我有一个巨大的440m行和30列的表。我需要把它保存在本地。
我已经使用sqlalchemy包来完成这项工作，但这需要很多时间。
请告诉我怎样才能做得更快？我应该用dask吗？这是我的密码：

import csv
import pandas as pd
from pyhive import hive
from sqlalchemy import *
from sqlalchemy.engine import create_engine
from sqlalchemy.schema import *
from odo import odo

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

# Using SQLAlchemy:

# Creating engine:

engine = create_engine('hive://er123.company.test:10000/db')

# Connecting to the engine:

con = engine.connect()

# Read database and builds SQLAlchemy Table Objects:

metadata = MetaData()
tbl_name = "tbl"
Table(tbl_name, metadata, autoload=True, autoload_with=engine)

# Create statement:

stmt = "SELECT * FROM tbl"

# Fetch the data:

data = pd.read_sql(stmt, con = con)

# To save to a csv:

# Using SQL statement:

pd.read_sql(stmt, con = con).to_csv('data.csv', index=False)