所以我已经使用来自linux服务器的python连接到redshift。 它抛出了sqlalchemy.exc.NoSuchColumnError:"找不到列中的列' 0'"我尝试从redshift服务器获取表时出错。
其他经历过类似错误的错误通过更新python包解决了这个问题,我今天早些时候做了很多,但我仍然遇到错误。
版本:
Python 2.7.12
SQLAlchemy 1.1.6
sqlalchemy-redshift 0.5.0
psycopg2 2.7
这是代码,我使用的是console_login:
from sqlalchemy import create_engine
import getpass
import json
def getredshiftconnect(console_login=True, login_credentials_file=None):
try:
if console_login:
login = getpass.getpass("Username: ")
password = getpass.getpass("Password: ")
server = input("Server: ")
database = input("Database connecting to: ")
schema = input("Schema connecting to: ")
engine = create_engine("redshift+psycopg2://{0}:{1}@{2}:<PortNumber>/{3}"\
.format(login, password, server, database))
else:
# Read JSON file with login credentials
# Make sure that fields are referenced correctly, i.e.:
# login, password, server, database
login_credentials = json.load(open(login_credentials_file,"r"))
engine = create_engine("redshift+psycopg2://{0}:{1}@{2}:<PortNumber>/{3}"\
.format(login_credentials["login"],
login_credentials["password"],
login_credentials["server"],
login_credentials["database"]))
# To test connection, if able to list tables then login was succesful
# Pick a schema that actually has tables
if engine.table_names(schema): # Explodes at this call
print ("Successfully connected")
return engine
else:
print ("Not properly connected")
except Exception as e:
print ("Error Connecting: ", e)
答案 0 :(得分:3)
我确实发现SQLAlchemy-1.1.6是问题的原因。 在降级到1.1.5之后,我的情况再次正常工作。
pip install SQLAlchemy==1.1.5
注意:我发现SQLAlchemy的最新版本有更多错误。 此外,我不得不在某些服务器上删除并重新安装SQLAlchemy来解决问题(例如pip uninstall SQLAlchemy)。