注意: ASMB process exiting due to lack of ASM file activity 参考原文: NOTE: ASMB process exiting due to lack of ASM file activity (Doc ID 754110.1) 适用于: Oracle Server - Enterprise Edition - Version 10.1.0.2 to 11.2.0.4 [Release 10.1
注意: ASMB process exiting due to lack of ASM file activity
参考原文:
NOTE: ASMB process exiting due to lack of ASM file activity (Doc ID 754110.1)
适用于:
Oracle Server - Enterprise Edition - Version 10.1.0.2 to 11.2.0.4 [Release 10.1 to 11.2]
Information in this document applies to any platform.
***Checked for relevance on 16-Jan-2013***
症状:
你会在asm 实例的alert.log中看到如下的消息:
NOTE: ASMB process exiting due to lack of ASM file activity
asmb 运行在 使用 asm 磁盘组的 database实例中。
asmb进程与asm 实例进程通信,管理存储和提供统计信息。
asmb也能运行在asm 实例中
当 asmcmd cp命令运行 或者 使用spfile(该spfile存储于asm 磁盘组中)启动数据库实例时,asmb进程会运行。
上面的话我们可以做如下的翻译:
+ 正常情况下,asmb进程运行在使用asm磁盘组的数据库实例中。
+ 仅仅限于如下的情况发生时,asmb进程才运行在asm实例中:
asmcmd cp命令运行
或者
使用spfile(该spfile存储于asm 磁盘组中)启动数据库实例时
因此,在asm 实例alert日志中的这个消息 已经相当明确:
由于没有我没有activity,我将退出(quit)
解决方案:
这是通知性的信息。这并不代表你的asm实例有任何问题。你可以安全的忽略该消息。
References:
==========
Oracle? Database Storage Administrator's Guide
11g Release 1 (11.1)
Part Number B31107-05
ASM Background Processes
http://download.oracle.com/docs/cd/B28359_01/server.111/b31107/asminst.htm#CHDCFCBJ
NOTE:
虽然这些信息只适用于 11g的文档,但是它依然对10g asm适用。

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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

Dreamweaver Mac version
Visual web development tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

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

Atom editor mac version download
The most popular open source editor

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
