无需更改任何配置文件..

使用@vhu发布的命令查找secure_file_priv的值:SHOW VARIABLES LIKE "secure_file_priv" 定义查询的完整路径，例如:select * from table into outfile 'secure_file_priv_PATH/OUTPUT-FILE'…剩下的问题

这适用于我的mysql-shell在ubuntu 18.04 LTS mysql 5.7.29

对于mysql 8.0版本，你可以这样做:

mysql.server stop
mysql.server start --secure-file-priv=''

这招在Mac High Sierra很管用。

我在这方面遇到了各种各样的问题。我在修改my。cnf和其他版本试图显示的各种疯狂的东西。

对我有用的是:

我得到的错误

MySQL服务器正在使用——secure-file-priv选项运行，所以它不能执行这条语句

我可以通过打开/usr/local/mysql/support-files/mysql来修复它。服务器，更改如下行:

$bindir/mysqld_safe --datadir="$datadir" --pid-file="$mysqld_pid_file_path" -- $other_args >/dev/null &
  wait_for_pid created "$!" "$mysqld_pid_file_path"; return_value=$?

to

$bindir/mysqld_safe --datadir="$datadir" --pid-file="$mysqld_pid_file_path" --secure-file-priv="" $other_args >/dev/null &
  wait_for_pid created "$!" "$mysqld_pid_file_path"; return_value=$?

如果你在Ubuntu上运行，你可能还需要配置Apparmor以允许MySQL写入到你的文件夹，例如，以下是我的配置:

将这一行添加到文件/etc/ apparor .d/usr.sbin中。mysqld:

/var/lib/mysql-files/* rw

然后在/etc/mysql/my.cnf部分添加以下两行配置:

[client]
loose-local-infile = 1

[mysqld]
secure-file-priv = ""

下面是我的SQL语句:

select id from blahs into outfile '/var/lib/mysql-files/blahs';

这对我很管用。好运！

我正在Debian上的MySQL5.7.11上工作，为我工作的命令是:

mysql> SELECT @@global.secure_file_priv;

我创建了一个NodeJS导入脚本，如果你正在运行NodeJS，你的数据是以下形式(双引号+逗号和\n新行)

INSERT INTO <your_table> VALUEs( **CSV LINE **)

这个配置为在http://localhost:5000/import上运行。

我逐行创建查询字符串

"city","city_ascii","lat","lng","country","iso2","iso3","id"
"Tokyo","Tokyo","35.6850","139.7514","Japan","JP","JPN","1392685764",
...

server.js

const express = require('express'),
   cors = require('cors'),
   bodyParser = require('body-parser'),
   cookieParser = require('cookie-parser'),
   session = require('express-session'),
   app = express(),
   port = process.env.PORT || 5000,
   pj = require('./config/config.json'),
   path = require('path');

app.use(bodyParser.json());
app.use(cookieParser());
app.use(cors());


app.use(
   bodyParser.urlencoded({
      extended: false,
   })
);

var Import = require('./routes/ImportRoutes.js');

app.use('/import', Import);
if (process.env.NODE_ENV === 'production') {
   // set static folder
   app.use(express.static('client/build'));

   app.get('*', (req, res) => {
      res.sendFile(path.resolve(__dirname, 'client', 'build', 'index.html'));
   });
}

app.listen(port, function () {
   console.log('Server is running on port: ' + port);
});

ImportRoutes.js

const express = require('express'),
   cors = require('cors'),
   fs = require('fs-extra'),
   byline = require('byline'),
   db = require('../database/db'),
   importcsv = express.Router();

importcsv.use(cors());

importcsv.get('/csv', (req, res) => {

   function processFile() {
      return new Promise((resolve) => {
         let first = true;
         var sql, sqls;
         var stream = byline(
            fs.createReadStream('../PATH/TO/YOUR!!!csv', {
               encoding: 'utf8',
            })
         );

         stream
            .on('data', function (line, err) {
               if (line !== undefined) {
                  sql = 'INSERT INTO <your_table> VALUES (' + line.toString() + ');';
                  if (first) console.log(sql);
                  first = false;
                  db.sequelize.query(sql);
               }
            })
            .on('finish', () => {
               resolve(sqls);
            });
      });
   }

   async function startStream() {
      console.log('started stream');
      const sqls = await processFile();
      res.end();
      console.log('ALL DONE');
   }

   startStream();
});

module.exports = importcsv;

Db.js是配置文件

const Sequelize = require('sequelize');
const db = {};
const sequelize = new Sequelize(
   config.global.db,
   config.global.user,
   config.global.password,
   {
      host: config.global.host,
      dialect: 'mysql',
      logging: console.log,
      freezeTableName: true,

      pool: {
         max: 5,
         min: 0,
         acquire: 30000,
         idle: 10000,
      },
   }
);

db.sequelize = sequelize;
db.Sequelize = Sequelize;

module.exports = db;

免责声明:这不是一个完美的解决方案-我只是发布给那些在时间轴下有大量数据要导入的开发人员，并且遇到了这个荒谬的问题。我在这方面损失了很多时间，我希望其他开发人员也能节省同样的时间。