[英]Error when deploying Google DataFlow job on App Engine CRON
(接上一個問題 )
我正在嘗試按照此處描述的方法部署google dataflow作業,以將其作為ron作業在google app引擎上運行。
我在pipelines / script.py文件夾中有一個DataFlow腳本(用Python編寫)。 在本地(使用Apache Beam DirectRunner
)或在Google雲上(使用DataFlowRunner
)運行此腳本可以正常運行。 但是,當部署作業以在應用程序引擎上定期運行該作業時,該作業在執行時會引發以下錯誤:
(4cb822d7f796239a): Traceback (most recent call last): File
"/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py",
line 582, in do_work
work_executor.execute() File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py",
line 166, in execute
op.start() File "apache_beam/runners/worker/operations.py", line 294, in apache_beam.runners.worker.operations.DoOperation.start
(apache_beam/runners/worker/operations.c:10607)
def start(self): File "apache_beam/runners/worker/operations.py", line 295, in
apache_beam.runners.worker.operations.DoOperation.start
(apache_beam/runners/worker/operations.c:10501)
with self.scoped_start_state: File "apache_beam/runners/worker/operations.py", line 300, in
apache_beam.runners.worker.operations.DoOperation.start
(apache_beam/runners/worker/operations.c:9702)
pickler.loads(self.spec.serialized_fn)) File "/usr/local/lib/python2.7/dist-
packages/apache_beam/internal/pickler.py", line 225, in loads
return dill.loads(s) File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 277, in
loads
return load(file) File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 266, in
load
obj = pik.load() File "/usr/lib/python2.7/pickle.py", line 858, in load
dispatch[key](self) File "/usr/lib/python2.7/pickle.py", line 1090, in load_global
klass = self.find_class(module, name) File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 423, in
find_class
return StockUnpickler.find_class(self, module, name) File "/usr/lib/python2.7/pickle.py", line 1124, in find_class
__import__(module) ImportError: No module named pipelines.spanner_backup
當直接在google cloud控制台的dataflow面板中訪問作業時,這是可見的堆棧跟蹤。 但是,如果我單擊“堆棧跟蹤”以從“堆棧驅動程序錯誤報告”面板中查看錯誤堆棧跟蹤,則會看到以下跟蹤:
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 738, in run
work, execution_context, env=self.environment)
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/workitem.py", line 130, in get_work_items
work_item_proto.sourceOperationTask.split)
File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/workercustomsources.py", line 142, in __init__
source_spec[names.SERIALIZED_SOURCE_KEY]['value'])
File "/usr/local/lib/python2.7/dist-packages/apache_beam/internal/pickler.py", line 225, in loads
return dill.loads(s)
File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 277, in loads
return load(file)
File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 266, in load
obj = pik.load()
File "/usr/lib/python2.7/pickle.py", line 858, in load
dispatch[key](self)
File "/usr/lib/python2.7/pickle.py", line 1090, in load_global
klass = self.find_class(module, name)
File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 423, in find_class
return StockUnpickler.find_class(self, module, name)
File "/usr/lib/python2.7/pickle.py", line 1124, in find_class
__import__(module)
ImportError: No module named spanner.client
在工人之間共享東西時提示一些導入錯誤? 不過,應該正確安裝Google Spanner。
我在用:
Flask==0.12.2
apache-beam[gcp]==2.1.1
gunicorn==19.7.1
gevent==1.2.1
google-cloud-dataflow==2.1.1
google-cloud-spanner==0.26
我想念什么嗎?
編輯:我的setup.py如下:(所描述這里 ,相應帶注釋的GitHub鏈接點擊這里 )
from distutils.command.build import build as _build
import subprocess
import setuptools
class build(_build): # pylint: disable=invalid-name
sub_commands = _build.sub_commands + [('CustomCommands', None)]
CUSTOM_COMMANDS = [
['echo', 'Custom command worked!']]
class CustomCommands(setuptools.Command):
"""A setuptools Command class able to run arbitrary commands."""
def initialize_options(self):
pass
def finalize_options(self):
pass
def RunCustomCommand(self, command_list):
print 'Running command: %s' % command_list
p = subprocess.Popen(
command_list,
stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
# Can use communicate(input='y\n'.encode()) if the command run requires
# some confirmation.
stdout_data, _ = p.communicate()
print 'Command output: %s' % stdout_data
if p.returncode != 0:
raise RuntimeError(
'Command %s failed: exit code: %s' % (command_list, p.returncode))
def run(self):
for command in CUSTOM_COMMANDS:
self.RunCustomCommand(command)
REQUIRED_PACKAGES = ["Flask==0.12.2",
"apache-beam[gcp]==2.1.1",
"gunicorn==19.7.1",
"gevent==1.2.1",
"google-cloud-dataflow==2.1.1",
"google-cloud-spanner==0.26"
]
setuptools.setup(
name='dataflow_python_pipeline',
version='1.0.0',
description='DataFlow Python Pipeline',
install_requires=REQUIRED_PACKAGES,
packages=setuptools.find_packages(),
cmdclass={
'build': build,
'CustomCommands': CustomCommands,
}
)
作為記錄,這是我的問題的解決方案。 感謝Marcin Zabloki幫助我。
看來我沒有正確地將安裝文件鏈接到管道。 通過更換
pipeline_options = PipelineOptions()
pipeline_options.view_as(SetupOptions).save_main_session = True
pipeline_options.view_as(SetupOptions).requirements_file = "requirements.txt"
google_cloud_options = pipeline_options.view_as(GoogleCloudOptions)
google_cloud_options.project = PROJECT_ID
google_cloud_options.job_name = JOB_NAME
google_cloud_options.staging_location = '%s/staging' % BUCKET_URL
google_cloud_options.temp_location = '%s/tmp' % BUCKET_URL
pipeline_options.view_as(StandardOptions).runner = 'DataflowRunner'
通過
pipeline_options = PipelineOptions()
pipeline_options.view_as(SetupOptions).setup_file = "./setup.py"
google_cloud_options = pipeline_options.view_as(GoogleCloudOptions)
google_cloud_options.project = PROJECT_ID
google_cloud_options.job_name = JOB_NAME
google_cloud_options.staging_location = '%s/staging' % BUCKET_URL
google_cloud_options.temp_location = '%s/tmp' % BUCKET_URL
pipeline_options.view_as(StandardOptions).runner = 'DataflowRunner'
(並添加要安裝在setup.py文件中而不是Requirements.txt中的模塊),以及在ParDos中而不是在文件的開頭加載我在本地使用的模塊,我能夠部署腳本。
不這樣做似乎會導致某些奇怪的,未定義的行為(例如,函數未找到同一文件中定義的類),而不是清除錯誤消息。
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.