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# -*- encoding: utf-8 -*- 

# 

# 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 os 

import tempfile 

import threading 

import time 

import unittest 

has_resource_module = True 

try: 

import resource # noqa: F401 

except ImportError: 

has_resource_module = False 

 

from py4j.protocol import Py4JJavaError 

 

from pyspark import SparkConf, SparkContext 

from pyspark.testing.utils import ReusedPySparkTestCase, PySparkTestCase, QuietTest 

 

 

class WorkerTests(ReusedPySparkTestCase): 

def test_cancel_task(self): 

temp = tempfile.NamedTemporaryFile(delete=True) 

temp.close() 

path = temp.name 

 

def sleep(x): 

import os 

import time 

with open(path, 'w') as f: 

f.write("%d %d" % (os.getppid(), os.getpid())) 

time.sleep(100) 

 

# start job in background thread 

def run(): 

try: 

self.sc.parallelize(range(1), 1).foreach(sleep) 

except Exception: 

pass 

import threading 

t = threading.Thread(target=run) 

t.daemon = True 

t.start() 

 

daemon_pid, worker_pid = 0, 0 

while True: 

if os.path.exists(path): 

with open(path) as f: 

data = f.read().split(' ') 

daemon_pid, worker_pid = map(int, data) 

break 

time.sleep(0.1) 

 

# cancel jobs 

self.sc.cancelAllJobs() 

t.join() 

 

72 ↛ 79line 72 didn't jump to line 79, because the loop on line 72 didn't complete for i in range(50): 

try: 

os.kill(worker_pid, 0) 

time.sleep(0.1) 

except OSError: 

break # worker was killed 

else: 

self.fail("worker has not been killed after 5 seconds") 

 

try: 

os.kill(daemon_pid, 0) 

except OSError: 

self.fail("daemon had been killed") 

 

# run a normal job 

rdd = self.sc.parallelize(range(100), 1) 

self.assertEqual(100, rdd.map(str).count()) 

 

def test_after_exception(self): 

def raise_exception(_): 

raise RuntimeError() 

rdd = self.sc.parallelize(range(100), 1) 

with QuietTest(self.sc): 

self.assertRaises(Py4JJavaError, lambda: rdd.foreach(raise_exception)) 

self.assertEqual(100, rdd.map(str).count()) 

 

def test_after_non_exception_error(self): 

# SPARK-33339: Pyspark application will hang due to non Exception 

def raise_system_exit(_): 

raise SystemExit() 

rdd = self.sc.parallelize(range(100), 1) 

with QuietTest(self.sc): 

self.assertRaises(Exception, lambda: rdd.foreach(raise_system_exit)) 

self.assertEqual(100, rdd.map(str).count()) 

 

def test_after_jvm_exception(self): 

tempFile = tempfile.NamedTemporaryFile(delete=False) 

tempFile.write(b"Hello World!") 

tempFile.close() 

data = self.sc.textFile(tempFile.name, 1) 

filtered_data = data.filter(lambda x: True) 

self.assertEqual(1, filtered_data.count()) 

os.unlink(tempFile.name) 

with QuietTest(self.sc): 

self.assertRaises(Exception, lambda: filtered_data.count()) 

 

rdd = self.sc.parallelize(range(100), 1) 

self.assertEqual(100, rdd.map(str).count()) 

 

def test_accumulator_when_reuse_worker(self): 

from pyspark.accumulators import INT_ACCUMULATOR_PARAM 

acc1 = self.sc.accumulator(0, INT_ACCUMULATOR_PARAM) 

self.sc.parallelize(range(100), 20).foreach(lambda x: acc1.add(x)) 

self.assertEqual(sum(range(100)), acc1.value) 

 

acc2 = self.sc.accumulator(0, INT_ACCUMULATOR_PARAM) 

self.sc.parallelize(range(100), 20).foreach(lambda x: acc2.add(x)) 

self.assertEqual(sum(range(100)), acc2.value) 

self.assertEqual(sum(range(100)), acc1.value) 

 

def test_reuse_worker_after_take(self): 

rdd = self.sc.parallelize(range(100000), 1) 

self.assertEqual(0, rdd.first()) 

 

def count(): 

try: 

rdd.count() 

except Exception: 

pass 

 

t = threading.Thread(target=count) 

t.daemon = True 

t.start() 

t.join(5) 

self.assertTrue(not t.is_alive()) 

self.assertEqual(100000, rdd.count()) 

 

def test_with_different_versions_of_python(self): 

rdd = self.sc.parallelize(range(10)) 

rdd.count() 

version = self.sc.pythonVer 

self.sc.pythonVer = "2.0" 

try: 

with QuietTest(self.sc): 

self.assertRaises(Py4JJavaError, lambda: rdd.count()) 

finally: 

self.sc.pythonVer = version 

 

def test_python_exception_non_hanging(self): 

# SPARK-21045: exceptions with no ascii encoding shall not hanging PySpark. 

try: 

def f(): 

raise RuntimeError("exception with 中 and \xd6\xd0") 

 

166 ↛ exitline 166 didn't return from function 'test_python_exception_non_hanging' self.sc.parallelize([1]).map(lambda x: f()).count() 

except Py4JJavaError as e: 

self.assertRegex(str(e), "exception with 中") 

 

 

class WorkerReuseTest(PySparkTestCase): 

 

def test_reuse_worker_of_parallelize_range(self): 

rdd = self.sc.parallelize(range(20), 8) 

previous_pids = rdd.map(lambda x: os.getpid()).collect() 

current_pids = rdd.map(lambda x: os.getpid()).collect() 

for pid in current_pids: 

self.assertTrue(pid in previous_pids) 

 

 

@unittest.skipIf( 

not has_resource_module, 

"Memory limit feature in Python worker is dependent on " 

"Python's 'resource' module; however, not found.") 

class WorkerMemoryTest(unittest.TestCase): 

 

def setUp(self): 

class_name = self.__class__.__name__ 

conf = SparkConf().set("spark.executor.pyspark.memory", "2g") 

self.sc = SparkContext('local[4]', class_name, conf=conf) 

 

def test_memory_limit(self): 

rdd = self.sc.parallelize(range(1), 1) 

 

def getrlimit(): 

import resource 

return resource.getrlimit(resource.RLIMIT_AS) 

 

actual = rdd.map(lambda _: getrlimit()).collect() 

self.assertTrue(len(actual) == 1) 

self.assertTrue(len(actual[0]) == 2) 

[(soft_limit, hard_limit)] = actual 

self.assertEqual(soft_limit, 2 * 1024 * 1024 * 1024) 

self.assertEqual(hard_limit, 2 * 1024 * 1024 * 1024) 

 

def tearDown(self): 

self.sc.stop() 

 

 

class WorkerSegfaultTest(ReusedPySparkTestCase): 

 

@classmethod 

def conf(cls): 

_conf = super(WorkerSegfaultTest, cls).conf() 

_conf.set("spark.python.worker.faulthandler.enabled", "true") 

return _conf 

 

def test_python_segfault(self): 

try: 

def f(): 

import ctypes 

ctypes.string_at(0) 

 

self.sc.parallelize([1]).map(lambda x: f()).count() 

except Py4JJavaError as e: 

self.assertRegex(str(e), "Segmentation fault") 

 

 

class WorkerSegfaultNonDaemonTest(WorkerSegfaultTest): 

 

@classmethod 

def conf(cls): 

_conf = super(WorkerSegfaultNonDaemonTest, cls).conf() 

_conf.set("spark.python.use.daemon", "false") 

return _conf 

 

 

if __name__ == "__main__": 

import unittest 

from pyspark.tests.test_worker import * # noqa: F401 

 

try: 

import xmlrunner # type: ignore[import] 

testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2) 

except ImportError: 

testRunner = None 

unittest.main(testRunner=testRunner, verbosity=2)