forked from apache/datafusion-python
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtest_udaf.py
More file actions
136 lines (104 loc) · 3.53 KB
/
test_udaf.py
File metadata and controls
136 lines (104 loc) · 3.53 KB
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
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
# 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.
from typing import List
import pyarrow as pa
import pyarrow.compute as pc
import pytest
from datafusion import Accumulator, SessionContext, column, udaf
class Summarize(Accumulator):
"""
Interface of a user-defined accumulation.
"""
def __init__(self):
self._sum = pa.scalar(0.0)
def state(self) -> List[pa.Scalar]:
return [self._sum]
def update(self, values: pa.Array) -> None:
# Not nice since pyarrow scalars can't be summed yet.
# This breaks on `None`
self._sum = pa.scalar(self._sum.as_py() + pc.sum(values).as_py())
def merge(self, states: pa.Array) -> None:
# Not nice since pyarrow scalars can't be summed yet.
# This breaks on `None`
self._sum = pa.scalar(self._sum.as_py() + pc.sum(states).as_py())
def evaluate(self) -> pa.Scalar:
return self._sum
class NotSubclassOfAccumulator:
pass
class MissingMethods(Accumulator):
def __init__(self):
self._sum = pa.scalar(0)
def state(self) -> List[pa.Scalar]:
return [self._sum]
@pytest.fixture
def df():
ctx = SessionContext()
# create a RecordBatch and a new DataFrame from it
batch = pa.RecordBatch.from_arrays(
[pa.array([1, 2, 3]), pa.array([4, 4, 6])],
names=["a", "b"],
)
return ctx.create_dataframe([[batch]])
@pytest.mark.skip(reason="df.collect() will hang, need more investigations")
def test_errors(df):
with pytest.raises(TypeError):
udaf(
NotSubclassOfAccumulator,
pa.float64(),
pa.float64(),
[pa.float64()],
volatility="immutable",
)
accum = udaf(
MissingMethods,
pa.int64(),
pa.int64(),
[pa.int64()],
volatility="immutable",
)
df = df.aggregate([], [accum(column("a"))])
msg = (
"Can't instantiate abstract class MissingMethods with abstract "
"methods evaluate, merge, update"
)
with pytest.raises(Exception, match=msg):
df.collect()
def test_aggregate(df):
summarize = udaf(
Summarize,
pa.float64(),
pa.float64(),
[pa.float64()],
volatility="immutable",
)
df = df.aggregate([], [summarize(column("a"))])
# execute and collect the first (and only) batch
result = df.collect()[0]
assert result.column(0) == pa.array([1.0 + 2.0 + 3.0])
def test_group_by(df):
summarize = udaf(
Summarize,
pa.float64(),
pa.float64(),
[pa.float64()],
volatility="immutable",
)
df = df.aggregate([column("b")], [summarize(column("a"))])
batches = df.collect()
arrays = [batch.column(1) for batch in batches]
joined = pa.concat_arrays(arrays)
assert joined == pa.array([1.0 + 2.0, 3.0])