forked from apache/datafusion-python
-
Notifications
You must be signed in to change notification settings - Fork 0
/
python-udf.py
42 lines (32 loc) · 1.36 KB
/
python-udf.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
# 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)