Python - AttributeError:' NoneType'对象没有属性'执行'

时间:2018-05-30 11:01:45

标签: python-3.x airflow

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,但在尝试执行SQL命令时会出现以下错误。

**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。感谢..

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 个答案:

答案 0 :(得分:0)

您确定已添加完整代码吗?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对第二个任务进行任何操作(因为你的xcom_push仅在出错时触发)。

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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