如何通过 Google Cloud Functions 连接到 PostgreSQL（beam-nuggets）来部署 Google Cloud Dataflow

Question

I'm trying to create ETL in GCP which will read part of data from PostgreSQL and put it in the suitable form to BigQuery. I was able to perform this task deploying Dataflow from my computer, but I failed to make it dynamic, so it will read last transferred record and transfer next 100. So I figured out, that I'll create Dataflows from Cloud Function. Everything was working OK, reading/writing to BigQuery works like a charm, but I'm stuck on PostgreSQL requited package: beam-nuggets.

In the function I'm creating pipe arguments:

pipe_arguments = [    
    '--project={0}'.format(PROJECT),
    '--staging_location=gs://xxx.appspot.com/staging/',
    '--temp_location=gs://xxx.appspot.com/temp/',
    '--runner=DataflowRunner',
    '--region=europe-west4',
    '--setup_file=./setup.py'
    ]

    pipeline_options = PipelineOptions(pipe_arguments)
    pipeline_options.view_as(SetupOptions).save_main_session = save_main_session

Then create pipeline:

 pipeline = beam.Pipeline(argv = pipe_arguments) 

and run it:

pipeline.run()

If I omit:

    '--setup_file=./setup.py'

everything is fine except Dataflow cannot use PostgeQSL as import:

from beam_nuggets.io import relational_db

fails.

When I add

    '--setup_file=./setup.py'

line, testing function from GCP Function web portal returns:

Error: function terminated. Recommended action: inspect logs for termination reason. Details:
Full trace: Traceback (most recent call last):
  File "/env/local/lib/python3.7/site-packages/apache_beam/utils/processes.py", line 85, in check_output
    out = subprocess.check_output(*args, **kwargs)
  File "/opt/python3.7/lib/python3.7/subprocess.py", line 411, in check_output
    **kwargs).stdout
  File "/opt/python3.7/lib/python3.7/subprocess.py", line 512, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['/env/bin/python3.7', 'setup.py', 'sdist', '--dist-dir', '/tmp/tmpxdvj0ulx']' returned non-zero exit status 1.
,          output of the failed child process b'running sdist\nrunning egg_info\ncreating example.egg-info\n'

running

python setup.py sdist --dist-dir ./tmp/

from local computer works OK.

setup.py is deployed along with function code (main.py) and requirements.txt to the Cloud Function.

Requirements.txt is used during Function deploy and looks like this:

beam-nuggets==0.15.1
google-cloud-bigquery==1.17.1
apache-beam==2.19.0
google-cloud-dataflow==2.4.0
google-apitools==0.5.31

setup.py looks like this:

from setuptools import find_packages
from setuptools import setup

REQUIRED_PACKAGES = ['beam-nuggets>=0.15.1']

setup(
    name='example',
    version='0.1',
    install_requires=REQUIRED_PACKAGES,
    packages=find_packages(),
    include_package_data=True,
    description='example desc'
)

I'm stuck for couple days, tried different setup.py approaches, tried to use requirements.txt instead of setup.py - no luck.

log just says:

 {
 insertId: "000000-88232bc6-6122-4ec8-a4f3-90e9775e89f6"  
 
labels: {
  execution_id: "78ml14shfolv"   
 }
 logName: "projects/xxx/logs/cloudfunctions.googleapis.com%2Fcloud-functions"  
 receiveTimestamp: "2020-07-13T12:08:35.898729649Z"  
 
resource: {
  
labels: {
   function_name: "xxx"    
   project_id: "xxx"    
   region: "europe-west6"    
  }
  type: "cloud_function"   
 }
 severity: "INFO"  
 textPayload: "Executing command: ['/env/bin/python3.7', 'setup.py', 'sdist', '--dist-dir', '/tmp/tmpxdvj0ulx']"  
 timestamp: "2020-07-13T12:08:31.639Z"  
 trace: "projects/xxx/traces/c9f1b1f68ed869f187e04ea672c487a4"  
}
 {
 insertId: "000000-3dfb239a-4067-4f9d-bd5f-bae5174e9dc7"  
 
labels: {
  execution_id: "78ml14shfolv"   
 }
 logName: "projects/xxx/logs/cloudfunctions.googleapis.com%2Fcloud-functions"  
 receiveTimestamp: "2020-07-13T12:08:35.898729649Z"  
 
resource: {
  
labels: {
   function_name: "xxx"    
   project_id: "xxx"    
   region: "europe-west6"    
  }
  type: "cloud_function"   
 }
 severity: "DEBUG"  
 textPayload: "Function execution took 7798 ms, finished with status: 'crash'"  
 timestamp: "2020-07-13T12:08:35.663674738Z"  
 trace: "projects/xxx/traces/c9f1b1f68ed869f187e04ea672c487a4"  
}

Supplementary info:

if I'm using

'--requirements_file=./requirements.txt'

instead of

'--setup_file=./setup.py'

I'm getting:

Error: memory limit exceeded.

in GCP Functions web portal while running test function.

Afrer I increased memory to 2BG it says:

Error: function terminated. Recommended action: inspect logs for termination reason. Details:
Full traceback: Traceback (most recent call last):
  File "/env/local/lib/python3.7/site-packages/apache_beam/utils/processes.py", line 85, in check_output
    out = subprocess.check_output(*args, **kwargs)
  File "/opt/python3.7/lib/python3.7/subprocess.py", line 411, in check_output
    **kwargs).stdout
  File "/opt/python3.7/lib/python3.7/subprocess.py", line 512, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['/env/bin/python3.7', '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', './requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']' returned non-zero exit status 1. 
 Pip install failed for package: -r         
 Output from execution of subprocess: b'Collecting beam-nuggets==0.15.1  
 Downloading beam-nuggets-0.15.1.tar.gz (17 kB)
  Saved /tmp/dataflow-requirements-cache/beam-nuggets-0.15.1.tar.gz
Collecting google-cloud-bigquery==1.17.1
  Downloading google-cloud-bigquery-1.17.1.tar.gz (228 kB)
  Saved /tmp/dataflow-requirements-cache/google-cloud-bigquery-1.17.1.tar.gz
Collecting apache-beam==2.19.0
  Downloading apache-beam-2.19.0.zip (1.9 MB)
  Saved /tmp/dataflow-requirements-cache/apache-beam-2.19.0.zip
Collecting google-cloud-dataflow==2.4.0
  Downloading google-cloud-dataflow-2.4.0.tar.gz (5.8 kB)
  Saved /tmp/dataflow-requirements-cache/google-cloud-dataflow-2.4.0.tar.gz
Collecting google-apitools==0.5.31
  Downloading google-apitools-0.5.31.tar.gz (173 kB)
  Saved /tmp/dataflow-requirements-cache/google-apitools-0.5.31.tar.gz
Collecting SQLAlchemy<2.0.0,>=1.2.14
  Downloading SQLAlchemy-1.3.18.tar.gz (6.0 MB)
  Saved /tmp/dataflow-requirements-cache/SQLAlchemy-1.3.18.tar.gz
Collecting sqlalchemy-utils<0.34,>=0.33.11
  Downloading SQLAlchemy-Utils-0.33.11.tar.gz (128 kB)
  Saved /tmp/dataflow-requirements-cache/SQLAlchemy-Utils-0.33.11.tar.gz
Collecting pg8000<2.0.0,>=1.12.4
  Downloading pg8000-1.16.0.tar.gz (75 kB)
  Saved /tmp/dataflow-requirements-cache/pg8000-1.16.0.tar.gz
Collecting PyMySQL<2.0.0,>=0.9.3
  Downloading PyMySQL-0.9.3.tar.gz (75 kB)
  Saved /tmp/dataflow-requirements-cache/PyMySQL-0.9.3.tar.gz
Collecting kafka>===1.3.5
  Downloading kafka-1.3.5.tar.gz (227 kB)
  Saved /tmp/dataflow-requirements-cache/kafka-1.3.5.tar.gz
Collecting google-cloud-core<2.0dev,>=1.0.0
 Downloading google-cloud-core-1.3.0.tar.gz (32 kB)
  Saved /tmp/dataflow-requirements-cache/google-cloud-core-1.3.0.tar.gz
Collecting google-resumable-media<0.5.0dev,>=0.3.1
  Downloading google-resumable-media-0.4.1.tar.gz (2.1 MB)
  Saved /tmp/dataflow-requirements-cache/google-resumable-media-0.4.1.tar.gz
Collecting protobuf>=3.6.0
  Downloading protobuf-3.12.2.tar.gz (265 kB)
  Saved /tmp/dataflow-requirements-cache/protobuf-3.12.2.tar.gz
Collecting crcmod<2.0,>=1.7
  Downloading crcmod-1.7.tar.gz (89 kB)
  Saved /tmp/dataflow-requirements-cache/crcmod-1.7.tar.gz
Collecting dill<0.3.2,>=0.3.1.1
  Downloading dill-0.3.1.1.tar.gz (151 kB)
  Saved /tmp/dataflow-requirements-cache/dill-0.3.1.1.tar.gz
Collecting fastavro<0.22,>=0.21.4
  Downloading fastavro-0.21.24.tar.gz (496 kB)
  Saved /tmp/dataflow-requirements-cache/fastavro-0.21.24.tar.gz
Collecting future<1.0.0,>=0.16.0
  Downloading future-0.18.2.tar.gz (829 kB)
  Saved /tmp/dataflow-requirements-cache/future-0.18.2.tar.gz
Collecting grpcio<2,>=1.12.1
  Downloading grpcio-1.30.0.tar.gz (19.7 MB)
    ERROR: Command errored out with exit status 1:
     command: /env/bin/python3.7 -c \'import sys, setuptools, tokenize; sys.argv[0] = \'"\'"\'/tmp/pip-download-yjpzrbur/grpcio/setup.py\'"\'"\'; __file__=\'"\'"\'/tmp/pip-download-yjpzrbur/grpcio/setup.py\'"\'"\';f=getattr(tokenize, \'"\'"\'open\'"\'"\', open)(__file__);code=f.read().replace(\'"\'"\'\\r\
\'"\'"\', \'"\'"\'\
\'"\'"\');f.close();exec(compile(code, __file__, \'"\'"\'exec\'"\'"\'))\' egg_info --egg-base /tmp/pip-download-yjpzrbur/grpcio/pip-egg-info
         cwd: /tmp/pip-download-yjpzrbur/grpcio/
    Complete output (11 lines):
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-download-yjpzrbur/grpcio/setup.py", line 196, in <module>
        if check_linker_need_libatomic():
      File "/tmp/pip-download-yjpzrbur/grpcio/setup.py", line 156, in check_linker_need_libatomic
        stderr=PIPE)
      File "/opt/python3.7/lib/python3.7/subprocess.py", line 800, in __init__
        restore_signals, start_new_session)
      File "/opt/python3.7/lib/python3.7/subprocess.py", line 1551, in _execute_child
        raise child_exception_type(errno_num, err_msg, err_filename)
    FileNotFoundError: [Errno 2] No such file or directory: \'cc\': \'cc\'
    ----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
WARNING: You are using pip version 20.0.2; however, version 20.1.1 is available.
You should consider upgrading via the \'/env/bin/python3.7 -m pip install --upgrade pip\' command.
'

Logs in this case:

 {
 insertId: "000000-5e4c10f4-d542-4631-8aaa-b9306d1390fd"  
 
labels: {
  execution_id: "15jww0sd8uyz"   
 }
 logName: "projects/xxx/logs/cloudfunctions.googleapis.com%2Fcloud-functions"  
 receiveTimestamp: "2020-07-13T14:01:33.505683371Z"  
 
resource: {
  
labels: {
   function_name: xxx"    
   project_id: "xxx"    
   region: "europe-west6"    
  }
  type: "cloud_function"   
 }
 severity: "DEBUG"  
 textPayload: "Function execution took 18984 ms, finished with status: 'crash'"  
 timestamp: "2020-07-13T14:01:32.953194652Z"  
 trace: "projects/xxx/traces/262224a3d230cd9a66b1eebba3d7c3e0"  
}

From local machine Dataflow deployment works OK.

Command from logs:

python -m pip download --dest ./tmp -r ./requirements.txt --exists-action i --no-binary :all:

also works OK although it seems like downloading half of the internet for couple of minutes, even if I reduce requirements.txt to beam-nuggets==0.15.1 only.

It stucks on

grpcio-1.30.0.tar.gz (19.7 MB)

exactly during setup from this package, function:

def check_linker_need_libatomic():
    """Test if linker on system needs libatomic."""
    code_test = (b'#include <atomic>\n' +
                 b'int main() { return std::atomic<int64_t>{}; }')
    cc_test = subprocess.Popen(['cc', '-x', 'c++', '-std=c++11', '-'],
                               stdin=PIPE,
                               stdout=PIPE,
                               stderr=PIPE)
    cc_test.communicate(input=code_test)
    return cc_test.returncode != 0

Answer 1

I also tried GCP AppEngine instead of Cloud Functions, with the same result, however it directs me to the proper solution. Thanks to this and this I was able to create external package from beam-nuggets and include it using --extra_package instead of --setup_file or --setup_file .

The problem with grpcio compilation (forced by non configurable --no-binary', ':all:' ) remains. The problem with setup.py weird error also remains.

But deployment from Cloud Functions to Dataflow (with dependencies) is working, so problem closed for me.

Update:

Just after that I was hit with the problem:

in _import_module return __import__(import_name) ModuleNotFoundError: No module named 'main'

as I was not using any 'main' module it was hard to find, that I have to pack to the external package also every function defined in my main.py file (thus module name). So extra_package file contains all external dependencies and my own module in which my functions are stored.