spark-instrumented-optimizer/python/run-tests.py
HyukjinKwon 4ad9bfd53b [SPARK-32138] Drop Python 2.7, 3.4 and 3.5
### What changes were proposed in this pull request?

This PR aims to drop Python 2.7, 3.4 and 3.5.

Roughly speaking, it removes all the widely known Python 2 compatibility workarounds such as `sys.version` comparison, `__future__`. Also, it removes the Python 2 dedicated codes such as `ArrayConstructor` in Spark.

### Why are the changes needed?

 1. Unsupport EOL Python versions
 2. Reduce maintenance overhead and remove a bit of legacy codes and hacks for Python 2.
 3. PyPy2 has a critical bug that causes a flaky test, SPARK-28358 given my testing and investigation.
 4. Users can use Python type hints with Pandas UDFs without thinking about Python version
 5. Users can leverage one latest cloudpickle, https://github.com/apache/spark/pull/28950. With Python 3.8+ it can also leverage C pickle.

### Does this PR introduce _any_ user-facing change?

Yes, users cannot use Python 2.7, 3.4 and 3.5 in the upcoming Spark version.

### How was this patch tested?

Manually tested and also tested in Jenkins.

Closes #28957 from HyukjinKwon/SPARK-32138.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-07-14 11:22:44 +09:00

323 lines
13 KiB
Python
Executable file

#!/usr/bin/env python3
#
# 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 logging
from argparse import ArgumentParser
import os
import re
import shutil
import subprocess
import sys
import tempfile
from threading import Thread, Lock
import time
import uuid
import queue as Queue
from multiprocessing import Manager
# 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')
SKIPPED_TESTS = Manager().dict()
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.
# TODO: revisit for Scala 2.13
for scala in ["2.12"]:
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(target_dir, 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),
})
# Create a unique temp directory under 'target/' for each run. The TMPDIR variable is
# recognized by the tempfile module to override the default system temp directory.
tmp_dir = os.path.join(target_dir, str(uuid.uuid4()))
while os.path.isdir(tmp_dir):
tmp_dir = os.path.join(target_dir, str(uuid.uuid4()))
os.mkdir(tmp_dir)
env["TMPDIR"] = tmp_dir
# Also override the JVM's temp directory by setting driver and executor options.
java_options = "-Djava.io.tmpdir={0} -Dio.netty.tryReflectionSetAccessible=true".format(tmp_dir)
spark_args = [
"--conf", "spark.driver.extraJavaOptions='{0}'".format(java_options),
"--conf", "spark.executor.extraJavaOptions='{0}'".format(java_options),
"pyspark-shell"
]
env["PYSPARK_SUBMIT_ARGS"] = " ".join(spark_args)
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.split(),
stderr=per_test_output, stdout=per_test_output, env=env).wait()
shutil.rmtree(tmp_dir, ignore_errors=True)
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("utf-8", "replace")
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:
skipped_counts = 0
try:
per_test_output.seek(0)
# Here expects skipped test output from unittest when verbosity level is
# 2 (or --verbose option is enabled).
decoded_lines = map(lambda line: line.decode("utf-8", "replace"), iter(per_test_output))
skipped_tests = list(filter(
lambda line: re.search(r'test_.* \(pyspark\..*\) ... (skip|SKIP)', line),
decoded_lines))
skipped_counts = len(skipped_tests)
if skipped_counts > 0:
key = (pyspark_python, test_name)
SKIPPED_TESTS[key] = skipped_tests
per_test_output.close()
except:
import traceback
print_red("\nGot an exception while trying to store "
"skipped test output:\n%s" % traceback.format_exc())
# 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)
if skipped_counts != 0:
LOGGER.info(
"Finished test(%s): %s (%is) ... %s tests were skipped", pyspark_python, test_name,
duration, skipped_counts)
else:
LOGGER.info(
"Finished test(%s): %s (%is)", pyspark_python, test_name, duration)
def get_default_python_executables():
# TODO(SPARK-32278): install PyPy3 in Jenkins to test
python_execs = [x for x in ["python3.6", "python3.8", "pypy3"] if which(x)]
if "python3.6" not in python_execs:
p = which("python3")
if not p:
LOGGER.error("No python3 executable found. Exiting!")
os._exit(1)
else:
python_execs.insert(0, p)
return python_execs
def parse_opts():
parser = ArgumentParser(
prog="run-tests"
)
parser.add_argument(
"--python-executables", type=str, default=','.join(get_default_python_executables()),
help="A comma-separated list of Python executables to test against (default: %(default)s)"
)
parser.add_argument(
"--modules", type=str,
default=",".join(sorted(python_modules.keys())),
help="A comma-separated list of Python modules to test (default: %(default)s)"
)
parser.add_argument(
"-p", "--parallelism", type=int, default=4,
help="The number of suites to test in parallel (default %(default)d)"
)
parser.add_argument(
"--verbose", action="store_true",
help="Enable additional debug logging"
)
group = parser.add_argument_group("Developer Options")
group.add_argument(
"--testnames", type=str,
default=None,
help=(
"A comma-separated list of specific modules, classes and functions of doctest "
"or unittest to test. "
"For example, 'pyspark.sql.foo' to run the module as unittests or doctests, "
"'pyspark.sql.tests FooTests' to run the specific class of unittests, "
"'pyspark.sql.tests FooTests.test_foo' to run the specific unittest in the class. "
"'--modules' option is ignored if they are given.")
)
args, unknown = parser.parse_known_args()
if unknown:
parser.error("Unsupported arguments: %s" % ' '.join(unknown))
if args.parallelism < 1:
parser.error("Parallelism cannot be less than 1")
return args
def _check_coverage(python_exec):
# 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)
def main():
opts = parse_opts()
if opts.verbose:
log_level = logging.DEBUG
else:
log_level = logging.INFO
should_test_modules = opts.testnames is None
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(',')
LOGGER.info("Will test against the following Python executables: %s", python_execs)
if should_test_modules:
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 the following Python modules: %s", [x.name for x in modules_to_test])
else:
testnames_to_test = opts.testnames.split(',')
LOGGER.info("Will test the following Python tests: %s", testnames_to_test)
task_queue = Queue.PriorityQueue()
for python_exec in python_execs:
# Check if the python executable has coverage installed when 'COVERAGE_PROCESS_START'
# environmental variable is set.
if "COVERAGE_PROCESS_START" in os.environ:
_check_coverage(python_exec)
python_implementation = subprocess_check_output(
[python_exec, "-c", "import platform; print(platform.python_implementation())"],
universal_newlines=True).strip()
LOGGER.info("%s python_implementation is %s", python_exec, python_implementation)
LOGGER.info("%s version is: %s", python_exec, subprocess_check_output(
[python_exec, "--version"], stderr=subprocess.STDOUT, universal_newlines=True).strip())
if should_test_modules:
for module in modules_to_test:
if python_implementation not in module.blacklisted_python_implementations:
for test_goal in module.python_test_goals:
heavy_tests = ['pyspark.streaming.tests', 'pyspark.mllib.tests',
'pyspark.tests', 'pyspark.sql.tests', 'pyspark.ml.tests']
if any(map(lambda prefix: test_goal.startswith(prefix), heavy_tests)):
priority = 0
else:
priority = 100
task_queue.put((priority, (python_exec, test_goal)))
else:
for test_goal in testnames_to_test:
task_queue.put((0, (python_exec, test_goal)))
# Create the target directory before starting tasks to avoid races.
target_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'target'))
if not os.path.isdir(target_dir):
os.mkdir(target_dir)
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(target_dir, 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)
for key, lines in sorted(SKIPPED_TESTS.items()):
pyspark_python, test_name = key
LOGGER.info("\nSkipped tests in %s with %s:" % (test_name, pyspark_python))
for line in lines:
LOGGER.info(" %s" % line.rstrip())
if __name__ == "__main__":
main()