本文整理汇总了Python中execo.process.SshProcess.start方法的典型用法代码示例。如果您正苦于以下问题：Python SshProcess.start方法的具体用法？Python SshProcess.start怎么用？Python SshProcess.start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execo.process.SshProcess的用法示例。
在下文中一共展示了SshProcess.start方法的4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: execute_job
# 需要导入模块: from execo.process import SshProcess [as 别名]
# 或者: from execo.process.SshProcess import start [as 别名]
def execute_job(self, job, node=None, verbose=True):
"""Execute the given Spark job in the specified node.
Args:
job (SparkJob):
The job object.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
verbose (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the job.
"""
if not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if node is None:
node = self.master
exec_dir = "/tmp"
# Copy necessary files to cluster
files_to_copy = job.get_files_to_copy()
action = Put([node], files_to_copy, exec_dir)
action.run()
# Get command
command = job.get_command(exec_dir)
# Execute
logger.info("Executing spark job. Command = {" + self.bin_dir +
"/spark-submit " + command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/spark-submit " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
# Get job info
job.stdout = proc.stdout
job.stderr = proc.stderr
job.success = (proc.exit_code == 0)
return proc.stdout, proc.stderr示例2: execute
# 需要导入模块: from execo.process import SshProcess [as 别名]
# 或者: from execo.process.SshProcess import start [as 别名]
def execute(self, command, node=None, should_be_running=True,
verbose=True):
"""Execute the given Hadoop command in the given node.
Args:
command (str):
The command to be executed.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
should_be_running (bool, optional):
True if the cluster needs to be running in order to execute the
command. If so, and it is not running, it is automatically started.
verbose: (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the command.
"""
self._check_initialization()
if should_be_running and not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
if verbose:
logger.info("Executing {" + self.bin_dir + "/hadoop " +
command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
return (proc.stdout, proc.stderr)示例3: execute
# 需要导入模块: from execo.process import SshProcess [as 别名]
# 或者: from execo.process.SshProcess import start [as 别名]
def execute(self, command, node=None, verbose=True):
if not node:
node = self.hc.master
if verbose:
logger.info("Executing {" + self.bin_dir + "/mahout " +
command + "} in " + str(node))
proc = SshProcess("export JAVA_HOME='" + self.hc.java_home + "';" +
"export HADOOP_HOME='" + self.hc.base_dir + "';" +
self.bin_dir + "/mahout " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
return proc.stdout, proc.stderr示例4: execute_job
# 需要导入模块: from execo.process import SshProcess [as 别名]
# 或者: from execo.process.SshProcess import start [as 别名]
def execute_job(self, job, node=None, verbose=True):
"""Execute the given MapReduce job in the specified node.
Args:
job (HadoopJarJob):
The job object.
node (Host, optional):
The host were the command should be executed. If not provided,
self.master is chosen.
verbose (bool, optional):
If True stdout and stderr of remote process is displayed.
Returns (tuple of str):
A tuple with the standard and error outputs of the process executing
the job.
"""
self._check_initialization()
if not self.running:
logger.warn("The cluster was stopped. Starting it automatically")
self.start()
if not node:
node = self.master
exec_dir = "/tmp"
# Copy necessary files to cluster
files_to_copy = job.get_files_to_copy()
action = Put([node], files_to_copy, exec_dir)
action.run()
# Get command
command = job.get_command(exec_dir)
# Execute
logger.info("Executing jar job. Command = {" + self.bin_dir +
"/hadoop " + command + "} in " + str(node))
proc = SshProcess(self.bin_dir + "/hadoop " + command, node)
if verbose:
red_color = '\033[01;31m'
proc.stdout_handlers.append(sys.stdout)
proc.stderr_handlers.append(
ColorDecorator(sys.stderr, red_color))
proc.start()
proc.wait()
# Get job info
job.stdout = proc.stdout
job.stderr = proc.stderr
job.success = (proc.exit_code == 0)
for line in job.stdout.splitlines():
if "Running job" in line:
if "mapred.JobClient" in line or "mapreduce.Job" in line:
# TODO: more possible formats?
try:
match = re.match('.*Running job: (.*)', line)
job.job_id = match.group(1)
break
except:
pass
return (proc.stdout, proc.stderr)