self.cursor.execute(sql, parameters) else: self.cursor.execute(sql) return self.cursor.fetchall() except Exception as e: print(f"查询失败:{str(e)}") return [] def backup_database(self, backup_file): """备份数据库""" try: with sqlite3.connect(backup_file) as backup: self.conn.back...
问Python sqlite3 cursor.execute语法错误(脚本、参数)EN前一段时间偶然的看到了一个名词SQLite3，大概了...
3, 4):raise EnvironmentError("Backup requires SQLite version 3.3.4 or greater.")try:conn = sqlite3.connect(db_path)cursor = conn.cursor()with open(backup_path, "wb") as backup_file:backup_file.write(conn.backup(backup_file))return Trueexcept Error as...
fromdjango.dbimportconnections@classmethoddefinit_cache(cls): path ='../sql/tmpl.sql'cache_con = connections['memory']withcache_con.cursor()ascursor:withopen(path)asfp:forsqlinfp.readlines(): cursor.execute(sql)@classmethoddefinit_table(cls, *args):formodelinargs: objs = model.objects.all(...
execute(create_author_idx_query) %%timeit with connect(DB_PATH) as db: luu_df = pd.read_sql(filter_author_query, db) 采用index后查询可以从 2.49 s 减少到23 ms。 3 Sqlite3的其他特性 除了上述实践小技巧,笔者还格外关注sqlite3落地应用(主要是端末设备)其他一些特性: sqlite3支持全文检索,fts5加...
print(cursor.fetchall()) # 获取所有的数据 print(cursor.fetchone()) # 获取第一条数据,如果拿过数据,那么数据就会变成空,游标里面的数据只能拿取一次,除非再次查找 with open("test.sql", "r") as f: cursor.executescript(f.read()) # 运行sql脚本文件 print(cursor.fetchall()) test()test...
import csv # 获取查询结果的列名 colnames = [description[0] for description in cursor.description] # 打开一个CSV文件以写入数据 with open('output.csv', 'w', newline='', encoding='utf-8') as csvfile: writer = csv.writer(csvfile) # 写入列名 writer.writerow(colnames) # 写入数据行 writer...
with sqlite3.connect('example.db') as conn: cur = conn.cursor() cur.execute("SELECT * FROM users") rows = cur.fetchall() for row in rows: print(row) 在上下文管理器的作用域结束时,连接将自动关闭。 参数化查询 参数化查询是一种防止SQL注入攻击的方法。在执行查询时,使用占位符?代替实际值,...
self.conn.close() return False def db_connection(func): def wrapper(*args, **kwargs): with DBConnection() as cursor: return func(cursor, *args, **kwargs) return wrapper class Database: @db_connection def some_query(self, cursor, *args): query = "YOUR SQL QUERY HERE" cursor....
cur = conn.cursor() cur.execute('create table if not exists numbers (id integer primary key ,number varchar(20) NOT NULL)') conn.commit() i = 0 for file in files: if file.split('.')[-1] == 'txt': with open(file,'r',encoding = 'UTF-8') as f: ...