() # 将DataFrame数据插入到MySQL表中 for index, row in df.iterrows(): query = "INSERT INTO my_table (name, age, email) VALUES (%s, %s, %s)" values = (row['name'], row['age'], row['email']) cursor.execute(query, value
CsvParser+parse(filePath: String) : List>MySQLConnector+connect(database: String, user: String, password: String) : Connection+executeInsert(query: String) : voidDataImporter+importData(filePath: String) : void 数据导入流程 导入CSV数据到MySQL的步骤如下: 使用CSV解析器读取CSV文件。 连接MySQL数据库...
query = 'CREATE TABLE t (' query += ','.join('`{}` VARCHAR(255)'.format(column) for column in csv_file.fieldnames) query += ')' cursor.execute(query) for row in csv_file: query = 'INSERT INTO t SET ' query += ','.join('`{}` = ?'.format(column) for column in row.k...
mysql>CREATETABLEtest(iINTNOTNULL,cCHAR(10)NOTNULL)ENGINE=CSV;Query OK, 0 rows affected (0.06 sec)mysql>INSERTINTOtestVALUES(1,'record one'),(2,'record two');Query OK, 2 rows affected (0.05 sec)Records: 2 Duplicates: 0 Warnings: 0mysql>SELECT*FROMtest;+---+---+|i|c|+---+-...
1、通过SQL的insert方法一条一条导入,适合数据量小的CSV文件,这里不做赘述。 2、通过load data方法导入,速度快,适合大数据文件,也是本文的重点。 样本CSV文件如下: 总体工作分为3步: 1、用python连接mysql数据库,可参考如何使用python连接数据库? 2、基于CSV文件表格字段创建表 ...
placeholders= (numfields-1) *"%s,"+"%s"query= ("insert into %s"% table) + ("values (%s)"%placeholders)returnqueryif__name__=='__main__':#commandline executionargs= sys.argv[1:]if(len(args) < 5):print('error: arguments: user \"password\" db table csvfile') ...
php实现csv文件导入mysql数据库 config.db.php内容如下;1 2 3 4 5 6 7 8 9 10 <?php $username="root"; $userpass="123"; $dbhost="localhost"; $dbdatabase="credits2stakes"; //生成一个连接 $db_connect=mysql_connect($dbhost,$username,$userpass) or die("Unable to connect to the ...
mysql> load data infile 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/user_info_utf.csv' -> into table userinfo -> fields terminated by ',' ; Query OK, 32079 rows affected (0.26 sec) Records: 32079 Deleted: 0 Skipped: 0 Warnings: 0 5、成功。 补充说明: 在第4步中,对于MySQL 8.0的版...
1",database="test",user="sa",password="123"):# pymssql.create_engine是数据库引擎# ('mysql+...
mysql> CREATE TABLE test (i INT NOT NULL, c CHAR(10) NOT NULL) -> ENGINE = CSV; Query OK, 0 rows affected (0.06 sec) mysql> INSERT INTO test -> VALUES ROW(1,'record one'), ROW(2,'record two'); Query OK, 2 rows affected (0.05 sec) Records: 2 Duplicates: 0 Warnings: 0 ...