DATABRICKS_HTTP_PATH,设置为你的群集或 SQL 仓库的HTTP 路径值。 若要设置环境变量,请参阅操作系统对应的文档。 Python fromdatabricksimportsqlimportoswithsql.connect(server_hostname = os.getenv("DATABRICKS_SERVER_HOSTNAME"), http_path = os.getenv("DATABRICKS_HTTP_PATH"), auth_type ="databricks-oaut...
mysql_cn= pymysql.connect(host='127.0.0.1', port=3306, user='test', passwd='test',db='data',use_unicode=True,charset="utf8") sql = '''select * from orders order by id desc limit 10 ''' df = pd.read_sql(sql, con=mysql_cn) mysql_cn.close() columns_list = df.columns.value...
res = requests.get(protectedResource)ifres.status_code ==401: resDigest = requests.get(protectedResource, auth=HTTPDigestAuth(user, passwd))ifresDigest.status_code ==200:print('User Found...')print('User: '+user+' Pass: '+passwd) foundPass =True 摘要 在本章中,我们研究了httplib和urllib...
#第二步:连接到服务器 server_addr = '127.0.0.1' print('Connect to server %s ...'%(server_addr)) #端口和验证口令 manager = QueueManager(address=(server_addr,8001),authkey='key'.encode('utf-8')) manager.connect() #第三步:获取queue的对象 task = manager.get_task_queue() result = m...
不过排名第一的 blacksheep 框架吸引了我的注意,这玩意我之前压根就没听说过,为了搞清楚它并发量为什么这么高,于是安装了一下,结果发现大部分代码都是基于 Cython 编写的。最关键的是,它在使用上和 FastAPI 具有很高的相似性,所以本次就来聊一聊这个 blacksheep 框架,看看它的用法。
'_auth', '_compat', 'apilevel', 'charset', 'connect', 'connections', 'constants','converters','cursors','err','escape_dict','escape_sequence','escape_string','get_client_info','install_as_MySQLdb','optionfile','paramstyle','protocol','sys','thread_safe','threadsafety','times','...
client=paramiko.SSHClient()client=paramiko.SSHClient()client.set_missing_host_key_policy(paramiko.AutoAddPolicy())client.connect(hostname='192.168.1.10',port=22,username='root',password='123456',timeout=300,allow_agent=False,look_for_keys=False)stdin,stdout,stderr=client.exec_command("bash /tm...
s=socket.socket(socket.AF_INET,socket.SOCK_STREAM)s.connect(('www.example.com',80)) # 发送HTTP请求 s.sendall(b'GET / HTTP/1.1\r\nHost: www.example.com\r\n\r\n') # 接收服务器响应 response=s.recv(1024)print("Server response:",response.decode()) ...
importpyodbcimportos conn = pyodbc.connect("Driver=/Library/simba/spark/lib/libsparkodbc_sb64-universal.dylib;"+f"Host={os.getenv('DATABRICKS_HOST')};"+"Port=443;"+f"HTTPPath={os.getenv('DATABRICKS_HTTP_PATH')};"+"SSL=1;"+"ThriftTransport=2;"+"AuthMech=11;"+"Auth_Flow=2;"+"PWD...
_', '__spec__', '__version__', '_auth', '_compat', 'apilevel', 'charset', 'connect...