spark-instrumented-optimizer/python/run-tests.py
Sean Owen 12ab7f7e89 [SPARK-14280][BUILD][WIP] Update change-version.sh and pom.xml to add Scala 2.12 profiles and enable 2.12 compilation
…build; fix some things that will be warnings or errors in 2.12; restore Scala 2.12 profile infrastructure

## What changes were proposed in this pull request?

This change adds back the infrastructure for a Scala 2.12 build, but does not enable it in the release or Python test scripts.

In order to make that meaningful, it also resolves compile errors that the code hits in 2.12 only, in a way that still works with 2.11.

It also updates dependencies to the earliest minor release of dependencies whose current version does not yet support Scala 2.12. This is in a sense covered by other JIRAs under the main umbrella, but implemented here. The versions below still work with 2.11, and are the _latest_ maintenance release in the _earliest_ viable minor release.

- Scalatest 2.x -> 3.0.3
- Chill 0.8.0 -> 0.8.4
- Clapper 1.0.x -> 1.1.2
- json4s 3.2.x -> 3.4.2
- Jackson 2.6.x -> 2.7.9 (required by json4s)

This change does _not_ fully enable a Scala 2.12 build:

- It will also require dropping support for Kafka before 0.10. Easy enough, just didn't do it yet here
- It will require recreating `SparkILoop` and `Main` for REPL 2.12, which is SPARK-14650. Possible to do here too.

What it does do is make changes that resolve much of the remaining gap without affecting the current 2.11 build.

## How was this patch tested?

Existing tests and build. Manually tested with `./dev/change-scala-version.sh 2.12` to verify it compiles, modulo the exceptions above.

Author: Sean Owen <sowen@cloudera.com>

Closes #18645 from srowen/SPARK-14280.
2017-09-01 19:21:21 +01:00

221 lines
8.3 KiB
Python
Executable file

#!/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
# 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 # 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 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:
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()