Zabbix中配置DataGuard的监控
在zabbix中有了orabbix的辅助,监控效率大大提高,但是因为orabbix是基于jdbc的方式,有些监控还是有一些限制。比如DataGuard的检
在zabbix中有了orabbix的辅助,监控效率大大提高,但是因为orabbix是基于jdbc的方式,有些监控还是有一些限制。
比如DataGuard的检查,如果采用dg broker来检查,效果就更直观也更可信。
DGMGRL> show configuration;
Configuration - csdb
Protection Mode: MaxPerformance
Databases:
test- Primary database
stest- Physical standby database
Fast-Start Failover: DISABLED
Configuration Status:
SUCCESS
只要显示为SUCCESS,说明dg就是正常的。
如果通过orabbix来监控,只能通过主库中的v$dataguard_status来进行检查。
很多时候这种检查一方面很可能有误报,有时候可能会有很多额外的信息干扰。
所以使用orabbix来监控备库还是有一定的瓶颈,可以监控,但是结果还是不够可信。
这个时候还是投入zabbix的怀抱,我们还是需要通过zabbix的方法来辅助。
对于dg的检查,可以使用下面的脚本来检查
echo `sudo su -l Oracle EOD
EOF`|grep ORA- |wc -l
如果输出结果大于0,说明检查结果存在ORA错误。这个时候需要关注备库的情况。
在zabbix中的配置如下:
在zabbix agent的目录下配置这个参数
UserParameter=check.dg[*], sh /home/app/zabbix/script/check_dg.sh
然后在zabbix agent的script目录下,脚本check_dg.sh 的内容就是调用show configuration的结果。
这些配置还是方便的。
然后配置trigger
配置完成之后,就可以在zabbix server端进行验证。
# ./zabbix_get -s 10.xxx.xx.45 -k check.dg
ZBX_NOTSUPPORTED
这个时候说明agent这边校验失败,还是需要重启一下agent的。
这个时候如果备库存在问题显示也会为0,需要明辨。
如果备库确实存在问题,,显示结果就会大于0
# ./zabbix_get -s 10.127.133.45 -k check.dg
1
当然为了使得zabbix用户能够切换到oracle用户,还是需要使用sudo的方式为zabbix赋予权限,比如末尾的切换用户的su -l
zabbix ALL=(ALL) NOPASSWD: /etc/init.d/iptables status,/sbin/iptables -nL, /usr/bin/head -n 50, /var/log/secure,/bin/su -l *
一些Zabbix相关教程集合:
Ubuntu 14.04下Zabbix2.4.5 源码编译安装
安装部署分布式监控系统Zabbix 2.06
《安装部署分布式监控系统Zabbix 2.06》
CentOS 6.3下Zabbix安装部署
Zabbix分布式监控系统实践
CentOS 6.3下Zabbix监控apache server-status
CentOS 6.3下Zabbix监控MySQL数据库参数
64位CentOS 6.2下安装Zabbix 2.0.6
ZABBIX 的详细介绍:请点这里
ZABBIX 的下载地址:请点这里
本文永久更新链接地址:

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.

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.

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.

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.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

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.

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.
