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__init__.py
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115 lines (90 loc) · 2.55 KB
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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.
"""DataFusion python package.
This is a Python library that binds to Apache Arrow in-memory query engine DataFusion.
See https://datafusion.apache.org/python for more information.
"""
try:
import importlib.metadata as importlib_metadata
except ImportError:
import importlib_metadata
from .context import (
SessionContext,
SessionConfig,
RuntimeConfig,
SQLOptions,
)
from .catalog import Catalog, Database, Table
# The following imports are okay to remain as opaque to the user.
from ._internal import Config, LogicalPlan, ExecutionPlan, runtime
from .record_batch import RecordBatchStream, RecordBatch
from .udf import ScalarUDF, AggregateUDF, Accumulator
from .common import (
DFSchema,
)
from .dataframe import DataFrame
from .expr import (
Expr,
WindowFrame,
)
from . import functions, object_store, substrait
__version__ = importlib_metadata.version(__name__)
__all__ = [
"Accumulator",
"Config",
"DataFrame",
"SessionContext",
"SessionConfig",
"SQLOptions",
"RuntimeConfig",
"Expr",
"ScalarUDF",
"WindowFrame",
"column",
"col",
"literal",
"lit",
"DFSchema",
"runtime",
"Catalog",
"Database",
"Table",
"AggregateUDF",
"LogicalPlan",
"ExecutionPlan",
"RecordBatch",
"RecordBatchStream",
"common",
"expr",
"functions",
"object_store",
"substrait",
]
def column(value: str):
"""Create a column expression."""
return Expr.column(value)
def col(value: str):
"""Create a column expression."""
return Expr.column(value)
def literal(value):
"""Create a literal expression."""
return Expr.literal(value)
def lit(value):
"""Create a literal expression."""
return Expr.literal(value)
udf = ScalarUDF.udf
udaf = AggregateUDF.udaf