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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.
"""
# ruff: noqa: PLC0415
from
__future__
import
annotations
from
collections
.
abc
import
Iterable
,
Sequence
from
typing
import
TYPE_CHECKING
,
Any
,
ClassVar
import
pyarrow
as
pa
from
.
_internal
import
expr
as
expr_internal
from
.
_internal
import
functions
as
functions_internal
if
TYPE_CHECKING
:
from
collections
.
abc
import
Sequence
from
datafusion
.
common
import
(
# type: ignore[import]
DataTypeMap
,
NullTreatment
,
RexType
,
)
from
datafusion
.
plan
import
LogicalPlan
# Standard error message for invalid expression types
# Mention both alias forms of column and literal helpers
EXPR_TYPE_ERROR
=
"Use col()/column() or lit()/literal() to construct expressions"
# 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
CopyTo
=
expr_internal
.
CopyTo
CreateCatalog
=
expr_internal
.
CreateCatalog
CreateCatalogSchema
=
expr_internal
.
CreateCatalogSchema
CreateExternalTable
=
expr_internal
.
CreateExternalTable
CreateFunction
=
expr_internal
.
CreateFunction
CreateFunctionBody
=
expr_internal
.
CreateFunctionBody
CreateIndex
=
expr_internal
.
CreateIndex
CreateMemoryTable
=
expr_internal
.
CreateMemoryTable
CreateView
=
expr_internal
.
CreateView
Deallocate
=
expr_internal
.
Deallocate
DescribeTable
=
expr_internal
.
DescribeTable
Distinct
=
expr_internal
.
Distinct
DmlStatement
=
expr_internal
.
DmlStatement
DropCatalogSchema
=
expr_internal
.
DropCatalogSchema
DropFunction
=
expr_internal
.
DropFunction
DropTable
=
expr_internal
.
DropTable
DropView
=
expr_internal
.
DropView
EmptyRelation
=
expr_internal
.
EmptyRelation
Execute
=
expr_internal
.
Execute
Exists
=
expr_internal
.
Exists
Explain
=
expr_internal
.
Explain
Extension
=
expr_internal
.
Extension
FileType
=
expr_internal
.
FileType
Filter
=
expr_internal
.
Filter
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
OperateFunctionArg
=
expr_internal
.
OperateFunctionArg
Partitioning
=
expr_internal
.
Partitioning
Placeholder
=
expr_internal
.
Placeholder
Prepare
=
expr_internal
.
Prepare
Projection
=
expr_internal
.
Projection
RecursiveQuery
=
expr_internal
.
RecursiveQuery
Repartition
=
expr_internal
.
Repartition
ScalarSubquery
=
expr_internal
.
ScalarSubquery
ScalarVariable
=
expr_internal
.
ScalarVariable
SetVariable
=
expr_internal
.
SetVariable
SimilarTo
=
expr_internal
.
SimilarTo
Sort
=
expr_internal
.
Sort
Subquery
=
expr_internal
.
Subquery
SubqueryAlias
=
expr_internal
.
SubqueryAlias
TableScan
=
expr_internal
.
TableScan
TransactionAccessMode
=
expr_internal
.
TransactionAccessMode
TransactionConclusion
=
expr_internal
.
TransactionConclusion
TransactionEnd
=
expr_internal
.
TransactionEnd
TransactionIsolationLevel
=
expr_internal
.
TransactionIsolationLevel
TransactionStart
=
expr_internal
.
TransactionStart
TryCast
=
expr_internal
.
TryCast
Union
=
expr_internal
.
Union
Unnest
=
expr_internal
.
Unnest
UnnestExpr
=
expr_internal
.
UnnestExpr
Values
=
expr_internal
.
Values
WindowExpr
=
expr_internal
.
WindowExpr
__all__
=
[
"EXPR_TYPE_ERROR"
,
"Aggregate"
,
"AggregateFunction"
,
"Alias"
,
"Analyze"
,
"Between"
,
"BinaryExpr"
,
"Case"
,
"CaseBuilder"
,
"Cast"
,
"Column"
,
"CopyTo"
,
"CreateCatalog"
,
"CreateCatalogSchema"
,
"CreateExternalTable"
,
"CreateFunction"
,
"CreateFunctionBody"
,
"CreateIndex"
,
"CreateMemoryTable"
,
"CreateView"
,
"Deallocate"
,
"DescribeTable"
,
"Distinct"
,
"DmlStatement"
,
"DropCatalogSchema"
,
"DropFunction"
,
"DropTable"
,
"DropView"
,
"EmptyRelation"
,
"Execute"
,
"Exists"
,
"Explain"
,
"Expr"
,
"Extension"
,
"FileType"
,
"Filter"
,
"GroupingSet"
,
"ILike"
,
"InList"
,
"InSubquery"
,
"IsFalse"
,
"IsNotFalse"
,
"IsNotNull"
,
"IsNotTrue"
,
"IsNotUnknown"
,
"IsNull"
,
"IsTrue"
,
"IsUnknown"
,
"Join"
,
"JoinConstraint"
,
"JoinType"
,
"Like"
,
"Limit"
,
"Literal"
,
"Literal"
,
"Negative"
,
"Not"
,
"OperateFunctionArg"
,
"Partitioning"
,
"Placeholder"
,
"Prepare"
,
"Projection"
,
"RecursiveQuery"
,
"Repartition"
,
"ScalarSubquery"
,
"ScalarVariable"
,
"SetVariable"
,
"SimilarTo"
,
"Sort"
,
"SortExpr"
,
"SortKey"
,
"Subquery"
,
"SubqueryAlias"
,
"TableScan"
,
"TransactionAccessMode"
,
"TransactionConclusion"
,
"TransactionEnd"
,
"TransactionIsolationLevel"
,
"TransactionStart"
,
"TryCast"
,
"Union"
,
"Unnest"
,
"UnnestExpr"
,
"Values"
,
"Window"
,
"WindowExpr"
,
"WindowFrame"
,
"WindowFrameBound"
,
"ensure_expr"
,
"ensure_expr_list"
,
]
def
ensure_expr
(
value
:
Expr
|
Any
)
->
expr_internal
.
Expr
:
"""Return the internal expression from ``Expr`` or raise ``TypeError``.
This helper rejects plain strings and other non-:class:`Expr` values so
higher level APIs consistently require explicit :func:`~datafusion.col` or
:func:`~datafusion.lit` expressions.
Args:
value: Candidate expression or other object.
Returns:
The internal expression representation.
Raises:
TypeError: If ``value`` is not an instance of :class:`Expr`.
"""
if
not
isinstance
(
value
,
Expr
):
raise
TypeError
(
EXPR_TYPE_ERROR
)
return
value
.
expr
def
ensure_expr_list
(
exprs
:
Iterable
[
Expr
|
Iterable
[
Expr
]],
)
->
list
[
expr_internal
.
Expr
]:
"""Flatten an iterable of expressions, validating each via ``ensure_expr``.
Args:
exprs: Possibly nested iterable containing expressions.
Returns:
A flat list of raw expressions.
Raises:
TypeError: If any item is not an instance of :class:`Expr`.
"""
def
_iter
(
items
:
Iterable
[
Expr
|
Iterable
[
Expr
]],
)
->
Iterable
[
expr_internal
.
Expr
]:
for
expr
in
items
:
if
isinstance
(
expr
,
Iterable
)
and
not
isinstance
(
expr
,
Expr
|
str
|
bytes
|
bytearray
):
# Treat string-like objects as atomic to surface standard errors
yield
from
_iter
(
expr
)
else
:
yield
ensure_expr
(
expr
)
return
list
(
_iter
(
exprs
))
def
_to_raw_expr
(
value
:
Expr
|
str
)
->
expr_internal
.
Expr
:
"""Convert a Python expression or column name to its raw variant.
Args:
value: Candidate expression or column name.
Returns:
The internal :class:`~datafusion._internal.expr.Expr` representation.
Raises:
TypeError: If ``value`` is neither an :class:`Expr` nor ``str``.
"""
if
isinstance
(
value
,
str
):
return
Expr
.
column
(
value
).
expr
if
isinstance
(
value
,
Expr
):
return
value
.
expr
error
=
(
"Expected Expr or column name, found:"
f"
{
type
(
value
).
__name__
}
.
{
EXPR_TYPE_ERROR
}
."
)
raise
TypeError
(
error
)
def
expr_list_to_raw_expr_list
(
expr_list
:
list
[
Expr
]
|
Expr
|
None
,
)
->
list
[
expr_internal
.
Expr
]
|
None
:
"""Convert a sequence of expressions or column names to raw expressions."""
if
isinstance
(
expr_list
,
Expr
|
str
):
expr_list
=
[
expr_list
]
if
expr_list
is
None
:
return
None
return
[
_to_raw_expr
(
e
)
for
e
in
expr_list
]
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
,
ascending
=
True
,
nulls_first
=
True
).
raw_sort
def
sort_list_to_raw_sort_list
(
sort_list
:
Sequence
[
SortKey
]
|
SortKey
|
None
,
)
->
list
[
expr_internal
.
SortExpr
]
|
None
:
"""Helper function to return an optional sort list to raw variant."""
if
isinstance
(
sort_list
,
Expr
|
SortExpr
|
str
):
sort_list
=
[
sort_list
]
if
sort_list
is
None
:
return
None
raw_sort_list
=
[]
for
item
in
sort_list
:
if
isinstance
(
item
,
SortExpr
):
raw_sort_list
.
append
(
sort_or_default
(
item
))
else
:
raw_expr
=
_to_raw_expr
(
item
)
# may raise ``TypeError``
raw_sort_list
.
append
(
sort_or_default
(
Expr
(
raw_expr
)))
return
raw_sort_list
class
Expr
:
# noqa: PLW1641
"""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
.
RawExpr
)
->
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
()
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
.
expr
,
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
:py:func:`~datafusion.functions.array_element` which begins at ``1``.
If ``key`` is a slice, returns an array that contains a slice of the
original array. Similar to integer indexing, this follows Python convention
where the index begins at ``0`` unlike
:py:func:`~datafusion.functions.array_slice` which begins at ``1``.
"""
if
isinstance
(
key
,
int
):
return
Expr
(
functions_internal
.
array_element
(
self
.
expr
,
Expr
.
literal
(
key
+
1
).
expr
)
)
if
isinstance
(
key
,
slice
):
if
isinstance
(
key
.
start
,
int
):
start
=
Expr
.
literal
(
key
.
start
+
1
).
expr
elif
isinstance
(
key
.
start
,
Expr
):
start
=
(
key
.
start
+
Expr
.
literal
(
1
)).
expr
else
:
# Default start at the first element, index 1
start
=
Expr
.
literal
(
1
).
expr
if
isinstance
(
key
.
stop
,
int
):
stop
=
Expr
.
literal
(
key
.
stop
).
expr
else
:
stop
=
key
.
stop
.
expr
if
isinstance
(
key
.
step
,
int
):
step
=
Expr
.
literal
(
key
.
step
).
expr
elif
isinstance
(
key
.
step
,
Expr
):
step
=
key
.
step
.
expr
else
:
step
=
key
.
step
return
Expr
(
functions_internal
.
array_slice
(
self
.
expr
,
start
,
stop
,
step
))
return
Expr
(
self
.
expr
.
__getitem__
(
key
))
def
__eq__
(
self
,
rhs
:
object
)
->
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
:
object
)
->
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
())
return
Expr
(
expr_internal
.
RawExpr
.
literal
(
value
))
@
staticmethod
def
literal_with_metadata
(
value
:
Any
,
metadata
:
dict
[
str
,
str
])
->
Expr
:
"""Creates a new expression representing a scalar value with metadata.
Args:
value: A valid PyArrow scalar value or easily castable to one.
metadata: Metadata to attach to the expression.
"""
if
isinstance
(
value
,
str
):
value
=
pa
.
scalar
(
value
,
type
=
pa
.
string_view
())
return
Expr
(
expr_internal
.
RawExpr
.
literal_with_metadata
(
value
,
metadata
))
@
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
.
RawExpr
.
literal
(
value
))
return
Expr
.
literal
(
value
)
@
staticmethod
def
column
(
value
:
str
)
->
Expr
:
"""Creates a new expression representing a column."""
return
Expr
(
expr_internal
.
RawExpr
.
column
(
value
))
def
alias
(
self
,
name
:
str
,
metadata
:
dict
[
str
,
str
]
|
None
=
None
)
->
Expr
:
"""Assign a name to the expression.
Args:
name: The name to assign to the expression.
metadata: Optional metadata to attach to the expression.
Returns:
A new expression with the assigned name.
"""
return
Expr
(
self
.
expr
.
alias
(
name
,
metadata
))
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
,
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
:
ClassVar
[
dict
[
type
,
pa
.
DataType
]]
=
{
float
:
pa
.
float64
(),
int
:
pa
.
int64
(),
str
:
pa
.
string
(),
bool
:
pa
.
bool_
(),
}
def
cast
(
self
,
to
:
pa
.
DataType
[
Any
]
|
type
)
->
Expr
:
"""Cast to a new data type."""
if
not
isinstance
(
to
,
pa
.
DataType
):
try
:
to
=
self
.
_to_pyarrow_types
[
to
]
except
KeyError
as
err
:
error_msg
=
"Expected instance of pyarrow.DataType or builtins.type"
raise
TypeError
(
error_msg
)
from
err
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 `Any`.
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
([
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
=
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
,
)
)
def
asin
(
self
)
->
Expr
:
"""Returns the arc sine or inverse sine of a number."""
from
.
import
functions
as
F
return
F
.
asin
(
self
)
def
array_pop_back
(
self
)
->
Expr
:
"""Returns the array without the last element."""
from
.
import
functions
as
F
return
F
.
array_pop_back
(
self
)
def
reverse
(
self
)
->
Expr
:
"""Reverse the string argument."""
from
.
import
functions
as
F
return
F
.
reverse
(
self
)
def
bit_length
(
self
)
->
Expr
:
"""Returns the number of bits in the string argument."""
from
.
import
functions
as
F
return
F
.
bit_length
(
self
)
def
array_length
(
self
)
->
Expr
:
"""Returns the length of the array."""
from
.
import
functions
as
F
return
F
.
array_length
(
self
)
def
array_ndims
(
self
)
->
Expr
:
"""Returns the number of dimensions of the array."""
from
.
import
functions
as
F
return
F
.
array_ndims
(
self
)
def
to_hex
(
self
)
->
Expr
:
"""Converts an integer to a hexadecimal string."""
from
.
import
functions
as
F
return
F
.
to_hex
(
self
)
def
array_dims
(
self
)
->
Expr
:
"""Returns an array of the array's dimensions."""
from
.
import
functions
as
F
return
F
.
array_dims
(
self
)
def
from_unixtime
(
self
)
->
Expr
:
"""Converts an integer to RFC3339 timestamp format string."""
from
.
import
functions
as
F
return
F
.
from_unixtime
(
self
)
def
array_empty
(
self
)
->
Expr
:
"""Returns a boolean indicating whether the array is empty."""
from
.
import
functions
as
F
return
F
.
array_empty
(
self
)
def
sin
(
self
)
->
Expr
:
"""Returns the sine of the argument."""
from
.
import
functions
as
F
return
F
.
sin
(
self
)
def
log10
(
self
)
->
Expr
:
"""Base 10 logarithm of the argument."""
from
.
import
functions
as
F
return
F
.
log10
(
self
)
def
initcap
(
self
)
->
Expr
:
"""Set the initial letter of each word to capital.
Converts the first letter of each word in ``string`` to uppercase and the
remaining characters to lowercase.
"""
from
.
import
functions
as
F
return
F
.
initcap
(
self
)
def
list_distinct
(
self
)
->
Expr
:
"""Returns distinct values from the array after removing duplicates.
This is an alias for :py:func:`array_distinct`.
"""
from
.
import
functions
as
F
return
F
.
list_distinct
(
self
)
def
iszero
(
self
)
->
Expr
:
"""Returns true if a given number is +0.0 or -0.0 otherwise returns false."""
from
.
import
functions
as
F
return
F
.
iszero
(
self
)
def
array_distinct
(
self
)
->
Expr
:
"""Returns distinct values from the array after removing duplicates."""
from
.
import
functions
as
F
return
F
.
array_distinct
(
self
)
def
arrow_typeof
(
self
)
->
Expr
:
"""Returns the Arrow type of the expression."""
from
.
import
functions
as
F
return
F
.
arrow_typeof
(
self
)
def
length
(
self
)
->
Expr
:
"""The number of characters in the ``string``."""
from
.
import
functions
as
F
return
F
.
length
(
self
)
def
lower
(
self
)
->
Expr
:
"""Converts a string to lowercase."""
from
.
import
functions
as
F
return
F
.
lower
(
self
)
def
acos
(
self
)
->
Expr
:
"""Returns the arc cosine or inverse cosine of a number.
Returns:
--------
Expr
A new expression representing the arc cosine of the input expression.
"""
from
.
import
functions
as
F
return
F
.
acos
(
self
)
def
ascii
(
self
)
->
Expr
:
"""Returns the numeric code of the first character of the argument."""
from
.
import
functions
as
F
return
F
.
ascii
(
self
)
def
sha384
(
self
)
->
Expr
:
"""Computes the SHA-384 hash of a binary string."""
from
.
import
functions
as
F
return
F
.
sha384
(
self
)
def
isnan
(
self
)
->
Expr
:
"""Returns true if a given number is +NaN or -NaN otherwise returns false."""
from
.
import
functions
as
F
return
F
.
isnan
(
self
)
def
degrees
(
self
)
->
Expr
:
"""Converts the argument from radians to degrees."""
from
.
import
functions
as
F
return
F
.
degrees
(
self
)
def
cardinality
(
self
)
->
Expr
:
"""Returns the total number of elements in the array."""
from
.
import
functions
as
F
return
F
.
cardinality
(
self
)
def
sha224
(
self
)
->
Expr
:
"""Computes the SHA-224 hash of a binary string."""
from
.
import
functions
as
F
return
F
.
sha224
(
self
)
def
asinh
(
self
)
->
Expr
:
"""Returns inverse hyperbolic sine."""
from
.
import
functions
as
F
return
F
.
asinh
(
self
)
def
flatten
(
self
)
->
Expr
:
"""Flattens an array of arrays into a single array."""
from
.
import
functions
as
F
return
F
.
flatten
(
self
)
def
exp
(
self
)
->
Expr
:
"""Returns the exponential of the argument."""
from
.
import
functions
as
F
return
F
.
exp
(
self
)
def
abs
(
self
)
->
Expr
:
"""Return the absolute value of a given number.
Returns:
--------
Expr
A new expression representing the absolute value of the input expression.
"""
from
.
import
functions
as
F
return
F
.
abs
(
self
)
def
btrim
(
self
)
->
Expr
:
"""Removes all characters, spaces by default, from both sides of a string."""
from
.
import
functions
as
F
return
F
.
btrim
(
self
)
def
md5
(
self
)
->
Expr
:
"""Computes an MD5 128-bit checksum for a string expression."""
from
.
import
functions
as
F
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