1. SELECT子句中存在如下内容: *:表示查询所有的数据列:会显示表的所有列; 列名称:表示查询指定的列,列也可以设置别名; DISTINCT:表示去除重复数据的显示。 2. FROM子句:定义要要使用的数据表,就是可以理解为数据来源;(固定语法使用大写)。 注:多个子句的执行顺序,第一步执行FROM字句:表示确定数据来源;第二步执行SELECT字句
from sqlalchemy import create_engine host = '10.x.x.x' user = 'xxxx' password = 'xxxxx' port = 'xxx' database = 'xxxx' engine_str = 'postgres://' + user + ':' + password + '@' + host + ':' + port + '/' + database conn = create_engine(engine_str) sql = "delete...
针对你遇到的问题 from sqlalchemy import create_engine 报错ModuleNotFoundError: No module named 's,我们可以按照以下步骤进行排查和解决: 确认SQLAlchemy库是否已安装: 首先,你需要确认你的Python环境中是否已经安装了SQLAlchemy库。你可以通过运行以下命令来检查: bash pip show sqlalchemy 如果该命令没有返回...
>>> from sqlalchemy import create_engine Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib64/python2.7/site-packages/sqlalchemy/__init__.py", line 9, in <module> from .engine import create_engine File "/usr/lib64/python2.7/site-packages/sqlal...
# Tableview is placed # MySQL as data source from sqlalchemy import create_engine,text # for MySql and SQLite database """ my_conn = create_engine("mysql+mysqldb://id:pw@localhost/my_tutorial") # update details my_conn = my_conn.connect() r_set = my_conn.execute(text("SELECT * ...
from sqlalchemy import create_engine, textmy_conn = create_engine("mysql+mysqldb://id:pw@localhost/my_tutorial") # MySQL#my_conn = create_engine("sqlite:///G:\\testing\\my_db\\my_db.db") # SQLitemy_conn = my_conn.connect() ...
from sqlalchemy import create_engine engine = create_engine('sqlite://Northwind.sqlite') 1. 2. 使用table_names()方法获取一个表名列表 table_names = engine.table_names() 1. 1、直接查询关系型数据库 con = engine.connect() rs = con.execute("SELECT * FROM Orders") ...
import urllib from sqlalchemy import create_engine, __version__ as sa_version print(sys.version) # 3.7.3 (v3.7.3:ef4ec6ed12, Mar 25 2019, 21:26:53) ... print(f'SQLAlchemy version {sa_version}') # SQLAlchemy version 1.3.2 params = urllib.parse.quote_plus( r'DRIVER={ODBC Driv...
import pandas as pd from sqlalchemy import create_engine sql_alchemy_engine = create_engine(sql_alchemy_conn_str, pool_recycle=3600) sql_query = "select * from capital_fg_602.transactions_1" with sql_alchemy_engine.connect() as mysql_conn: result_df = pd.read_sql(sql_query, mysql_conn...
import tkinter as tk from tkinter import * from sqlalchemy import create_engine,text my_w = tk.Tk() my_w.geometry("400x250") my_conn = create_engine("sqlite:///D:\\testing\\my_db\\my_db.db") my_conn = my_conn.connect() # connection object r_set=my_conn.execute(text('''...