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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.

import datafusion

from datafusion import col

import pyarrow

# create a context

ctx = datafusion.SessionContext()

# create a RecordBatch and a new DataFrame from it

batch = pyarrow.RecordBatch.from_arrays(

[pyarrow.array([1, 2, 3]), pyarrow.array([4, 5, 6])],

names=["a", "b"],

)

df = ctx.create_dataframe([[batch]])

# create a new statement

df = df.select(

col("a") + col("b"),

col("a") - col("b"),

)

# execute and collect the first (and only) batch

result = df.collect()[0]

assert result.column(0) == pyarrow.array([5, 7, 9])

assert result.column(1) == pyarrow.array([-3, -3, -3])