Exadata Griddisk Cant be auto added
近日遇到Exadata的磁盘故障,在更新完physicaldisk后,其中一个griddisk没有自动添加的到ASM实例中,在问题解决后,整理出整个问题分析的思路。1.在磁盘失败的情
近日遇到Exadata 的磁盘故障,在更新完physical disk后,其中一个griddisk没有自动添加的到ASM实例中,在问题解决后,整理出整个问题分析的思路。
1.在磁盘失败的情况下,如果有LED灯亮,如果怀疑是硬件问题需要首先收集硬件日志
首先需要使用sundiag.sh脚本收集cell硬件的信息,检查是否有硬件损坏,并定位具体设备,更换故障设备。
(注:sundiag.sh是oracle提供的硬件检查脚本,下面是在compute node上执行,然后到每一个compute node和cell的/tmp下找到生成的日志)
2.但是在还盘后问题没有解决, ASM不能自动增加griddisk到磁盘组, 下面是我的分析步骤3.解决方法及步骤
Exadata硬盘错误更换后的ASM磁盘组重新添加操作顺利完成。
在exadata上面通过grid用户把RECO_DM01_CD_03_DM01CEL03重新加入到ASM中。
整个操作过程如下:
(1)、操作之前查询的磁盘组相关信息:
(2)、把硬盘重新添加回磁盘组:
(3)、添加之后,查看磁盘组信息:
4.故障原因分析,分析Alert+ASM.log
5.Root Cause的最终分析
这个是由于一个physical disk最终划分到两个griddisk,当磁盘某一个扇区损坏,导致其中的一个griddisk直接被drop掉,另一个griddisk受到影响,但是并不会被drop,而是报警,在更坏新physical disk后,未损坏部分的griddisk直接被自动添加,而另一个必须手动添加。
针对这个问题深入分析,磁盘删除后会不会被ASM自动添加,取决于磁盘删除的方式
下面是继续分析,服务器空间,问题发生时,具体是什么问题导致的磁盘drop,才能分析出,后续为什么不能自动添加到ASM磁盘组中
=== 收集alert_+ASM.log信息,网站空间,问题发生时 。这部分显示的是能正常被自动添加的grid disk===
=== 收集alert_+ASM.log信息,问题发生时 。这部分显示的是不能正常被自动添加的grid disk===
6.总结
开始自己考虑到一个celldisk被分为两个griddisk,在reblance的时候一定是导致了I/O争用的问题导致了其中一个加载失败,但是后来重新分析日志,发现问题不在这里。
从源头开始查找,查找该griddisk第一报错的时候是什么原因,最后发现这行日志,这里就引出另一个问题,ASM实例磁盘组删除的问题,所以在分析问题没有足够说服力的时候,尝试从头来,换个思路,兴许,香港空间,问题就解决了。
本文出自 “小小狗窝” 博客,谢绝转载!

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

AI Hentai Generator
Generate AI Hentai for free.

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



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

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.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

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.

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.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
