dataflow failed to set up worker - google-cloud-dataflow

Question

Tested my pipeline on DirectRunner and everything's working good.
Now I want to run it on DataflowRunner. It doesn't work. It fails even before enter my pipeline code, and I'm totally overwhelmed by the logs in stackdriver - just don't understand what they mean and really don't have any clue on what's wrong.
execution graph looks loaded fine
worker pool starts and 1 worker is trying to run through the setup process, however looks never success
some logs that I guess might provide useful information for debugging:
AttributeError:'module' object has no attribute 'NativeSource'
/usr/bin/python failed with exit status 1
Back-off 20s restarting failed container=python pod=dataflow-fiona-backlog-clean-test2-06140817-1629-harness-3nxh_default(50a3915d6501a3ec74d6d385f70c8353)
checking backoff for container "python" in pod "dataflow-fiona-backlog-clean-test2-06140817-1629-harness-3nxh"
INFO SSH key is not a complete entry: .....
How should I tackle this problem?
Edit:
my setup.py here if it helps: (copyed from [here], only modifiedREQUIRED_PACKAGES
and setuptools.setup section)
from distutils.command.build import build as _build
import subprocess
import setuptools
# This class handles the pip install mechanism.
class build(_build): # pylint: disable=invalid-name
"""A build command class that will be invoked during package install.
The package built using the current setup.py will be staged and later
installed in the worker using `pip install package'. This class will be
instantiated during install for this specific scenario and will trigger
running the custom commands specified.
"""
sub_commands = _build.sub_commands + [('CustomCommands', None)]
# Some custom command to run during setup. The command is not essential for this
# workflow. It is used here as an example. Each command will spawn a child
# process. Typically, these commands will include steps to install non-Python
# packages. For instance, to install a C++-based library libjpeg62 the following
# two commands will have to be added:
#
# ['apt-get', 'update'],
# ['apt-get', '--assume-yes', install', 'libjpeg62'],
#
# First, note that there is no need to use the sudo command because the setup
# script runs with appropriate access.
# Second, if apt-get tool is used then the first command needs to be 'apt-get
# update' so the tool refreshes itself and initializes links to download
# repositories. Without this initial step the other apt-get install commands
# will fail with package not found errors. Note also --assume-yes option which
# shortcuts the interactive confirmation.
#
# The output of custom commands (including failures) will be logged in the
# worker-startup log.
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)
# Configure the required packages and scripts to install.
# Note that the Python Dataflow containers come with numpy already installed
# so this dependency will not trigger anything to be installed unless a version
# restriction is specified.
REQUIRED_PACKAGES = ['apache-beam==2.0.0',
'datalab==1.0.1',
'google-cloud==0.19.0',
'google-cloud-bigquery==0.22.1',
'google-cloud-core==0.22.1',
'google-cloud-dataflow==0.6.0',
'pandas==0.20.2']
setuptools.setup(
name='geotab-backlog-dataflow',
version='0.0.1',
install_requires=REQUIRED_PACKAGES,
packages=setuptools.find_packages(),
)
worker-startup log: and it ended at the following exception
I /usr/bin/python failed with exit status 1
I /usr/bin/python failed with exit status 1
I AttributeError: 'module' object has no attribute 'NativeSource'
I class ConcatSource(iobase.NativeSource):
I File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/concat_reader.py", line 26, in <module>
I from dataflow_worker import concat_reader
I File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/maptask.py", line 31, in <module>
I from dataflow_worker import maptask
I File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py", line 26, in <module>
I from dataflow_worker import executor
I File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 63, in <module>
I from dataflow_worker import batchworker
I File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/start.py", line 26, in <module>
I exec code in run_globals
I File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
I "__main__", fname, loader, pkg_name)
I File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
I AttributeError: 'module' object has no attribute 'NativeSource'
I class ConcatSource(iobase.NativeSource):

Answer 1

You seem to be using incompatible requirements in your REQUIRED_PACKAGES directive, i.e. you specify "apache-beam==2.0.0" and "google-cloud-dataflow==0.6.0", which conflict with each other. Can you try removing / uninstalling the "apache-beam" package and install / include the "google-cloud-dataflow==2.0.0" package instead?