本文整理汇总了Python中dpark.accumulator.Accumulator.values方法的典型用法代码示例。如果您正苦于以下问题：Python Accumulator.values方法的具体用法？Python Accumulator.values怎么用？Python Accumulator.values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dpark.accumulator.Accumulator的用法示例。
在下文中一共展示了Accumulator.values方法的9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: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task, aid):
try:
setproctitle('dpark worker %s: run task %s' % (Script, task))
Accumulator.clear()
result = task.run(aid)
accUpdate = Accumulator.values()
try:
flag, data = 0, marshal.dumps(result)
except ValueError:
flag, data = 1, cPickle.dumps(result)
if len(data) > TASK_RESULT_LIMIT and env.dfs:
workdir = env.get('WORKDIR')
path = os.path.join(workdir, str(task.id)+'.result')
with open(path, 'w') as f:
f.write(data)
data = path
flag += 2
setproctitle('dpark worker: idle')
return mesos_pb2.TASK_FINISHED, cPickle.dumps((task.id, Success(), (flag, data), accUpdate), -1)
except Exception, e:
import traceback
msg = traceback.format_exc()
setproctitle('dpark worker: idle')
return mesos_pb2.TASK_FAILED, cPickle.dumps((task.id, OtherFailure(msg), None, None), -1)示例2: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task_data):
try:
gc.disable()
task, ntry = cPickle.loads(decompress(task_data))
setproctitle('dpark worker %s: run task %s' % (Script, task))
Accumulator.clear()
result = task.run(ntry)
accUpdate = Accumulator.values()
if marshalable(result):
flag, data = 0, marshal.dumps(result)
else:
flag, data = 1, cPickle.dumps(result, -1)
data = compress(data)
if len(data) > TASK_RESULT_LIMIT:
workdir = env.get('WORKDIR')
name = 'task_%s_%s.result' % (task.id, ntry)
path = os.path.join(workdir, name)
f = open(path, 'w')
f.write(data)
f.close()
data = LocalFileShuffle.getServerUri() + '/' + name
flag += 2
return mesos_pb2.TASK_FINISHED, cPickle.dumps((task.id, Success(), (flag, data), accUpdate), -1)
except Exception, e:
import traceback
msg = traceback.format_exc()
return mesos_pb2.TASK_FAILED, cPickle.dumps((task.id, OtherFailure(msg), None, None), -1)示例3: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task_data):
try:
gc.disable()
task, ntry = cPickle.loads(decompress(task_data))
setproctitle('dpark worker %s: run task %s' % (Script, task))
Accumulator.clear()
result = task.run(ntry)
accUpdate = Accumulator.values()
if marshalable(result):
flag, data = 0, marshal.dumps(result)
else:
flag, data = 1, cPickle.dumps(result, -1)
data = compress(data)
if len(data) > TASK_RESULT_LIMIT:
path = LocalFileShuffle.getOutputFile(0, ntry, task.id, len(data))
f = open(path, 'w')
f.write(data)
f.close()
data = '/'.join([LocalFileShuffle.getServerUri()] + path.split('/')[-3:])
flag += 2
return mesos_pb2.TASK_FINISHED, cPickle.dumps((Success(), (flag, data), accUpdate), -1)
except FetchFailed, e:
return mesos_pb2.TASK_FAILED, cPickle.dumps((e, None, None), -1)示例4: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task, aid):
logger.debug("Running task %r", task)
try:
Accumulator.clear()
result = task.run(aid)
accumUpdates = Accumulator.values()
return (task.id, Success(), result, accumUpdates)
except Exception, e:
logger.error("error in task %s", task)
import traceback
traceback.print_exc()
return (task.id, OtherFailure("exception:" + str(e)), None, None)示例5: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task, aid):
logger.debug('Running task %r', task)
try:
Accumulator.clear()
result = task.run(aid)
accumUpdates = Accumulator.values()
MutableDict.flush()
return (task.id, Success(), result, accumUpdates)
except Exception as e:
logger.error('error in task %s', task)
import traceback
traceback.print_exc()
return (task.id, OtherFailure('exception:' + str(e)), None, None)示例6: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task_data):
try:
gc.disable()
task, task_try_id = loads(decompress(task_data))
ttid = TTID(task_try_id)
Accumulator.clear()
result = task.run(ttid.ttid)
env.task_stats.bytes_max_rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss * 1024
accUpdate = Accumulator.values()
MutableDict.flush()
if marshalable(result):
try:
flag, data = 0, marshal.dumps(result)
except Exception:
flag, data = 1, cPickle.dumps(result, -1)
else:
flag, data = 1, cPickle.dumps(result, -1)
data = compress(data)
if len(data) > TASK_RESULT_LIMIT:
# shuffle_id start from 1
swd = ShuffleWorkDir(0, task.id, ttid.task_try)
tmppath = swd.alloc_tmp(len(data))
with open(tmppath, 'wb') as f:
f.write(data)
f.close()
path = swd.export(tmppath)
data = '/'.join(
[env.server_uri] + path.split('/')[-3:]
)
flag += 2
return TaskState.finished, cPickle.dumps(((flag, data), accUpdate, env.task_stats), -1)
except FetchFailed as e:
return TaskState.failed, TaskEndReason.fetch_failed, str(e), cPickle.dumps(e)
except Exception as e:
import traceback
msg = traceback.format_exc()
ename = e.__class__.__name__
fatal_exceptions = (DparkUserFatalError, ArithmeticError,
ValueError, LookupError, SyntaxError,
TypeError, AssertionError)
prefix = "FATAL" if isinstance(e, fatal_exceptions) else "FAILED"
return TaskState.failed, '{}_EXCEPTION_{}'.format(prefix, ename), msg, cPickle.dumps(e)
finally:
gc.collect()
gc.enable()示例7: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task_data):
try:
gc.disable()
task, ntry = cPickle.loads(decompress(task_data))
Accumulator.clear()
result = task.run(ntry)
accUpdate = Accumulator.values()
MutableDict.flush()
if marshalable(result):
try:
flag, data = 0, marshal.dumps(result)
except Exception, e:
flag, data = 1, cPickle.dumps(result, -1)
else:示例8: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task_data):
try:
gc.disable()
task, ntry = cPickle.loads(decompress(task_data))
setproctitle('dpark worker %s: run task %s' % (Script, task))
Accumulator.clear()
result = task.run(ntry)
accUpdate = Accumulator.values()
if marshalable(result):
try:
flag, data = 0, marshal.dumps(result)
except Exception, e:
flag, data = 1, cPickle.dumps(result, -1)
else:示例9: run_task
# 需要导入模块: from dpark.accumulator import Accumulator [as 别名]
# 或者: from dpark.accumulator.Accumulator import values [as 别名]
def run_task(task_data):
try:
gc.disable()
task, ntry = loads(decompress(task_data))
Accumulator.clear()
result = task.run(ntry)
accUpdate = Accumulator.values()
MutableDict.flush()
if marshalable(result):
try:
flag, data = 0, marshal.dumps(result)
except Exception as e:
flag, data = 1, cPickle.dumps(result, -1)
else:
flag, data = 1, cPickle.dumps(result, -1)
data = compress(data)
if len(data) > TASK_RESULT_LIMIT:
path = LocalFileShuffle.getOutputFile(0, ntry, task.id, len(data))
f = open(path, 'w')
f.write(data)
f.close()
data = '/'.join(
[LocalFileShuffle.getServerUri()] + path.split('/')[-3:]
)
flag += 2
return 'TASK_FINISHED', cPickle.dumps(
(Success(), (flag, data), accUpdate), -1)
except FetchFailed as e:
return 'TASK_FAILED', cPickle.dumps((e, None, None), -1)
except:
import traceback
msg = traceback.format_exc()
return 'TASK_FAILED', cPickle.dumps(
(OtherFailure(msg), None, None), -1)
finally:
close_mfs()
gc.collect()
gc.enable()