AttributeError：“NoneType”对象没有属性“execute”

Question

我正在尝试运行一个登录 Amazon Redshift DB 的 python 脚本，然后执行 SQL 命令。我使用名为 Airflow 的工具进行工作流程管理。运行以下代码时，我可以正常登录数据库，但在尝试执行 SQL 命令时出现以下错误。

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

代码：

## 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吗？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': ['[email protected]']
}

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

Answer 1

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，但该函数未定义。假设这意味着

db_log

并且第一个任务成功，那么您实际上并没有对第二个任务执行任何操作（因为您的

xcom_push

仅在错误时触发）。

一般情况下不建议 xcom-ing 连接对象。或者，您可能需要考虑使用随附的 PostgresHook，它应该涵盖您的使用案例，并且与 Amazon Redshift 配合使用效果同样良好。

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