Repository navigation
Expand file tree
/
Copy pathrun-tests.py
More file actions
executable file
·286 lines (253 loc) · 11.7 KB
/
Copy pathrun-tests.py
File metadata and controls
executable file
·286 lines (253 loc) · 11.7 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
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
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
#!/usr/bin/env python
#
# 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 __future__ import print_function
import logging
from optparse import OptionParser
import os
import re
import subprocess
import sys
import tempfile
from threading import Thread, Lock
import time
if sys.version < '3':
import Queue
else:
import queue as Queue
from distutils.version import LooseVersion
# Append `SPARK_HOME/dev` to the Python path so that we can import the sparktestsupport module
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../dev/"))
from sparktestsupport import SPARK_HOME # noqa (suppress pep8 warnings)
from sparktestsupport.shellutils import which, subprocess_check_output # noqa
from sparktestsupport.modules import all_modules, pyspark_sql # noqa
python_modules = dict((m.name, m) for m in all_modules if m.python_test_goals if m.name != 'root')
def print_red(text):
print('\033[31m' + text + '\033[0m')
LOG_FILE = os.path.join(SPARK_HOME, "python/unit-tests.log")
FAILURE_REPORTING_LOCK = Lock()
LOGGER = logging.getLogger()
# Find out where the assembly jars are located.
# Later, add back 2.12 to this list:
# for scala in ["2.11", "2.12"]:
for scala in ["2.11"]:
build_dir = os.path.join(SPARK_HOME, "assembly", "target", "scala-" + scala)
if os.path.isdir(build_dir):
SPARK_DIST_CLASSPATH = os.path.join(build_dir, "jars", "*")
break
else:
raise Exception("Cannot find assembly build directory, please build Spark first.")
def run_individual_python_test(test_name, pyspark_python):
env = dict(os.environ)
env.update({
'SPARK_DIST_CLASSPATH': SPARK_DIST_CLASSPATH,
'SPARK_TESTING': '1',
'SPARK_PREPEND_CLASSES': '1',
'PYSPARK_PYTHON': which(pyspark_python),
'PYSPARK_DRIVER_PYTHON': which(pyspark_python)
})
LOGGER.info("Starting test(%s): %s", pyspark_python, test_name)
start_time = time.time()
try:
per_test_output = tempfile.TemporaryFile()
retcode = subprocess.Popen(
[os.path.join(SPARK_HOME, "bin/pyspark"), test_name],
stderr=per_test_output, stdout=per_test_output, env=env).wait()
except:
LOGGER.exception("Got exception while running %s with %s", test_name, pyspark_python)
# Here, we use os._exit() instead of sys.exit() in order to force Python to exit even if
# this code is invoked from a thread other than the main thread.
os._exit(1)
duration = time.time() - start_time
# Exit on the first failure.
if retcode != 0:
try:
with FAILURE_REPORTING_LOCK:
with open(LOG_FILE, 'ab') as log_file:
per_test_output.seek(0)
log_file.writelines(per_test_output)
per_test_output.seek(0)
for line in per_test_output:
decoded_line = line.decode()
if not re.match('[0-9]+', decoded_line):
print(decoded_line, end='')
per_test_output.close()
except:
LOGGER.exception("Got an exception while trying to print failed test output")
finally:
print_red("\nHad test failures in %s with %s; see logs." % (test_name, pyspark_python))
# Here, we use os._exit() instead of sys.exit() in order to force Python to exit even if
# this code is invoked from a thread other than the main thread.
os._exit(-1)
else:
per_test_output.close()
LOGGER.info("Finished test(%s): %s (%is)", pyspark_python, test_name, duration)
def get_default_python_executables():
python_execs = [x for x in ["python2.7", "python3.4", "pypy"] if which(x)]
if "python2.7" not in python_execs:
LOGGER.warning("Not testing against `python2.7` because it could not be found; falling"
" back to `python` instead")
python_execs.insert(0, "python")
return python_execs
def parse_opts():
parser = OptionParser(
prog="run-tests"
)
parser.add_option(
"--python-executables", type="string", default=','.join(get_default_python_executables()),
help="A comma-separated list of Python executables to test against (default: %default)"
)
parser.add_option(
"--modules", type="string",
default=",".join(sorted(python_modules.keys())),
help="A comma-separated list of Python modules to test (default: %default)"
)
parser.add_option(
"-p", "--parallelism", type="int", default=4,
help="The number of suites to test in parallel (default %default)"
)
parser.add_option(
"--verbose", action="store_true",
help="Enable additional debug logging"
)
(opts, args) = parser.parse_args()
if args:
parser.error("Unsupported arguments: %s" % ' '.join(args))
if opts.parallelism < 1:
parser.error("Parallelism cannot be less than 1")
return opts
def _check_dependencies(python_exec, modules_to_test):
if "COVERAGE_PROCESS_START" in os.environ:
# Make sure if coverage is installed.
try:
subprocess_check_output(
[python_exec, "-c", "import coverage"],
stderr=open(os.devnull, 'w'))
except:
print_red("Coverage is not installed in Python executable '%s' "
"but 'COVERAGE_PROCESS_START' environment variable is set, "
"exiting." % python_exec)
sys.exit(-1)
# If we should test 'pyspark-sql', it checks if PyArrow and Pandas are installed and
# explicitly prints out. See SPARK-23300.
if pyspark_sql in modules_to_test:
# TODO(HyukjinKwon): Relocate and deduplicate these version specifications.
minimum_pyarrow_version = '0.8.0'
minimum_pandas_version = '0.19.2'
try:
pyarrow_version = subprocess_check_output(
[python_exec, "-c", "import pyarrow; print(pyarrow.__version__)"],
universal_newlines=True,
stderr=open(os.devnull, 'w')).strip()
if LooseVersion(pyarrow_version) >= LooseVersion(minimum_pyarrow_version):
LOGGER.info("Will test PyArrow related features against Python executable "
"'%s' in '%s' module." % (python_exec, pyspark_sql.name))
else:
LOGGER.warning(
"Will skip PyArrow related features against Python executable "
"'%s' in '%s' module. PyArrow >= %s is required; however, PyArrow "
"%s was found." % (
python_exec, pyspark_sql.name, minimum_pyarrow_version, pyarrow_version))
except:
LOGGER.warning(
"Will skip PyArrow related features against Python executable "
"'%s' in '%s' module. PyArrow >= %s is required; however, PyArrow "
"was not found." % (python_exec, pyspark_sql.name, minimum_pyarrow_version))
try:
pandas_version = subprocess_check_output(
[python_exec, "-c", "import pandas; print(pandas.__version__)"],
universal_newlines=True,
stderr=open(os.devnull, 'w')).strip()
if LooseVersion(pandas_version) >= LooseVersion(minimum_pandas_version):
LOGGER.info("Will test Pandas related features against Python executable "
"'%s' in '%s' module." % (python_exec, pyspark_sql.name))
else:
LOGGER.warning(
"Will skip Pandas related features against Python executable "
"'%s' in '%s' module. Pandas >= %s is required; however, Pandas "
"%s was found." % (
python_exec, pyspark_sql.name, minimum_pandas_version, pandas_version))
except:
LOGGER.warning(
"Will skip Pandas related features against Python executable "
"'%s' in '%s' module. Pandas >= %s is required; however, Pandas "
"was not found." % (python_exec, pyspark_sql.name, minimum_pandas_version))
def main():
opts = parse_opts()
if (opts.verbose):
log_level = logging.DEBUG
else:
log_level = logging.INFO
logging.basicConfig(stream=sys.stdout, level=log_level, format="%(message)s")
LOGGER.info("Running PySpark tests. Output is in %s", LOG_FILE)
if os.path.exists(LOG_FILE):
os.remove(LOG_FILE)
python_execs = opts.python_executables.split(',')
modules_to_test = []
for module_name in opts.modules.split(','):
if module_name in python_modules:
modules_to_test.append(python_modules[module_name])
else:
print("Error: unrecognized module '%s'. Supported modules: %s" %
(module_name, ", ".join(python_modules)))
sys.exit(-1)
LOGGER.info("Will test against the following Python executables: %s", python_execs)
LOGGER.info("Will test the following Python modules: %s", [x.name for x in modules_to_test])
task_queue = Queue.PriorityQueue()
for python_exec in python_execs:
# Check if the python executable has proper dependencies installed to run tests
# for given modules properly.
_check_dependencies(python_exec, modules_to_test)
python_implementation = subprocess_check_output(
[python_exec, "-c", "import platform; print(platform.python_implementation())"],
universal_newlines=True).strip()
LOGGER.debug("%s python_implementation is %s", python_exec, python_implementation)
LOGGER.debug("%s version is: %s", python_exec, subprocess_check_output(
[python_exec, "--version"], stderr=subprocess.STDOUT, universal_newlines=True).strip())
for module in modules_to_test:
if python_implementation not in module.blacklisted_python_implementations:
for test_goal in module.python_test_goals:
if test_goal in ('pyspark.streaming.tests', 'pyspark.mllib.tests',
'pyspark.tests', 'pyspark.sql.tests'):
priority = 0
else:
priority = 100
task_queue.put((priority, (python_exec, test_goal)))
def process_queue(task_queue):
while True:
try:
(priority, (python_exec, test_goal)) = task_queue.get_nowait()
except Queue.Empty:
break
try:
run_individual_python_test(test_goal, python_exec)
finally:
task_queue.task_done()
start_time = time.time()
for _ in range(opts.parallelism):
worker = Thread(target=process_queue, args=(task_queue,))
worker.daemon = True
worker.start()
try:
task_queue.join()
except (KeyboardInterrupt, SystemExit):
print_red("Exiting due to interrupt")
sys.exit(-1)
total_duration = time.time() - start_time
LOGGER.info("Tests passed in %i seconds", total_duration)
if __name__ == "__main__":
main()