Source code for pyspark.sql.table_arg
#
# 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.
#
# mypy: disable-error-code="empty-body"
from typing import TYPE_CHECKING
from pyspark.sql.tvf_argument import TableValuedFunctionArgument
from pyspark.sql.utils import dispatch_table_arg_method
if TYPE_CHECKING:
from pyspark.sql._typing import ColumnOrName
[docs]class TableArg(TableValuedFunctionArgument):
"""
Represents a table argument in PySpark.
This class provides methods to specify partitioning, ordering, and
single-partition constraints when passing a DataFrame as a table argument
to TVF(Table-Valued Function)s including UDTF(User-Defined Table Function)s.
"""
[docs] @dispatch_table_arg_method
def partitionBy(self, *cols: "ColumnOrName") -> "TableArg":
"""
Partitions the data based on the specified columns.
"""
...
[docs] @dispatch_table_arg_method
def orderBy(self, *cols: "ColumnOrName") -> "TableArg":
"""
Orders the data within each partition by the specified columns.
"""
...
[docs] @dispatch_table_arg_method
def withSinglePartition(self) -> "TableArg":
"""
Forces the data to be processed in a single partition.
"""
...