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query-pyarrow-data.py
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query-pyarrow-data.py
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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])