datafusion-python/python/datafusion/expr.py at main · vectorlink-ai/datafusion-python · GitHub

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# Licensed to the Apache Software Foundation (ASF) under one

# or more contributor license agreements. See the NOTICE file

# distributed with this work for additional information

# regarding copyright ownership. The ASF licenses this file

# to you under the Apache License, Version 2.0 (the

# "License"); you may not use this file except in compliance

# with the License. You may obtain a copy of the License at

# http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing,

# software distributed under the License is distributed on an

# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

# KIND, either express or implied. See the License for the

# specific language governing permissions and limitations

# under the License.

"""This module supports expressions, one of the core concepts in DataFusion.

See :ref:`Expressions` in the online documentation for more details.

"""

from __future__ import annotations

from typing import TYPE_CHECKING, Any, Optional, Type

import pyarrow as pa

from typing_extensions import deprecated

from datafusion.common import DataTypeMap, NullTreatment, RexType

from ._internal import expr as expr_internal

from ._internal import functions as functions_internal

if TYPE_CHECKING:

from datafusion.plan import LogicalPlan

# The following are imported from the internal representation. We may choose to

# give these all proper wrappers, or to simply leave as is. These were added

# in order to support passing the `test_imports` unit test.

# Tim Saucer note: It is not clear to me what the use case is for exposing

# these definitions to the end user.

Alias = expr_internal.Alias

Analyze = expr_internal.Analyze

Aggregate = expr_internal.Aggregate

AggregateFunction = expr_internal.AggregateFunction

Between = expr_internal.Between

BinaryExpr = expr_internal.BinaryExpr

Case = expr_internal.Case

Cast = expr_internal.Cast

Column = expr_internal.Column

CreateMemoryTable = expr_internal.CreateMemoryTable

CreateView = expr_internal.CreateView

Distinct = expr_internal.Distinct

DropTable = expr_internal.DropTable

EmptyRelation = expr_internal.EmptyRelation

Exists = expr_internal.Exists

Explain = expr_internal.Explain

Extension = expr_internal.Extension

Filter = expr_internal.Filter

GroupingSet = expr_internal.GroupingSet

Join = expr_internal.Join

ILike = expr_internal.ILike

InList = expr_internal.InList

InSubquery = expr_internal.InSubquery

IsFalse = expr_internal.IsFalse

IsNotTrue = expr_internal.IsNotTrue

IsNull = expr_internal.IsNull

IsTrue = expr_internal.IsTrue

IsUnknown = expr_internal.IsUnknown

IsNotFalse = expr_internal.IsNotFalse

IsNotNull = expr_internal.IsNotNull

IsNotUnknown = expr_internal.IsNotUnknown

JoinConstraint = expr_internal.JoinConstraint

JoinType = expr_internal.JoinType

Like = expr_internal.Like

Limit = expr_internal.Limit

Literal = expr_internal.Literal

Negative = expr_internal.Negative

Not = expr_internal.Not

Partitioning = expr_internal.Partitioning

Placeholder = expr_internal.Placeholder

Projection = expr_internal.Projection

Repartition = expr_internal.Repartition

ScalarSubquery = expr_internal.ScalarSubquery

ScalarVariable = expr_internal.ScalarVariable

SimilarTo = expr_internal.SimilarTo

Sort = expr_internal.Sort

Subquery = expr_internal.Subquery

SubqueryAlias = expr_internal.SubqueryAlias

TableScan = expr_internal.TableScan

TryCast = expr_internal.TryCast

Union = expr_internal.Union

Unnest = expr_internal.Unnest

UnnestExpr = expr_internal.UnnestExpr

WindowExpr = expr_internal.WindowExpr

__all__ = [

"Expr",

"Column",

"Literal",

"BinaryExpr",

"Literal",

"AggregateFunction",

"Not",

"IsNotNull",

"IsNull",

"IsTrue",

"IsFalse",

"IsUnknown",

"IsNotTrue",

"IsNotFalse",

"IsNotUnknown",

"Negative",

"Like",

"ILike",

"SimilarTo",

"ScalarVariable",

"Alias",

"InList",

"Exists",

"Subquery",

"InSubquery",

"ScalarSubquery",

"Placeholder",

"GroupingSet",

"Case",

"CaseBuilder",

"Cast",

"TryCast",

"Between",

"Explain",

"Limit",

"Aggregate",

"Sort",

"SortExpr",

"Analyze",

"EmptyRelation",

"Join",

"JoinType",

"JoinConstraint",

"Union",

"Unnest",

"UnnestExpr",

"Extension",

"Filter",

"Projection",

"TableScan",

"CreateMemoryTable",

"CreateView",

"Distinct",

"SubqueryAlias",

"DropTable",

"Partitioning",

"Repartition",

"Window",

"WindowExpr",

"WindowFrame",

"WindowFrameBound",

]

def expr_list_to_raw_expr_list(

expr_list: Optional[list[Expr]],

) -> Optional[list[expr_internal.Expr]]:

"""Helper function to convert an optional list to raw expressions."""

return [e.expr for e in expr_list] if expr_list is not None else None

def sort_or_default(e: Expr | SortExpr) -> expr_internal.SortExpr:

"""Helper function to return a default Sort if an Expr is provided."""

if isinstance(e, SortExpr):

return e.raw_sort

return SortExpr(e.expr, True, True).raw_sort

def sort_list_to_raw_sort_list(

sort_list: Optional[list[Expr | SortExpr]],

) -> Optional[list[expr_internal.SortExpr]]:

"""Helper function to return an optional sort list to raw variant."""

return [sort_or_default(e) for e in sort_list] if sort_list is not None else None

class Expr:

"""Expression object.

Expressions are one of the core concepts in DataFusion. See

:ref:`Expressions` in the online documentation for more information.

"""

def __init__(self, expr: expr_internal.Expr) -> None:

"""This constructor should not be called by the end user."""

self.expr = expr

def to_variant(self) -> Any:

"""Convert this expression into a python object if possible."""

return self.expr.to_variant()

@deprecated(

"display_name() is deprecated. Use :py:meth:`~Expr.schema_name` instead"

)

def display_name(self) -> str:

"""Returns the name of this expression as it should appear in a schema.

This name will not include any CAST expressions.

"""

return self.schema_name()

def schema_name(self) -> str:

"""Returns the name of this expression as it should appear in a schema.

This name will not include any CAST expressions.

"""

return self.expr.schema_name()

def canonical_name(self) -> str:

"""Returns a complete string representation of this expression."""

return self.expr.canonical_name()

def variant_name(self) -> str:

"""Returns the name of the Expr variant.

Ex: ``IsNotNull``, ``Literal``, ``BinaryExpr``, etc

"""

return self.expr.variant_name()

def __richcmp__(self, other: Expr, op: int) -> Expr:

"""Comparison operator."""

return Expr(self.expr.__richcmp__(other, op))

def __repr__(self) -> str:

"""Generate a string representation of this expression."""

return self.expr.__repr__()

def __add__(self, rhs: Any) -> Expr:

"""Addition operator.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__add__(rhs.expr))

def __sub__(self, rhs: Any) -> Expr:

"""Subtraction operator.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__sub__(rhs.expr))

def __truediv__(self, rhs: Any) -> Expr:

"""Division operator.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__truediv__(rhs.expr))

def __mul__(self, rhs: Any) -> Expr:

"""Multiplication operator.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__mul__(rhs.expr))

def __mod__(self, rhs: Any) -> Expr:

"""Modulo operator (%).

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__mod__(rhs.expr))

def __and__(self, rhs: Expr) -> Expr:

"""Logical AND."""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__and__(rhs.expr))

def __or__(self, rhs: Expr) -> Expr:

"""Logical OR."""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__or__(rhs.expr))

def __invert__(self) -> Expr:

"""Binary not (~)."""

return Expr(self.expr.__invert__())

def __getitem__(self, key: str | int) -> Expr:

"""Retrieve sub-object.

If ``key`` is a string, returns the subfield of the struct.

If ``key`` is an integer, retrieves the element in the array. Note that the

element index begins at ``0``, unlike `array_element` which begins at ``1``.

"""

if isinstance(key, int):

return Expr(

functions_internal.array_element(self.expr, Expr.literal(key + 1).expr)

)

return Expr(self.expr.__getitem__(key))

def __eq__(self, rhs: Any) -> Expr:

"""Equal to.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__eq__(rhs.expr))

def __ne__(self, rhs: Any) -> Expr:

"""Not equal to.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__ne__(rhs.expr))

def __ge__(self, rhs: Any) -> Expr:

"""Greater than or equal to.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__ge__(rhs.expr))

def __gt__(self, rhs: Any) -> Expr:

"""Greater than.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__gt__(rhs.expr))

def __le__(self, rhs: Any) -> Expr:

"""Less than or equal to.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__le__(rhs.expr))

def __lt__(self, rhs: Any) -> Expr:

"""Less than.

Accepts either an expression or any valid PyArrow scalar literal value.

"""

if not isinstance(rhs, Expr):

rhs = Expr.literal(rhs)

return Expr(self.expr.__lt__(rhs.expr))

__radd__ = __add__

__rand__ = __and__

__rmod__ = __mod__

__rmul__ = __mul__

__ror__ = __or__

__rsub__ = __sub__

__rtruediv__ = __truediv__

@staticmethod

def literal(value: Any) -> Expr:

"""Creates a new expression representing a scalar value.

``value`` must be a valid PyArrow scalar value or easily castable to one.

"""

if isinstance(value, str):

value = pa.scalar(value, type=pa.string_view())

if not isinstance(value, pa.Scalar):

value = pa.scalar(value)

return Expr(expr_internal.Expr.literal(value))

@staticmethod

def string_literal(value: str) -> Expr:

"""Creates a new expression representing a UTF8 literal value.

It is different from `literal` because it is pa.string() instead of

pa.string_view()

This is needed for cases where DataFusion is expecting a UTF8 instead of

UTF8View literal, like in:

https://github.com/apache/datafusion/blob/86740bfd3d9831d6b7c1d0e1bf4a21d91598a0ac/datafusion/functions/src/core/arrow_cast.rs#L179

"""

if isinstance(value, str):

value = pa.scalar(value, type=pa.string())

return Expr(expr_internal.Expr.literal(value))

return Expr.literal(value)

@staticmethod

def column(value: str) -> Expr:

"""Creates a new expression representing a column."""

return Expr(expr_internal.Expr.column(value))

def alias(self, name: str) -> Expr:

"""Assign a name to the expression."""

return Expr(self.expr.alias(name))

def sort(self, ascending: bool = True, nulls_first: bool = True) -> SortExpr:

"""Creates a sort :py:class:`Expr` from an existing :py:class:`Expr`.

Args:

ascending: If true, sort in ascending order.

nulls_first: Return null values first.

"""

return SortExpr(self.expr, ascending=ascending, nulls_first=nulls_first)

def is_null(self) -> Expr:

"""Returns ``True`` if this expression is null."""

return Expr(self.expr.is_null())

def is_not_null(self) -> Expr:

"""Returns ``True`` if this expression is not null."""

return Expr(self.expr.is_not_null())

def fill_nan(self, value: Any | Expr | None = None) -> Expr:

"""Fill NaN values with a provided value."""

if not isinstance(value, Expr):

value = Expr.literal(value)

return Expr(functions_internal.nanvl(self.expr, value.expr))

def fill_null(self, value: Any | Expr | None = None) -> Expr:

"""Fill NULL values with a provided value."""

if not isinstance(value, Expr):

value = Expr.literal(value)

return Expr(functions_internal.nvl(self.expr, value.expr))

_to_pyarrow_types = {

float: pa.float64(),

int: pa.int64(),

str: pa.string(),

bool: pa.bool_(),

}

def cast(

self, to: pa.DataType[Any] | Type[float] | Type[int] | Type[str] | Type[bool]

) -> Expr:

"""Cast to a new data type."""

if not isinstance(to, pa.DataType):

try:

to = self._to_pyarrow_types[to]

except KeyError:

raise TypeError(

"Expected instance of pyarrow.DataType or builtins.type"

)

return Expr(self.expr.cast(to))

def between(self, low: Any, high: Any, negated: bool = False) -> Expr:

"""Returns ``True`` if this expression is between a given range.

Args:

low: lower bound of the range (inclusive).

high: higher bound of the range (inclusive).

negated: negates whether the expression is between a given range

"""

if not isinstance(low, Expr):

low = Expr.literal(low)

if not isinstance(high, Expr):

high = Expr.literal(high)

return Expr(self.expr.between(low.expr, high.expr, negated=negated))

def rex_type(self) -> RexType:

"""Return the Rex Type of this expression.

A Rex (Row Expression) specifies a single row of data.That specification

could include user defined functions or types. RexType identifies the

row as one of the possible valid ``RexType``.

"""

return self.expr.rex_type()

def types(self) -> DataTypeMap:

"""Return the ``DataTypeMap``.

Returns:

DataTypeMap which represents the PythonType, Arrow DataType, and

SqlType Enum which this expression represents.

"""

return self.expr.types()

def python_value(self) -> Any:

"""Extracts the Expr value into a PyObject.

This is only valid for literal expressions.

Returns:

Python object representing literal value of the expression.

"""

return self.expr.python_value()

def rex_call_operands(self) -> list[Expr]:

"""Return the operands of the expression based on it's variant type.

Row expressions, Rex(s), operate on the concept of operands. Different

variants of Expressions, Expr(s), store those operands in different

datastructures. This function examines the Expr variant and returns

the operands to the calling logic.

"""

return [Expr(e) for e in self.expr.rex_call_operands()]

def rex_call_operator(self) -> str:

"""Extracts the operator associated with a row expression type call."""

return self.expr.rex_call_operator()

def column_name(self, plan: LogicalPlan) -> str:

"""Compute the output column name based on the provided logical plan."""

return self.expr.column_name(plan._raw_plan)

def order_by(self, *exprs: Expr | SortExpr) -> ExprFuncBuilder:

"""Set the ordering for a window or aggregate function.

This function will create an :py:class:`ExprFuncBuilder` that can be used to

set parameters for either window or aggregate functions. If used on any other

type of expression, an error will be generated when ``build()`` is called.

"""

return ExprFuncBuilder(self.expr.order_by([sort_or_default(e) for e in exprs]))

def filter(self, filter: Expr) -> ExprFuncBuilder:

"""Filter an aggregate function.

This function will create an :py:class:`ExprFuncBuilder` that can be used to

set parameters for either window or aggregate functions. If used on any other

type of expression, an error will be generated when ``build()`` is called.

"""

return ExprFuncBuilder(self.expr.filter(filter.expr))

def distinct(self) -> ExprFuncBuilder:

"""Only evaluate distinct values for an aggregate function.

This function will create an :py:class:`ExprFuncBuilder` that can be used to

set parameters for either window or aggregate functions. If used on any other

type of expression, an error will be generated when ``build()`` is called.

"""

return ExprFuncBuilder(self.expr.distinct())

def null_treatment(self, null_treatment: NullTreatment) -> ExprFuncBuilder:

"""Set the treatment for ``null`` values for a window or aggregate function.

This function will create an :py:class:`ExprFuncBuilder` that can be used to

set parameters for either window or aggregate functions. If used on any other

type of expression, an error will be generated when ``build()`` is called.

"""

return ExprFuncBuilder(self.expr.null_treatment(null_treatment.value))

def partition_by(self, *partition_by: Expr) -> ExprFuncBuilder:

"""Set the partitioning for a window function.

This function will create an :py:class:`ExprFuncBuilder` that can be used to

set parameters for either window or aggregate functions. If used on any other

type of expression, an error will be generated when ``build()`` is called.

"""

return ExprFuncBuilder(

self.expr.partition_by(list(e.expr for e in partition_by))

)

def window_frame(self, window_frame: WindowFrame) -> ExprFuncBuilder:

"""Set the frame fora window function.

This function will create an :py:class:`ExprFuncBuilder` that can be used to

set parameters for either window or aggregate functions. If used on any other

type of expression, an error will be generated when ``build()`` is called.

"""

return ExprFuncBuilder(self.expr.window_frame(window_frame.window_frame))

def over(self, window: Window) -> Expr:

"""Turn an aggregate function into a window function.

This function turns any aggregate function into a window function. With the

exception of ``partition_by``, how each of the parameters is used is determined

by the underlying aggregate function.

Args:

window: Window definition

"""

partition_by_raw = expr_list_to_raw_expr_list(window._partition_by)

order_by_raw = sort_list_to_raw_sort_list(window._order_by)

window_frame_raw = (

window._window_frame.window_frame

if window._window_frame is not None

else None

)

null_treatment_raw = (

window._null_treatment.value if window._null_treatment is not None else None

)

return Expr(

self.expr.over(

partition_by=partition_by_raw,

order_by=order_by_raw,

window_frame=window_frame_raw,

null_treatment=null_treatment_raw,

)

class ExprFuncBuilder:

def __init__(self, builder: expr_internal.ExprFuncBuilder):

self.builder = builder

def order_by(self, *exprs: Expr) -> ExprFuncBuilder:

"""Set the ordering for a window or aggregate function.

Values given in ``exprs`` must be sort expressions. You can convert any other

expression to a sort expression using `.sort()`.

"""

return ExprFuncBuilder(

self.builder.order_by([sort_or_default(e) for e in exprs])

)

def filter(self, filter: Expr) -> ExprFuncBuilder:

"""Filter values during aggregation."""

return ExprFuncBuilder(self.builder.filter(filter.expr))

def distinct(self) -> ExprFuncBuilder:

"""Only evaluate distinct values during aggregation."""

return ExprFuncBuilder(self.builder.distinct())

def null_treatment(self, null_treatment: NullTreatment) -> ExprFuncBuilder:

"""Set how nulls are treated for either window or aggregate functions."""

return ExprFuncBuilder(self.builder.null_treatment(null_treatment.value))

def partition_by(self, *partition_by: Expr) -> ExprFuncBuilder:

"""Set partitioning for window functions."""

return ExprFuncBuilder(

self.builder.partition_by(list(e.expr for e in partition_by))

)

def window_frame(self, window_frame: WindowFrame) -> ExprFuncBuilder:

"""Set window frame for window functions."""

return ExprFuncBuilder(self.builder.window_frame(window_frame.window_frame))

def build(self) -> Expr:

"""Create an expression from a Function Builder."""

return Expr(self.builder.build())

class Window:

"""Define reusable window parameters."""

def __init__(

self,

partition_by: Optional[list[Expr]] = None,

window_frame: Optional[WindowFrame] = None,

order_by: Optional[list[SortExpr | Expr]] = None,

null_treatment: Optional[NullTreatment] = None,

) -> None:

"""Construct a window definition.

Args:

partition_by: Partitions for window operation

window_frame: Define the start and end bounds of the window frame

order_by: Set ordering

null_treatment: Indicate how nulls are to be treated

"""

self._partition_by = partition_by

self._window_frame = window_frame

self._order_by = order_by

self._null_treatment = null_treatment

class WindowFrame:

"""Defines a window frame for performing window operations."""

def __init__(

self, units: str, start_bound: Optional[Any], end_bound: Optional[Any]

) -> None:

"""Construct a window frame using the given parameters.

Args:

units: Should be one of ``rows``, ``range``, or ``groups``.

start_bound: Sets the preceding bound. Must be >= 0. If none, this

will be set to unbounded. If unit type is ``groups``, this

parameter must be set.

end_bound: Sets the following bound. Must be >= 0. If none, this

will be set to unbounded. If unit type is ``groups``, this

parameter must be set.

"""

if not isinstance(start_bound, pa.Scalar) and start_bound is not None:

start_bound = pa.scalar(start_bound)

if units == "rows" or units == "groups":

start_bound = start_bound.cast(pa.uint64())

if not isinstance(end_bound, pa.Scalar) and end_bound is not None:

end_bound = pa.scalar(end_bound)

if units == "rows" or units == "groups":

end_bound = end_bound.cast(pa.uint64())

self.window_frame = expr_internal.WindowFrame(units, start_bound, end_bound)

def get_frame_units(self) -> str:

"""Returns the window frame units for the bounds."""

return self.window_frame.get_frame_units()

def get_lower_bound(self) -> WindowFrameBound:

"""Returns starting bound."""

return WindowFrameBound(self.window_frame.get_lower_bound())

def get_upper_bound(self):

"""Returns end bound."""

return WindowFrameBound(self.window_frame.get_upper_bound())

class WindowFrameBound:

"""Defines a single window frame bound.

:py:class:`WindowFrame` typically requires a start and end bound.

"""

def __init__(self, frame_bound: expr_internal.WindowFrameBound) -> None:

"""Constructs a window frame bound."""

self.frame_bound = frame_bound

def get_offset(self) -> int | None:

"""Returns the offset of the window frame."""

return self.frame_bound.get_offset()

def is_current_row(self) -> bool:

"""Returns if the frame bound is current row."""

return self.frame_bound.is_current_row()

def is_following(self) -> bool:

"""Returns if the frame bound is following."""

return self.frame_bound.is_following()

def is_preceding(self) -> bool:

"""Returns if the frame bound is preceding."""

return self.frame_bound.is_preceding()

def is_unbounded(self) -> bool:

"""Returns if the frame bound is unbounded."""

return self.frame_bound.is_unbounded()

class CaseBuilder:

"""Builder class for constructing case statements.

An example usage would be as follows::

import datafusion.functions as f

from datafusion import lit, col

df.select(

f.case(col("column_a")

.when(lit(1), lit("One"))

.when(lit(2), lit("Two"))

.otherwise(lit("Unknown"))

)

"""

def __init__(self, case_builder: expr_internal.CaseBuilder) -> None:

"""Constructs a case builder.

This is not typically called by the end user directly. See

:py:func:`datafusion.functions.case` instead.

"""

self.case_builder = case_builder

def when(self, when_expr: Expr, then_expr: Expr) -> CaseBuilder:

"""Add a case to match against."""

return CaseBuilder(self.case_builder.when(when_expr.expr, then_expr.expr))

def otherwise(self, else_expr: Expr) -> Expr:

"""Set a default value for the case statement."""

return Expr(self.case_builder.otherwise(else_expr.expr))

def end(self) -> Expr:

"""Finish building a case statement.

Any non-matching cases will end in a `null` value.

"""

return Expr(self.case_builder.end())

class SortExpr:

"""Used to specify sorting on either a DataFrame or function."""

def __init__(self, expr: Expr, ascending: bool, nulls_first: bool) -> None:

"""This constructor should not be called by the end user."""

self.raw_sort = expr_internal.SortExpr(expr, ascending, nulls_first)

def expr(self) -> Expr:

"""Return the raw expr backing the SortExpr."""

return Expr(self.raw_sort.expr())

def ascending(self) -> bool:

"""Return ascending property."""

return self.raw_sort.ascending()

def nulls_first(self) -> bool:

"""Return nulls_first property."""

return self.raw_sort.nulls_first()

def __repr__(self) -> str:

"""Generate a string representation of this expression."""

return self.raw_sort.__repr__()

datafusion-python/python/datafusion/expr.py at main · vectorlink-ai/datafusion-python · GitHub

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