitive data types. Other objects
-      that support the Arrow FFI standard will be given a "best attempt" at
-      conversion to scalar objects.
-
-
-
-   .. py:method:: merge(states: list[pyarrow.Array]) -> None
-      :abstractmethod:
-
-
-      Merge a set of states.
-
-
-
-   .. py:method:: state() -> list[pyarrow.Scalar]
-      :abstractmethod:
-
-
-      Return the current state.
-
-      While this function template expects PyArrow Scalar values return type,
-      you can return any value that can be converted into a Scalar. This
-      includes basic Python data types such as integers and strings. In
-      addition to primitive types, we currently support PyArrow, nanoarrow,
-      and arro3 objects in addition to primitive data types. Other objects
-      that support the Arrow FFI standard will be given a "best attempt" at
-      conversion to scalar objects.
-
-
-
-   .. py:method:: update(*values: pyarrow.Array) -> None
-      :abstractmethod:
-
-
-      Evaluate an array of values and update state.
-
-
-
-.. py:class:: AggregateUDF(name: str, accumulator: collections.abc.Callable[[], Accumulator], input_types: list[pyarrow.DataType], return_type: pyarrow.DataType, state_type: list[pyarrow.DataType], volatility: Volatility | str)
-              AggregateUDF(name: str, accumulator: AggregateUDFExportable, input_types: None = ..., return_type: None = ..., state_type: None = ..., volatility: None = ...)
-
-   Class for performing scalar user-defined functions (UDF).
-
-   Aggregate UDFs operate on a group of rows and return a single value. See
-   also :py:class:`ScalarUDF` for operating on a row by row basis.
-
-   Instantiate a user-defined aggregate function (UDAF).
-
-   See :py:func:`udaf` for a convenience function and argument
-   descriptions.
-
-
-   .. py:method:: __call__(*args: datafusion.expr.Expr) -> datafusion.expr.Expr
-
-      Execute the UDAF.
-
-      This function is not typically called by an end user. These calls will
-      occur during the evaluation of the dataframe.
-
-
-
-   .. py:method:: __repr__() -> str
-
-      Print a string representation of the Aggregate UDF.
-
-
-
-   .. py:method:: _from_internal(internal: datafusion._internal.AggregateUDF) -> AggregateUDF
-      :classmethod:
-
-
-      Wrap an already-constructed internal ``AggregateUDF`` handle.
-
-      Used by :py:meth:`SessionContext.udaf` to surface a function looked
-      up from the session's function registry without re-running
-      :py:meth:`__init__`.
-
-
-
-   .. py:method:: from_pycapsule(func: AggregateUDFExportable | _typeshed.CapsuleType) -> AggregateUDF
-      :staticmethod:
-
-
-      Create an Aggregate UDF from AggregateUDF PyCapsule object.
-
-      This function will instantiate a Aggregate UDF that uses a DataFusion
-      AggregateUDF that is exported via the FFI bindings.
-
-
-
-   .. py:method:: udaf(input_types: pyarrow.DataType | list[pyarrow.DataType], return_type: pyarrow.DataType, state_type: list[pyarrow.DataType], volatility: Volatility | str, name: str | None = None) -> collections.abc.Callable[Ellipsis, AggregateUDF]
-                  udaf(accum: collections.abc.Callable[[], Accumulator], input_types: pyarrow.DataType | list[pyarrow.DataType], return_type: pyarrow.DataType, state_type: list[pyarrow.DataType], volatility: Volatility | str, name: str | None = None) -> AggregateUDF
-                  udaf(accum: AggregateUDFExportable) -> AggregateUDF
-                  udaf(accum: _typeshed.CapsuleType) -> AggregateUDF
-      :staticmethod:
-
-
-      Create a new User-Defined Aggregate Function (UDAF).
-
-      This class allows you to define an aggregate function that can be used in
-      data aggregation or window function calls.
-
-      Usage:
-          - As a function: ``udaf(accum, input_types, return_type, state_type, volatility, name)``.
-          - As a decorator: ``@udaf(input_types, return_type, state_type, volatility, name)``.
-            When using ``udaf`` as a decorator, do not pass ``accum`` explicitly.
-
-      If your :py:class:`Accumulator` can be instantiated with no arguments, you
-      can simply pass its type as ``accum``. If you need to pass additional
-      arguments to its constructor, you can define a lambda or a factory method.
-      During runtime the :py:class:`Accumulator` will be constructed for every
-      instance in which this UDAF is used.
-
-      .. rubric:: Examples
-
-      >>> import pyarrow.compute as pc
-      >>> from datafusion.user_defined import AggregateUDF, Accumulator, udaf
-      >>> class Summarize(Accumulator):
-      ...     def __init__(self, bias: float = 0.0):
-      ...         self._sum = pa.scalar(bias)
-      ...     def state(self):
-      ...         return [self._sum]
-      ...     def update(self, values):
-      ...         self._sum = pa.scalar(
-      ...             self._sum.as_py() + pc.sum(values).as_py())
-      ...     def merge(self, states):
-      ...         self._sum = pa.scalar(
-      ...             self._sum.as_py() + pc.sum(states[0]).as_py())
-      ...     def evaluate(self):
-      ...         return self._sum
-
-      Using ``udaf`` as a function:
-
-      >>> udaf1 = AggregateUDF.udaf(
-      ...     Summarize, pa.float64(), pa.float64(),
-      ...     [pa.float64()], "immutable")
-
-      Wrapping ``udaf`` with a function:
-
-      >>> def sum_bias_10() -> Summarize:
-      ...     return Summarize(10.0)
-      >>> udaf2 = udaf(sum_bias_10, pa.float64(), pa.float64(), [pa.float64()],
-      ...     "immutable")
-
-      Using ``udaf`` with lambda:
-
-      >>> udaf3 = udaf(lambda: Summarize(20.0), pa.float64(), pa.float64(),
-      ...     [pa.float64()], "immutable")
-
-      Using ``udaf`` as a decorator:
-
-      >>> @AggregateUDF.udaf(
-      ...     pa.float64(), pa.float64(),
-      ...     [pa.float64()], "immutable")
-      ... def udaf4():
-      ...     return Summarize(10.0)
-
-      Apply to a dataframe:
-
-      >>> ctx = dfn.SessionContext()
-      >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0]})
-      >>> df.aggregate([], [udaf1(col("a")).alias("total")]).collect_column(
-      ...     "total")[0].as_py()
-      6.0
-      >>> df.aggregate([], [udaf2(col("a")).alias("total")]).collect_column(
-      ...     "total")[0].as_py()
-      16.0
-      >>> df.aggregate([], [udaf3(col("a")).alias("total")]).collect_column(
-      ...     "total")[0].as_py()
-      26.0
-      >>> df.aggregate([], [udaf4(col("a")).alias("total")]).collect_column(
-      ...     "total")[0].as_py()
-      16.0
-
-      :param accum: The accumulator python function. Only needed when calling as a
-                    function. Skip this argument when using ``udaf`` as a decorator.
-                    If you have a Rust backed AggregateUDF within a PyCapsule, you can
-                    pass this parameter and ignore the rest. They will be determined
-                    directly from the underlying function. See the online documentation
-                    for more information.
-      :param input_types: The data types of the arguments to ``accum``.
-      :param return_type: The data type of the return value.
-      :param state_type: The data types of the intermediate accumulation.
-      :param volatility: See :py:class:`Volatility` for allowed values.
-      :param name: A descriptive name for the function.
-
-      :returns: A user-defined aggregate function, which can be used in either data
-                aggregation or window function calls.
-
-
-
-   .. py:attribute:: _udaf
-
-
-   .. py:property:: name
-      :type: str
-
-
-      Return the registered name of this UDAF.
-
-      For UDAFs imported via the FFI capsule protocol, this is the
-      name the capsule itself reports — not the ``name`` argument
-      passed to the constructor (which is ignored on the FFI path).
-
-
 .. py:class:: Catalog(catalog: datafusion._internal.catalog.RawCatalog)
 
    DataFusion data catalog.
@@ -2606,153 +2377,6 @@
    .. py:attribute:: options_internal
 
 
-.. py:class:: ScalarUDF(name: str, func: collections.abc.Callable[Ellipsis, _R], input_fields: list[pyarrow.Field], return_field: pyarrow.Field, volatility: Volatility | str)
-
-   Class for performing scalar user-defined functions (UDF).
-
-   Scalar UDFs operate on a row by row basis. See also :py:class:`AggregateUDF` for
-   operating on a group of rows.
-
-   Instantiate a scalar user-defined function (UDF).
-
-   See helper method :py:func:`udf` for argument details.
-
-
-   .. py:method:: __call__(*args: datafusion.expr.Expr) -> datafusion.expr.Expr
-
-      Execute the UDF.
-
-      This function is not typically called by an end user. These calls will
-      occur during the evaluation of the dataframe.
-
-
-
-   .. py:method:: __repr__() -> str
-
-      Print a string representation of the Scalar UDF.
-
-
-
-   .. py:method:: _from_internal(internal: datafusion._internal.ScalarUDF) -> ScalarUDF
-      :classmethod:
-
-
-      Wrap an already-constructed internal ``ScalarUDF`` handle.
-
-      Used by :py:meth:`SessionContext.udf` to surface a function looked
-      up from the session's function registry without re-running
-      :py:meth:`__init__`.
-
-
-
-   .. py:method:: from_pycapsule(func: ScalarUDFExportable) -> ScalarUDF
-      :staticmethod:
-
-
-      Create a Scalar UDF from ScalarUDF PyCapsule object.
-
-      This function will instantiate a Scalar UDF that uses a DataFusion
-      ScalarUDF that is exported via the FFI bindings.
-
-
-
-   .. py:method:: udf(input_fields: collections.abc.Sequence[pyarrow.DataType | pyarrow.Field] | pyarrow.DataType | pyarrow.Field, return_field: pyarrow.DataType | pyarrow.Field, volatility: Volatility | str, name: str | None = None) -> collections.abc.Callable[Ellipsis, ScalarUDF]
-                  udf(func: collections.abc.Callable[Ellipsis, _R], input_fields: collections.abc.Sequence[pyarrow.DataType | pyarrow.Field] | pyarrow.DataType | pyarrow.Field, return_field: pyarrow.DataType | pyarrow.Field, volatility: Volatility | str, name: str | None = None) -> ScalarUDF
-                  udf(func: ScalarUDFExportable) -> ScalarUDF
-      :staticmethod:
-
-
-      Create a new User-Defined Function (UDF).
-
-      This class can be used both as either a function or a decorator.
-
-      Usage:
-          - As a function: ``udf(func, input_fields, return_field,
-            volatility, name)``.
-          - As a decorator: ``@udf(input_fields, return_field, volatility, name)``.
-            When used a decorator, do **not** pass ``func`` explicitly.
-
-      In lieu of passing a PyArrow Field, you can pass a DataType for simplicity.
-      When you do so, it will be assumed that the nullability of the inputs and
-      output are True and that they have no metadata.
-
-      :param func: Only needed when calling as a function.
-                   Skip this argument when using `udf` as a decorator. If you have a Rust
-                   backed ScalarUDF within a PyCapsule, you can pass this parameter
-                   and ignore the rest. They will be determined directly from the
-                   underlying function. See the online documentation for more information.
-      :type func: Callable, optional
-      :param input_fields: The data types or Fields
-                           of the arguments to ``func``. This list must be of the same length
-                           as the number of arguments.
-      :type input_fields: list[pa.Field | pa.DataType]
-      :param return_field: The field of the return value from the function.
-      :type return_field: _R
-      :param volatility: See `Volatility` for allowed values.
-      :type volatility: Volatility | str
-      :param name: A descriptive name for the function.
-      :type name: Optional[str]
-
-      :returns: A user-defined function that can be used in SQL expressions,
-                data aggregation, or window function calls.
-
-      .. rubric:: Examples
-
-      Using ``udf`` as a function:
-
-      >>> import pyarrow.compute as pc
-      >>> from datafusion.user_defined import ScalarUDF
-      >>> def double_func(x):
-      ...     return pc.multiply(x, 2)
-      >>> double_udf = ScalarUDF.udf(
-      ...     double_func, [pa.int64()], pa.int64(),
-      ...     "volatile", "double_it")
-
-      Using ``udf`` as a decorator:
-
-      >>> @ScalarUDF.udf([pa.int64()], pa.int64(), "volatile")
-      ... def decorator_double_udf(x):
-      ...     return pc.multiply(x, 3)
-
-      Apply to a dataframe:
-
-      >>> ctx = dfn.SessionContext()
-      >>> df = ctx.from_pydict({"x": [1, 2, 3]})
-      >>> df.select(double_udf(col("x")).alias("result")).to_pydict()
-      {'result': [2, 4, 6]}
-      >>> df.select(decorator_double_udf(col("x")).alias("result")).to_pydict()
-      {'result': [3, 6, 9]}
-
-
-
-   .. py:attribute:: _udf
-
-
-   .. py:property:: name
-      :type: str
-
-
-      Return the registered name of this UDF.
-
-      For UDFs imported via the FFI capsule protocol, this is the
-      name the capsule itself reports — not the ``name`` argument
-      passed to the constructor (which is ignored on the FFI path).
-
-      .. rubric:: Examples
-
-      >>> import pyarrow as pa
-      >>> from datafusion import udf
-      >>> double = udf(
-      ...     lambda arr: pa.array([(v.as_py() or 0) * 2 for v in arr]),
-      ...     [pa.int64()],
-      ...     pa.int64(),
-      ...     volatility="immutable",
-      ...     name="double",
-      ... )
-      >>> double.name
-      'double'
-
-
 .. py:class:: SessionConfig(config_options: dict[str, str] | None = None)
 
    Session configuration options.
@@ -2972,81 +2596,6 @@
       Returns the schema associated with this table.
 
 
-.. py:class:: TableFunction(name: str, func: collections.abc.Callable[Ellipsis, Any], ctx: datafusion.SessionContext | None = None, *, with_session: bool = False)
-
-   Class for performing user-defined table functions (UDTF).
-
-   Table functions generate new table providers based on the
-   input expressions.
-
-   Instantiate a user-defined table function (UDTF).
-
-   Set ``with_session=True`` to have the calling
-   :class:`SessionContext` passed as a ``session`` keyword argument
-   on each invocation. Use it inside the callback to look up
-   registered tables, UDFs, or session configuration. When
-   ``with_session`` is ``False`` (the default), ``func`` is invoked
-   with the positional expression arguments only.
-
-   ``with_session=True`` is only supported for pure-Python callables.
-   Passing it together with an FFI-exported table function (one
-   exposing ``__datafusion_table_function__``) raises
-   :class:`TypeError`.
-
-   Registry mutations performed through the injected session (such
-   as registering tables or UDFs) propagate to the caller's
-   :class:`SessionContext` because the registries are shared.
-   Configuration changes do **not** propagate; the wrapper holds
-   its own clone of the session config.
-
-   See :py:func:`udtf` for a convenience function and argument
-   descriptions.
-
-
-   .. py:method:: __call__(*args: datafusion.expr.Expr) -> Any
-
-      Execute the UDTF and return a table provider.
-
-
-
-   .. py:method:: __repr__() -> str
-
-      User printable representation.
-
-
-
-   .. py:method:: _create_table_udf(func: collections.abc.Callable[Ellipsis, Any], name: str, *, with_session: bool = False) -> TableFunction
-      :staticmethod:
-
-
-      Create a TableFunction instance from function arguments.
-
-
-
-   .. py:method:: _create_table_udf_decorator(name: str | None = None, *, with_session: bool = False) -> collections.abc.Callable[[collections.abc.Callable[Ellipsis, Any]], TableFunction]
-      :staticmethod:
-
-
-      Create a decorator for a TableFunction.
-
-
-
-   .. py:method:: udtf(name: str, *, with_session: bool = False) -> collections.abc.Callable[Ellipsis, Any]
-                  udtf(func: collections.abc.Callable[Ellipsis, Any], name: str, *, with_session: bool = False) -> TableFunction
-      :staticmethod:
-
-
-      Create a new User-Defined Table Function (UDTF).
-
-      Pass ``with_session=True`` to have the calling
-      :class:`SessionContext` injected as a ``session`` keyword
-      argument on each invocation.
-
-
-
-   .. py:attribute:: _udtf
-
-
 .. py:class:: TableProviderFactory
 
    Bases: :py:obj:`abc.ABC`
@@ -3118,171 +2667,6 @@
    .. py:attribute:: window_frame
 
 
-.. py:class:: WindowUDF(name: str, func: collections.abc.Callable[[], WindowEvaluator], input_types: list[pyarrow.DataType], return_type: pyarrow.DataType, volatility: Volatility | str)
-
-   Class for performing window user-defined functions (UDF).
-
-   Window UDFs operate on a partition of rows. See
-   also :py:class:`ScalarUDF` for operating on a row by row basis.
-
-   Instantiate a user-defined window function (UDWF).
-
-   See :py:func:`udwf` for a convenience function and argument
-   descriptions.
-
-
-   .. py:method:: __call__(*args: datafusion.expr.Expr) -> datafusion.expr.Expr
-
-      Execute the UDWF.
-
-      This function is not typically called by an end user. These calls will
-      occur during the evaluation of the dataframe.
-
-
-
-   .. py:method:: __repr__() -> str
-
-      Print a string representation of the Window UDF.
-
-
-
-   .. py:method:: _create_window_udf(func: collections.abc.Callable[[], WindowEvaluator], input_types: pyarrow.DataType | list[pyarrow.DataType], return_type: pyarrow.DataType, volatility: Volatility | str, name: str | None = None) -> WindowUDF
-      :staticmethod:
-
-
-      Create a WindowUDF instance from function arguments.
-
-
-
-   .. py:method:: _create_window_udf_decorator(input_types: pyarrow.DataType | list[pyarrow.DataType], return_type: pyarrow.DataType, volatility: Volatility | str, name: str | None = None) -> collections.abc.Callable[[collections.abc.Callable[[], WindowEvaluator]], collections.abc.Callable[Ellipsis, datafusion.expr.Expr]]
-      :staticmethod:
-
-
-      Create a decorator for a WindowUDF.
-
-
-
-   .. py:method:: _from_internal(internal: datafusion._internal.WindowUDF) -> WindowUDF
-      :classmethod:
-
-
-      Wrap an already-constructed internal ``WindowUDF`` handle.
-
-      Used by :py:meth:`SessionContext.udwf` to surface a function looked
-      up from the session's function registry without re-running
-      :py:meth:`__init__`.
-
-
-
-   .. py:method:: _get_default_name(func: collections.abc.Callable) -> str
-      :staticmethod:
-
-
-      Get the default name for a function based on its attributes.
-
-
-
-   .. py:method:: _normalize_input_types(input_types: pyarrow.DataType | list[pyarrow.DataType]) -> list[pyarrow.DataType]
-      :staticmethod:
-
-
-      Convert a single DataType to a list if needed.
-
-
-
-   .. py:method:: from_pycapsule(func: WindowUDFExportable) -> WindowUDF
-      :staticmethod:
-
-
-      Create a Window UDF from WindowUDF PyCapsule object.
-
-      This function will instantiate a Window UDF that uses a DataFusion
-      WindowUDF that is exported via the FFI bindings.
-
-
-
-   .. py:method:: udwf(input_types: pyarrow.DataType | list[pyarrow.DataType], return_type: pyarrow.DataType, volatility: Volatility | str, name: str | None = None) -> collections.abc.Callable[Ellipsis, WindowUDF]
-                  udwf(func: collections.abc.Callable[[], WindowEvaluator], input_types: pyarrow.DataType | list[pyarrow.DataType], return_type: pyarrow.DataType, volatility: Volatility | str, name: str | None = None) -> WindowUDF
-      :staticmethod:
-
-
-      Create a new User-Defined Window Function (UDWF).
-
-      This class can be used both as either a function or a decorator.
-
-      Usage:
-          - As a function: ``udwf(func, input_types, return_type, volatility, name)``.
-          - As a decorator: ``@udwf(input_types, return_type, volatility, name)``.
-            When using ``udwf`` as a decorator, do not pass ``func`` explicitly.
-
-      .. rubric:: Examples
-
-      >>> from datafusion.user_defined import WindowUDF, WindowEvaluator, udwf
-      >>> class BiasedNumbers(WindowEvaluator):
-      ...     def __init__(self, start: int = 0):
-      ...         self.start = start
-      ...     def evaluate_all(self, values, num_rows):
-      ...         return pa.array(
-      ...             [self.start + i for i in range(num_rows)])
-
-      Using ``udwf`` as a function:
-
-      >>> udwf1 = WindowUDF.udwf(
-      ...     BiasedNumbers, pa.int64(), pa.int64(), "immutable")
-      >>> def bias_10() -> BiasedNumbers:
-      ...    return BiasedNumbers(10)
-      >>> udwf2 = udwf(bias_10, pa.int64(), pa.int64(), "immutable")
-      >>> udwf3 = udwf(
-      ...     lambda: BiasedNumbers(20), pa.int64(), pa.int64(), "immutable"
-      ... )
-
-      Using ``udwf`` as a decorator:
-
-      >>> @WindowUDF.udwf(pa.int64(), pa.int64(), "immutable")
-      ... def biased_numbers():
-      ...     return BiasedNumbers(10)
-
-      Apply to a dataframe:
-
-      >>> ctx = dfn.SessionContext()
-      >>> df = ctx.from_pydict({"a": [10, 20, 30]})
-      >>> df.select(udwf1(col("a")).alias("result")).to_pydict()
-      {'result': [0, 1, 2]}
-      >>> df.select(udwf2(col("a")).alias("result")).to_pydict()
-      {'result': [10, 11, 12]}
-      >>> df.select(udwf3(col("a")).alias("result")).to_pydict()
-      {'result': [20, 21, 22]}
-      >>> df.select(biased_numbers(col("a")).alias("result")).to_pydict()
-      {'result': [10, 11, 12]}
-
-      :param func: Only needed when calling as a function. Skip this argument when
-                   using ``udwf`` as a decorator. If you have a Rust backed WindowUDF
-                   within a PyCapsule, you can pass this parameter and ignore the rest.
-                   They will be determined directly from the underlying function. See
-                   the online documentation for more information.
-      :param input_types: The data types of the arguments.
-      :param return_type: The data type of the return value.
-      :param volatility: See :py:class:`Volatility` for allowed values.
-      :param name: A descriptive name for the function.
-
-      :returns: A user-defined window function that can be used in window function calls.
-
-
-
-   .. py:attribute:: _udwf
-
-
-   .. py:property:: name
-      :type: str
-
-
-      Return the registered name of this UDWF.
-
-      For UDWFs imported via the FFI capsule protocol, this is the
-      name the capsule itself reports — not the ``name`` argument
-      passed to the constructor (which is ignored on the FFI path).
-
-
 .. py:function:: configure_formatter(**kwargs: Any) -> None
 
    Configure the global DataFrame HTML formatter.
@@ -3412,11 +2796,3 @@
 .. py:data:: column
    :type:  Col
 
-.. py:data:: udaf
-
-.. py:data:: udf
-
-.. py:data:: udtf
-
-.. py:data:: udwf
-
diff --git a/autoapi/datafusion/index.html b/autoapi/datafusion/index.html
index 2fb16d7..ea812bc 100644
--- a/autoapi/datafusion/index.html
+++ b/autoapi/datafusion/index.html
@@ -563,18 +563,6 @@
 <tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.column" title="datafusion.column"><code class="xref py py-obj docutils literal notranslate"><span class="pre">column</span></code></a></p></td>
 <td><p></p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.udaf" title="datafusion.udaf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">udaf</span></code></a></p></td>
-<td><p></p></td>
-</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.udf" title="datafusion.udf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">udf</span></code></a></p></td>
-<td><p></p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.udtf" title="datafusion.udtf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">udtf</span></code></a></p></td>
-<td><p></p></td>
-</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.udwf" title="datafusion.udwf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">udwf</span></code></a></p></td>
-<td><p></p></td>
-</tr>
 </tbody>
 </table>
 </div>
@@ -583,12 +571,6 @@
 <h2>Classes<a class="headerlink" href="#classes" title="Link to this heading">#</a></h2>
 <div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
 <tbody>
-<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.Accumulator" title="datafusion.Accumulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Accumulator</span></code></a></p></td>
-<td><p>Defines how an <a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><code class="xref py py-class docutils literal notranslate"><span class="pre">AggregateUDF</span></code></a> accumulates values.</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AggregateUDF</span></code></a></p></td>
-<td><p>Class for performing scalar user-defined functions (UDF).</p></td>
-</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.Catalog" title="datafusion.Catalog"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Catalog</span></code></a></p></td>
 <td><p>DataFusion data catalog.</p></td>
 </tr>
@@ -637,18 +619,12 @@
 <tr class="row-even"><td><p><a class="reference internal" href="#datafusion.SQLOptions" title="datafusion.SQLOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SQLOptions</span></code></a></p></td>
 <td><p>Options to be used when performing SQL queries.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScalarUDF</span></code></a></p></td>
-<td><p>Class for performing scalar user-defined functions (UDF).</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.SessionConfig" title="datafusion.SessionConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SessionConfig</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.SessionConfig" title="datafusion.SessionConfig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SessionConfig</span></code></a></p></td>
 <td><p>Session configuration options.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.Table" title="datafusion.Table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Table</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.Table" title="datafusion.Table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Table</span></code></a></p></td>
 <td><p>A DataFusion table.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.TableFunction" title="datafusion.TableFunction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TableFunction</span></code></a></p></td>
-<td><p>Class for performing user-defined table functions (UDTF).</p></td>
-</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.TableProviderFactory" title="datafusion.TableProviderFactory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TableProviderFactory</span></code></a></p></td>
 <td><p>Abstract class for defining a Python based Table Provider Factory.</p></td>
 </tr>
@@ -658,9 +634,6 @@
 <tr class="row-odd"><td><p><a class="reference internal" href="#datafusion.WindowFrame" title="datafusion.WindowFrame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">WindowFrame</span></code></a></p></td>
 <td><p>Defines a window frame for performing window operations.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="#datafusion.WindowUDF" title="datafusion.WindowUDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">WindowUDF</span></code></a></p></td>
-<td><p>Class for performing window user-defined functions (UDF).</p></td>
-</tr>
 </tbody>
 </table>
 </div>
@@ -697,217 +670,6 @@
 <section id="package-contents">
 <h2>Package Contents<a class="headerlink" href="#package-contents" title="Link to this heading">#</a></h2>
 <dl class="py class">
-<dt class="sig sig-object py" id="datafusion.Accumulator">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">Accumulator</span></span><a class="headerlink" href="#datafusion.Accumulator" title="Link to this definition">#</a></dt>
-<dd><p>Defines how an <a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><code class="xref py py-class docutils literal notranslate"><span class="pre">AggregateUDF</span></code></a> accumulates values.</p>
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.Accumulator.evaluate">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">pyarrow.Scalar</span></span></span><a class="headerlink" href="#datafusion.Accumulator.evaluate" title="Link to this definition">#</a></dt>
-<dd><p>Return the resultant value.</p>
-<p>While this function template expects a PyArrow Scalar value return type,
-you can return any value that can be converted into a Scalar. This
-includes basic Python data types such as integers and strings. In
-addition to primitive types, we currently support PyArrow, nanoarrow,
-and arro3 objects in addition to primitive data types. Other objects
-that support the Arrow FFI standard will be given a “best attempt” at
-conversion to scalar objects.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.Accumulator.merge">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">merge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.Array</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#datafusion.Accumulator.merge" title="Link to this definition">#</a></dt>
-<dd><p>Merge a set of states.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.Accumulator.state">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.Scalar</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.Accumulator.state" title="Link to this definition">#</a></dt>
-<dd><p>Return the current state.</p>
-<p>While this function template expects PyArrow Scalar values return type,
-you can return any value that can be converted into a Scalar. This
-includes basic Python data types such as integers and strings. In
-addition to primitive types, we currently support PyArrow, nanoarrow,
-and arro3 objects in addition to primitive data types. Other objects
-that support the Arrow FFI standard will be given a “best attempt” at
-conversion to scalar objects.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.Accumulator.update">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">values</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.Array</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#datafusion.Accumulator.update" title="Link to this definition">#</a></dt>
-<dd><p>Evaluate an array of values and update state.</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">AggregateUDF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accumulator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#datafusion.Accumulator" title="datafusion.Accumulator"><span class="pre">Accumulator</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#datafusion.AggregateUDF" title="Link to this definition">#</a></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">AggregateUDF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">accumulator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.AggregateUDFExportable" title="datafusion.user_defined.AggregateUDFExportable"><span class="pre">AggregateUDFExportable</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">...</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">...</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">...</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">...</span></span></em><span class="sig-paren">)</span></dt>
-<dd><p>Class for performing scalar user-defined functions (UDF).</p>
-<p>Aggregate UDFs operate on a group of rows and return a single value. See
-also <a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><code class="xref py py-class docutils literal notranslate"><span class="pre">ScalarUDF</span></code></a> for operating on a row by row basis.</p>
-<p>Instantiate a user-defined aggregate function (UDAF).</p>
-<p>See <a class="reference internal" href="#datafusion.udaf" title="datafusion.udaf"><code class="xref py py-func docutils literal notranslate"><span class="pre">udaf()</span></code></a> for a convenience function and argument
-descriptions.</p>
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF.__call__">
-<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.AggregateUDF.__call__" title="Link to this definition">#</a></dt>
-<dd><p>Execute the UDAF.</p>
-<p>This function is not typically called by an end user. These calls will
-occur during the evaluation of the dataframe.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF.__repr__">
-<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#datafusion.AggregateUDF.__repr__" title="Link to this definition">#</a></dt>
-<dd><p>Print a string representation of the Aggregate UDF.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF._from_internal">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_from_internal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">internal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion._internal.AggregateUDF</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><span class="pre">AggregateUDF</span></a></span></span><a class="headerlink" href="#datafusion.AggregateUDF._from_internal" title="Link to this definition">#</a></dt>
-<dd><p>Wrap an already-constructed internal <code class="docutils literal notranslate"><span class="pre">AggregateUDF</span></code> handle.</p>
-<p>Used by <code class="xref py py-meth docutils literal notranslate"><span class="pre">SessionContext.udaf()</span></code> to surface a function looked
-up from the session’s function registry without re-running
-<code class="xref py py-meth docutils literal notranslate"><span class="pre">__init__()</span></code>.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF.from_pycapsule">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_pycapsule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.AggregateUDFExportable" title="datafusion.user_defined.AggregateUDFExportable"><span class="pre">AggregateUDFExportable</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">_typeshed.CapsuleType</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><span class="pre">AggregateUDF</span></a></span></span><a class="headerlink" href="#datafusion.AggregateUDF.from_pycapsule" title="Link to this definition">#</a></dt>
-<dd><p>Create an Aggregate UDF from AggregateUDF PyCapsule object.</p>
-<p>This function will instantiate a Aggregate UDF that uses a DataFusion
-AggregateUDF that is exported via the FFI bindings.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF.udaf">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udaf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><span class="pre">AggregateUDF</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.AggregateUDF.udaf" title="Link to this definition">#</a></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udaf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">accum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#datafusion.Accumulator" title="datafusion.Accumulator"><span class="pre">Accumulator</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><span class="pre">AggregateUDF</span></a></span></span></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udaf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">accum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.AggregateUDFExportable" title="datafusion.user_defined.AggregateUDFExportable"><span class="pre">AggregateUDFExportable</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><span class="pre">AggregateUDF</span></a></span></span></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udaf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">accum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">_typeshed.CapsuleType</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><span class="pre">AggregateUDF</span></a></span></span></dt>
-<dd><p>Create a new User-Defined Aggregate Function (UDAF).</p>
-<p>This class allows you to define an aggregate function that can be used in
-data aggregation or window function calls.</p>
-<dl class="simple">
-<dt>Usage:</dt><dd><ul class="simple">
-<li><p>As a function: <code class="docutils literal notranslate"><span class="pre">udaf(accum,</span> <span class="pre">input_types,</span> <span class="pre">return_type,</span> <span class="pre">state_type,</span> <span class="pre">volatility,</span> <span class="pre">name)</span></code>.</p></li>
-<li><p>As a decorator: <code class="docutils literal notranslate"><span class="pre">&#64;udaf(input_types,</span> <span class="pre">return_type,</span> <span class="pre">state_type,</span> <span class="pre">volatility,</span> <span class="pre">name)</span></code>.
-When using <code class="docutils literal notranslate"><span class="pre">udaf</span></code> as a decorator, do not pass <code class="docutils literal notranslate"><span class="pre">accum</span></code> explicitly.</p></li>
-</ul>
-</dd>
-</dl>
-<p>If your <a class="reference internal" href="#datafusion.Accumulator" title="datafusion.Accumulator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Accumulator</span></code></a> can be instantiated with no arguments, you
-can simply pass its type as <code class="docutils literal notranslate"><span class="pre">accum</span></code>. If you need to pass additional
-arguments to its constructor, you can define a lambda or a factory method.
-During runtime the <a class="reference internal" href="#datafusion.Accumulator" title="datafusion.Accumulator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Accumulator</span></code></a> will be constructed for every
-instance in which this UDAF is used.</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow.compute</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pc</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datafusion.user_defined</span><span class="w"> </span><span class="kn">import</span> <span class="n">AggregateUDF</span><span class="p">,</span> <span class="n">Accumulator</span><span class="p">,</span> <span class="n">udaf</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">Summarize</span><span class="p">(</span><span class="n">Accumulator</span><span class="p">):</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">bias</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="bp">self</span><span class="o">.</span><span class="n">_sum</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">bias</span><span class="p">)</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="nf">state</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_sum</span><span class="p">]</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="nf">update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">values</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="bp">self</span><span class="o">.</span><span class="n">_sum</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span>
-<span class="gp">... </span>            <span class="bp">self</span><span class="o">.</span><span class="n">_sum</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span> <span class="o">+</span> <span class="n">pc</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">values</span><span class="p">)</span><span class="o">.</span><span class="n">as_py</span><span class="p">())</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="nf">merge</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">states</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="bp">self</span><span class="o">.</span><span class="n">_sum</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span>
-<span class="gp">... </span>            <span class="bp">self</span><span class="o">.</span><span class="n">_sum</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span> <span class="o">+</span> <span class="n">pc</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">states</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">as_py</span><span class="p">())</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sum</span>
-</pre></div>
-</div>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udaf</span></code> as a function:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">udaf1</span> <span class="o">=</span> <span class="n">AggregateUDF</span><span class="o">.</span><span class="n">udaf</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="n">Summarize</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span>
-<span class="gp">... </span>    <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">()],</span> <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Wrapping <code class="docutils literal notranslate"><span class="pre">udaf</span></code> with a function:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">def</span><span class="w"> </span><span class="nf">sum_bias_10</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Summarize</span><span class="p">:</span>
-<span class="gp">... </span>    <span class="k">return</span> <span class="n">Summarize</span><span class="p">(</span><span class="mf">10.0</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">udaf2</span> <span class="o">=</span> <span class="n">udaf</span><span class="p">(</span><span class="n">sum_bias_10</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">()],</span>
-<span class="gp">... </span>    <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udaf</span></code> with lambda:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">udaf3</span> <span class="o">=</span> <span class="n">udaf</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">Summarize</span><span class="p">(</span><span class="mf">20.0</span><span class="p">),</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span>
-<span class="gp">... </span>    <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">()],</span> <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udaf</span></code> as a decorator:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nd">@AggregateUDF</span><span class="o">.</span><span class="n">udaf</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">(),</span>
-<span class="gp">... </span>    <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">()],</span> <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-<span class="gp">... </span><span class="k">def</span><span class="w"> </span><span class="nf">udaf4</span><span class="p">():</span>
-<span class="gp">... </span>    <span class="k">return</span> <span class="n">Summarize</span><span class="p">(</span><span class="mf">10.0</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Apply to a dataframe:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;a&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">]})</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">([],</span> <span class="p">[</span><span class="n">udaf1</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;total&quot;</span><span class="p">)])</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="s2">&quot;total&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
-<span class="go">6.0</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">([],</span> <span class="p">[</span><span class="n">udaf2</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;total&quot;</span><span class="p">)])</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="s2">&quot;total&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
-<span class="go">16.0</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">([],</span> <span class="p">[</span><span class="n">udaf3</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;total&quot;</span><span class="p">)])</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="s2">&quot;total&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
-<span class="go">26.0</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">aggregate</span><span class="p">([],</span> <span class="p">[</span><span class="n">udaf4</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;total&quot;</span><span class="p">)])</span><span class="o">.</span><span class="n">collect_column</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="s2">&quot;total&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
-<span class="go">16.0</span>
-</pre></div>
-</div>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>accum</strong> – The accumulator python function. Only needed when calling as a
-function. Skip this argument when using <code class="docutils literal notranslate"><span class="pre">udaf</span></code> as a decorator.
-If you have a Rust backed AggregateUDF within a PyCapsule, you can
-pass this parameter and ignore the rest. They will be determined
-directly from the underlying function. See the online documentation
-for more information.</p></li>
-<li><p><strong>input_types</strong> – The data types of the arguments to <code class="docutils literal notranslate"><span class="pre">accum</span></code>.</p></li>
-<li><p><strong>return_type</strong> – The data type of the return value.</p></li>
-<li><p><strong>state_type</strong> – The data types of the intermediate accumulation.</p></li>
-<li><p><strong>volatility</strong> – See <code class="xref py py-class docutils literal notranslate"><span class="pre">Volatility</span></code> for allowed values.</p></li>
-<li><p><strong>name</strong> – A descriptive name for the function.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>A user-defined aggregate function, which can be used in either data
-aggregation or window function calls.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF._udaf">
-<span class="sig-name descname"><span class="pre">_udaf</span></span><a class="headerlink" href="#datafusion.AggregateUDF._udaf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-<dl class="py property">
-<dt class="sig sig-object py" id="datafusion.AggregateUDF.name">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#datafusion.AggregateUDF.name" title="Link to this definition">#</a></dt>
-<dd><p>Return the registered name of this UDAF.</p>
-<p>For UDAFs imported via the FFI capsule protocol, this is the
-name the capsule itself reports — not the <code class="docutils literal notranslate"><span class="pre">name</span></code> argument
-passed to the constructor (which is ignored on the FFI path).</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
 <dt class="sig sig-object py" id="datafusion.Catalog">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">Catalog</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">catalog</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion._internal.catalog.RawCatalog</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#datafusion.Catalog" title="Link to this definition">#</a></dt>
 <dd><p>DataFusion data catalog.</p>
@@ -3192,145 +2954,6 @@
 </dd></dl>
 
 <dl class="py class">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">ScalarUDF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">_R</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.Field</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_field</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.Field</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#datafusion.ScalarUDF" title="Link to this definition">#</a></dt>
-<dd><p>Class for performing scalar user-defined functions (UDF).</p>
-<p>Scalar UDFs operate on a row by row basis. See also <a class="reference internal" href="#datafusion.AggregateUDF" title="datafusion.AggregateUDF"><code class="xref py py-class docutils literal notranslate"><span class="pre">AggregateUDF</span></code></a> for
-operating on a group of rows.</p>
-<p>Instantiate a scalar user-defined function (UDF).</p>
-<p>See helper method <a class="reference internal" href="#datafusion.udf" title="datafusion.udf"><code class="xref py py-func docutils literal notranslate"><span class="pre">udf()</span></code></a> for argument details.</p>
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF.__call__">
-<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.ScalarUDF.__call__" title="Link to this definition">#</a></dt>
-<dd><p>Execute the UDF.</p>
-<p>This function is not typically called by an end user. These calls will
-occur during the evaluation of the dataframe.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF.__repr__">
-<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#datafusion.ScalarUDF.__repr__" title="Link to this definition">#</a></dt>
-<dd><p>Print a string representation of the Scalar UDF.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF._from_internal">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_from_internal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">internal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion._internal.ScalarUDF</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><span class="pre">ScalarUDF</span></a></span></span><a class="headerlink" href="#datafusion.ScalarUDF._from_internal" title="Link to this definition">#</a></dt>
-<dd><p>Wrap an already-constructed internal <code class="docutils literal notranslate"><span class="pre">ScalarUDF</span></code> handle.</p>
-<p>Used by <code class="xref py py-meth docutils literal notranslate"><span class="pre">SessionContext.udf()</span></code> to surface a function looked
-up from the session’s function registry without re-running
-<code class="xref py py-meth docutils literal notranslate"><span class="pre">__init__()</span></code>.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF.from_pycapsule">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_pycapsule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.ScalarUDFExportable" title="datafusion.user_defined.ScalarUDFExportable"><span class="pre">ScalarUDFExportable</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><span class="pre">ScalarUDF</span></a></span></span><a class="headerlink" href="#datafusion.ScalarUDF.from_pycapsule" title="Link to this definition">#</a></dt>
-<dd><p>Create a Scalar UDF from ScalarUDF PyCapsule object.</p>
-<p>This function will instantiate a Scalar UDF that uses a DataFusion
-ScalarUDF that is exported via the FFI bindings.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF.udf">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.Field</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.Field</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_field</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.Field</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><span class="pre">ScalarUDF</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.ScalarUDF.udf" title="Link to this definition">#</a></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">_R</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_fields</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.Field</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.Field</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_field</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">pyarrow.Field</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><span class="pre">ScalarUDF</span></a></span></span></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.ScalarUDFExportable" title="datafusion.user_defined.ScalarUDFExportable"><span class="pre">ScalarUDFExportable</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><span class="pre">ScalarUDF</span></a></span></span></dt>
-<dd><p>Create a new User-Defined Function (UDF).</p>
-<p>This class can be used both as either a function or a decorator.</p>
-<dl class="simple">
-<dt>Usage:</dt><dd><ul class="simple">
-<li><p>As a function: <code class="docutils literal notranslate"><span class="pre">udf(func,</span> <span class="pre">input_fields,</span> <span class="pre">return_field,</span>
-<span class="pre">volatility,</span> <span class="pre">name)</span></code>.</p></li>
-<li><p>As a decorator: <code class="docutils literal notranslate"><span class="pre">&#64;udf(input_fields,</span> <span class="pre">return_field,</span> <span class="pre">volatility,</span> <span class="pre">name)</span></code>.
-When used a decorator, do <strong>not</strong> pass <code class="docutils literal notranslate"><span class="pre">func</span></code> explicitly.</p></li>
-</ul>
-</dd>
-</dl>
-<p>In lieu of passing a PyArrow Field, you can pass a DataType for simplicity.
-When you do so, it will be assumed that the nullability of the inputs and
-output are True and that they have no metadata.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>func</strong> (<em>Callable</em><em>, </em><em>optional</em>) – Only needed when calling as a function.
-Skip this argument when using <cite>udf</cite> as a decorator. If you have a Rust
-backed ScalarUDF within a PyCapsule, you can pass this parameter
-and ignore the rest. They will be determined directly from the
-underlying function. See the online documentation for more information.</p></li>
-<li><p><strong>input_fields</strong> (<em>list</em><em>[</em><em>pa.Field</em><em> | </em><em>pa.DataType</em><em>]</em>) – The data types or Fields
-of the arguments to <code class="docutils literal notranslate"><span class="pre">func</span></code>. This list must be of the same length
-as the number of arguments.</p></li>
-<li><p><strong>return_field</strong> (<em>_R</em>) – The field of the return value from the function.</p></li>
-<li><p><strong>volatility</strong> (<a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><em>Volatility</em></a><em> | </em><em>str</em>) – See <cite>Volatility</cite> for allowed values.</p></li>
-<li><p><strong>name</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – A descriptive name for the function.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>A user-defined function that can be used in SQL expressions,
-data aggregation, or window function calls.</p>
-</dd>
-</dl>
-<p class="rubric">Examples</p>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udf</span></code> as a function:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow.compute</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pc</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datafusion.user_defined</span><span class="w"> </span><span class="kn">import</span> <span class="n">ScalarUDF</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="k">def</span><span class="w"> </span><span class="nf">double_func</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
-<span class="gp">... </span>    <span class="k">return</span> <span class="n">pc</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">double_udf</span> <span class="o">=</span> <span class="n">ScalarUDF</span><span class="o">.</span><span class="n">udf</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="n">double_func</span><span class="p">,</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()],</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span>
-<span class="gp">... </span>    <span class="s2">&quot;volatile&quot;</span><span class="p">,</span> <span class="s2">&quot;double_it&quot;</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udf</span></code> as a decorator:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nd">@ScalarUDF</span><span class="o">.</span><span class="n">udf</span><span class="p">([</span><span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()],</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="s2">&quot;volatile&quot;</span><span class="p">)</span>
-<span class="gp">... </span><span class="k">def</span><span class="w"> </span><span class="nf">decorator_double_udf</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
-<span class="gp">... </span>    <span class="k">return</span> <span class="n">pc</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Apply to a dataframe:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;x&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]})</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">double_udf</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;x&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;result&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span>
-<span class="go">{&#39;result&#39;: [2, 4, 6]}</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">decorator_double_udf</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;x&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;result&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span>
-<span class="go">{&#39;result&#39;: [3, 6, 9]}</span>
-</pre></div>
-</div>
-</dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF._udf">
-<span class="sig-name descname"><span class="pre">_udf</span></span><a class="headerlink" href="#datafusion.ScalarUDF._udf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-<dl class="py property">
-<dt class="sig sig-object py" id="datafusion.ScalarUDF.name">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#datafusion.ScalarUDF.name" title="Link to this definition">#</a></dt>
-<dd><p>Return the registered name of this UDF.</p>
-<p>For UDFs imported via the FFI capsule protocol, this is the
-name the capsule itself reports — not the <code class="docutils literal notranslate"><span class="pre">name</span></code> argument
-passed to the constructor (which is ignored on the FFI path).</p>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datafusion</span><span class="w"> </span><span class="kn">import</span> <span class="n">udf</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">double</span> <span class="o">=</span> <span class="n">udf</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="k">lambda</span> <span class="n">arr</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([(</span><span class="n">v</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span> <span class="ow">or</span> <span class="mi">0</span><span class="p">)</span> <span class="o">*</span> <span class="mi">2</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">arr</span><span class="p">]),</span>
-<span class="gp">... </span>    <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()],</span>
-<span class="gp">... </span>    <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span>
-<span class="gp">... </span>    <span class="n">volatility</span><span class="o">=</span><span class="s2">&quot;immutable&quot;</span><span class="p">,</span>
-<span class="gp">... </span>    <span class="n">name</span><span class="o">=</span><span class="s2">&quot;double&quot;</span><span class="p">,</span>
-<span class="gp">... </span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">double</span><span class="o">.</span><span class="n">name</span>
-<span class="go">&#39;double&#39;</span>
-</pre></div>
-</div>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
 <dt class="sig sig-object py" id="datafusion.SessionConfig">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">SessionConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config_options</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#datafusion.SessionConfig" title="Link to this definition">#</a></dt>
 <dd><p>Session configuration options.</p>
@@ -3606,72 +3229,6 @@
 </dd></dl>
 
 <dl class="py class">
-<dt class="sig sig-object py" id="datafusion.TableFunction">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">TableFunction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ctx</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion.SessionContext</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_session</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#datafusion.TableFunction" title="Link to this definition">#</a></dt>
-<dd><p>Class for performing user-defined table functions (UDTF).</p>
-<p>Table functions generate new table providers based on the
-input expressions.</p>
-<p>Instantiate a user-defined table function (UDTF).</p>
-<p>Set <code class="docutils literal notranslate"><span class="pre">with_session=True</span></code> to have the calling
-<code class="xref py py-class docutils literal notranslate"><span class="pre">SessionContext</span></code> passed as a <code class="docutils literal notranslate"><span class="pre">session</span></code> keyword argument
-on each invocation. Use it inside the callback to look up
-registered tables, UDFs, or session configuration. When
-<code class="docutils literal notranslate"><span class="pre">with_session</span></code> is <code class="docutils literal notranslate"><span class="pre">False</span></code> (the default), <code class="docutils literal notranslate"><span class="pre">func</span></code> is invoked
-with the positional expression arguments only.</p>
-<p><code class="docutils literal notranslate"><span class="pre">with_session=True</span></code> is only supported for pure-Python callables.
-Passing it together with an FFI-exported table function (one
-exposing <code class="docutils literal notranslate"><span class="pre">__datafusion_table_function__</span></code>) raises
-<code class="xref py py-class docutils literal notranslate"><span class="pre">TypeError</span></code>.</p>
-<p>Registry mutations performed through the injected session (such
-as registering tables or UDFs) propagate to the caller’s
-<code class="xref py py-class docutils literal notranslate"><span class="pre">SessionContext</span></code> because the registries are shared.
-Configuration changes do <strong>not</strong> propagate; the wrapper holds
-its own clone of the session config.</p>
-<p>See <a class="reference internal" href="#datafusion.udtf" title="datafusion.udtf"><code class="xref py py-func docutils literal notranslate"><span class="pre">udtf()</span></code></a> for a convenience function and argument
-descriptions.</p>
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.TableFunction.__call__">
-<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#datafusion.TableFunction.__call__" title="Link to this definition">#</a></dt>
-<dd><p>Execute the UDTF and return a table provider.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.TableFunction.__repr__">
-<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#datafusion.TableFunction.__repr__" title="Link to this definition">#</a></dt>
-<dd><p>User printable representation.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.TableFunction._create_table_udf">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_create_table_udf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_session</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.TableFunction" title="datafusion.TableFunction"><span class="pre">TableFunction</span></a></span></span><a class="headerlink" href="#datafusion.TableFunction._create_table_udf" title="Link to this definition">#</a></dt>
-<dd><p>Create a TableFunction instance from function arguments.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.TableFunction._create_table_udf_decorator">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_create_table_udf_decorator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_session</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#datafusion.TableFunction" title="datafusion.TableFunction"><span class="pre">TableFunction</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.TableFunction._create_table_udf_decorator" title="Link to this definition">#</a></dt>
-<dd><p>Create a decorator for a TableFunction.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.TableFunction.udtf">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udtf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_session</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.TableFunction.udtf" title="Link to this definition">#</a></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udtf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_session</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.TableFunction" title="datafusion.TableFunction"><span class="pre">TableFunction</span></a></span></span></dt>
-<dd><p>Create a new User-Defined Table Function (UDTF).</p>
-<p>Pass <code class="docutils literal notranslate"><span class="pre">with_session=True</span></code> to have the calling
-<code class="xref py py-class docutils literal notranslate"><span class="pre">SessionContext</span></code> injected as a <code class="docutils literal notranslate"><span class="pre">session</span></code> keyword
-argument on each invocation.</p>
-</dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="datafusion.TableFunction._udtf">
-<span class="sig-name descname"><span class="pre">_udtf</span></span><a class="headerlink" href="#datafusion.TableFunction._udtf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
 <dt class="sig sig-object py" id="datafusion.TableProviderFactory">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">TableProviderFactory</span></span><a class="headerlink" href="#datafusion.TableProviderFactory" title="Link to this definition">#</a></dt>
 <dd><p>Bases: <code class="xref py py-obj docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
@@ -3746,161 +3303,6 @@
 
 </dd></dl>
 
-<dl class="py class">
-<dt class="sig sig-object py" id="datafusion.WindowUDF">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">WindowUDF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.WindowEvaluator" title="datafusion.user_defined.WindowEvaluator"><span class="pre">WindowEvaluator</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#datafusion.WindowUDF" title="Link to this definition">#</a></dt>
-<dd><p>Class for performing window user-defined functions (UDF).</p>
-<p>Window UDFs operate on a partition of rows. See
-also <a class="reference internal" href="#datafusion.ScalarUDF" title="datafusion.ScalarUDF"><code class="xref py py-class docutils literal notranslate"><span class="pre">ScalarUDF</span></code></a> for operating on a row by row basis.</p>
-<p>Instantiate a user-defined window function (UDWF).</p>
-<p>See <a class="reference internal" href="#datafusion.udwf" title="datafusion.udwf"><code class="xref py py-func docutils literal notranslate"><span class="pre">udwf()</span></code></a> for a convenience function and argument
-descriptions.</p>
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF.__call__">
-<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a></span></span><a class="headerlink" href="#datafusion.WindowUDF.__call__" title="Link to this definition">#</a></dt>
-<dd><p>Execute the UDWF.</p>
-<p>This function is not typically called by an end user. These calls will
-occur during the evaluation of the dataframe.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF.__repr__">
-<span class="sig-name descname"><span class="pre">__repr__</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#datafusion.WindowUDF.__repr__" title="Link to this definition">#</a></dt>
-<dd><p>Print a string representation of the Window UDF.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF._create_window_udf">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_create_window_udf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.WindowEvaluator" title="datafusion.user_defined.WindowEvaluator"><span class="pre">WindowEvaluator</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.WindowUDF" title="datafusion.WindowUDF"><span class="pre">WindowUDF</span></a></span></span><a class="headerlink" href="#datafusion.WindowUDF._create_window_udf" title="Link to this definition">#</a></dt>
-<dd><p>Create a WindowUDF instance from function arguments.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF._create_window_udf_decorator">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_create_window_udf_decorator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.WindowEvaluator" title="datafusion.user_defined.WindowEvaluator"><span class="pre">WindowEvaluator</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="expr/index.html#datafusion.expr.Expr" title="datafusion.expr.Expr"><span class="pre">datafusion.expr.Expr</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.WindowUDF._create_window_udf_decorator" title="Link to this definition">#</a></dt>
-<dd><p>Create a decorator for a WindowUDF.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF._from_internal">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_from_internal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">internal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">datafusion._internal.WindowUDF</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.WindowUDF" title="datafusion.WindowUDF"><span class="pre">WindowUDF</span></a></span></span><a class="headerlink" href="#datafusion.WindowUDF._from_internal" title="Link to this definition">#</a></dt>
-<dd><p>Wrap an already-constructed internal <code class="docutils literal notranslate"><span class="pre">WindowUDF</span></code> handle.</p>
-<p>Used by <code class="xref py py-meth docutils literal notranslate"><span class="pre">SessionContext.udwf()</span></code> to surface a function looked
-up from the session’s function registry without re-running
-<code class="xref py py-meth docutils literal notranslate"><span class="pre">__init__()</span></code>.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF._get_default_name">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_get_default_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#datafusion.WindowUDF._get_default_name" title="Link to this definition">#</a></dt>
-<dd><p>Get the default name for a function based on its attributes.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF._normalize_input_types">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">_normalize_input_types</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.WindowUDF._normalize_input_types" title="Link to this definition">#</a></dt>
-<dd><p>Convert a single DataType to a list if needed.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF.from_pycapsule">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_pycapsule</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.WindowUDFExportable" title="datafusion.user_defined.WindowUDFExportable"><span class="pre">WindowUDFExportable</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.WindowUDF" title="datafusion.WindowUDF"><span class="pre">WindowUDF</span></a></span></span><a class="headerlink" href="#datafusion.WindowUDF.from_pycapsule" title="Link to this definition">#</a></dt>
-<dd><p>Create a Window UDF from WindowUDF PyCapsule object.</p>
-<p>This function will instantiate a Window UDF that uses a DataFusion
-WindowUDF that is exported via the FFI bindings.</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="datafusion.WindowUDF.udwf">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udwf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="pre">Ellipsis</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="#datafusion.WindowUDF" title="datafusion.WindowUDF"><span class="pre">WindowUDF</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#datafusion.WindowUDF.udwf" title="Link to this definition">#</a></dt>
-<dt class="sig sig-object py">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">udwf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">collections.abc.Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.WindowEvaluator" title="datafusion.user_defined.WindowEvaluator"><span class="pre">WindowEvaluator</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_types</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">pyarrow.DataType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">pyarrow.DataType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">volatility</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="user_defined/index.html#datafusion.user_defined.Volatility" title="datafusion.user_defined.Volatility"><span class="pre">Volatility</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#datafusion.WindowUDF" title="datafusion.WindowUDF"><span class="pre">WindowUDF</span></a></span></span></dt>
-<dd><p>Create a new User-Defined Window Function (UDWF).</p>
-<p>This class can be used both as either a function or a decorator.</p>
-<dl class="simple">
-<dt>Usage:</dt><dd><ul class="simple">
-<li><p>As a function: <code class="docutils literal notranslate"><span class="pre">udwf(func,</span> <span class="pre">input_types,</span> <span class="pre">return_type,</span> <span class="pre">volatility,</span> <span class="pre">name)</span></code>.</p></li>
-<li><p>As a decorator: <code class="docutils literal notranslate"><span class="pre">&#64;udwf(input_types,</span> <span class="pre">return_type,</span> <span class="pre">volatility,</span> <span class="pre">name)</span></code>.
-When using <code class="docutils literal notranslate"><span class="pre">udwf</span></code> as a decorator, do not pass <code class="docutils literal notranslate"><span class="pre">func</span></code> explicitly.</p></li>
-</ul>
-</dd>
-</dl>
-<p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span><span class="w"> </span><span class="nn">datafusion.user_defined</span><span class="w"> </span><span class="kn">import</span> <span class="n">WindowUDF</span><span class="p">,</span> <span class="n">WindowEvaluator</span><span class="p">,</span> <span class="n">udwf</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">BiasedNumbers</span><span class="p">(</span><span class="n">WindowEvaluator</span><span class="p">):</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">start</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="bp">self</span><span class="o">.</span><span class="n">start</span> <span class="o">=</span> <span class="n">start</span>
-<span class="gp">... </span>    <span class="k">def</span><span class="w"> </span><span class="nf">evaluate_all</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">values</span><span class="p">,</span> <span class="n">num_rows</span><span class="p">):</span>
-<span class="gp">... </span>        <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
-<span class="gp">... </span>            <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">start</span> <span class="o">+</span> <span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">num_rows</span><span class="p">)])</span>
-</pre></div>
-</div>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udwf</span></code> as a function:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">udwf1</span> <span class="o">=</span> <span class="n">WindowUDF</span><span class="o">.</span><span class="n">udwf</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="n">BiasedNumbers</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="k">def</span><span class="w"> </span><span class="nf">bias_10</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">BiasedNumbers</span><span class="p">:</span>
-<span class="gp">... </span>   <span class="k">return</span> <span class="n">BiasedNumbers</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">udwf2</span> <span class="o">=</span> <span class="n">udwf</span><span class="p">(</span><span class="n">bias_10</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">udwf3</span> <span class="o">=</span> <span class="n">udwf</span><span class="p">(</span>
-<span class="gp">... </span>    <span class="k">lambda</span><span class="p">:</span> <span class="n">BiasedNumbers</span><span class="p">(</span><span class="mi">20</span><span class="p">),</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="s2">&quot;immutable&quot;</span>
-<span class="gp">... </span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Using <code class="docutils literal notranslate"><span class="pre">udwf</span></code> as a decorator:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nd">@WindowUDF</span><span class="o">.</span><span class="n">udwf</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">(),</span> <span class="s2">&quot;immutable&quot;</span><span class="p">)</span>
-<span class="gp">... </span><span class="k">def</span><span class="w"> </span><span class="nf">biased_numbers</span><span class="p">():</span>
-<span class="gp">... </span>    <span class="k">return</span> <span class="n">BiasedNumbers</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Apply to a dataframe:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">({</span><span class="s2">&quot;a&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">]})</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">udwf1</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;result&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span>
-<span class="go">{&#39;result&#39;: [0, 1, 2]}</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">udwf2</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;result&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span>
-<span class="go">{&#39;result&#39;: [10, 11, 12]}</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">udwf3</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;result&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span>
-<span class="go">{&#39;result&#39;: [20, 21, 22]}</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">select</span><span class="p">(</span><span class="n">biased_numbers</span><span class="p">(</span><span class="n">col</span><span class="p">(</span><span class="s2">&quot;a&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">&quot;result&quot;</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span>
-<span class="go">{&#39;result&#39;: [10, 11, 12]}</span>
-</pre></div>
-</div>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>func</strong> – Only needed when calling as a function. Skip this argument when
-using <code class="docutils literal notranslate"><span class="pre">udwf</span></code> as a decorator. If you have a Rust backed WindowUDF
-within a PyCapsule, you can pass this parameter and ignore the rest.
-They will be determined directly from the underlying function. See
-the online documentation for more information.</p></li>
-<li><p><strong>input_types</strong> – The data types of the arguments.</p></li>
-<li><p><strong>return_type</strong> – The data type of the return value.</p></li>
-<li><p><strong>volatility</strong> – See <code class="xref py py-class docutils literal notranslate"><span class="pre">Volatility</span></code> for allowed values.</p></li>
-<li><p><strong>name</strong> – A descriptive name for the function.</p></li>
-</ul>
-</dd>
-<dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>A user-defined window function that can be used in window function calls.</p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="datafusion.WindowUDF._udwf">
-<span class="sig-name descname"><span class="pre">_udwf</span></span><a class="headerlink" href="#datafusion.WindowUDF._udwf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-<dl class="py property">
-<dt class="sig sig-object py" id="datafusion.WindowUDF.name">
-<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">str</span></em><a class="headerlink" href="#datafusion.WindowUDF.name" title="Link to this definition">#</a></dt>
-<dd><p>Return the registered name of this UDWF.</p>
-<p>For UDWFs imported via the FFI capsule protocol, this is the
-name the capsule itself reports — not the <code class="docutils literal notranslate"><span class="pre">name</span></code> argument
-passed to the constructor (which is ignored on the FFI path).</p>
-</dd></dl>
-
-</dd></dl>
-
 <dl class="py function">
 <dt class="sig sig-object py" id="datafusion.configure_formatter">
 <span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">configure_formatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#datafusion.configure_formatter" title="Link to this definition">#</a></dt>
@@ -4067,26 +3469,6 @@
 <span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">column</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">Col</span></em><a class="headerlink" href="#datafusion.column" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
-<dl class="py data">
-<dt class="sig sig-object py" id="datafusion.udaf">
-<span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">udaf</span></span><a class="headerlink" href="#datafusion.udaf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-<dl class="py data">
-<dt class="sig sig-object py" id="datafusion.udf">
-<span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">udf</span></span><a class="headerlink" href="#datafusion.udf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-<dl class="py data">
-<dt class="sig sig-object py" id="datafusion.udtf">
-<span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">udtf</span></span><a class="headerlink" href="#datafusion.udtf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
-<dl class="py data">
-<dt class="sig sig-object py" id="datafusion.udwf">
-<span class="sig-prename descclassname"><span class="pre">datafusion.</span></span><span class="sig-name descname"><span class="pre">udwf</span></span><a class="headerlink" href="#datafusion.udwf" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
 </section>
 </section>
 
@@ -4144,23 +3526,6 @@
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#classes">Classes</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#functions">Functions</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#package-contents">Package Contents</a><ul class="visible nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Accumulator"><code class="docutils literal notranslate"><span class="pre">Accumulator</span></code></a><ul class="nav section-nav flex-column">
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Accumulator.evaluate"><code class="docutils literal notranslate"><span class="pre">Accumulator.evaluate()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Accumulator.merge"><code class="docutils literal notranslate"><span class="pre">Accumulator.merge()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Accumulator.state"><code class="docutils literal notranslate"><span class="pre">Accumulator.state()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Accumulator.update"><code class="docutils literal notranslate"><span class="pre">Accumulator.update()</span></code></a></li>
-</ul>
-</li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF"><code class="docutils literal notranslate"><span class="pre">AggregateUDF</span></code></a><ul class="nav section-nav flex-column">
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF.__call__"><code class="docutils literal notranslate"><span class="pre">AggregateUDF.__call__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF.__repr__"><code class="docutils literal notranslate"><span class="pre">AggregateUDF.__repr__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF._from_internal"><code class="docutils literal notranslate"><span class="pre">AggregateUDF._from_internal()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF.from_pycapsule"><code class="docutils literal notranslate"><span class="pre">AggregateUDF.from_pycapsule()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF.udaf"><code class="docutils literal notranslate"><span class="pre">AggregateUDF.udaf()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF._udaf"><code class="docutils literal notranslate"><span class="pre">AggregateUDF._udaf</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.AggregateUDF.name"><code class="docutils literal notranslate"><span class="pre">AggregateUDF.name</span></code></a></li>
-</ul>
-</li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Catalog"><code class="docutils literal notranslate"><span class="pre">Catalog</span></code></a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Catalog.__repr__"><code class="docutils literal notranslate"><span class="pre">Catalog.__repr__()</span></code></a></li>
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Catalog.deregister_schema"><code class="docutils literal notranslate"><span class="pre">Catalog.deregister_schema()</span></code></a></li>
@@ -4470,16 +3835,6 @@
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.SQLOptions.options_internal"><code class="docutils literal notranslate"><span class="pre">SQLOptions.options_internal</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF"><code class="docutils literal notranslate"><span class="pre">ScalarUDF</span></code></a><ul class="nav section-nav flex-column">
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF.__call__"><code class="docutils literal notranslate"><span class="pre">ScalarUDF.__call__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF.__repr__"><code class="docutils literal notranslate"><span class="pre">ScalarUDF.__repr__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF._from_internal"><code class="docutils literal notranslate"><span class="pre">ScalarUDF._from_internal()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF.from_pycapsule"><code class="docutils literal notranslate"><span class="pre">ScalarUDF.from_pycapsule()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF.udf"><code class="docutils literal notranslate"><span class="pre">ScalarUDF.udf()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF._udf"><code class="docutils literal notranslate"><span class="pre">ScalarUDF._udf</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.ScalarUDF.name"><code class="docutils literal notranslate"><span class="pre">ScalarUDF.name</span></code></a></li>
-</ul>
-</li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.SessionConfig"><code class="docutils literal notranslate"><span class="pre">SessionConfig</span></code></a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.SessionConfig.set"><code class="docutils literal notranslate"><span class="pre">SessionConfig.set()</span></code></a></li>
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.SessionConfig.with_batch_size"><code class="docutils literal notranslate"><span class="pre">SessionConfig.with_batch_size()</span></code></a></li>
@@ -4507,15 +3862,6 @@
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.Table.schema"><code class="docutils literal notranslate"><span class="pre">Table.schema</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction"><code class="docutils literal notranslate"><span class="pre">TableFunction</span></code></a><ul class="nav section-nav flex-column">
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction.__call__"><code class="docutils literal notranslate"><span class="pre">TableFunction.__call__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction.__repr__"><code class="docutils literal notranslate"><span class="pre">TableFunction.__repr__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction._create_table_udf"><code class="docutils literal notranslate"><span class="pre">TableFunction._create_table_udf()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction._create_table_udf_decorator"><code class="docutils literal notranslate"><span class="pre">TableFunction._create_table_udf_decorator()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction.udtf"><code class="docutils literal notranslate"><span class="pre">TableFunction.udtf()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableFunction._udtf"><code class="docutils literal notranslate"><span class="pre">TableFunction._udtf</span></code></a></li>
-</ul>
-</li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableProviderFactory"><code class="docutils literal notranslate"><span class="pre">TableProviderFactory</span></code></a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.TableProviderFactory.create"><code class="docutils literal notranslate"><span class="pre">TableProviderFactory.create()</span></code></a></li>
 </ul>
@@ -4532,20 +3878,6 @@
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowFrame.window_frame"><code class="docutils literal notranslate"><span class="pre">WindowFrame.window_frame</span></code></a></li>
 </ul>
 </li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF"><code class="docutils literal notranslate"><span class="pre">WindowUDF</span></code></a><ul class="nav section-nav flex-column">
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF.__call__"><code class="docutils literal notranslate"><span class="pre">WindowUDF.__call__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF.__repr__"><code class="docutils literal notranslate"><span class="pre">WindowUDF.__repr__()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF._create_window_udf"><code class="docutils literal notranslate"><span class="pre">WindowUDF._create_window_udf()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF._create_window_udf_decorator"><code class="docutils literal notranslate"><span class="pre">WindowUDF._create_window_udf_decorator()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF._from_internal"><code class="docutils literal notranslate"><span class="pre">WindowUDF._from_internal()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF._get_default_name"><code class="docutils literal notranslate"><span class="pre">WindowUDF._get_default_name()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF._normalize_input_types"><code class="docutils literal notranslate"><span class="pre">WindowUDF._normalize_input_types()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF.from_pycapsule"><code class="docutils literal notranslate"><span class="pre">WindowUDF.from_pycapsule()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF.udwf"><code class="docutils literal notranslate"><span class="pre">WindowUDF.udwf()</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF._udwf"><code class="docutils literal notranslate"><span class="pre">WindowUDF._udwf</span></code></a></li>
-<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.WindowUDF.name"><code class="docutils literal notranslate"><span class="pre">WindowUDF.name</span></code></a></li>
-</ul>
-</li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.configure_formatter"><code class="docutils literal notranslate"><span class="pre">configure_formatter()</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.lit"><code class="docutils literal notranslate"><span class="pre">lit()</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.literal"><code class="docutils literal notranslate"><span class="pre">literal()</span></code></a></li>
@@ -4556,10 +3888,6 @@
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.DFSchema"><code class="docutils literal notranslate"><span class="pre">DFSchema</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.col"><code class="docutils literal notranslate"><span class="pre">col</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.column"><code class="docutils literal notranslate"><span class="pre">column</span></code></a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.udaf"><code class="docutils literal notranslate"><span class="pre">udaf</span></code></a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.udf"><code class="docutils literal notranslate"><span class="pre">udf</span></code></a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.udtf"><code class="docutils literal notranslate"><span class="pre">udtf</span></code></a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#datafusion.udwf"><code class="docutils literal notranslate"><span class="pre">udwf</span></code></a></li>
 </ul>
 </li>
 </ul>
diff --git a/genindex.html b/genindex.html
index 2938d80..a3c1144 100644
--- a/genindex.html
+++ b/genindex.html
@@ -530,15 +530,9 @@
         <li><a href="autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.__arrow_c_stream__">(datafusion.dataframe.DataFrame method)</a>
 </li>
       </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.__call__">__call__() (datafusion.AggregateUDF method)</a>
+      <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.CellFormatter.__call__">__call__() (datafusion.dataframe_formatter.CellFormatter method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.CellFormatter.__call__">(datafusion.dataframe_formatter.CellFormatter method)</a>
-</li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF.__call__">(datafusion.ScalarUDF method)</a>
-</li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction.__call__">(datafusion.TableFunction method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF.__call__">(datafusion.user_defined.AggregateUDF method)</a>
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF.__call__">(datafusion.user_defined.ScalarUDF method)</a>
@@ -547,8 +541,6 @@
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF.__call__">(datafusion.user_defined.WindowUDF method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF.__call__">(datafusion.WindowUDF method)</a>
-</li>
       </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDFExportable.__datafusion_aggregate_udf__">__datafusion_aggregate_udf__() (datafusion.user_defined.AggregateUDFExportable method)</a>
 </li>
@@ -680,11 +672,9 @@
         <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.Expr.__reduce__">(datafusion.expr.Expr method)</a>
 </li>
       </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.__repr__">__repr__() (datafusion.AggregateUDF method)</a>
+      <li><a href="autoapi/datafusion/index.html#datafusion.Catalog.__repr__">__repr__() (datafusion.Catalog method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.Catalog.__repr__">(datafusion.Catalog method)</a>
-</li>
         <li><a href="autoapi/datafusion/catalog/index.html#datafusion.catalog.Catalog.__repr__">(datafusion.catalog.Catalog method)</a>
 </li>
         <li><a href="autoapi/datafusion/catalog/index.html#datafusion.catalog.CatalogList.__repr__">(datafusion.catalog.CatalogList method)</a>
@@ -721,12 +711,8 @@
 </li>
         <li><a href="autoapi/datafusion/plan/index.html#datafusion.plan.MetricsSet.__repr__">(datafusion.plan.MetricsSet method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF.__repr__">(datafusion.ScalarUDF method)</a>
-</li>
         <li><a href="autoapi/datafusion/index.html#datafusion.Table.__repr__">(datafusion.Table method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction.__repr__">(datafusion.TableFunction method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF.__repr__">(datafusion.user_defined.AggregateUDF method)</a>
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF.__repr__">(datafusion.user_defined.ScalarUDF method)</a>
@@ -737,8 +723,6 @@
 </li>
         <li><a href="autoapi/datafusion/index.html#datafusion.WindowFrame.__repr__">(datafusion.WindowFrame method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF.__repr__">(datafusion.WindowUDF method)</a>
-</li>
       </ul></li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
@@ -816,30 +800,14 @@
 </li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext._convert_table_partition_cols">_convert_table_partition_cols() (datafusion.context.SessionContext static method)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction._create_table_udf">_create_table_udf() (datafusion.TableFunction static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._create_table_udf">(datafusion.user_defined.TableFunction static method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._create_table_udf">_create_table_udf() (datafusion.user_defined.TableFunction static method)</a>
 </li>
-      </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction._create_table_udf_decorator">_create_table_udf_decorator() (datafusion.TableFunction static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._create_table_udf_decorator">(datafusion.user_defined.TableFunction static method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._create_table_udf_decorator">_create_table_udf_decorator() (datafusion.user_defined.TableFunction static method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF._create_window_udf">_create_window_udf() (datafusion.user_defined.WindowUDF static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF._create_window_udf">(datafusion.WindowUDF static method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF._create_window_udf_decorator">_create_window_udf_decorator() (datafusion.user_defined.WindowUDF static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF._create_window_udf_decorator">(datafusion.WindowUDF static method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._custom_cell_builder">_custom_cell_builder (datafusion.dataframe_formatter.DataFrameHtmlFormatter attribute)</a>
 </li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._custom_header_builder">_custom_header_builder (datafusion.dataframe_formatter.DataFrameHtmlFormatter attribute)</a>
@@ -848,30 +816,20 @@
 </li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._format_cell_value">_format_cell_value() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF._from_internal">_from_internal() (datafusion.AggregateUDF class method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF._from_internal">_from_internal() (datafusion.user_defined.AggregateUDF class method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF._from_internal">(datafusion.ScalarUDF class method)</a>
-</li>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF._from_internal">(datafusion.user_defined.AggregateUDF class method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF._from_internal">(datafusion.user_defined.ScalarUDF class method)</a>
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF._from_internal">(datafusion.user_defined.WindowUDF class method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF._from_internal">(datafusion.WindowUDF class method)</a>
-</li>
       </ul></li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._get_cell_value">_get_cell_value() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
 </li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._get_default_css">_get_default_css() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
 </li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF._get_default_name">_get_default_name() (datafusion.user_defined.WindowUDF static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF._get_default_name">(datafusion.WindowUDF static method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._get_javascript">_get_javascript() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
 </li>
       <li><a href="autoapi/datafusion/catalog/index.html#datafusion.catalog.Table._inner">_inner (datafusion.catalog.Table attribute)</a>
@@ -885,11 +843,7 @@
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._max_rows">_max_rows (datafusion.dataframe_formatter.DataFrameHtmlFormatter attribute)</a>
 </li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF._normalize_input_types">_normalize_input_types() (datafusion.user_defined.WindowUDF static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF._normalize_input_types">(datafusion.WindowUDF static method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.Window._null_treatment">_null_treatment (datafusion.expr.Window attribute)</a>
 </li>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.Window._order_by">_order_by (datafusion.expr.Window attribute)</a>
@@ -944,30 +898,14 @@
       </ul></li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter._type_formatters">_type_formatters (datafusion.dataframe_formatter.DataFrameHtmlFormatter attribute)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF._udaf">_udaf (datafusion.AggregateUDF attribute)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF._udaf">(datafusion.user_defined.AggregateUDF attribute)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF._udaf">_udaf (datafusion.user_defined.AggregateUDF attribute)</a>
 </li>
-      </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF._udf">_udf (datafusion.ScalarUDF attribute)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF._udf">(datafusion.user_defined.ScalarUDF attribute)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF._udf">_udf (datafusion.user_defined.ScalarUDF attribute)</a>
 </li>
-      </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction._udtf">_udtf (datafusion.TableFunction attribute)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._udtf">(datafusion.user_defined.TableFunction attribute)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._udtf">_udtf (datafusion.user_defined.TableFunction attribute)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF._udwf">_udwf (datafusion.user_defined.WindowUDF attribute)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF._udwf">(datafusion.WindowUDF attribute)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter._validate_bool">_validate_bool() (in module datafusion.dataframe_formatter)</a>
 </li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter._validate_formatter_parameters">_validate_formatter_parameters() (in module datafusion.dataframe_formatter)</a>
@@ -994,12 +932,8 @@
         <li><a href="autoapi/datafusion/functions/spark/index.html#datafusion.functions.spark.abs">(in module datafusion.functions.spark)</a>
 </li>
       </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.Accumulator">Accumulator (class in datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator">(class in datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator">Accumulator (class in datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/index.html#datafusion.Expr.acos">acos() (datafusion.Expr method)</a>
 
       <ul>
@@ -1026,12 +960,8 @@
 </li>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.AggregateFunction">AggregateFunction (in module datafusion.expr)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF">AggregateUDF (class in datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF">(class in datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF">AggregateUDF (class in datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDFExportable">AggregateUDFExportable (class in datafusion.user_defined)</a>
 </li>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.Alias">Alias (in module datafusion.expr)</a>
@@ -1142,10 +1072,10 @@
 </li>
       <li><a href="autoapi/datafusion/functions/index.html#datafusion.functions.array_intersect">array_intersect() (in module datafusion.functions)</a>
 </li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/functions/index.html#datafusion.functions.array_join">array_join() (in module datafusion.functions)</a>
 </li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/index.html#datafusion.Expr.array_length">array_length() (datafusion.Expr method)</a>
 
       <ul>
@@ -2156,11 +2086,9 @@
         <li><a href="autoapi/datafusion/options/index.html#datafusion.options.CsvReadOptions.escape">(datafusion.options.CsvReadOptions attribute)</a>
 </li>
       </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.Accumulator.evaluate">evaluate() (datafusion.Accumulator method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.evaluate">evaluate() (datafusion.user_defined.Accumulator method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.evaluate">(datafusion.user_defined.Accumulator method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowEvaluator.evaluate">(datafusion.user_defined.WindowEvaluator method)</a>
 </li>
       </ul></li>
@@ -2318,10 +2246,10 @@
       </ul></li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter.format_html">format_html() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
 </li>
-      <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter.format_str">format_str() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
-</li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.DataFrameHtmlFormatter.format_str">format_str() (datafusion.dataframe_formatter.DataFrameHtmlFormatter method)</a>
+</li>
       <li><a href="autoapi/datafusion/functions/spark/index.html#datafusion.functions.spark.format_string">format_string() (in module datafusion.functions.spark)</a>
 </li>
       <li><a href="autoapi/datafusion/dataframe_formatter/index.html#datafusion.dataframe_formatter.FormatterManager">FormatterManager (class in datafusion.dataframe_formatter)</a>
@@ -2366,19 +2294,13 @@
         <li><a href="autoapi/datafusion/plan/index.html#datafusion.plan.LogicalPlan.from_proto">(datafusion.plan.LogicalPlan static method)</a>
 </li>
       </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.from_pycapsule">from_pycapsule() (datafusion.AggregateUDF static method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF.from_pycapsule">from_pycapsule() (datafusion.user_defined.AggregateUDF static method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF.from_pycapsule">(datafusion.ScalarUDF static method)</a>
-</li>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF.from_pycapsule">(datafusion.user_defined.AggregateUDF static method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF.from_pycapsule">(datafusion.user_defined.ScalarUDF static method)</a>
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF.from_pycapsule">(datafusion.user_defined.WindowUDF static method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF.from_pycapsule">(datafusion.WindowUDF static method)</a>
-</li>
       </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.from_pydict">from_pydict() (datafusion.context.SessionContext method)</a>
 </li>
@@ -3014,12 +2936,8 @@
 </li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="autoapi/datafusion/index.html#datafusion.Accumulator.merge">merge() (datafusion.Accumulator method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.merge">(datafusion.user_defined.Accumulator method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.merge">merge() (datafusion.user_defined.Accumulator method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/index.html#datafusion.Metric">Metric (class in datafusion)</a>
 
       <ul>
@@ -3105,23 +3023,17 @@
 <h2 id="N">N</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.name">name (datafusion.AggregateUDF property)</a>
+      <li><a href="autoapi/datafusion/index.html#datafusion.Metric.name">name (datafusion.Metric property)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.Metric.name">(datafusion.Metric property)</a>
-</li>
         <li><a href="autoapi/datafusion/plan/index.html#datafusion.plan.Metric.name">(datafusion.plan.Metric property)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF.name">(datafusion.ScalarUDF property)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF.name">(datafusion.user_defined.AggregateUDF property)</a>
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF.name">(datafusion.user_defined.ScalarUDF property)</a>
 </li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF.name">(datafusion.user_defined.WindowUDF property)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF.name">(datafusion.WindowUDF property)</a>
-</li>
       </ul></li>
       <li><a href="autoapi/datafusion/functions/index.html#datafusion.functions.named_struct">named_struct() (in module datafusion.functions)</a>
 </li>
@@ -3141,14 +3053,14 @@
 </li>
       <li><a href="autoapi/datafusion/functions/spark/index.html#datafusion.functions.spark.negative">negative() (in module datafusion.functions.spark)</a>
 </li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/index.html#datafusion.CsvReadOptions.newlines_in_values">newlines_in_values (datafusion.CsvReadOptions attribute)</a>
 
       <ul>
         <li><a href="autoapi/datafusion/options/index.html#datafusion.options.CsvReadOptions.newlines_in_values">(datafusion.options.CsvReadOptions attribute)</a>
 </li>
       </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/record_batch/index.html#datafusion.record_batch.RecordBatchStream.next">next() (datafusion.record_batch.RecordBatchStream method)</a>
 
       <ul>
@@ -3627,12 +3539,8 @@
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.ScalarSubquery">ScalarSubquery (in module datafusion.expr)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF">ScalarUDF (class in datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF">(class in datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF">ScalarUDF (class in datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDFExportable">ScalarUDFExportable (class in datafusion.user_defined)</a>
 </li>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.ScalarVariable">ScalarVariable (in module datafusion.expr)</a>
@@ -3885,12 +3793,8 @@
 </li>
       <li><a href="autoapi/datafusion/functions/index.html#datafusion.functions.starts_with">starts_with() (in module datafusion.functions)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.Accumulator.state">state() (datafusion.Accumulator method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.state">(datafusion.user_defined.Accumulator method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.state">state() (datafusion.user_defined.Accumulator method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/dataframe/index.html#datafusion.dataframe.ParquetColumnOptions.statistics_enabled">statistics_enabled (datafusion.dataframe.ParquetColumnOptions attribute)</a>
 
       <ul>
@@ -4001,12 +3905,8 @@
       </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.table_provider">table_provider() (datafusion.context.SessionContext method)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction">TableFunction (class in datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction">(class in datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction">TableFunction (class in datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.TableProviderExportable">TableProviderExportable (class in datafusion.context)</a>
 </li>
       <li><a href="autoapi/datafusion/index.html#datafusion.TableProviderFactory">TableProviderFactory (class in datafusion)</a>
@@ -4203,63 +4103,37 @@
 <h2 id="U">U</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="autoapi/datafusion/index.html#datafusion.udaf">udaf (in module datafusion)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udaf">udaf (in module datafusion.user_defined)</a>
+</li>
+      <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udaf">udaf() (datafusion.context.SessionContext method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udaf">(in module datafusion.user_defined)</a>
-</li>
-      </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.udaf">udaf() (datafusion.AggregateUDF static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udaf">(datafusion.context.SessionContext method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF.udaf">(datafusion.user_defined.AggregateUDF static method)</a>
 </li>
       </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udafs">udafs() (datafusion.context.SessionContext method)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.udf">udf (in module datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udf">(in module datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udf">udf (in module datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udf">udf() (datafusion.context.SessionContext method)</a>
 
       <ul>
-        <li><a href="autoapi/datafusion/index.html#datafusion.ScalarUDF.udf">(datafusion.ScalarUDF static method)</a>
-</li>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF.udf">(datafusion.user_defined.ScalarUDF static method)</a>
 </li>
       </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udfs">udfs() (datafusion.context.SessionContext method)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.udtf">udtf (in module datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udtf">(in module datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udtf">udtf (in module datafusion.user_defined)</a>
 </li>
-      </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.TableFunction.udtf">udtf() (datafusion.TableFunction static method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction.udtf">(datafusion.user_defined.TableFunction static method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction.udtf">udtf() (datafusion.user_defined.TableFunction static method)</a>
 </li>
-      </ul></li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.udwf">udwf (in module datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udwf">(in module datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udwf">udwf (in module datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udwf">udwf() (datafusion.context.SessionContext method)</a>
 
       <ul>
         <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF.udwf">(datafusion.user_defined.WindowUDF static method)</a>
 </li>
-        <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF.udwf">(datafusion.WindowUDF static method)</a>
-</li>
       </ul></li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SessionContext.udwfs">udwfs() (datafusion.context.SessionContext method)</a>
 </li>
@@ -4269,14 +4143,14 @@
 </li>
       <li><a href="autoapi/datafusion/functions/spark/index.html#datafusion.functions.spark.unhex">unhex() (in module datafusion.functions.spark)</a>
 </li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.Union">Union (in module datafusion.expr)</a>
 </li>
       <li><a href="autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.union">union() (datafusion.dataframe.DataFrame method)</a>
 </li>
       <li><a href="autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.union_by_name">union_by_name() (datafusion.dataframe.DataFrame method)</a>
 </li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.union_distinct">union_distinct() (datafusion.dataframe.DataFrame method)</a>
 </li>
       <li><a href="autoapi/datafusion/functions/index.html#datafusion.functions.union_extract">union_extract() (in module datafusion.functions)</a>
@@ -4301,12 +4175,8 @@
 </li>
       <li><a href="autoapi/datafusion/unparser/index.html#datafusion.unparser.Unparser.unparser">unparser (datafusion.unparser.Unparser attribute)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.Accumulator.update">update() (datafusion.Accumulator method)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.update">(datafusion.user_defined.Accumulator method)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.update">update() (datafusion.user_defined.Accumulator method)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/index.html#datafusion.Expr.upper">upper() (datafusion.Expr method)</a>
 
       <ul>
@@ -4411,12 +4281,8 @@
       </ul></li>
       <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.WindowFrameBound">WindowFrameBound (class in datafusion.expr)</a>
 </li>
-      <li><a href="autoapi/datafusion/index.html#datafusion.WindowUDF">WindowUDF (class in datafusion)</a>
-
-      <ul>
-        <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF">(class in datafusion.user_defined)</a>
+      <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDF">WindowUDF (class in datafusion.user_defined)</a>
 </li>
-      </ul></li>
       <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowUDFExportable">WindowUDFExportable (class in datafusion.user_defined)</a>
 </li>
       <li><a href="autoapi/datafusion/context/index.html#datafusion.context.SQLOptions.with_allow_ddl">with_allow_ddl() (datafusion.context.SQLOptions method)</a>
diff --git a/objects.inv b/objects.inv
index 053a7ef..51e40b7 100644
--- a/objects.inv
+++ b/objects.inv
Binary files differ
diff --git a/searchindex.js b/searchindex.js
index 8b1f82a..4e16768 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"API Reference": [[20, null], [41, "api-reference"]], "Accessing the Calling Session": [[36, "accessing-the-calling-session"]], "Additional Resources": [[43, "additional-resources"]], "Aggregate Functions": [[28, "aggregate-functions"], [36, "aggregate-functions"], [38, "aggregate-functions"]], "Aggregated vs Per-Partition Metrics": [[41, "aggregated-vs-per-partition-metrics"]], "Aggregation": [[28, null]], "Alternative Approach": [[21, "alternative-approach"]], "Apache Iceberg": [[40, "apache-iceberg"]], "Arrays": [[30, "arrays"]], "Arrow": [[47, null]], "Attributes": [[4, "attributes"], [5, "attributes"], [7, "attributes"], [13, "attributes"], [19, "attributes"]], "Available Functions": [[38, "available-functions"]], "Available Metrics": [[41, "available-metrics"]], "Avro": [[48, null]], "Basic Operations": [[29, null]], "Basic Rendering": [[43, "basic-rendering"]], "Basic worker-pool example": [[44, "basic-worker-pool-example"]], "Benchmark Example": [[39, "benchmark-example"]], "Best Practices": [[43, "best-practices"]], "Boolean": [[30, "boolean"]], "Built-in Functions": [[42, "built-in-functions"]], "CSV": [[49, null]], "Casting": [[31, "casting"]], "Catalog": [[40, "catalog"]], "Classes": [[0, "classes"], [1, "classes"], [2, "classes"], [3, "classes"], [4, "classes"], [7, "classes"], [8, "classes"], [9, "classes"], [10, "classes"], [14, "classes"], [15, "classes"], [16, "classes"], [17, "classes"], [18, "classes"], [19, "classes"]], "Column": [[30, "column"]], "Column Names as Function Arguments": [[42, "column-names-as-function-arguments"]], "Column Selections": [[34, null]], "Common DataFrame Operations": [[42, "common-dataframe-operations"]], "Common Operations": [[32, null]], "Comparing subsets within a group": [[28, "comparing-subsets-within-a-group"]], "Concepts": [[27, null]], "Conditional": [[31, "conditional"]], "Conditional expressions": [[30, "conditional-expressions"]], "Configuration": [[39, null]], "Configuring the Formatter": [[43, "configuring-the-formatter"]], "Contributor Guide": [[22, null]], "Core Classes": [[42, "core-classes"]], "Core abstractions": [[7, "core-abstractions"]], "Create in-memory": [[40, "create-in-memory"]], "Creating DataFrames": [[42, "creating-dataframes"]], "Cube": [[28, "cube"]], "Custom Cell Formatters": [[43, "custom-cell-formatters"]], "Custom Cell and Header Builders": [[43, "custom-cell-and-header-builders"]], "Custom Style Providers": [[43, "custom-style-providers"]], "Custom Table Provider": [[40, "custom-table-provider"], [53, null]], "Data Sources": [[40, null]], "DataFrame": [[27, "dataframe"]], "DataFrame API": [[35, "dataframe-api"]], "DataFrame Rendering": [[43, null]], "DataFrames": [[42, null]], "DataFusion 52.0.0": [[55, "datafusion-52-0-0"]], "DataFusion 53.0.0": [[55, "datafusion-53-0-0"]], "DataFusion 54.0.0": [[55, "datafusion-54-0-0"]], "DataFusion in Python": [[24, null]], "Delta Lake": [[40, "delta-lake"]], "Disabling Python UDF inlining": [[44, "disabling-python-udf-inlining"]], "Disambiguating Columns with DataFrame.col()": [[33, "disambiguating-columns-with-dataframe-col"]], "Distinct": [[28, "distinct"]], "Distributing work": [[44, null]], "Duplicate Keys": [[33, "duplicate-keys"]], "End-to-End Example": [[41, "end-to-end-example"]], "Example": [[24, "example"]], "Execute as Stream": [[42, "execute-as-stream"]], "Execution Metrics": [[41, null], [42, "execution-metrics"]], "Explicit Grouping Sets": [[28, "explicit-grouping-sets"]], "Exporting from DataFusion": [[47, "exporting-from-datafusion"]], "Expression Classes": [[42, "expression-classes"]], "Expression-level distribution": [[44, "expression-level-distribution"]], "Expressions": [[27, "expressions"], [30, null]], "FAQ": [[36, "faq"]], "Filter": [[28, "filter"]], "Full Join": [[33, "full-join"]], "Function Reference": [[35, "function-reference"]], "Functions": [[3, "functions"], [4, "functions"], [5, "functions"], [6, "functions"], [7, "functions"], [11, "functions"], [12, "functions"], [19, "functions"], [30, "functions"], [31, null]], "Grouping Sets": [[28, "grouping-sets"]], "Guidelines for Separating Python and Rust Code": [[23, "guidelines-for-separating-python-and-rust-code"]], "HTML Rendering": [[42, "html-rendering"]], "Handling Missing Values": [[31, "handling-missing-values"]], "How to develop": [[23, "how-to-develop"]], "IO": [[50, null]], "If you are an agent author": [[26, "if-you-are-an-agent-author"]], "Implementation Details": [[21, "implementation-details"]], "Important Considerations": [[39, "important-considerations"]], "Importing to DataFusion": [[47, "importing-to-datafusion"]], "Improving Build Speed": [[23, "improving-build-speed"]], "Inner Join": [[33, "inner-join"]], "Inspiration from Arrow": [[21, "inspiration-from-arrow"]], "Install": [[24, "install"]], "Installation": [[46, "installation"]], "Installing the skill": [[26, "installing-the-skill"]], "Introduction": [[23, null], [46, null]], "JSON": [[51, null]], "Joins": [[33, null]], "Labels": [[41, "labels"]], "Lambda functions": [[30, "lambda-functions"]], "Left Anti Join": [[33, "left-anti-join"]], "Left Join": [[33, "left-join"]], "Left Semi Join": [[33, "left-semi-join"]], "Links": [[25, null]], "Literal": [[30, "literal"]], "Local file": [[40, "local-file"]], "Mathematical": [[31, "mathematical"]], "Maximizing CPU Usage": [[39, "maximizing-cpu-usage"]], "Memory and Display Controls": [[43, "memory-and-display-controls"]], "Module Contents": [[0, "module-contents"], [1, "module-contents"], [2, "module-contents"], [3, "module-contents"], [4, "module-contents"], [6, "module-contents"], [8, "module-contents"], [10, "module-contents"], [11, "module-contents"], [12, "module-contents"], [13, "module-contents"], [14, "module-contents"], [15, "module-contents"], [16, "module-contents"], [17, "module-contents"], [18, "module-contents"], [19, "module-contents"]], "Null Treatment": [[28, "null-treatment"], [38, "null-treatment"]], "Object Store": [[40, "object-store"]], "Ordering": [[28, "ordering"], [38, "ordering"]], "Other": [[31, "other"]], "Other DataFrame Libraries": [[40, "other-dataframe-libraries"]], "Overview": [[41, "overview"], [42, "overview"]], "Package Contents": [[5, "package-contents"], [7, "package-contents"], [9, "package-contents"]], "Parameterized queries": [[54, "parameterized-queries"]], "Parquet": [[52, null]], "Partitions": [[38, "partitions"]], "Performance Optimization with Shared Styles": [[43, "performance-optimization-with-shared-styles"]], "Portability requirements for inline Python UDFs": [[44, "portability-requirements-for-inline-python-udfs"]], "Practical considerations": [[44, "practical-considerations"]], "PyArrow": [[42, "pyarrow"]], "PyO3 class mutability guidelines": [[21, "pyo3-class-mutability-guidelines"]], "Python 3.14 default change": [[44, "python-3-14-default-change"]], "Python Extensions": [[21, null]], "Query-level distribution via Apache Ballista": [[44, "query-level-distribution-via-apache-ballista"]], "Query-level distribution via datafusion-distributed": [[44, "query-level-distribution-via-datafusion-distributed"]], "Quick start": [[7, "quick-start"]], "Reading the Physical Plan Tree": [[41, "reading-the-physical-plan-tree"]], "Reference: session context slots": [[44, "reference-session-context-slots"]], "Registering Views": [[37, null]], "Registering shared UDFs on workers": [[44, "registering-shared-udfs-on-workers"]], "Returns:": [[4, "returns"], [4, "id1"], [7, "returns"], [7, "id1"]], "Rollup": [[28, "rollup"]], "Running & Installing pre-commit hooks": [[23, "running-installing-pre-commit-hooks"]], "SQL": [[35, "sql"], [54, null]], "Scalar Functions": [[36, "scalar-functions"]], "Security": [[44, "security"]], "See also": [[44, "see-also"]], "Session Context": [[27, "session-context"]], "Setting Parameters": [[28, "setting-parameters"], [38, "setting-parameters"]], "Spark-Compatible Functions": [[35, null]], "Status of Work": [[21, "status-of-work"]], "String": [[31, "string"]], "Structs": [[30, "structs"]], "Submodules": [[5, "submodules"], [7, "submodules"], [9, "submodules"]], "Table Functions": [[36, "table-functions"]], "Temporal": [[31, "temporal"]], "Terminal Operations": [[42, "terminal-operations"]], "Testing membership in a list": [[30, "testing-membership-in-a-list"]], "The FFI Approach": [[21, "the-ffi-approach"]], "The Primary Issue": [[21, "the-primary-issue"]], "UDWF options": [[36, "udwf-options"]], "Update Dependencies": [[23, "update-dependencies"]], "Upgrade Guides": [[55, null]], "User Defined Catalog and Schema": [[40, "user-defined-catalog-and-schema"]], "User Guide": [[45, null]], "User-Defined Aggregate Functions": [[28, "user-defined-aggregate-functions"]], "User-Defined Functions": [[36, null]], "User-Defined Window Functions": [[38, "user-defined-window-functions"]], "Using AI Coding Assistants": [[26, null]], "What is published": [[26, "what-is-published"]], "What the skill covers": [[26, "what-the-skill-covers"]], "What travels with the expression": [[44, "what-travels-with-the-expression"]], "When Are Metrics Available?": [[41, "when-are-metrics-available"]], "When not to use a UDF": [[36, "when-not-to-use-a-udf"]], "Why a Separate Namespace?": [[35, "why-a-separate-namespace"]], "Window Frame": [[38, "window-frame"]], "Window Functions": [[36, "window-functions"], [38, null]], "Working with the Formatter Directly": [[43, "working-with-the-formatter-directly"]], "Zero-copy streaming to Arrow-based Python libraries": [[42, "zero-copy-streaming-to-arrow-based-python-libraries"]], "datafusion": [[7, null]], "datafusion.catalog": [[0, null]], "datafusion.context": [[1, null]], "datafusion.dataframe": [[2, null]], "datafusion.dataframe_formatter": [[3, null]], "datafusion.expr": [[4, null]], "datafusion.functions": [[5, null]], "datafusion.functions.spark": [[6, null]], "datafusion.input": [[9, null]], "datafusion.input.base": [[8, null]], "datafusion.input.location": [[10, null]], "datafusion.io": [[11, null]], "datafusion.ipc": [[12, null]], "datafusion.object_store": [[13, null]], "datafusion.options": [[14, null]], "datafusion.plan": [[15, null]], "datafusion.record_batch": [[16, null]], "datafusion.substrait": [[17, null]], "datafusion.unparser": [[18, null]], "datafusion.user_defined": [[19, null]], "fill_null": [[31, "fill-null"]]}, "docnames": ["autoapi/datafusion/catalog/index", "autoapi/datafusion/context/index", "autoapi/datafusion/dataframe/index", "autoapi/datafusion/dataframe_formatter/index", "autoapi/datafusion/expr/index", "autoapi/datafusion/functions/index", "autoapi/datafusion/functions/spark/index", "autoapi/datafusion/index", "autoapi/datafusion/input/base/index", "autoapi/datafusion/input/index", "autoapi/datafusion/input/location/index", "autoapi/datafusion/io/index", "autoapi/datafusion/ipc/index", "autoapi/datafusion/object_store/index", "autoapi/datafusion/options/index", 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"user-guide/distributing-work", "user-guide/index", "user-guide/introduction", "user-guide/io/arrow", "user-guide/io/avro", "user-guide/io/csv", "user-guide/io/index", "user-guide/io/json", "user-guide/io/parquet", "user-guide/io/table_provider", "user-guide/sql", "user-guide/upgrade-guides"], "envversion": {"sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2}, "filenames": ["autoapi/datafusion/catalog/index.rst", "autoapi/datafusion/context/index.rst", "autoapi/datafusion/dataframe/index.rst", "autoapi/datafusion/dataframe_formatter/index.rst", "autoapi/datafusion/expr/index.rst", "autoapi/datafusion/functions/index.rst", "autoapi/datafusion/functions/spark/index.rst", "autoapi/datafusion/index.rst", "autoapi/datafusion/input/base/index.rst", "autoapi/datafusion/input/index.rst", "autoapi/datafusion/input/location/index.rst", "autoapi/datafusion/io/index.rst", "autoapi/datafusion/ipc/index.rst", "autoapi/datafusion/object_store/index.rst", "autoapi/datafusion/options/index.rst", "autoapi/datafusion/plan/index.rst", "autoapi/datafusion/record_batch/index.rst", "autoapi/datafusion/substrait/index.rst", "autoapi/datafusion/unparser/index.rst", "autoapi/datafusion/user_defined/index.rst", "autoapi/index.rst", "contributor-guide/ffi.md", "contributor-guide/index.md", "contributor-guide/introduction.md", "index.md", "links.md", "user-guide/ai-coding-assistants.md", "user-guide/basics.md", "user-guide/common-operations/aggregations.md", "user-guide/common-operations/basic-info.md", "user-guide/common-operations/expressions.md", "user-guide/common-operations/functions.md", "user-guide/common-operations/index.md", "user-guide/common-operations/joins.md", "user-guide/common-operations/select-and-filter.md", "user-guide/common-operations/spark-functions.md", "user-guide/common-operations/udf-and-udfa.md", "user-guide/common-operations/views.md", "user-guide/common-operations/windows.md", "user-guide/configuration.md", "user-guide/data-sources.md", "user-guide/dataframe/execution-metrics.md", "user-guide/dataframe/index.md", "user-guide/dataframe/rendering.md", "user-guide/distributing-work.md", "user-guide/index.md", "user-guide/introduction.md", "user-guide/io/arrow.md", "user-guide/io/avro.md", "user-guide/io/csv.md", "user-guide/io/index.md", "user-guide/io/json.md", "user-guide/io/parquet.md", "user-guide/io/table_provider.md", "user-guide/sql.md", "user-guide/upgrade-guides.md"], "indexentries": {"__add__() (datafusion.expr method)": [[7, "datafusion.Expr.__add__", false]], "__add__() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.__add__", false]], "__aiter__() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.__aiter__", false]], "__aiter__() 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"minute() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.minute", false]], "module": [[0, "module-datafusion.catalog", false], [1, "module-datafusion.context", false], [2, "module-datafusion.dataframe", false], [3, "module-datafusion.dataframe_formatter", false], [4, "module-datafusion.expr", false], [5, "module-datafusion.functions", false], [6, "module-datafusion.functions.spark", false], [7, "module-datafusion", false], [8, "module-datafusion.input.base", false], [9, "module-datafusion.input", false], [10, "module-datafusion.input.location", false], [11, "module-datafusion.io", false], [12, "module-datafusion.ipc", false], [13, "module-datafusion.object_store", false], [14, "module-datafusion.options", false], [15, "module-datafusion.plan", false], [16, "module-datafusion.record_batch", false], [17, "module-datafusion.substrait", false], [18, "module-datafusion.unparser", false], [19, "module-datafusion.user_defined", false]], "modulus() (in module 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"datafusion.functions.named_struct", false]], "names() (datafusion.catalog method)": [[7, "datafusion.Catalog.names", false]], "names() (datafusion.catalog.catalog method)": [[0, "datafusion.catalog.Catalog.names", false]], "names() (datafusion.catalog.cataloglist method)": [[0, "datafusion.catalog.CatalogList.names", false]], "names() (datafusion.catalog.schema method)": [[0, "datafusion.catalog.Schema.names", false]], "nanvl() (in module datafusion.functions)": [[5, "datafusion.functions.nanvl", false]], "negative (in module datafusion.expr)": [[4, "datafusion.expr.Negative", false]], "negative() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.negative", false]], "newlines_in_values (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.newlines_in_values", false]], "newlines_in_values (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.newlines_in_values", false]], "next() (datafusion.record_batch.recordbatchstream method)": [[16, "datafusion.record_batch.RecordBatchStream.next", false]], "next() (datafusion.recordbatchstream method)": [[7, "datafusion.RecordBatchStream.next", false]], "next_day() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.next_day", false]], "not (in module datafusion.expr)": [[4, "datafusion.expr.Not", false]], "now() (in module datafusion.functions)": [[5, "datafusion.functions.now", false]], "nth_value() (in module datafusion.functions)": [[5, "datafusion.functions.nth_value", false]], "ntile() (in module datafusion.functions)": [[5, "datafusion.functions.ntile", false]], "null_regex (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.null_regex", false]], "null_regex (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.null_regex", false]], "null_treatment() (datafusion.expr method)": [[7, "datafusion.Expr.null_treatment", false]], "null_treatment() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.null_treatment", false]], "nullif() (in module datafusion.functions)": [[5, "datafusion.functions.nullif", false]], "nulls_first() (datafusion.expr.sortexpr method)": [[4, "datafusion.expr.SortExpr.nulls_first", false]], "nvl() (in module datafusion.functions)": [[5, "datafusion.functions.nvl", false]], "nvl2() (in module datafusion.functions)": [[5, "datafusion.functions.nvl2", false]], "octet_length() (datafusion.expr method)": [[7, "datafusion.Expr.octet_length", false]], "octet_length() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.octet_length", false]], "octet_length() (in module datafusion.functions)": [[5, "datafusion.functions.octet_length", false]], "operatefunctionarg (in module datafusion.expr)": [[4, "datafusion.expr.OperateFunctionArg", false]], "optimized_logical_plan() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.optimized_logical_plan", false]], "options_internal (datafusion.context.sqloptions attribute)": [[1, "datafusion.context.SQLOptions.options_internal", false]], "options_internal (datafusion.sqloptions attribute)": [[7, "datafusion.SQLOptions.options_internal", false]], "order_by() (datafusion.expr method)": [[7, "datafusion.Expr.order_by", false]], "order_by() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.order_by", false]], "order_by() (in module datafusion.functions)": [[5, "datafusion.functions.order_by", false]], "otherwise() (datafusion.expr.casebuilder method)": [[4, "datafusion.expr.CaseBuilder.otherwise", false]], "output_rows (datafusion.metricsset property)": [[7, "datafusion.MetricsSet.output_rows", false]], "output_rows (datafusion.plan.metricsset property)": [[15, "datafusion.plan.MetricsSet.output_rows", false]], "over() (datafusion.expr method)": [[7, "datafusion.Expr.over", false]], "over() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.over", false]], "overlay() (in module 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"datafusion.expr.Partitioning", false]], "percent_rank() (in module datafusion.functions)": [[5, "datafusion.functions.percent_rank", false]], "percentile_cont() (in module datafusion.functions)": [[5, "datafusion.functions.percentile_cont", false]], "pgjson (datafusion.dataframe.explainformat attribute)": [[2, "datafusion.dataframe.ExplainFormat.PGJSON", false]], "pgjson (datafusion.explainformat attribute)": [[7, "datafusion.ExplainFormat.PGJSON", false]], "physicalextensioncodecexportable (class in datafusion.user_defined)": [[19, "datafusion.user_defined.PhysicalExtensionCodecExportable", false]], "physicaloptimizerruleexportable (class in datafusion.context)": [[1, "datafusion.context.PhysicalOptimizerRuleExportable", false]], "pi() (in module datafusion.functions)": [[5, "datafusion.functions.pi", false]], "placeholder (in module datafusion.expr)": [[4, "datafusion.expr.Placeholder", false]], "plan (class in datafusion.substrait)": [[17, "datafusion.substrait.Plan", false]], "plan_internal (datafusion.substrait.plan attribute)": [[17, "datafusion.substrait.Plan.plan_internal", false]], "plan_to_sql() (datafusion.unparser.unparser method)": [[18, "datafusion.unparser.Unparser.plan_to_sql", false]], "pmod() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.pmod", false]], "position() (in module datafusion.functions)": [[5, "datafusion.functions.position", false]], "postgres() (datafusion.unparser.dialect static method)": [[18, "datafusion.unparser.Dialect.postgres", false]], "pow() (in module datafusion.functions)": [[5, "datafusion.functions.pow", false]], "power() (in module datafusion.functions)": [[5, "datafusion.functions.power", false]], "prepare (in module datafusion.expr)": [[4, "datafusion.expr.Prepare", false]], "producer (class in datafusion.substrait)": [[17, "datafusion.substrait.Producer", false]], "projection (in module datafusion.expr)": [[4, "datafusion.expr.Projection", false]], "python_value() (datafusion.expr 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"raw_sort (datafusion.expr.sortexpr attribute)": [[4, "datafusion.expr.SortExpr.raw_sort", false]], "rbs (datafusion.record_batch.recordbatchstream attribute)": [[16, "datafusion.record_batch.RecordBatchStream.rbs", false]], "rbs (datafusion.recordbatchstream attribute)": [[7, "datafusion.RecordBatchStream.rbs", false]], "read_arrow() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_arrow", false]], "read_avro() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_avro", false]], "read_avro() (in module datafusion)": [[7, "datafusion.read_avro", false]], "read_avro() (in module datafusion.io)": [[11, "datafusion.io.read_avro", false]], "read_batch() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_batch", false]], "read_batches() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_batches", false]], "read_csv() 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"register_catalog() (datafusion.catalog.catalogproviderlist method)": [[0, "datafusion.catalog.CatalogProviderList.register_catalog", false]], "register_catalog_provider() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_catalog_provider", false]], "register_catalog_provider_list() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_catalog_provider_list", false]], "register_csv() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_csv", false]], "register_dataset() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_dataset", false]], "register_formatter() (datafusion.dataframe_formatter.dataframehtmlformatter method)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.register_formatter", false]], "register_json() (datafusion.context.sessioncontext method)": [[1, 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"datafusion.ParquetWriterOptions.bloom_filter_fpp", false]], "bloom_filter_ndv (datafusion.dataframe.parquetcolumnoptions attribute)": [[2, "datafusion.dataframe.ParquetColumnOptions.bloom_filter_ndv", false]], "bloom_filter_ndv (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.bloom_filter_ndv", false]], "bloom_filter_ndv (datafusion.parquetcolumnoptions attribute)": [[7, "datafusion.ParquetColumnOptions.bloom_filter_ndv", false]], "bloom_filter_ndv (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.bloom_filter_ndv", false]], "bloom_filter_on_write (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.bloom_filter_on_write", false]], "bloom_filter_on_write (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.bloom_filter_on_write", false]], "bool_and() (in module datafusion.functions)": [[5, 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false]], "canonical_name() (datafusion.expr method)": [[7, "datafusion.Expr.canonical_name", false]], "canonical_name() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.canonical_name", false]], "cardinality() (datafusion.expr method)": [[7, "datafusion.Expr.cardinality", false]], "cardinality() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.cardinality", false]], "cardinality() (in module datafusion.functions)": [[5, "datafusion.functions.cardinality", false]], "case (in module datafusion.expr)": [[4, "datafusion.expr.Case", false]], "case() (in module datafusion.functions)": [[5, "datafusion.functions.case", false]], "case_builder (datafusion.expr.casebuilder attribute)": [[4, "datafusion.expr.CaseBuilder.case_builder", false]], "casebuilder (class in datafusion.expr)": [[4, "datafusion.expr.CaseBuilder", false]], "cast (in module datafusion.expr)": [[4, "datafusion.expr.Cast", false]], "cast() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.cast", false]], "cast() (datafusion.expr method)": [[7, "datafusion.Expr.cast", false]], "cast() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.cast", false]], "cast_to_type() (in module datafusion.functions)": [[5, "datafusion.functions.cast_to_type", false]], "catalog (class in datafusion)": [[7, "datafusion.Catalog", false]], "catalog (class in datafusion.catalog)": [[0, "datafusion.catalog.Catalog", false]], "catalog (datafusion.catalog attribute)": [[7, "datafusion.Catalog.catalog", false]], "catalog (datafusion.catalog.catalog attribute)": [[0, "datafusion.catalog.Catalog.catalog", false]], "catalog() (datafusion.catalog.cataloglist method)": [[0, "datafusion.catalog.CatalogList.catalog", false]], "catalog() (datafusion.catalog.catalogproviderlist method)": [[0, "datafusion.catalog.CatalogProviderList.catalog", false]], "catalog() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.catalog", false]], "catalog_list (datafusion.catalog.cataloglist attribute)": [[0, "datafusion.catalog.CatalogList.catalog_list", false]], "catalog_names() (datafusion.catalog.cataloglist method)": [[0, "datafusion.catalog.CatalogList.catalog_names", false]], "catalog_names() (datafusion.catalog.catalogproviderlist method)": [[0, "datafusion.catalog.CatalogProviderList.catalog_names", false]], "catalog_names() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.catalog_names", false]], "cataloglist (class in datafusion.catalog)": [[0, "datafusion.catalog.CatalogList", false]], "catalogprovider (class in datafusion.catalog)": [[0, "datafusion.catalog.CatalogProvider", false]], "catalogproviderlist (class in datafusion.catalog)": [[0, "datafusion.catalog.CatalogProviderList", false]], "cbrt() (datafusion.expr method)": [[7, "datafusion.Expr.cbrt", false]], "cbrt() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.cbrt", false]], "cbrt() (in module 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false]], "character_length() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.character_length", false]], "character_length() (in module datafusion.functions)": [[5, "datafusion.functions.character_length", false]], "children() (datafusion.executionplan method)": [[7, "datafusion.ExecutionPlan.children", false]], "children() (datafusion.plan.executionplan method)": [[15, "datafusion.plan.ExecutionPlan.children", false]], "chr() (datafusion.expr method)": [[7, "datafusion.Expr.chr", false]], "chr() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.chr", false]], "chr() (in module datafusion.functions)": [[5, "datafusion.functions.chr", false]], "clear_sender_ctx() (in module datafusion.ipc)": [[12, "datafusion.ipc.clear_sender_ctx", false]], "clear_worker_ctx() (in module datafusion.ipc)": [[12, "datafusion.ipc.clear_worker_ctx", false]], "coalesce() (in module datafusion.functions)": [[5, "datafusion.functions.coalesce", false]], "coerce_to_expr() (in module datafusion.expr)": [[4, "datafusion.expr.coerce_to_expr", false]], "coerce_to_expr_list() (in module datafusion.expr)": [[4, "datafusion.expr.coerce_to_expr_list", false]], "coerce_to_expr_or_none() (in module datafusion.expr)": [[4, "datafusion.expr.coerce_to_expr_or_none", false]], "col (in module datafusion)": [[7, "datafusion.col", false]], "col() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.col", false]], "col() (in module datafusion.functions)": [[5, "datafusion.functions.col", false]], "collect() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.collect", false]], "collect_column() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.collect_column", false]], "collect_list() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.collect_list", false]], "collect_metrics() (datafusion.executionplan method)": [[7, "datafusion.ExecutionPlan.collect_metrics", false]], "collect_metrics() (datafusion.plan.executionplan method)": [[15, "datafusion.plan.ExecutionPlan.collect_metrics", false]], "collect_partitioned() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.collect_partitioned", false]], "collect_set() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.collect_set", false]], "column (in module datafusion)": [[7, "datafusion.column", false]], "column (in module datafusion.expr)": [[4, "datafusion.expr.Column", false]], "column() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.column", false]], "column() (datafusion.expr static method)": [[7, "datafusion.Expr.column", false]], "column() (datafusion.expr.expr static method)": [[4, "datafusion.expr.Expr.column", false]], "column_index_truncate_length (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.column_index_truncate_length", false]], "column_index_truncate_length (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.column_index_truncate_length", false]], "column_name() (datafusion.expr method)": [[7, "datafusion.Expr.column_name", false]], "column_name() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.column_name", false]], "column_specific_options (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.column_specific_options", false]], "column_specific_options (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.column_specific_options", false]], "comment (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.comment", false]], "comment (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.comment", false]], "compression (class in datafusion.dataframe)": [[2, "datafusion.dataframe.Compression", false]], "compression 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"datafusion.SessionConfig.config_internal", false]], "configure_formatter() (in module datafusion)": [[7, "datafusion.configure_formatter", false]], "configure_formatter() (in module datafusion.dataframe_formatter)": [[3, "datafusion.dataframe_formatter.configure_formatter", false]], "consumer (class in datafusion.substrait)": [[17, "datafusion.substrait.Consumer", false]], "contains() (in module datafusion.functions)": [[5, "datafusion.functions.contains", false]], "copied_config() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.copied_config", false]], "copyto (in module datafusion.expr)": [[4, "datafusion.expr.CopyTo", false]], "corr() (in module datafusion.functions)": [[5, "datafusion.functions.corr", false]], "cos() (datafusion.expr method)": [[7, "datafusion.Expr.cos", false]], "cos() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.cos", false]], "cos() (in module datafusion.functions)": [[5, "datafusion.functions.cos", false]], "cosh() (datafusion.expr method)": [[7, "datafusion.Expr.cosh", false]], "cosh() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.cosh", false]], "cosh() (in module datafusion.functions)": [[5, "datafusion.functions.cosh", false]], "cosine_distance() (in module datafusion.functions)": [[5, "datafusion.functions.cosine_distance", false]], "cot() (datafusion.expr method)": [[7, "datafusion.Expr.cot", false]], "cot() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.cot", false]], "cot() (in module datafusion.functions)": [[5, "datafusion.functions.cot", false]], "count() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.count", false]], "count() (in module datafusion.functions)": [[5, "datafusion.functions.count", false]], "count_star() (in module datafusion.functions)": [[5, "datafusion.functions.count_star", false]], "covar() (in module datafusion.functions)": [[5, "datafusion.functions.covar", false]], "covar_pop() (in module 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"datafusion.dataframe.ParquetWriterOptions.created_by", false]], "created_by (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.created_by", false]], "createexternaltable (in module datafusion.expr)": [[4, "datafusion.expr.CreateExternalTable", false]], "createfunction (in module datafusion.expr)": [[4, "datafusion.expr.CreateFunction", false]], "createfunctionbody (in module datafusion.expr)": [[4, "datafusion.expr.CreateFunctionBody", false]], "createindex (in module datafusion.expr)": [[4, "datafusion.expr.CreateIndex", false]], "creatememorytable (in module datafusion.expr)": [[4, "datafusion.expr.CreateMemoryTable", false]], "createview (in module datafusion.expr)": [[4, "datafusion.expr.CreateView", false]], "csc() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.csc", false]], "csvreadoptions (class in datafusion)": [[7, "datafusion.CsvReadOptions", false]], "csvreadoptions (class in datafusion.options)": [[14, "datafusion.options.CsvReadOptions", false]], "ctx (datafusion.context.sessioncontext attribute)": [[1, "datafusion.context.SessionContext.ctx", false]], "cube() (datafusion.expr.groupingset static method)": [[4, "datafusion.expr.GroupingSet.cube", false]], "cume_dist() (in module datafusion.functions)": [[5, "datafusion.functions.cume_dist", false]], "current_date() (in module datafusion.functions)": [[5, "datafusion.functions.current_date", false]], "current_time() (in module datafusion.functions)": [[5, "datafusion.functions.current_time", false]], "current_timestamp() (in module datafusion.functions)": [[5, "datafusion.functions.current_timestamp", false]], "custom_css (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.custom_css", false]], "data_page_row_count_limit (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.data_page_row_count_limit", false]], "data_page_row_count_limit (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.data_page_row_count_limit", false]], "data_pagesize_limit (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.data_pagesize_limit", false]], "data_pagesize_limit (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.data_pagesize_limit", false]], "data_type_or_field_to_field() (in module datafusion.user_defined)": [[19, "datafusion.user_defined.data_type_or_field_to_field", false]], "data_types_or_fields_to_field_list() (in module datafusion.user_defined)": [[19, "datafusion.user_defined.data_types_or_fields_to_field_list", false]], "dataframe (class in datafusion.dataframe)": [[2, "datafusion.dataframe.DataFrame", false]], "dataframehtmlformatter (class in datafusion.dataframe_formatter)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter", false]], "dataframewriteoptions (class in datafusion)": [[7, "datafusion.DataFrameWriteOptions", false]], "dataframewriteoptions (class in datafusion.dataframe)": [[2, "datafusion.dataframe.DataFrameWriteOptions", false]], "datafusion": [[7, "module-datafusion", false]], "datafusion.catalog": [[0, "module-datafusion.catalog", false]], "datafusion.context": [[1, "module-datafusion.context", false]], "datafusion.dataframe": [[2, "module-datafusion.dataframe", false]], "datafusion.dataframe_formatter": [[3, "module-datafusion.dataframe_formatter", false]], "datafusion.expr": [[4, "module-datafusion.expr", false]], "datafusion.functions": [[5, "module-datafusion.functions", false]], "datafusion.functions.spark": [[6, "module-datafusion.functions.spark", false]], "datafusion.input": [[9, "module-datafusion.input", false]], "datafusion.input.base": [[8, "module-datafusion.input.base", false]], "datafusion.input.location": [[10, "module-datafusion.input.location", false]], "datafusion.io": [[11, "module-datafusion.io", false]], "datafusion.ipc": [[12, "module-datafusion.ipc", false]], "datafusion.object_store": [[13, "module-datafusion.object_store", false]], "datafusion.options": [[14, "module-datafusion.options", false]], "datafusion.plan": [[15, "module-datafusion.plan", false]], "datafusion.record_batch": [[16, "module-datafusion.record_batch", false]], "datafusion.substrait": [[17, "module-datafusion.substrait", false]], "datafusion.unparser": [[18, "module-datafusion.unparser", false]], "datafusion.user_defined": [[19, "module-datafusion.user_defined", false]], "date_add() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.date_add", false]], "date_bin() (in module datafusion.functions)": [[5, "datafusion.functions.date_bin", false]], "date_diff() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.date_diff", false]], "date_format() (in module datafusion.functions)": [[5, "datafusion.functions.date_format", false]], "date_part() (in module 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(datafusion.dataframe.dataframe static method)": [[2, "datafusion.dataframe.DataFrame.default_str_repr", false]], "defaultstyleprovider (class in datafusion.dataframe_formatter)": [[3, "datafusion.dataframe_formatter.DefaultStyleProvider", false]], "degrees() (datafusion.expr method)": [[7, "datafusion.Expr.degrees", false]], "degrees() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.degrees", false]], "degrees() (in module datafusion.functions)": [[5, "datafusion.functions.degrees", false]], "delimiter (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.delimiter", false]], "delimiter (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.delimiter", false]], "dense_rank() (in module datafusion.functions)": [[5, "datafusion.functions.dense_rank", false]], "deregister_object_store() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.deregister_object_store", false]], "deregister_schema() (datafusion.catalog method)": [[7, "datafusion.Catalog.deregister_schema", false]], "deregister_schema() (datafusion.catalog.catalog method)": [[0, "datafusion.catalog.Catalog.deregister_schema", false]], "deregister_schema() (datafusion.catalog.catalogprovider method)": [[0, "datafusion.catalog.CatalogProvider.deregister_schema", false]], "deregister_table() (datafusion.catalog.schema method)": [[0, "datafusion.catalog.Schema.deregister_table", false]], "deregister_table() (datafusion.catalog.schemaprovider method)": [[0, "datafusion.catalog.SchemaProvider.deregister_table", false]], "deregister_table() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.deregister_table", false]], "deregister_udaf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.deregister_udaf", false]], "deregister_udf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.deregister_udf", false]], "deregister_udtf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.deregister_udtf", false]], "deregister_udwf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.deregister_udwf", false]], "describe() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.describe", false]], "describetable (in module datafusion.expr)": [[4, "datafusion.expr.DescribeTable", false]], "deserialize() (datafusion.substrait.serde static method)": [[17, "datafusion.substrait.Serde.deserialize", false]], "deserialize_bytes() (datafusion.substrait.serde static method)": [[17, "datafusion.substrait.Serde.deserialize_bytes", false]], "df (datafusion.dataframe.dataframe attribute)": [[2, "datafusion.dataframe.DataFrame.df", false]], "dfschema (in module datafusion)": [[7, "datafusion.DFSchema", false]], "dialect (class in datafusion.unparser)": [[18, "datafusion.unparser.Dialect", false]], "dialect 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"datafusion.user_defined.Accumulator.merge", false]], "metric (class in datafusion)": [[7, "datafusion.Metric", false]], "metric (class in datafusion.plan)": [[15, "datafusion.plan.Metric", false]], "metrics() (datafusion.executionplan method)": [[7, "datafusion.ExecutionPlan.metrics", false]], "metrics() (datafusion.metricsset method)": [[7, "datafusion.MetricsSet.metrics", false]], "metrics() (datafusion.plan.executionplan method)": [[15, "datafusion.plan.ExecutionPlan.metrics", false]], "metrics() (datafusion.plan.metricsset method)": [[15, "datafusion.plan.MetricsSet.metrics", false]], "metricsset (class in datafusion)": [[7, "datafusion.MetricsSet", false]], "metricsset (class in datafusion.plan)": [[15, "datafusion.plan.MetricsSet", false]], "microsoftazure (in module datafusion.object_store)": [[13, "datafusion.object_store.MicrosoftAzure", false]], "min() (in module datafusion.functions)": [[5, "datafusion.functions.min", false]], "min_rows 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"module-datafusion.substrait", false], [18, "module-datafusion.unparser", false], [19, "module-datafusion.user_defined", false]], "modulus() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.modulus", false]], "mysql() (datafusion.unparser.dialect static method)": [[18, "datafusion.unparser.Dialect.mysql", false]], "name (datafusion.metric property)": [[7, "datafusion.Metric.name", false]], "name (datafusion.plan.metric property)": [[15, "datafusion.plan.Metric.name", false]], "name (datafusion.user_defined.aggregateudf property)": [[19, "datafusion.user_defined.AggregateUDF.name", false]], "name (datafusion.user_defined.scalarudf property)": [[19, "datafusion.user_defined.ScalarUDF.name", false]], "name (datafusion.user_defined.windowudf property)": [[19, "datafusion.user_defined.WindowUDF.name", false]], "named_struct() (in module datafusion.functions)": [[5, "datafusion.functions.named_struct", false]], "names() (datafusion.catalog method)": [[7, 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"next() (datafusion.recordbatchstream method)": [[7, "datafusion.RecordBatchStream.next", false]], "next_day() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.next_day", false]], "not (in module datafusion.expr)": [[4, "datafusion.expr.Not", false]], "now() (in module datafusion.functions)": [[5, "datafusion.functions.now", false]], "nth_value() (in module datafusion.functions)": [[5, "datafusion.functions.nth_value", false]], "ntile() (in module datafusion.functions)": [[5, "datafusion.functions.ntile", false]], "null_regex (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.null_regex", false]], "null_regex (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.null_regex", false]], "null_treatment() (datafusion.expr method)": [[7, "datafusion.Expr.null_treatment", false]], "null_treatment() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.null_treatment", false]], "nullif() (in module 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"options_internal (datafusion.sqloptions attribute)": [[7, "datafusion.SQLOptions.options_internal", false]], "order_by() (datafusion.expr method)": [[7, "datafusion.Expr.order_by", false]], "order_by() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.order_by", false]], "order_by() (in module datafusion.functions)": [[5, "datafusion.functions.order_by", false]], "otherwise() (datafusion.expr.casebuilder method)": [[4, "datafusion.expr.CaseBuilder.otherwise", false]], "output_rows (datafusion.metricsset property)": [[7, "datafusion.MetricsSet.output_rows", false]], "output_rows (datafusion.plan.metricsset property)": [[15, "datafusion.plan.MetricsSet.output_rows", false]], "over() (datafusion.expr method)": [[7, "datafusion.Expr.over", false]], "over() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.over", false]], "overlay() (in module datafusion.functions)": [[5, "datafusion.functions.overlay", false]], "overwrite (datafusion.dataframe.insertop attribute)": [[2, "datafusion.dataframe.InsertOp.OVERWRITE", false]], "overwrite (datafusion.insertop attribute)": [[7, "datafusion.InsertOp.OVERWRITE", false]], "owner_name() (datafusion.catalog.schemaprovider method)": [[0, "datafusion.catalog.SchemaProvider.owner_name", false]], "parquetcolumnoptions (class in datafusion)": [[7, "datafusion.ParquetColumnOptions", false]], "parquetcolumnoptions (class in datafusion.dataframe)": [[2, "datafusion.dataframe.ParquetColumnOptions", false]], "parquetwriteroptions (class in datafusion)": [[7, "datafusion.ParquetWriterOptions", false]], "parquetwriteroptions (class in datafusion.dataframe)": [[2, "datafusion.dataframe.ParquetWriterOptions", false]], "parse_capacity_limit() (datafusion.context.sessioncontext static method)": [[1, "datafusion.context.SessionContext.parse_capacity_limit", false]], "parse_sql_expr() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.parse_sql_expr", false]], "parse_sql_expr() 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false]], "regexp_instr() (in module datafusion.functions)": [[5, "datafusion.functions.regexp_instr", false]], "regexp_like() (in module datafusion.functions)": [[5, "datafusion.functions.regexp_like", false]], "regexp_match() (in module datafusion.functions)": [[5, "datafusion.functions.regexp_match", false]], "regexp_replace() (in module datafusion.functions)": [[5, "datafusion.functions.regexp_replace", false]], "register_arrow() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_arrow", false]], "register_avro() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_avro", false]], "register_batch() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_batch", false]], "register_catalog() (datafusion.catalog.cataloglist method)": [[0, "datafusion.catalog.CatalogList.register_catalog", false]], "register_catalog() (datafusion.catalog.catalogproviderlist method)": 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false]], "register_table() (datafusion.catalog.schemaprovider method)": [[0, "datafusion.catalog.SchemaProvider.register_table", false]], "register_table() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_table", false]], "register_table_factory() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_table_factory", false]], "register_table_provider() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_table_provider", false]], "register_udaf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_udaf", false]], "register_udf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_udf", false]], "register_udtf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_udtf", false]], "register_udwf() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_udwf", false]], "register_view() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_view", false]], "regr_avgx() (in module datafusion.functions)": [[5, "datafusion.functions.regr_avgx", false]], "regr_avgy() (in module datafusion.functions)": [[5, "datafusion.functions.regr_avgy", false]], "regr_count() (in module datafusion.functions)": [[5, "datafusion.functions.regr_count", false]], "regr_intercept() (in module datafusion.functions)": [[5, "datafusion.functions.regr_intercept", false]], "regr_r2() (in module datafusion.functions)": [[5, "datafusion.functions.regr_r2", false]], "regr_slope() (in module datafusion.functions)": [[5, "datafusion.functions.regr_slope", false]], "regr_sxx() (in module datafusion.functions)": [[5, "datafusion.functions.regr_sxx", false]], "regr_sxy() (in module datafusion.functions)": [[5, "datafusion.functions.regr_sxy", false]], "regr_syy() (in module 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"sha512() (datafusion.expr method)": [[7, "datafusion.Expr.sha512", false]], "sha512() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.sha512", false]], "sha512() (in module datafusion.functions)": [[5, "datafusion.functions.sha512", false]], "shiftleft() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.shiftleft", false]], "shiftright() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.shiftright", false]], "shiftrightunsigned() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.shiftrightunsigned", false]], "show() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.show", false]], "show_truncation_message (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.show_truncation_message", false]], "shuffle() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.shuffle", false]], 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diff --git a/user-guide/common-operations/aggregations.html b/user-guide/common-operations/aggregations.html
index 65881b9..c489c15 100644
--- a/user-guide/common-operations/aggregations.html
+++ b/user-guide/common-operations/aggregations.html
@@ -686,15 +686,15 @@
 +----------+--------------------------------------------------+
 | Type 1   | Type 2 List                                      |
 +----------+--------------------------------------------------+
-| Water    | [Fighting, Flying, , Poison, Psychic, Dark, Ice] |
-| Rock     | [Water, Ground, Flying]                          |
+| Water    | [Ice, , Fighting, Dark, Flying, Psychic, Poison] |
+| Rock     | [Ground, Flying, Water]                          |
 | Ghost    | [Poison]                                         |
-| Ice      | [Flying, Psychic]                                |
-| Dragon   | [, Flying]                                       |
-| Grass    | [Psychic, , Poison]                              |
+| Ice      | [Psychic, Flying]                                |
+| Dragon   | [Flying, ]                                       |
+| Grass    | [Poison, Psychic, ]                              |
 | Fire     | [, Dragon, Flying]                               |
-| Normal   | [Fairy, Flying, ]                                |
-| Poison   | [Ground, Flying, ]                               |
+| Normal   | [Fairy, , Flying]                                |
+| Poison   | [Flying, , Ground]                               |
 | Fighting | []                                               |
 +----------+--------------------------------------------------+
 Data truncated.
@@ -719,15 +719,15 @@
 +----------+------------------------------------------------+
 | Type 1   | Type 2 List                                    |
 +----------+------------------------------------------------+
-| Water    | [Fighting, Ice, Flying, Psychic, Dark, Poison] |
-| Rock     | [Flying, Ground, Water]                        |
+| Water    | [Poison, Flying, Fighting, Ice, Dark, Psychic] |
+| Rock     | [Flying, Water, Ground]                        |
 | Ghost    | [Poison]                                       |
-| Ice      | [Psychic, Flying]                              |
+| Ice      | [Flying, Psychic]                              |
 | Dragon   | [Flying]                                       |
 | Grass    | [Psychic, Poison]                              |
 | Fire     | [Flying, Dragon]                               |
-| Normal   | [Fairy, Flying]                                |
-| Poison   | [Flying, Ground]                               |
+| Normal   | [Flying, Fairy]                                |
+| Poison   | [Ground, Flying]                               |
 | Fighting |                                                |
 +----------+------------------------------------------------+
 Data truncated.
@@ -1273,7 +1273,7 @@
 <h2>User-Defined Aggregate Functions<a class="headerlink" href="#user-defined-aggregate-functions" title="Link to this heading">#</a></h2>
 <p>You can ship custom aggregations to the engine by subclassing
 <a class="reference internal" href="../../autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator" title="datafusion.user_defined.Accumulator"><code class="xref py py-class docutils literal notranslate"><span class="pre">Accumulator</span></code></a> and registering it via
-<a class="reference internal" href="../../autoapi/datafusion/index.html#datafusion.udaf" title="datafusion.udaf"><code class="xref py py-func docutils literal notranslate"><span class="pre">udaf()</span></code></a>. See <a class="reference internal" href="../../autoapi/datafusion/user_defined/index.html#module-datafusion.user_defined" title="datafusion.user_defined"><code class="xref py py-mod docutils literal notranslate"><span class="pre">datafusion.user_defined</span></code></a> for
+<code class="xref py py-func docutils literal notranslate"><span class="pre">udaf()</span></code>. See <a class="reference internal" href="../../autoapi/datafusion/user_defined/index.html#module-datafusion.user_defined" title="datafusion.user_defined"><code class="xref py py-mod docutils literal notranslate"><span class="pre">datafusion.user_defined</span></code></a> for
 the accumulator interface and worked examples.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
diff --git a/user-guide/common-operations/basic-info.html b/user-guide/common-operations/basic-info.html
index b77507b..bb101e5 100644
--- a/user-guide/common-operations/basic-info.html
+++ b/user-guide/common-operations/basic-info.html
@@ -528,11 +528,11 @@
 +-----+---------+--------+--------+
 | nrs | names   | random | groups |
 +-----+---------+--------+--------+
-| 1   | python  | 612    | A      |
-| 2   | ruby    | 819    | A      |
-| 3   | java    | 198    | B      |
-| 4   | haskell | 247    | C      |
-| 5   | go      | 457    | B      |
+| 1   | python  | 979    | A      |
+| 2   | ruby    | 193    | A      |
+| 3   | java    | 51     | B      |
+| 4   | haskell | 26     | C      |
+| 5   | go      | 541    | B      |
 +-----+---------+--------+--------+
 </pre></div>
 </div>
@@ -550,8 +550,8 @@
 +-----+--------+--------+--------+
 | nrs | names  | random | groups |
 +-----+--------+--------+--------+
-| 1   | python | 612    | A      |
-| 2   | ruby   | 819    | A      |
+| 1   | python | 979    | A      |
+| 2   | ruby   | 193    | A      |
 +-----+--------+--------+--------+
 </pre></div>
 </div>
@@ -583,11 +583,11 @@
 </div>
 <div class="cell_output docutils container">
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>   nrs    names  random groups
-0    1   python     612      A
-1    2     ruby     819      A
-2    3     java     198      B
-3    4  haskell     247      C
-4    5       go     457      B
+0    1   python     979      A
+1    2     ruby     193      A
+2    3     java      51      B
+3    4  haskell      26      C
+4    5       go     541      B
 </pre></div>
 </div>
 </div>
@@ -606,11 +606,11 @@
 +------------+--------------------+-------+--------------------+--------+
 | count      | 5.0                | 5     | 5.0                | 5      |
 | null_count | 0.0                | 0     | 0.0                | 0      |
-| mean       | 3.0                | null  | 466.6              | null   |
-| std        | 1.5811388300841898 | null  | 257.77373799516505 | null   |
-| min        | 1.0                | go    | 198.0              | A      |
-| max        | 5.0                | ruby  | 819.0              | C      |
-| median     | 3.0                | null  | 457.0              | null   |
+| mean       | 3.0                | null  | 358.0              | null   |
+| std        | 1.5811388300841898 | null  | 403.36955760195883 | null   |
+| min        | 1.0                | go    | 26.0               | A      |
+| max        | 5.0                | ruby  | 979.0              | C      |
+| median     | 3.0                | null  | 193.0              | null   |
 +------------+--------------------+-------+--------------------+--------+
 </pre></div>
 </div>
diff --git a/user-guide/common-operations/functions.html b/user-guide/common-operations/functions.html
index 032bb26..db57c5e 100644
--- a/user-guide/common-operations/functions.html
+++ b/user-guide/common-operations/functions.html
@@ -611,16 +611,16 @@
 +-------------------------------+
 | now()                         |
 +-------------------------------+
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
-| 2026-06-29T11:44:32.769140158 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
+| 2026-09-30T00:25:00.920978256 |
 +-------------------------------+
 Data truncated.
 </pre></div>
diff --git a/user-guide/common-operations/udf-and-udfa.html b/user-guide/common-operations/udf-and-udfa.html
index 11d271b..4803559 100644
--- a/user-guide/common-operations/udf-and-udfa.html
+++ b/user-guide/common-operations/udf-and-udfa.html
@@ -675,7 +675,7 @@
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>FilterExec: brand@1 = A AND qty@2 &gt;= 150
   RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
-    DataSourceExec: file_groups={1 group: [[tmp/tmpo35k3u7e/items.parquet]]}, projection=[id, brand, qty], file_type=parquet, predicate=brand@1 = A AND qty@2 &gt;= 150, pruning_predicate=brand_null_count@2 != row_count@3 AND brand_min@0 &lt;= A AND A &lt;= brand_max@1 AND qty_null_count@5 != row_count@3 AND qty_max@4 &gt;= 150, required_guarantees=[brand in (A)]
+    DataSourceExec: file_groups={1 group: [[tmp/tmpsywpupmx/items.parquet]]}, projection=[id, brand, qty], file_type=parquet, predicate=brand@1 = A AND qty@2 &gt;= 150, pruning_predicate=brand_null_count@2 != row_count@3 AND brand_min@0 &lt;= A AND A &lt;= brand_max@1 AND qty_null_count@5 != row_count@3 AND qty_max@4 &gt;= 150, required_guarantees=[brand in (A)]
 </pre></div>
 </div>
 </div>
@@ -711,7 +711,7 @@
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>FilterExec: brand_qty_filter(CAST(brand@1 AS Utf8), qty@2)
   RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
-    DataSourceExec: file_groups={1 group: [[tmp/tmpo35k3u7e/items.parquet]]}, projection=[id, brand, qty], file_type=parquet, predicate=brand_qty_filter(CAST(brand@1 AS Utf8), qty@2)
+    DataSourceExec: file_groups={1 group: [[tmp/tmpsywpupmx/items.parquet]]}, projection=[id, brand, qty], file_type=parquet, predicate=brand_qty_filter(CAST(brand@1 AS Utf8), qty@2)
 </pre></div>
 </div>
 </div>
diff --git a/user-guide/common-operations/windows.html b/user-guide/common-operations/windows.html
index b497f99..466fb85 100644
--- a/user-guide/common-operations/windows.html
+++ b/user-guide/common-operations/windows.html
@@ -848,7 +848,7 @@
 <h2>User-Defined Window Functions<a class="headerlink" href="#user-defined-window-functions" title="Link to this heading">#</a></h2>
 <p>You can ship custom window functions to the engine by subclassing
 <a class="reference internal" href="../../autoapi/datafusion/user_defined/index.html#datafusion.user_defined.WindowEvaluator" title="datafusion.user_defined.WindowEvaluator"><code class="xref py py-class docutils literal notranslate"><span class="pre">WindowEvaluator</span></code></a> and registering it
-via <a class="reference internal" href="../../autoapi/datafusion/index.html#datafusion.udwf" title="datafusion.udwf"><code class="xref py py-func docutils literal notranslate"><span class="pre">udwf()</span></code></a>. See <a class="reference internal" href="../../autoapi/datafusion/user_defined/index.html#module-datafusion.user_defined" title="datafusion.user_defined"><code class="xref py py-mod docutils literal notranslate"><span class="pre">datafusion.user_defined</span></code></a>
+via <code class="xref py py-func docutils literal notranslate"><span class="pre">udwf()</span></code>. See <a class="reference internal" href="../../autoapi/datafusion/user_defined/index.html#module-datafusion.user_defined" title="datafusion.user_defined"><code class="xref py py-mod docutils literal notranslate"><span class="pre">datafusion.user_defined</span></code></a>
 for the evaluator interface and worked examples.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
diff --git a/user-guide/distributing-work.html b/user-guide/distributing-work.html
index 26e0f0d..8a33c1b 100644
--- a/user-guide/distributing-work.html
+++ b/user-guide/distributing-work.html
@@ -584,9 +584,9 @@
 captured in closures travel inside the serialized expression and are
 reconstructed on the worker automatically. Applies equally to:</p>
 <ul>
-<li><p><strong>scalar UDFs</strong> (<a class="reference internal" href="../autoapi/datafusion/index.html#datafusion.udf" title="datafusion.udf"><code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.udf()</span></code></a>)</p></li>
-<li><p><strong>aggregate UDFs</strong> (<a class="reference internal" href="../autoapi/datafusion/index.html#datafusion.udaf" title="datafusion.udaf"><code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.udaf()</span></code></a>)</p></li>
-<li><p><strong>window UDFs</strong> (<a class="reference internal" href="../autoapi/datafusion/index.html#datafusion.udwf" title="datafusion.udwf"><code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.udwf()</span></code></a>)</p></li>
+<li><p><strong>scalar UDFs</strong> (<code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.udf()</span></code>)</p></li>
+<li><p><strong>aggregate UDFs</strong> (<code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.udaf()</span></code>)</p></li>
+<li><p><strong>window UDFs</strong> (<code class="xref py py-func docutils literal notranslate"><span class="pre">datafusion.udwf()</span></code>)</p></li>
 </ul>
 </li>
 <li><p><strong>UDFs imported via the FFI capsule protocol</strong> — travel <strong>by name
diff --git a/user-guide/introduction.html b/user-guide/introduction.html
index e407496..a46c4a2 100644
--- a/user-guide/introduction.html
+++ b/user-guide/introduction.html
@@ -524,7 +524,7 @@
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;54.0.0&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;54.1.0&#39;
 </pre></div>
 </div>
 </div>