liyancao001 发表于 2022-12-24 09:06:00

QT中mysql与命令行的数据不统一?

本帖最后由 liyancao001 于 2022-12-24 09:12 编辑

我使用qt连接mysql后新建的表,用命令行却查询不出来,用mysql workbench也查询不到,命令行和mysql workbench的信息是同步的。什么原因呢?
qt创建表的过程:
    qDebug() << QSqlDatabase::drivers() ;
    QSqlDatabase db = QSqlDatabase::addDatabase("QMYSQL");    //db.setHostName("127.0.0.1");//连接本地主机    db.setHostName("localhost");//连接本地主机    db.setPort(3306);    db.setDatabaseName("test");    db.setUserName("root");    db.setPassword("123456");
    bool ok = db.open();   if (ok){       QMessageBox::information(this, "infor", "link success");    }    else {       QMessageBox::information(this, "infor", "link failed");       qDebug()<<"error open database because"<<db.lastError().text();   }
    //创建表   QSqlQuery query(db);    //QSqlQuery query;      ok = query.exec("create table student(id int primary key auto_increment, "                  "name varchar(255), age int, score int)ENGINE=INNODB;");      if (!ok){         qDebug()<< "create table:" << query.lastError();   }
结果是没报错的,后面还有插入数据的代码,也是正常的。但是用命令行查询却查不到名字为student的表:mysql> use test;Database changedmysql> show tables;+----------------+| Tables_in_test |+----------------+| table1         |+----------------+1 row in set (0.01 sec)data:image/png;base64,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
命令行跟mysqlworkbench信息是同步的
图片放不上,提示不合法。。

liyancao001 发表于 2022-12-24 10:48:18

结果比较低级,后面把表给删除了
页: [1]
查看完整版本: QT中mysql与命令行的数据不统一?