调用方法:
with session.SparkStreamingSession('CC_Traffic_Realtime', ssc_time_windown) as ss_session:
kafkaStreams = ss_session.get_direct_stream(TOPICNAME)
kafkaStreams.transform(xxxx)...
ss_session.ready_to_go()
实现方法:
import pickle
from io import BytesIO
from pyspark import SparkConf
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
class SparkgSession(object):
__APP_PATH = "hdfs://hacluster/tmp"
def __init__(self, app_name):
self._sc = SparkContext(appName=app_name)
def __enter__(self):
return self
def __exit__(self, e_type, e_value, e_traceback):
self._sc.stop()
def _get_full_path(self, file_path):
return "{}/{}".format(self.__APP_PATH, file_path)
def load_model(self, pkl_file_path):
full_path = self._get_full_path(pkl_file_path)
rdd = self._sc.binaryFiles(full_path)
return rdd.values().map(lambda p: pickle.load(BytesIO(p))).collect()[0]
def load_text_file(self, file_path):
# TODO, sec problem
full_path = self._get_full_path(file_path)
return self._sc.textFile(full_path).collect()
class SparkStreamingSession(SparkgSession):
def __init__(self, app_name, ssc_time_window):
super(SparkStreamingSession, self).__init__(app_name)
self._ssc = StreamingContext(self._sc, ssc_time_window)
def get_direct_stream(self, topic, brokers):
# todo, REMOVE
return KafkaUtils.createDirectStream(self._ssc, [topic], kafkaParams={"bootstrap.servers": brokers})
def ready_to_go(self):
self._ssc.start()
self._ssc.awaitTermination()
def __enter__(self):
return self
def __exit__(self, e_type, e_value, e_traceback):
# TODO, sdk support
print("Detect Error!Error: {}".format(e_type.__name__))
print("Message: {}".format(e_value.message))
print("File name: {}".format(e_traceback.tb_frame.f_code.co_filename))
print("line number: {}".format(e_traceback.tb_lineno))
self._ssc.stop()
super(SparkStreamingSession, self).__exit__(e_type, e_value, e_traceback)
补充:
前言
with 语句适用于对资源进行访问的场合,确保不管使用过程中是否发生异常都会执行必要的“清理”操作,释放资源,比如文件使用后自动关闭/线程中锁的自动获取和释放等。
问题引出
如下代码:
file = open("1.txt")
data = file.read()
file.close()
上面代码存在2个问题:
(1)文件读取发生异常,但没有进行任何处理;
(2)可能忘记关闭文件句柄;
改进
try:
f = open('xxx')
except:
print('fail to open')
exit(-1)
try:
do something
except:
do something
finally:
f.close()
虽然这段代码运行良好,但比较冗长。
而使用with的话,能够减少冗长,还能自动处理上下文环境产生的异常。如下面代码:
with open("1.txt") as file:
data = file.read()
with 工作原理
(1)紧跟with后面的语句被求值后,返回对象的“–enter–()”方法被调用,这个方法的返回值将被赋值给as后面的变量;
(2)当with后面的代码块全部被执行完之后,将调用前面返回对象的“–exit–()”方法。
with工作原理代码示例:
class Sample:
def __enter__(self):
print "in __enter__"
return "Foo"
def __exit__(self, exc_type, exc_val, exc_tb):
print "in __exit__"
def get_sample():
return Sample()
with get_sample() as sample:
print "Sample: ", sample
代码的运行结果如下:
in __enter__
Sample: Foo
in __exit__
可以看到,整个运行过程如下:
(1)enter()方法被执行;
(2)enter()方法的返回值,在这个例子中是”Foo”,赋值给变量sample;
(3)执行代码块,打印sample变量的值为”Foo”;
(4)exit()方法被调用;
【注:】exit()方法中有3个参数, exc_type, exc_val, exc_tb,这些参数在异常处理中相当有用。
exc_type: 错误的类型
exc_val: 错误类型对应的值
exc_tb: 代码中错误发生的位置
示例代码:
class Sample():
def __enter__(self):
print('in enter')
return self
def __exit__(self, exc_type, exc_val, exc_tb):
print "type: ", exc_type
print "val: ", exc_val
print "tb: ", exc_tb
def do_something(self):
bar = 1 / 0
return bar + 10
with Sample() as sample:
sample.do_something()
程序输出结果:
in enter
Traceback (most recent call last):
type: <type 'exceptions.ZeroDivisionError'>
val: integer division or modulo by zero
File "/home/user/cltdevelop/Code/TF_Practice_2017_06_06/with_test.py", line 36, in <module>
tb: <traceback object at 0x7f9e13fc6050>
sample.do_something()
File "/home/user/cltdevelop/Code/TF_Practice_2017_06_06/with_test.py", line 32, in do_something
bar = 1 / 0
ZeroDivisionError: integer division or modulo by zero
Process finished with exit code 1
总结
实际上,在with后面的代码块抛出异常时,exit()方法被执行。开发库时,清理资源,关闭文件等操作,都可以放在exit()方法中。
总之,with-as表达式极大的简化了每次写finally的工作,这对代码的优雅性是有极大帮助的。
如果有多项,可以这样写:
With open('1.txt') as f1, open('2.txt') as f2:
do something
参考网址
http://blog.kissdata.com/2014/05/23/python-with.html
标签:__,use,exc,self,stop,exit,path,spark,def From: https://blog.51cto.com/u_11908275/6382263