# 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 pyarrow from datafusion import udf, SessionContext, functions as f def is_null(array: pyarrow.Array) -> pyarrow.Array: return array.is_null() is_null_arr = udf(is_null, [pyarrow.int64()], pyarrow.bool_(), "stable") # create a context ctx = 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]]) df = df.select(is_null_arr(f.col("a"))) result = df.collect()[0] assert result.column(0) == pyarrow.array([False] * 3)