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Python - AttributeError:'NoneType' object没有属性'execute'

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我正在尝试运行一个登录到Amazon Redshift DB然后执行SQL命令的python脚本 . 我使用名为Airflow的工具进行工作流管理 . 运行以下代码时,我可以正常登录到数据库但是在尝试执行SQL命令时会出现以下错误 .

**AttributeError: 'NoneType' object has no attribute 'execute'**

Code:

## Login to DB

def db_log(**kwargs):
  global db_con
  try:
    db_con = psycopg2.connect(
       " dbname = 'name' user = 'user' password = 'pass' host = 'host' port = '5439'")
  except:
    print("I am unable to connect")
    print('Connection Task Complete')
    task_instance = kwargs['task_instance']
    task_instance.xcom_push(key="dwh_connection" , value = "dwh_connection")
    return (dwh_connection)


def insert_data(**kwargs):
  task_instance = kwargs['task_instance']
  db_con_xcom = task_instance.xcom_pull(key="dwh_connection", task_ids='DWH_Connect')
  cur = db_con_xcom
  cur.execute("""insert into tbl_1 select limit 2 ;""")

任何人都可以帮我解决这个问题谢谢..

完整代码:

## Third party Library Imports
import pandas as pd
import psycopg2
import airflow
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
from sqlalchemy import create_engine
import io

# Following are defaults which can be overridden later on
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': datetime(2018, 5, 29, 12),
'email': ['airflow@airflow.com']
}

dag = DAG('sample1', default_args=default_args)

## Login to DB

def db_log(**kwargs):
  global db_con
  try:
    db_con = psycopg2.connect(
       " dbname = 'name' user = 'user' password = 'pass' host = 'host' port = '5439'")
  except:
    print("I am unable to connect")
    print('Connection Task Complete')
    task_instance = kwargs['task_instance']
    task_instance.xcom_push(key="dwh_connection" , value = "dwh_connection")
    return (dwh_connection)



t1 = PythonOperator(
  task_id='DWH_Connect',
  python_callable=data_warehouse_login,provide_context=True,
  dag=dag)

#######################

def insert_data(**kwargs):
  task_instance = kwargs['task_instance']
  db_con_xcom = task_instance.xcom_pull(key="dwh_connection", task_ids='DWH_Connect')
  cur = db_con_xcom
  cur.execute("""insert into tbl_1 select limit 2 """)


##########################################

t2 = PythonOperator(
  task_id='DWH_Connect1',
  python_callable=insert_data,provide_context=True,dag=dag)

t1 >> t2

1 回答

  • 0

    您确定已添加完整的代码吗?您在第一个任务的python_callable中调用 data_warehouse_login 函数,但这是未定义的 . 假设这是 db_log 并且第一个任务成功,那么你实际上并没有向第二个任务发送任何东西(因为你的 xcom_push 只在出错时触发) .

    通常不会建议xcom连接对象 . 或者,您可能需要考虑使用附带的PostgresHook,它应该涵盖您的用例并且与Amazon Redshift同样适用 .

    https://github.com/apache/incubator-airflow/blob/master/airflow/hooks/postgres_hook.py

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