-
Notifications
You must be signed in to change notification settings - Fork 28k
/
connectutils.py
167 lines (138 loc) · 5.06 KB
/
connectutils.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
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
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
#
# 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 shutil
import tempfile
import typing
import os
import functools
import unittest
from pyspark import Row, SparkConf
from pyspark.testing.utils import PySparkErrorTestUtils
from pyspark.testing.sqlutils import (
have_pandas,
pandas_requirement_message,
pyarrow_requirement_message,
SQLTestUtils,
)
from pyspark.sql.session import SparkSession as PySparkSession
grpc_requirement_message = None
try:
import grpc
except ImportError as e:
grpc_requirement_message = str(e)
have_grpc = grpc_requirement_message is None
grpc_status_requirement_message = None
try:
import grpc_status
except ImportError as e:
grpc_status_requirement_message = str(e)
have_grpc_status = grpc_status_requirement_message is None
googleapis_common_protos_requirement_message = None
try:
from google.rpc import error_details_pb2
except ImportError as e:
googleapis_common_protos_requirement_message = str(e)
have_googleapis_common_protos = googleapis_common_protos_requirement_message is None
connect_requirement_message = (
pandas_requirement_message
or pyarrow_requirement_message
or grpc_requirement_message
or googleapis_common_protos_requirement_message
or grpc_status_requirement_message
)
should_test_connect: str = typing.cast(str, connect_requirement_message is None)
if should_test_connect:
from pyspark.sql.connect.dataframe import DataFrame
from pyspark.sql.connect.plan import Read, Range, SQL
from pyspark.sql.connect.session import SparkSession
class MockRemoteSession:
def __init__(self):
self.hooks = {}
def set_hook(self, name, hook):
self.hooks[name] = hook
def drop_hook(self, name):
self.hooks.pop(name)
def __getattr__(self, item):
if item not in self.hooks:
raise LookupError(f"{item} is not defined as a method hook in MockRemoteSession")
return functools.partial(self.hooks[item])
@unittest.skipIf(not should_test_connect, connect_requirement_message)
class PlanOnlyTestFixture(unittest.TestCase):
@classmethod
def _read_table(cls, table_name):
return DataFrame.withPlan(Read(table_name), cls.connect)
@classmethod
def _udf_mock(cls, *args, **kwargs):
return "internal_name"
@classmethod
def _session_range(
cls,
start,
end,
step=1,
num_partitions=None,
):
return DataFrame.withPlan(Range(start, end, step, num_partitions), cls.connect)
@classmethod
def _session_sql(cls, query):
return DataFrame.withPlan(SQL(query), cls.connect)
if have_pandas:
@classmethod
def _with_plan(cls, plan):
return DataFrame.withPlan(plan, cls.connect)
@classmethod
def setUpClass(cls):
cls.connect = MockRemoteSession()
cls.session = SparkSession.builder.remote().getOrCreate()
cls.tbl_name = "test_connect_plan_only_table_1"
cls.connect.set_hook("readTable", cls._read_table)
cls.connect.set_hook("range", cls._session_range)
cls.connect.set_hook("sql", cls._session_sql)
cls.connect.set_hook("with_plan", cls._with_plan)
@classmethod
def tearDownClass(cls):
cls.connect.drop_hook("readTable")
cls.connect.drop_hook("range")
cls.connect.drop_hook("sql")
cls.connect.drop_hook("with_plan")
@unittest.skipIf(not should_test_connect, connect_requirement_message)
class ReusedConnectTestCase(unittest.TestCase, SQLTestUtils, PySparkErrorTestUtils):
"""
Spark Connect version of :class:`pyspark.testing.sqlutils.ReusedSQLTestCase`.
"""
@classmethod
def conf(cls):
"""
Override this in subclasses to supply a more specific conf
"""
return SparkConf(loadDefaults=False)
@classmethod
def setUpClass(cls):
cls.spark = (
PySparkSession.builder.config(conf=cls.conf())
.appName(cls.__name__)
.remote("local[4]")
.getOrCreate()
)
cls.tempdir = tempfile.NamedTemporaryFile(delete=False)
os.unlink(cls.tempdir.name)
cls.testData = [Row(key=i, value=str(i)) for i in range(100)]
cls.df = cls.spark.createDataFrame(cls.testData)
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.tempdir.name, ignore_errors=True)
cls.spark.stop()