Publish built docs triggered by 38422e440bae361d46520978fb4decb3fe2ae97e
diff --git a/_sources/autoapi/datafusion/index.rst.txt b/_sources/autoapi/datafusion/index.rst.txt index 32cdd1c..2d06639 100644 --- a/_sources/autoapi/datafusion/index.rst.txt +++ b/_sources/autoapi/datafusion/index.rst.txt
@@ -78,6 +78,10 @@ datafusion.DFSchema datafusion.col datafusion.column + datafusion.udaf + datafusion.udf + datafusion.udtf + datafusion.udwf Classes @@ -85,6 +89,8 @@ .. autoapisummary:: + datafusion.Accumulator + datafusion.AggregateUDF datafusion.Catalog datafusion.CsvReadOptions datafusion.DataFrameWriteOptions @@ -101,11 +107,14 @@ datafusion.RecordBatchStream datafusion.RuntimeEnvBuilder datafusion.SQLOptions + datafusion.ScalarUDF datafusion.SessionConfig datafusion.Table + datafusion.TableFunction datafusion.TableProviderFactory datafusion.TableProviderFactoryExportable datafusion.WindowFrame + datafusion.WindowUDF Functions @@ -125,6 +134,226 @@ 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. @@ -2383,6 +2612,154 @@ .. 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: pa.DataType | pa.Field + :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. @@ -2602,6 +2979,81 @@ 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` @@ -2673,6 +3125,171 @@ .. 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. @@ -2802,3 +3419,11 @@ .. 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 b51f81f..b1bf301 100644 --- a/autoapi/datafusion/index.html +++ b/autoapi/datafusion/index.html
@@ -563,6 +563,18 @@ <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> @@ -571,6 +583,12 @@ <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> @@ -619,12 +637,18 @@ <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.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.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> <td><p>Session configuration options.</p></td> </tr> -<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> +<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> <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> @@ -634,6 +658,9 @@ <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> @@ -670,6 +697,217 @@ <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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">@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">>>> </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">>>> </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">>>> </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">>>> </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">"immutable"</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">>>> </span><span class="k">def</span><span class="w"> </span><span class="nf">sum_bias_10</span><span class="p">()</span> <span class="o">-></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">>>> </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">"immutable"</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">>>> </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">"immutable"</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">>>> </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">"immutable"</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">>>> </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">>>> </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">"a"</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">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"total"</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">"total"</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">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"total"</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">"total"</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">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"total"</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">"total"</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">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"total"</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">"total"</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> @@ -2960,6 +3198,146 @@ </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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">@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>pa.DataType</em><em> | </em><em>pa.Field</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">>>> </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">>>> </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">>>> </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">>>> </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">"volatile"</span><span class="p">,</span> <span class="s2">"double_it"</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">>>> </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">"volatile"</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">>>> </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">>>> </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">"x"</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">>>> </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">"x"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"result"</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span> +<span class="go">{'result': [2, 4, 6]}</span> +<span class="gp">>>> </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">"x"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"result"</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span> +<span class="go">{'result': [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">>>> </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">>>> </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">>>> </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">"immutable"</span><span class="p">,</span> +<span class="gp">... </span> <span class="n">name</span><span class="o">=</span><span class="s2">"double"</span><span class="p">,</span> +<span class="gp">... </span><span class="p">)</span> +<span class="gp">>>> </span><span class="n">double</span><span class="o">.</span><span class="n">name</span> +<span class="go">'double'</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> @@ -3235,6 +3613,72 @@ </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">→</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">→</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">→</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">→</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">→</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">→</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> @@ -3309,6 +3753,161 @@ </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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">→</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">@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">>>> </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">>>> </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">>>> </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">"immutable"</span><span class="p">)</span> +<span class="gp">>>> </span><span class="k">def</span><span class="w"> </span><span class="nf">bias_10</span><span class="p">()</span> <span class="o">-></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">>>> </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">"immutable"</span><span class="p">)</span> +<span class="gp">>>> </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">"immutable"</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">>>> </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">"immutable"</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">>>> </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">>>> </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">"a"</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">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"result"</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span> +<span class="go">{'result': [0, 1, 2]}</span> +<span class="gp">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"result"</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span> +<span class="go">{'result': [10, 11, 12]}</span> +<span class="gp">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"result"</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span> +<span class="go">{'result': [20, 21, 22]}</span> +<span class="gp">>>> </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">"a"</span><span class="p">))</span><span class="o">.</span><span class="n">alias</span><span class="p">(</span><span class="s2">"result"</span><span class="p">))</span><span class="o">.</span><span class="n">to_pydict</span><span class="p">()</span> +<span class="go">{'result': [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">→</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> @@ -3475,6 +4074,26 @@ <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> @@ -3532,6 +4151,23 @@ <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> @@ -3842,6 +4478,16 @@ <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> @@ -3869,6 +4515,15 @@ <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> @@ -3885,6 +4540,20 @@ <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> @@ -3895,6 +4564,10 @@ <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 8954dfb..b18b48d 100644 --- a/genindex.html +++ b/genindex.html
@@ -530,9 +530,15 @@ <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/dataframe_formatter/index.html#datafusion.dataframe_formatter.CellFormatter.__call__">__call__() (datafusion.dataframe_formatter.CellFormatter method)</a> + <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.__call__">__call__() (datafusion.AggregateUDF 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> @@ -541,6 +547,8 @@ </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> @@ -672,9 +680,11 @@ <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.Catalog.__repr__">__repr__() (datafusion.Catalog method)</a> + <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.__repr__">__repr__() (datafusion.AggregateUDF 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> @@ -711,8 +721,12 @@ </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> @@ -723,6 +737,8 @@ </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> @@ -800,14 +816,30 @@ </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/user_defined/index.html#datafusion.user_defined.TableFunction._create_table_udf">_create_table_udf() (datafusion.user_defined.TableFunction static method)</a> + <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> - <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> + </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> + </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> @@ -816,20 +848,30 @@ </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/user_defined/index.html#datafusion.user_defined.AggregateUDF._from_internal">_from_internal() (datafusion.user_defined.AggregateUDF class method)</a> + <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF._from_internal">_from_internal() (datafusion.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> @@ -843,7 +885,11 @@ <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> @@ -900,14 +946,30 @@ </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/user_defined/index.html#datafusion.user_defined.AggregateUDF._udaf">_udaf (datafusion.user_defined.AggregateUDF attribute)</a> + <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> - <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.ScalarUDF._udf">_udf (datafusion.user_defined.ScalarUDF attribute)</a> + </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> - <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction._udtf">_udtf (datafusion.user_defined.TableFunction attribute)</a> + </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> + </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> @@ -934,8 +996,12 @@ <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/user_defined/index.html#datafusion.user_defined.Accumulator">Accumulator (class in datafusion.user_defined)</a> + <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> + </ul></li> <li><a href="autoapi/datafusion/index.html#datafusion.Expr.acos">acos() (datafusion.Expr method)</a> <ul> @@ -962,8 +1028,12 @@ </li> <li><a href="autoapi/datafusion/expr/index.html#datafusion.expr.AggregateFunction">AggregateFunction (in module datafusion.expr)</a> </li> - <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.AggregateUDF">AggregateUDF (class in datafusion.user_defined)</a> + <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> + </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> @@ -1074,10 +1144,10 @@ </li> <li><a href="autoapi/datafusion/functions/index.html#datafusion.functions.array_intersect">array_intersect() (in module datafusion.functions)</a> </li> - <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/functions/index.html#datafusion.functions.array_join">array_join() (in module datafusion.functions)</a> +</li> <li><a href="autoapi/datafusion/index.html#datafusion.Expr.array_length">array_length() (datafusion.Expr method)</a> <ul> @@ -2088,9 +2158,11 @@ <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/user_defined/index.html#datafusion.user_defined.Accumulator.evaluate">evaluate() (datafusion.user_defined.Accumulator method)</a> + <li><a href="autoapi/datafusion/index.html#datafusion.Accumulator.evaluate">evaluate() (datafusion.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> @@ -2248,10 +2320,10 @@ </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> - </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> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> <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> @@ -2296,13 +2368,19 @@ <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/user_defined/index.html#datafusion.user_defined.AggregateUDF.from_pycapsule">from_pycapsule() (datafusion.user_defined.AggregateUDF static method)</a> + <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.from_pycapsule">from_pycapsule() (datafusion.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> @@ -2946,8 +3024,12 @@ </li> </ul></td> <td style="width: 33%; vertical-align: top;"><ul> - <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.Accumulator.merge">merge() (datafusion.user_defined.Accumulator method)</a> + <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> + </ul></li> <li><a href="autoapi/datafusion/index.html#datafusion.Metric">Metric (class in datafusion)</a> <ul> @@ -3033,17 +3115,23 @@ <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.Metric.name">name (datafusion.Metric property)</a> + <li><a href="autoapi/datafusion/index.html#datafusion.AggregateUDF.name">name (datafusion.AggregateUDF 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> @@ -3063,14 +3151,14 @@ </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> @@ -3549,8 +3637,12 @@ <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/user_defined/index.html#datafusion.user_defined.ScalarUDF">ScalarUDF (class in datafusion.user_defined)</a> + <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> + </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> @@ -3803,8 +3895,12 @@ </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/user_defined/index.html#datafusion.user_defined.Accumulator.state">state() (datafusion.user_defined.Accumulator method)</a> + <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> + </ul></li> <li><a href="autoapi/datafusion/dataframe/index.html#datafusion.dataframe.ParquetColumnOptions.statistics_enabled">statistics_enabled (datafusion.dataframe.ParquetColumnOptions attribute)</a> <ul> @@ -3915,8 +4011,12 @@ </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/user_defined/index.html#datafusion.user_defined.TableFunction">TableFunction (class in datafusion.user_defined)</a> + <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> + </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> @@ -4113,37 +4213,63 @@ <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/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> + <li><a href="autoapi/datafusion/index.html#datafusion.udaf">udaf (in module datafusion)</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/user_defined/index.html#datafusion.user_defined.udf">udf (in module datafusion.user_defined)</a> + <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> + </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/user_defined/index.html#datafusion.user_defined.udtf">udtf (in module datafusion.user_defined)</a> + <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> - <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.TableFunction.udtf">udtf() (datafusion.user_defined.TableFunction static method)</a> + </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> - <li><a href="autoapi/datafusion/user_defined/index.html#datafusion.user_defined.udwf">udwf (in module datafusion.user_defined)</a> + </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> + </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> @@ -4153,14 +4279,14 @@ </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> @@ -4185,8 +4311,12 @@ </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/user_defined/index.html#datafusion.user_defined.Accumulator.update">update() (datafusion.user_defined.Accumulator method)</a> + <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> + </ul></li> <li><a href="autoapi/datafusion/index.html#datafusion.Expr.upper">upper() (datafusion.Expr method)</a> <ul> @@ -4291,8 +4421,12 @@ </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/user_defined/index.html#datafusion.user_defined.WindowUDF">WindowUDF (class in datafusion.user_defined)</a> + <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> + </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 d25f490..a7683f2 100644 --- a/objects.inv +++ b/objects.inv Binary files differ
diff --git a/searchindex.js b/searchindex.js index 5db8b74..6b85738 100644 --- a/searchindex.js +++ b/searchindex.js
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(datafusion.dataframe_formatter.dataframehtmlformatter property)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.max_rows", false]], "max_width (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.max_width", false]], "maximum_buffered_record_batches_per_stream (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.maximum_buffered_record_batches_per_stream", false]], "maximum_buffered_record_batches_per_stream (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.maximum_buffered_record_batches_per_stream", false]], "maximum_parallel_row_group_writers (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.maximum_parallel_row_group_writers", false]], "maximum_parallel_row_group_writers (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.maximum_parallel_row_group_writers", false]], "md5() (datafusion.expr method)": [[7, "datafusion.Expr.md5", false]], "md5() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.md5", false]], "md5() (in module datafusion.functions)": [[5, "datafusion.functions.md5", false]], "mean() (in module datafusion.functions)": [[5, "datafusion.functions.mean", false]], "median() (in module datafusion.functions)": [[5, "datafusion.functions.median", false]], "memoize() (datafusion.user_defined.windowevaluator method)": [[19, "datafusion.user_defined.WindowEvaluator.memoize", false]], "memory_catalog() (datafusion.catalog static method)": [[7, "datafusion.Catalog.memory_catalog", false]], "memory_catalog() (datafusion.catalog.catalog static method)": [[0, "datafusion.catalog.Catalog.memory_catalog", false]], "memory_catalog() (datafusion.catalog.cataloglist static method)": [[0, "datafusion.catalog.CatalogList.memory_catalog", false]], "memory_schema() (datafusion.catalog.schema static method)": [[0, "datafusion.catalog.Schema.memory_schema", false]], "merge() (datafusion.user_defined.accumulator method)": [[19, "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 (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.min_rows", false]], "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 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, "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 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() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.parse_sql_expr", false]], "parse_url() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.parse_url", false]], "partition (datafusion.metric property)": [[7, "datafusion.Metric.partition", false]], "partition (datafusion.plan.metric property)": [[15, "datafusion.plan.Metric.partition", false]], "partition_by() (datafusion.expr method)": [[7, "datafusion.Expr.partition_by", false]], "partition_by() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.partition_by", false]], "partition_count (datafusion.executionplan property)": [[7, "datafusion.ExecutionPlan.partition_count", false]], "partition_count (datafusion.plan.executionplan property)": [[15, "datafusion.plan.ExecutionPlan.partition_count", false]], "partitioning (in module datafusion.expr)": [[4, "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 method)": [[7, "datafusion.Expr.python_value", false]], "python_value() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.python_value", false]], "quantile_cont() (in module datafusion.functions)": [[5, "datafusion.functions.quantile_cont", false]], "quote (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.quote", false]], "quote (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.quote", false]], "radians() (datafusion.expr method)": [[7, "datafusion.Expr.radians", false]], "radians() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.radians", false]], "radians() (in module datafusion.functions)": [[5, "datafusion.functions.radians", false]], "random() (in module datafusion.functions)": [[5, "datafusion.functions.random", false]], "range() (in module datafusion.functions)": [[5, "datafusion.functions.range", false]], "rank() (in module datafusion.functions)": [[5, "datafusion.functions.rank", false]], "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() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_csv", false]], "read_csv() (in module datafusion)": [[7, "datafusion.read_csv", false]], "read_csv() (in module datafusion.io)": [[11, "datafusion.io.read_csv", false]], "read_empty() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_empty", false]], "read_json() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_json", false]], "read_json() (in module datafusion)": [[7, "datafusion.read_json", false]], "read_json() (in module datafusion.io)": [[11, "datafusion.io.read_json", false]], "read_parquet() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_parquet", false]], "read_parquet() (in module datafusion)": [[7, "datafusion.read_parquet", false]], "read_parquet() (in module datafusion.io)": [[11, "datafusion.io.read_parquet", false]], "read_table() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.read_table", false]], "record_batch (datafusion.record_batch.recordbatch attribute)": [[16, "datafusion.record_batch.RecordBatch.record_batch", false]], "record_batch (datafusion.recordbatch attribute)": [[7, "datafusion.RecordBatch.record_batch", false]], "recordbatch (class in datafusion)": [[7, "datafusion.RecordBatch", false]], "recordbatch (class in datafusion.record_batch)": [[16, "datafusion.record_batch.RecordBatch", false]], "recordbatchstream (class in datafusion)": [[7, "datafusion.RecordBatchStream", false]], "recordbatchstream (class in datafusion.record_batch)": [[16, "datafusion.record_batch.RecordBatchStream", false]], "recursivequery (in module datafusion.expr)": [[4, "datafusion.expr.RecursiveQuery", false]], "refresh_catalogs() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.refresh_catalogs", false]], "regexp_count() (in module datafusion.functions)": [[5, "datafusion.functions.regexp_count", 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)": [[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, "datafusion.context.SessionContext.register_json", false]], "register_listing_table() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_listing_table", false]], "register_object_store() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_object_store", false]], "register_parquet() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_parquet", false]], "register_record_batches() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.register_record_batches", false]], "register_schema() (datafusion.catalog method)": [[7, "datafusion.Catalog.register_schema", false]], "register_schema() (datafusion.catalog.catalog method)": [[0, "datafusion.catalog.Catalog.register_schema", false]], "register_schema() (datafusion.catalog.catalogprovider method)": [[0, "datafusion.catalog.CatalogProvider.register_schema", false]], "register_table() (datafusion.catalog.schema method)": [[0, "datafusion.catalog.Schema.register_table", 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 datafusion.functions)": [[5, "datafusion.functions.regr_syy", false]], "remove_optimizer_rule() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.remove_optimizer_rule", false]], "repartition (in module datafusion.expr)": [[4, "datafusion.expr.Repartition", false]], "repartition() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.repartition", false]], "repartition_by_hash() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.repartition_by_hash", false]], "repeat() (in module datafusion.functions)": [[5, "datafusion.functions.repeat", false]], "replace (datafusion.dataframe.insertop attribute)": [[2, "datafusion.dataframe.InsertOp.REPLACE", false]], "replace (datafusion.insertop attribute)": [[7, "datafusion.InsertOp.REPLACE", false]], "replace() (in module datafusion.functions)": 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false]], "to_json() (datafusion.substrait.plan method)": [[17, "datafusion.substrait.Plan.to_json", false]], "to_local_time() (in module datafusion.functions)": [[5, "datafusion.functions.to_local_time", false]], "to_pandas() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.to_pandas", false]], "to_polars() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.to_polars", false]], "to_proto() (datafusion.executionplan method)": [[7, "datafusion.ExecutionPlan.to_proto", false]], "to_proto() (datafusion.logicalplan method)": [[7, "datafusion.LogicalPlan.to_proto", false]], "to_proto() (datafusion.plan.executionplan method)": [[15, "datafusion.plan.ExecutionPlan.to_proto", false]], "to_proto() (datafusion.plan.logicalplan method)": [[15, "datafusion.plan.LogicalPlan.to_proto", false]], "to_pyarrow() (datafusion.record_batch.recordbatch method)": [[16, "datafusion.record_batch.RecordBatch.to_pyarrow", false]], "to_pyarrow() 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"to_timestamp_seconds() (in module datafusion.functions)": [[5, "datafusion.functions.to_timestamp_seconds", false]], "to_unixtime() (in module datafusion.functions)": [[5, "datafusion.functions.to_unixtime", false]], "to_utc_timestamp() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.to_utc_timestamp", false]], "to_variant() (datafusion.expr method)": [[7, "datafusion.Expr.to_variant", false]], "to_variant() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.to_variant", false]], "to_variant() (datafusion.logicalplan method)": [[7, "datafusion.LogicalPlan.to_variant", false]], "to_variant() (datafusion.plan.logicalplan method)": [[15, "datafusion.plan.LogicalPlan.to_variant", false]], "today (in module datafusion.functions)": [[5, "datafusion.functions.today", false]], "transactionaccessmode (in module datafusion.expr)": [[4, "datafusion.expr.TransactionAccessMode", false]], "transactionconclusion (in module datafusion.expr)": [[4, 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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, 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"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, 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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() 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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 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"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 datafusion.functions)": [[5, "datafusion.functions.date_part", false]], "date_part() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.date_part", false]], "date_sub() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.date_sub", false]], "date_trunc() (in module datafusion.functions)": [[5, "datafusion.functions.date_trunc", false]], "date_trunc() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.date_trunc", false]], "datepart() (in module datafusion.functions)": [[5, "datafusion.functions.datepart", false]], "datetrunc() (in module datafusion.functions)": [[5, "datafusion.functions.datetrunc", false]], "deallocate (in module datafusion.expr)": [[4, "datafusion.expr.Deallocate", false]], "decode() (in module datafusion.functions)": [[5, "datafusion.functions.decode", false]], "default() (datafusion.unparser.dialect static method)": [[18, "datafusion.unparser.Dialect.default", false]], "default_str_repr() (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, 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"map_values() (in module datafusion.functions)": [[5, "datafusion.functions.map_values", false]], "max() (in module datafusion.functions)": [[5, "datafusion.functions.max", false]], "max_cell_length (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.max_cell_length", false]], "max_height (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.max_height", false]], "max_memory_bytes (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.max_memory_bytes", false]], "max_row_group_size (datafusion.dataframe.parquetwriteroptions attribute)": [[2, "datafusion.dataframe.ParquetWriterOptions.max_row_group_size", false]], "max_row_group_size (datafusion.parquetwriteroptions attribute)": [[7, "datafusion.ParquetWriterOptions.max_row_group_size", false]], "max_rows 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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 (datafusion.dataframe_formatter.dataframehtmlformatter attribute)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.min_rows", false]], "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 datafusion.functions.spark)": [[6, "datafusion.functions.spark.modulus", false]], "mysql() (datafusion.unparser.dialect static method)": [[18, "datafusion.unparser.Dialect.mysql", false]], "name (datafusion.aggregateudf property)": [[7, "datafusion.AggregateUDF.name", false]], "name (datafusion.metric property)": [[7, "datafusion.Metric.name", false]], "name (datafusion.plan.metric property)": [[15, "datafusion.plan.Metric.name", false]], "name (datafusion.scalarudf property)": [[7, "datafusion.ScalarUDF.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]], "name (datafusion.windowudf property)": [[7, "datafusion.WindowUDF.name", false]], "named_struct() (in module datafusion.functions)": [[5, "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 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"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, 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"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]], 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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 method)": [[7, "datafusion.Expr.python_value", false]], "python_value() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.python_value", false]], "quantile_cont() (in module datafusion.functions)": [[5, "datafusion.functions.quantile_cont", false]], "quote (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.quote", false]], "quote (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.quote", false]], "radians() (datafusion.expr method)": [[7, "datafusion.Expr.radians", false]], "radians() (datafusion.expr.expr method)": [[4, 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[[7, "datafusion.Catalog.register_schema", false]], "register_schema() (datafusion.catalog.catalog method)": [[0, "datafusion.catalog.Catalog.register_schema", false]], "register_schema() (datafusion.catalog.catalogprovider method)": [[0, "datafusion.catalog.CatalogProvider.register_schema", false]], "register_table() (datafusion.catalog.schema method)": [[0, "datafusion.catalog.Schema.register_table", 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() 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"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 datafusion.functions)": [[5, "datafusion.functions.regr_syy", false]], "remove_optimizer_rule() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.remove_optimizer_rule", false]], "repartition (in module datafusion.expr)": [[4, "datafusion.expr.Repartition", false]], "repartition() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.repartition", false]], "repartition_by_hash() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.repartition_by_hash", false]], "repeat() (in module datafusion.functions)": [[5, "datafusion.functions.repeat", false]], "replace (datafusion.dataframe.insertop attribute)": [[2, "datafusion.dataframe.InsertOp.REPLACE", false]], "replace (datafusion.insertop attribute)": [[7, "datafusion.InsertOp.REPLACE", false]], "replace() (in module datafusion.functions)": [[5, "datafusion.functions.replace", false]], "repr_rows (datafusion.dataframe_formatter.dataframehtmlformatter property)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.repr_rows", false]], "reset_formatter() (in module datafusion.dataframe_formatter)": [[3, "datafusion.dataframe_formatter.reset_formatter", false]], "reverse() (datafusion.expr method)": [[7, "datafusion.Expr.reverse", false]], "reverse() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.reverse", false]], "reverse() (in module datafusion.functions)": [[5, "datafusion.functions.reverse", false]], "rex_call_operands() (datafusion.expr method)": [[7, "datafusion.Expr.rex_call_operands", false]], "rex_call_operands() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.rex_call_operands", false]], "rex_call_operator() (datafusion.expr method)": [[7, "datafusion.Expr.rex_call_operator", false]], "rex_call_operator() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.rex_call_operator", false]], "rex_type() (datafusion.expr method)": [[7, "datafusion.Expr.rex_type", false]], "rex_type() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.rex_type", false]], "right() (in module datafusion.functions)": [[5, "datafusion.functions.right", false]], "rint() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.rint", false]], "rollup() (datafusion.expr.groupingset static method)": [[4, "datafusion.expr.GroupingSet.rollup", false]], "round() (in module datafusion.functions)": [[5, "datafusion.functions.round", false]], "round() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.round", false]], "row() (in module datafusion.functions)": [[5, "datafusion.functions.row", false]], "row_number() (in module datafusion.functions)": [[5, "datafusion.functions.row_number", false]], "rpad() (in module datafusion.functions)": [[5, "datafusion.functions.rpad", false]], "rtrim() (datafusion.expr method)": [[7, "datafusion.Expr.rtrim", false]], "rtrim() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.rtrim", false]], "rtrim() (in module datafusion.functions)": [[5, "datafusion.functions.rtrim", false]], "runtimeenvbuilder (class in datafusion)": [[7, "datafusion.RuntimeEnvBuilder", false]], "runtimeenvbuilder (class in datafusion.context)": [[1, "datafusion.context.RuntimeEnvBuilder", false]], "scalarsubquery (in module datafusion.expr)": [[4, "datafusion.expr.ScalarSubquery", false]], "scalarudf (class in datafusion)": [[7, "datafusion.ScalarUDF", false]], "scalarudf (class in datafusion.user_defined)": [[19, "datafusion.user_defined.ScalarUDF", false]], "scalarudfexportable (class in datafusion.user_defined)": [[19, "datafusion.user_defined.ScalarUDFExportable", false]], "scalarvariable (in module datafusion.expr)": [[4, "datafusion.expr.ScalarVariable", false]], "schema (class in datafusion.catalog)": [[0, "datafusion.catalog.Schema", false]], "schema (datafusion.catalog.table property)": [[0, "datafusion.catalog.Table.schema", false]], "schema (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.schema", false]], "schema (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.schema", false]], "schema (datafusion.table property)": [[7, "datafusion.Table.schema", false]], "schema() (datafusion.catalog method)": [[7, "datafusion.Catalog.schema", false]], "schema() (datafusion.catalog.catalog method)": [[0, "datafusion.catalog.Catalog.schema", false]], "schema() (datafusion.catalog.catalogprovider method)": [[0, "datafusion.catalog.CatalogProvider.schema", false]], "schema() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.schema", false]], "schema_infer_max_records (datafusion.csvreadoptions attribute)": [[7, "datafusion.CsvReadOptions.schema_infer_max_records", false]], "schema_infer_max_records (datafusion.options.csvreadoptions attribute)": [[14, "datafusion.options.CsvReadOptions.schema_infer_max_records", false]], "schema_name() (datafusion.expr method)": [[7, "datafusion.Expr.schema_name", false]], "schema_name() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.schema_name", false]], "schema_names() (datafusion.catalog method)": [[7, "datafusion.Catalog.schema_names", false]], "schema_names() (datafusion.catalog.catalog method)": [[0, "datafusion.catalog.Catalog.schema_names", false]], "schema_names() (datafusion.catalog.catalogprovider method)": [[0, "datafusion.catalog.CatalogProvider.schema_names", false]], "schemaprovider (class in datafusion.catalog)": [[0, "datafusion.catalog.SchemaProvider", false]], "sec() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.sec", false]], "second() (in module datafusion.functions.spark)": [[6, "datafusion.functions.spark.second", false]], "select() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.select", false]], "select_exprs() (datafusion.dataframe.dataframe method)": [[2, "datafusion.dataframe.DataFrame.select_exprs", false]], "serde (class in datafusion.substrait)": [[17, "datafusion.substrait.Serde", false]], "serialize() (datafusion.substrait.serde static method)": [[17, "datafusion.substrait.Serde.serialize", false]], "serialize_bytes() (datafusion.substrait.serde static method)": [[17, "datafusion.substrait.Serde.serialize_bytes", false]], "serialize_to_plan() (datafusion.substrait.serde static method)": [[17, "datafusion.substrait.Serde.serialize_to_plan", false]], "session_id() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.session_id", false]], "session_start_time() (datafusion.context.sessioncontext method)": [[1, "datafusion.context.SessionContext.session_start_time", false]], "sessionconfig (class in datafusion)": [[7, "datafusion.SessionConfig", false]], "sessionconfig (class in datafusion.context)": [[1, "datafusion.context.SessionConfig", false]], "sessioncontext (class in datafusion.context)": [[1, "datafusion.context.SessionContext", false]], "set() (datafusion.context.sessionconfig method)": [[1, "datafusion.context.SessionConfig.set", false]], "set() (datafusion.sessionconfig method)": [[7, "datafusion.SessionConfig.set", false]], "set_custom_cell_builder() (datafusion.dataframe_formatter.dataframehtmlformatter method)": [[3, "datafusion.dataframe_formatter.DataFrameHtmlFormatter.set_custom_cell_builder", false]], "set_custom_header_builder() (datafusion.dataframe_formatter.dataframehtmlformatter method)": [[3, 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"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]], "signum() (datafusion.expr method)": [[7, "datafusion.Expr.signum", false]], "signum() (datafusion.expr.expr method)": [[4, "datafusion.expr.Expr.signum", false]], "signum() (in module datafusion.functions)": [[5, "datafusion.functions.signum", false]], "similarto (in module datafusion.expr)": [[4, "datafusion.expr.SimilarTo", false]], "sin() (datafusion.expr 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diff --git a/user-guide/common-operations/aggregations.html b/user-guide/common-operations/aggregations.html index 03eba9e..22a3d75 100644 --- a/user-guide/common-operations/aggregations.html +++ b/user-guide/common-operations/aggregations.html
@@ -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 -<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 +<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 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 48e3d26..8f32c0f 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 | 928 | A | -| 2 | ruby | 686 | A | -| 3 | java | 391 | B | -| 4 | haskell | 755 | C | -| 5 | go | 175 | B | +| 1 | python | 991 | A | +| 2 | ruby | 743 | A | +| 3 | java | 167 | B | +| 4 | haskell | 617 | C | +| 5 | go | 889 | B | +-----+---------+--------+--------+ </pre></div> </div> @@ -550,8 +550,8 @@ +-----+--------+--------+--------+ | nrs | names | random | groups | +-----+--------+--------+--------+ -| 1 | python | 928 | A | -| 2 | ruby | 686 | A | +| 1 | python | 991 | A | +| 2 | ruby | 743 | 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 928 A -1 2 ruby 686 A -2 3 java 391 B -3 4 haskell 755 C -4 5 go 175 B +0 1 python 991 A +1 2 ruby 743 A +2 3 java 167 B +3 4 haskell 617 C +4 5 go 889 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 | 587.0 | null | -| std | 1.5811388300841898 | null | 301.02574640718024 | null | -| min | 1.0 | go | 175.0 | A | -| max | 5.0 | ruby | 928.0 | C | -| median | 3.0 | null | 686.0 | null | +| mean | 3.0 | null | 681.4 | null | +| std | 1.5811388300841898 | null | 320.74101702152154 | null | +| min | 1.0 | go | 167.0 | A | +| max | 5.0 | ruby | 991.0 | C | +| median | 3.0 | null | 743.0 | null | +------------+--------------------+-------+--------------------+--------+ </pre></div> </div>
diff --git a/user-guide/common-operations/functions.html b/user-guide/common-operations/functions.html index 52ac157..212a297 100644 --- a/user-guide/common-operations/functions.html +++ b/user-guide/common-operations/functions.html
@@ -611,16 +611,16 @@ +-------------------------------+ | now() | +-------------------------------+ -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | -| 2026-08-09T13:29:09.162471724 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +| 2026-08-13T16:18:05.878336492 | +-------------------------------+ 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 5038974..1ad4527 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 >= 150 RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={1 group: [[tmp/tmprcd64oh1/items.parquet]]}, projection=[id, brand, qty], file_type=parquet, predicate=brand@1 = A AND qty@2 >= 150, pruning_predicate=brand_null_count@2 != row_count@3 AND brand_min@0 <= A AND A <= brand_max@1 AND qty_null_count@5 != row_count@3 AND qty_max@4 >= 150, required_guarantees=[brand in (A)] + DataSourceExec: file_groups={1 group: [[tmp/tmpj_7y1dza/items.parquet]]}, projection=[id, brand, qty], file_type=parquet, predicate=brand@1 = A AND qty@2 >= 150, pruning_predicate=brand_null_count@2 != row_count@3 AND brand_min@0 <= A AND A <= brand_max@1 AND qty_null_count@5 != row_count@3 AND qty_max@4 >= 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/tmprcd64oh1/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/tmpj_7y1dza/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 466fb85..b497f99 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 <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> +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> 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 8a33c1b..26e0f0d 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> (<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> +<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> </ul> </li> <li><p><strong>UDFs imported via the FFI capsule protocol</strong> — travel <strong>by name