# 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 import pyarrow as pa from datafusion import col # create a context ctx = datafusion.SessionContext() # create a RecordBatch and a new DataFrame from it batch = pa.RecordBatch.from_arrays( [pa.array([1, 2, 3]), pa.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) == pa.array([5, 7, 9]) assert result.column(1) == pa.array([-3, -3, -3])