spark context stop use with as

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