本文整理汇总了Python中pyspark.SparkContext.show_profiles方法的典型用法代码示例。如果您正苦于以下问题：Python SparkContext.show_profiles方法的具体用法？Python SparkContext.show_profiles怎么用？Python SparkContext.show_profiles使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyspark.SparkContext的用法示例。
在下文中一共展示了SparkContext.show_profiles方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ProfilerTests
# 需要导入模块: from pyspark import SparkContext [as 别名]
# 或者: from pyspark.SparkContext import show_profiles [as 别名]
class ProfilerTests(PySparkTestCase):
def setUp(self):
self._old_sys_path = list(sys.path)
class_name = self.__class__.__name__
conf = SparkConf().set("spark.python.profile", "true")
self.sc = SparkContext('local[4]', class_name, conf=conf)
def test_profiler(self):
self.do_computation()
profilers = self.sc.profiler_collector.profilers
self.assertEqual(1, len(profilers))
id, profiler, _ = profilers[0]
stats = profiler.stats()
self.assertTrue(stats is not None)
width, stat_list = stats.get_print_list([])
func_names = [func_name for fname, n, func_name in stat_list]
self.assertTrue("heavy_foo" in func_names)
old_stdout = sys.stdout
sys.stdout = io = StringIO()
self.sc.show_profiles()
self.assertTrue("heavy_foo" in io.getvalue())
sys.stdout = old_stdout
d = tempfile.gettempdir()
self.sc.dump_profiles(d)
self.assertTrue("rdd_%d.pstats" % id in os.listdir(d))
def test_custom_profiler(self):
class TestCustomProfiler(BasicProfiler):
def show(self, id):
self.result = "Custom formatting"
self.sc.profiler_collector.profiler_cls = TestCustomProfiler
self.do_computation()
profilers = self.sc.profiler_collector.profilers
self.assertEqual(1, len(profilers))
_, profiler, _ = profilers[0]
self.assertTrue(isinstance(profiler, TestCustomProfiler))
self.sc.show_profiles()
self.assertEqual("Custom formatting", profiler.result)
def do_computation(self):
def heavy_foo(x):
for i in range(1 << 18):
x = 1
rdd = self.sc.parallelize(range(100))
rdd.foreach(heavy_foo)示例2: test_profiler_disabled
# 需要导入模块: from pyspark import SparkContext [as 别名]
# 或者: from pyspark.SparkContext import show_profiles [as 别名]
def test_profiler_disabled(self):
sc = SparkContext(conf=SparkConf().set("spark.python.profile", "false"))
try:
self.assertRaisesRegexp(
RuntimeError,
"'spark.python.profile' configuration must be set",
lambda: sc.show_profiles())
self.assertRaisesRegexp(
RuntimeError,
"'spark.python.profile' configuration must be set",
lambda: sc.dump_profiles("/tmp/abc"))
finally:
sc.stop()