Hi everyone.
I've been experiencing a very weird issue, and I hope someone could help me
with it.
I've mapped a Redshift table using SQL Alchemy's ORM.
Here is my code.
from sqlalchemy.ext.automap import automap_base
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import psycopg2
user = ""
passwd = ""
host = ""
engine = create_engine('postgresql+psycopg2://{}:{}{}'.format(user,passwd,
host))
########################################################################
Base = automap_base()
class Bookmarks(Base):
__tablename__ = 'my_table'
__table_args__ = {"schema":"dev"}
agent_id = Column(Integer, primary_key=True)
username = Column(String)
email = Column(String)
first_name = Column(String)
last_name = Column(String)
role_id = Column(Integer)
role = Column(String)
team = Column(String)
access_level = Column(String)
location = Column(String)
def loadSession():
""""""
metadata = Base.metadata
Session = sessionmaker(bind=engine)
session = Session()
return session
Base.prepare()
session = loadSession()
res = session.query(Bookmarks).all()
Everything works fine after executing the code. The problem is that it
looks like it's been interacting weirdly with AWS. I've been creating
tables to test this out, and it seems like everytime I map a Redshift table
using this code, the table becomes totally unresponsive. I'm able to query
it using SQLAlchemy, but if I try to alter it, or delete it, it will
literally take a hour before getting a response.
I'm not getting any errors, it's just that everything becomes very slow.
The tables are very small, so this shouldn't be happening.
Has anyone experienced this issue?
--
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