with engine.connect() as connection: # 执行SQL语句 使用连接执行SQL语句: python result = connection.execute('SQL语句') 例如,执行一个查询语句: python with engine.connect() as connection: result = connection.execute("SELECT * FROM table_name") 处理执行结果: 遍历查询结果并进行处理: python...
# 执行SQL语句engine.execute("INSERT INTO student (name, age, class) VALUES ('张三', 18, 'A')")engine.execute("INSERT INTO student (name, age, class) VALUES ('李四', 19, 'B')") 1. 2. 3. 4.3.4. 查询数据 # 执行查询语句result=engine.execute("SELECT * FROM student")# 处理查询...
fromsqlalchemyimportcreate_enginehost='10.x.x.x'user='xxxx'password='xxxxx'port='xxx'database='xxxx'engine_str='postgres://'+user+':'+password+'@'+host+':'+port+'/'+databaseconn=create_engine(engine_str)sql="delete FROM aaa_test_ma_biao where 序列號='FCQ1544Y4PS'"conn.execute(...
max_overflow=5) # 执行SQL # cur = engine.execute( # "INSERT INTO hosts (host, color_id) VALUES ('1.1.1.22', 3)" # ) # 新插入行自增ID # cur.lastrowid # 执行SQL # cur = engine.execute( # "INSERT INTO hosts (host, color_id) VALUES(%s, %s)",[('1.1...
重试策略、编码方式等。一旦 `create_engine` 方法创建了 Engine 实例，通过 `Engine.connect()` 或其他依赖方法（如 `Engine.execute()`）调用时，Engine 将请求一个来自潜在 Pool 的连接。Pool 在收到请求后建立实际的 DBAPI 连接。调用 `create_engine` 方法本身不会立即创建数据库连接。
cursor.execute(sql) conn.close() def write_to_sql(tbl, db = 'crm'): engine = create_engine('mysql+pymysql://root:123@localhost:3306/{0}?charset=utf8'.format(db)) try: tbl.to_sql('listed_company',con = engine,if_exists='append',index=False) ...
conn = psycopg2.connect(database = database, user = username, password = passwd, host = host, port = port) cursor = conn.cursor() # 执行sql cursor.execute(sql, values)# 与jdbc的prepareStatement极为类似,执行的是一个具体的sql语句。 cursor也能调存储过程,并且获取返回值。
#关闭session self.session.close()def execute_sql(self, sql_str): #执⾏sql语句 return self.session.execute(sql_str)class MyTest():def__init__(self):self.db_obj = DatabaseManagement()def process(self):person_obj = User("Wilson4", "111@sina.com")self.db_obj.add_obj(person_obj)
from sqlalchemy import create_engine 创建数据库引擎: 代码语言:txt 复制 engine = create_engine('postgresql://username:password@host:port/database') 使用数据库引擎进行数据库操作,例如执行SQL查询: 代码语言:txt 复制 result = engine.execute('SELECT * FROM table') ...
引擎创建后,我们就可以直接获取 connection,然后执行 SQL 语句了。这种用法相当于把 SQLAlchemy 当成带 log 的数据库连接池使用: with engine.connect() as conn: res = conn.execute("select username from users") # 无参直接使用 # 使用问号作占位符,前提是下层的 DBAPI 支持。更好的方式是使用 text(),...