以Blob存储为数据源的SQL按需数据分区

from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData
from sqlalchemy.orm import sessionmaker
import boto3

# 创建Blob存储客户端
s3 = boto3.client('s3', aws_access_key_id='your_access_key', aws_secret_access_key='your_secret_key')

# 创建数据库引擎
engine = create_engine('sqlite:///example.db')
metadata = MetaData()

# 定义数据表
data_table = Table('data', metadata,
                   Column('id', Integer, primary_key=True),
                   Column('name', String),
                   Column('content', String))

# 创建数据表
metadata.create_all(engine)

# 上传文件到Blob存储
s3.upload_file('local_file.txt', 'your_bucket_name', 'remote_file.txt')

# 从Blob存储下载文件
s3.download_file('your_bucket_name', 'remote_file.txt', 'downloaded_file.txt')

# 执行SQL查询
Session = sessionmaker(bind=engine)
session = Session()
result = session.execute("SELECT * FROM data WHERE id = 1")
for row in result:
    print(row)