使用ApacheBeam Python API从MySQL读取数据并写入GCP Bucket

Question

我正在尝试从MySQL数据库（位于GCP中）读取数据，并在GCP Bucket中写入相同的数据。我想使用PythonSDK实现同样的功能。下面是我写的代码

from __future__ import generators 
import apache_beam as beam
import time
import jaydebeapi 
import os
import argparse
from google.cloud import bigquery
import logging
import sys
from string import lower
from google.cloud import storage as gstorage
import pandas as  pd
from oauth2client.client import GoogleCredentials

print("Import Successful")

class setenv(beam.DoFn): 
      def process(self,context):
          os.system('gsutil cp gs://<MY_BUCKET>/mysql-connector-java-5.1.45.jar /tmp/')
          logging.info('Enviornment Variable set.')
        
class readfromdatabase(beam.DoFn): 
      def process(self, context):
          logging.info('inside readfromdatabase')
          database_user='root'
          database_password='<DB_PASSWORD>'
          database_host='<DB_HOST>'
          database_port='<DB_PORT>'
          database_db='<DB_NAME>'
          logging.info('reached readfromdatabase 1')        
          jclassname = "com.mysql.jdbc.Driver"
          url = ("jdbc:mysql://{0}:{1}/{2}?user={3}&password={4}".format(database_host,database_port, database_db,database_user,database_password))
          jars = ["/tmp/mysql-connector-java-5.1.45.jar"]
          libs = None
          cnx = jaydebeapi.connect(jclassname, url, jars=jars,
                            libs=libs)   
          logging.info('Connection Successful..') 
          cursor = cnx.cursor()
          logging.info('Reading Sql Query from the file...')
          query = 'select * from employees.employee_details'
          logging.info('Query is %s',query)
          logging.info('Query submitted to Database..')

          for chunk in pd.read_sql(query, cnx, coerce_float=True, params=None, parse_dates=None, columns=None,chunksize=500000):
                 chunk.apply(lambda x: x.replace(u'\r', u' ').replace(u'\n', u' ') if isinstance(x, str) or isinstance(x, unicode) else x).WriteToText('gs://first-bucket-arpan/output2/')
    
          logging.info("Load completed...")
          return list("1")      
          
def run():  
    try:
        
        pcoll = beam.Pipeline()
        dummy= pcoll | 'Initializing..' >> beam.Create(['1'])
        logging.info('inside run 1')
        dummy_env = dummy | 'Setting up Instance..' >> beam.ParDo(setenv())
        logging.info('inside run 2')
        readrecords=(dummy_env | 'Processing' >>  beam.ParDo(readfromdatabase()))
        logging.info('inside run 3')
        p=pcoll.run()
        logging.info('inside run 4')
        p.wait_until_finish()
    except:
        logging.exception('Failed to launch datapipeline')
        raise 

def main():
    logging.getLogger().setLevel(logging.INFO)
    GOOGLE_APPLICATION_CREDENTIALS="gs://<MY_BUCKET>/My First Project-800a97e1fe65.json"
    run()

if __name__ == '__main__':
  logging.getLogger().setLevel(logging.INFO)
  
  main()

我正在使用以下命令运行： python /home/aarpan_roy/readfromdatabase.py --region $REGION --runner DataflowRunner --project $PROJECT --temp_location gs://$BUCKET/tmp

运行时，下注低于输出且未创建数据流作业：

INFO:root:inside run 2
INFO:root:inside run 3
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function annotate_downstream_side_inputs at 0x7fc1ea8a27d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function fix_side_input_pcoll_coders at 0x7fc1ea8a28c0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7fc1ea8a2938> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function expand_sdf at 0x7fc1ea8a29b0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function expand_gbk at 0x7fc1ea8a2a28> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sink_flattens at 0x7fc1ea8a2b18> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function greedily_fuse at 0x7fc1ea8a2b90> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function read_to_impulse at 0x7fc1ea8a2c08> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function impulse_to_input at 0x7fc1ea8a2c80> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fc1ea8a2e60> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function setup_timer_mapping at 0x7fc1ea8a2de8> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function populate_data_channel_coders at 0x7fc1ea8a2ed8> ====================
INFO:apache_beam.runners.worker.statecache:Creating state cache with size 100
INFO:apache_beam.runners.portability.fn_api_runner.worker_handlers:Created Worker handler <apache_beam.runners.portability.fn_api_runner.worker_handlers.EmbeddedWorkerHandler object at 0x7fc1ea356ad0> for environment ref_Environment_default_environment_1 (beam:env:embedded_python:v1, '')
INFO:apache_beam.runners.portability.fn_api_runner.fn_runner:Running (ref_AppliedPTransform_Initializing../Impulse_3)+((ref_AppliedPTransform_Initializing../FlatMap(<lambda at core.py:2632>)_4)+((ref_AppliedPTransform_Initializing../Map(decode)_6)+((ref_AppliedPTransform_Setting up Instance.._7)+(ref_AppliedPTransform_Processing_8))))
Copying gs://<MY_BUCKET>/mysql-connector-java-5.1.45.jar...
- [1 files][976.4 KiB/976.4 KiB]
Operation completed over 1 objects/976.4 KiB.
INFO:root:Enviornment Variable set.
INFO:root:inside run 4

请帮助我解决这个问题，并指导如何使用Apache Beam Python API将数据从MySql提取到GCP Bucket

提前谢谢

================================================================================= 大家好,， 在导出GOOGLE_应用程序_凭据后，我稍微更改了代码，并从shell脚本运行它。但是，当它执行时，会出现以下错误：

WARNING:apache_beam.internal.gcp.auth:Unable to find default credentials to use: File /home/aarpan_roy/script/dataflowerviceaccount.json (pointed by GOOGLE_APPLICATION_CREDENTIALS environment variable) does not exist!
Connecting anonymously.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['True', '--service_account_name', 'dataflowserviceaccount', '--service_account_key_file', '/home/aarpan_roy/script/dataflowserviceaccount.json']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['True', '--service_account_name', 'dataflowserviceaccount', '--service_account_key_file', '/home/aarpan_roy/script/dataflowserviceaccount.json']
ERROR:root:Failed to launch datapipeline"

以下是总日志文件：

    aarpan_roy@my-dataproc-cluster-m:~/script/util$ sh -x dataflow_runner.sh
    + export GOOGLE_APPLICATION_CREDENTIALS=gs://<MY_BUCKET>/My First Project-800a97e1fe65.json
    + python /home/aarpan_roy/script/util/loadfromdatabase.py --config config.properties --productconfig cts.properties --env dev --sourcetable employee_details --sqlquery /home/aarpan_roy/script/sql/employee_details.sql --connectionprefix d3 --incrementaldate 1900-01-01
    /home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/__init__.py:82: UserWarning: You are using Apache Beam with Python 2. New releases of Apache Beam will soon support Python 3 only.
      'You are using Apache Beam with Python 2. '
    /home/aarpan_roy/script/util/
    INFO:root:Job Run Id is 22152
    INFO:root:Job Name is load-employee-details-20200820
    SELECT * FROM EMPLOYEE_DETAILS
    WARNING:apache_beam.options.pipeline_options_validator:Option --zone is deprecated. Please use --worker_zone instead.
    INFO:apache_beam.runners.portability.stager:Downloading source distribution of the SDK from PyPi
    INFO:apache_beam.runners.portability.stager:Executing command: ['/usr/bin/python', '-m', 'pip', 'download', '--dest', '/tmp/tmpEarTQ0', 'apache-beam==2.23.0', '--no-deps', '--no-binary', ':all:']
    INFO:apache_beam.runners.portability.stager:Staging SDK sources from PyPI: dataflow_python_sdk.tar
    INFO:apache_beam.runners.portability.stager:Downloading binary distribution of the SDK from PyPi
    INFO:apache_beam.runners.portability.stager:Executing command: ['/usr/bin/python', '-m', 'pip', 'download', '--dest', '/tmp/tmpEarTQ0', 'apache-beam==2.23.0', '--no-deps', '--only-binary', ':all:', '--python-version', '27', '--implementation', 'cp', '--abi', 'cp27mu', '--platform', 'manylinux1_x86_64']
    INFO:apache_beam.runners.portability.stager:Staging binary distribution of the SDK from PyPI: apache_beam-2.23.0-cp27-cp27mu-manylinux1_x86_64.whl
    WARNING:root:Make sure that locally built Python SDK docker image has Python 2.7 interpreter.
    INFO:root:Using Python SDK docker image: apache/beam_python2.7_sdk:2.23.0. If the image is not available at local, we will try to pull from hub.docker.com
    INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
    INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
    WARNING:apache_beam.internal.gcp.auth:Unable to find default credentials to use: File /home/aarpan_roy/script/dataflowerviceaccount.json (pointed by GOOGLE_APPLICATION_CREDENTIALS environment variable) does not exist!
    Connecting anonymously.
    INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/pipeline.pb...
    INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
    INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
    INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/pipeline.pb in 0 seconds.
    INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/pickled_main_session...
    INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/pickled_main_session in 0 seconds.
    INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/dataflow_python_sdk.tar...
    INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/dataflow_python_sdk.tar in 0 seconds.
    INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/apache_beam-2.23.0-cp27-cp27mu-manylinux1_x86_64.whl...
    INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://<MY_BUCKET>/load-employee-details-20200820.1597916566.568419/apache_beam-2.23.0-cp27-cp27mu-manylinux1_x86_64.whl in 0 seconds.
    WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['True', '--service_account_name', 'dataflowserviceaccount', '--service_account_key_file', '/home/aarpan_roy/script/dataflowserviceaccount.json']
    WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['True', '--service_account_name', 'dataflowserviceaccount', '--service_account_key_file', '/home/aarpan_roy/script/dataflowserviceaccount.json']
    ERROR:root:Failed to launch datapipeline
    Traceback (most recent call last)
    File "/home/aarpan_roy/script/util/loadfromdatabase.py", line 105, in run
        p=pcoll.run()
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/pipeline.py", line 521, in run
        allow_proto_holders=True).run(False)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/pipeline.py", line 534, in run
        return self.runner.run_pipeline(self, self._options)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/dataflow_runner.py", line 586, in run_pipeline
        self.dataflow_client.create_job(self.job), self)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/utils/retry.py", line 236, in wrapper
        return fun(*args, **kwargs)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 681, in create_job
        return self.submit_job_description(job)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/utils/retry.py", line 236, in wrapper
        return fun(*args, **kwargs)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 748, in submit_job_description
        response = self._client.projects_locations_jobs.Create(request)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/internal/clients/dataflow/dataflow_v1b3_client.py", line 667, in Create
        config, request, global_params=global_params)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apitools/base/py/base_api.py", line 731, in _RunMethod
        return self.ProcessHttpResponse(method_config, http_response, request)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apitools/base/py/base_api.py", line 737, in ProcessHttpResponse
        self.__ProcessHttpResponse(method_config, http_response, request))
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apitools/base/py/base_api.py", line 604, in __ProcessHttpResponse
        http_response, method_config=method_config, request=request)
    HttpForbiddenError: HttpError accessing <https://dataflow.googleapis.com/v1b3/projects/turing-thought-277215/locations/asia-southeast1/jobs?alt=json>: response: <{'status': '403', 'content-length': '138', 'x-xss-protection': '0', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'vary': 'Origin, X-Origin, Referer', 'server': 'ESF', '-content-encoding': 'gzip', 'cache-control': 'private', 'date': 'Thu, 20 Aug 2020 09:42:47 GMT', 'x-frame-options': 'SAMEORIGIN', 'content-type': 'application/json; charset=UTF-8', 'www-authenticate': 'Bearer realm="https://accounts.google.com/", error="insufficient_scope", scope="https://www.googleapis.com/auth/compute.readonly https://www.googleapis.com/auth/compute https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/userinfo.email email https://www.googleapis.com/auth/userinfo#email"'}>, content <{
      "error": {
        "code": 403,
        "message": "Request had insufficient authentication scopes.",
        "status": "PERMISSION_DENIED"
      }
    }
    >
    Traceback (most recent call last):
      File "/home/aarpan_roy/script/util/loadfromdatabase.py", line 194, in <module>
        args.sourcetable)
      File "/home/aarpan_roy/script/util/loadfromdatabase.py", line 142, in main
        run()  
      File "/home/aarpan_roy/script/util/loadfromdatabase.py", line 105, in run
        p=pcoll.run()
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/pipeline.py", line 521, in run
        allow_proto_holders=True).run(False)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/pipeline.py", line 534, in run
        return self.runner.run_pipeline(self, self._options)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/dataflow_runner.py", line 586, in run_pipeline
        self.dataflow_client.create_job(self.job), self)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/utils/retry.py", line 236, in wrapper
        return fun(*args, **kwargs)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 681, in create_job
        return self.submit_job_description(job)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/utils/retry.py", line 236, in wrapper
        return fun(*args, **kwargs)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/internal/apiclient.py", line 748, in submit_job_description
        response = self._client.projects_locations_jobs.Create(request)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apache_beam/runners/dataflow/internal/clients/dataflow/dataflow_v1b3_client.py", line 667, in Create
        config, request, global_params=global_params)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apitools/base/py/base_api.py", line 731, in _RunMethod
        return self.ProcessHttpResponse(method_config, http_response, request)
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apitools/base/py/base_api.py", line 737, in ProcessHttpResponse
        self.__ProcessHttpResponse(method_config, http_response, request))
      File "/home/aarpan_roy/.local/lib/python2.7/site-packages/apitools/base/py/base_api.py", line 604, in __ProcessHttpResponse
        http_response, method_config=method_config, request=request)
    apitools.base.py.exceptions.HttpForbiddenError: HttpError accessing <https://dataflow.googleapis.com/v1b3/projects/turing-thought-277215/locations/asia-southeast1/jobs?alt=json>: response: <{'status': '403', 'content-length': '138', 'x-xss-protection': '0', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'vary': 'Origin, X-Origin, Referer', 'server': 'ESF', '-content-encoding': 'gzip', 'cache-control': 'private', 'date': 'Thu, 20 Aug 2020 09:42:47 GMT', 'x-frame-options': 'SAMEORIGIN', 'content-type': 'application/json; charset=UTF-8', 'www-authenticate': 'Bearer realm="https://accounts.google.com/", error="insufficient_scope", scope="https://www.googleapis.com/auth/compute.readonly https://www.googleapis.com/auth/compute https://www.googleapis.com/auth/cloud-platform https://www.googleapis.com/auth/userinfo.email email https://www.googleapis.com/auth/userinfo#email"'}>, content <{
      "error": {
        "code": 403,
        "message": "Request had insufficient authentication scopes.",
        "status": "PERMISSION_DENIED"
      }
    }
    >
    + echo 1
    1

我不明白我在哪里犯了错误。请帮我解决这个问题。 提前谢谢

Answer 1

这里似乎有两个问题：

1. 一方面，对于身份验证问题，请执行@Jayadeep提供的测试，以验证这是否是凭据名称的问题

   同样，由于您在Dataproc实例中运行代码，因此可能存在凭据处理问题，因此我建议您在Cloud Shell中测试代码

2. 另一方面，我发现another post提到python中与云SQL的连接似乎不像Java（使用jdbcIO）那样透明

   同时，我发现这是另一个post，其中提到了一个连接到云SQL的解决方法，但是使用psycopg2而不是 jaydebeapi。我建议你试试

import psycopg2

connection = psycopg2.connect( 
    host = host, 
    hostaddr = hostaddr, 
    dbname = dbname, 
    user = user, 
    password = password, 
    sslmode=sslmode, 
    sslrootcert = sslrootcert, 
    sslcert = sslcert, 
    sslkey = sslkey
)