mysql数据库实时监控工具Mycheckpoint介绍
本文章来介绍一款关于mysql数据库实时监控工具Mycheckpoint介绍,有需要的了解此工的朋友可参考。
安装文档:
http://code.openark.org/forge/mycheckpoint/documentation/quick-howto#Install
需求:
1.需要安装,并且版本大于2.4
shell > phthon看一下有没有装,没有就
yum install python2.需要安装Mysql-Python模块,RHEL,Centos方法如下,其它参考官方手册
yum install MySQL-python
安装:
tar xzfv mycheckpoint-208.tar.gz
cd mycheckpoint-208
sudo python setup.py install
3.创建:
mysql > CREATE DATABASE mycheckpoint;
mysql > GRANT ALL PRIVILEGES ON mycheckpoint.* TO 'monitoring_user'@'localhost' IDENTIFIED BY 'some_pass';
4.编辑配置文件:
vim /etc/mycheckpoint.cnf
[mycheckpoint]
#smtp_host = mail.my-server-company.com
#smtp_from = monitor@my-server-company.com
#smtp_to = dba@my-server-company.com
#monitored_port = 3306
purge_days = 60
#... Any command line option can go here; replace dash ("-") with underscored ("_")
[client]
user=dbmonitor
password=123456
socket=/tmp/mysql.sock
port=3306
host=localhost
5.部署:创建表,等其它操作
mycheckpoint deploy
6.写入crontab,每五分钟采集一次数据:
crontab -e写入如下代码
*/5 * * * * mycheckpoint
7.开启http服务(默认端口12306),加nohup可以在断开shell后HTTP仍然运行,也可以写入到启动脚本:
nohup mycheckpoint http > /dev/null &参数
–http-port 指定监听端口
OK,打开http://your_ip_address:12306/ 就能查看你刚才配置的mycheckpoint了,不过数据是整点生成的,所以你可能不得不等待一个小时以后才能看见生成的曲线,另外的这个软件还支持报警和用户定义数据记录,因为时间问题,先不在这里写明了。
查看帮助:
mycheckpoint --help
我们来看截图

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
