如果你想进行监控和统计，那么有一个很好的开源工具Percona monitoring and Management

但它是一个基于服务器的系统，并且它的启动不是很简单。

并有现场演示系统进行测试。

这是我所遇到的Linux Ubuntu机器上最简单的设置。看到所有的查询都很疯狂。

找到并打开MySQL配置文件，通常是Ubuntu上的/etc/mysql/my.cnf。寻找“日志记录和复制”部分

#
# * Logging and Replication
#
# Both location gets rotated by the cronjob.
# Be aware that this log type is a performance killer.

log = /var/log/mysql/mysql.log

只需取消“log”变量的注释就可以打开日志记录。使用以下命令重新启动MySQL:

sudo /etc/init.d/mysql restart

现在，我们已经准备好开始监视进入的查询。打开一个新终端并运行此命令滚动日志文件，如果需要可以调整路径。

tail -f /var/log/mysql/mysql.log

现在运行应用程序。您将看到在终端窗口中开始出现数据库查询。(确保在终端上启用了滚动和历史记录)

从http://www.howtogeek.com/howto/database/monitor-all-sql-queries-in-mysql/

我一直想做同样的事情，并从各种帖子中拼凑出了一个解决方案，再加上创建了一个小的控制台应用程序来输出实时查询文本，因为它被写入日志文件。这在我的情况下是重要的，因为我使用实体框架与MySQL，我需要能够检查生成的SQL。

创建日志文件的步骤(一些其他帖子的复制，这里都是为了简单起见):

Edit the file located at: C:\Program Files (x86)\MySQL\MySQL Server 5.5\my.ini Add "log=development.log" to the bottom of the file. (Note saving this file required me to run my text editor as an admin). Use MySql workbench to open a command line, enter the password. Run the following to turn on general logging which will record all queries ran: SET GLOBAL general_log = 'ON'; To turn off: SET GLOBAL general_log = 'OFF'; This will cause running queries to be written to a text file at the following location. C:\ProgramData\MySQL\MySQL Server 5.5\data\development.log Create / Run a console app that will output the log information in real time: Source available to download here Source: using System; using System.Configuration; using System.IO; using System.Threading; namespace LiveLogs.ConsoleApp { class Program { static void Main(string[] args) { // Console sizing can cause exceptions if you are using a // small monitor. Change as required. Console.SetWindowSize(152, 58); Console.BufferHeight = 1500; string filePath = ConfigurationManager.AppSettings["MonitoredTextFilePath"]; Console.Title = string.Format("Live Logs {0}", filePath); var fileStream = new FileStream(filePath, FileMode.Open, FileAccess.ReadWrite, FileShare.ReadWrite); // Move to the end of the stream so we do not read in existing // log text, only watch for new text. fileStream.Position = fileStream.Length; StreamReader streamReader; // Commented lines are for duplicating the log output as it's written to // allow verification via a diff that the contents are the same and all // is being output. // var fsWrite = new FileStream(@"C:\DuplicateFile.txt", FileMode.Create); // var sw = new StreamWriter(fsWrite); int rowNum = 0; while (true) { streamReader = new StreamReader(fileStream); string line; string rowStr; while (streamReader.Peek() != -1) { rowNum++; line = streamReader.ReadLine(); rowStr = rowNum.ToString(); string output = String.Format("{0} {1}:\t{2}", rowStr.PadLeft(6, '0'), DateTime.Now.ToLongTimeString(), line); Console.WriteLine(output); // sw.WriteLine(output); } // sw.Flush(); Thread.Sleep(500); } } } }

Gibbs MySQL Spyglass

AgilData最近推出了Gibbs MySQL可伸缩性顾问(一个免费的自助服务工具)，它允许用户捕获实时查询流并上传到Gibbs。Spyglass(它是开源的)将监视MySQL服务器和客户端应用程序之间的交互。不需要重新配置或重新启动MySQL数据库服务器(无论是客户端还是应用程序)。

GitHub: AgilData / gibbs-mysql-spyglass

了解更多:包捕获MySQL与Rust

安装命令:

curl -s https://raw.githubusercontent.com/AgilData/gibbs-mysql-spyglass/master/install.sh | bash

你可以很容易地将每个查询记录到日志文件中:

mysql> SHOW VARIABLES LIKE "general_log%";

+------------------+----------------------------+
| Variable_name    | Value                      |
+------------------+----------------------------+
| general_log      | OFF                        |
| general_log_file | /var/run/mysqld/mysqld.log |
+------------------+----------------------------+

mysql> SET GLOBAL general_log = 'ON';

执行查询(在任何db上)。查看/var/run/mysqld/mysqld.log

那就别忘了

mysql> SET GLOBAL general_log = 'OFF';

否则，性能将急剧下降，磁盘将被填满!

我处于一种特殊的情况，我没有打开日志的权限，如果日志被打开，我也没有查看日志的权限。我不能添加触发器，但我确实有权限调用show processlist。所以，我尽了最大的努力，想出了这个:

创建一个名为"showsqlprocesslist"的bash脚本:

#!/bin/bash

while [ 1 -le 1 ]
do
         mysql --port=**** --protocol=tcp --password=**** --user=**** --host=**** -e "show processlist\G" | grep Info | grep -v processlist | grep -v "Info: NULL";
done

执行脚本:

./showsqlprocesslist > showsqlprocesslist.out &

尾部输出:

tail -f showsqlprocesslist.out

宾果得了。即使它没有节流，它只占用2-4%的CPU在我运行它的盒子上。我希望这能帮助到一些人。