Tuning 04 Sizing the Buffer Cache




Buffer Cache 特性
The buffer cache holds copies of the data blocks from the data files. Because the buffer cache is a part of the SGA, these blocks can be shared by all users. The server processes read data from the data files into buffer cache.(是server process 将数据从硬盘读取到内存的) To improve performance, the server process sometimes reads multiple blocks in a single read. The DBWn process writes data from the buffer cache into the data files. To improve performance, DBWn writes multiple blocks in a single write.
DB_CACHE_SIZE: specifies the size of default buffer pool in bytes.
DBA_KEEP_CACHE_SIZE: specifies the size of keep buffer pool in bytes.
DBA_RECYCLE_CACHE_SIZE: specifies the size of recycle buffer pool in bytes.
The blocks in the buffer cache are managed using two lists:
- The least recently used(LRU) list is used to keep the most recently accessed blocks in memory. The blocks on the list are organized from the most recently used(MRU) to the recently used. (最后最多被使用)
- The dirty list points to blocks in the buffer cache that have been modified but not written to disk.
Blocks in the buffer cache can be in one or three states:
- Free buffers are blocks that have the same image on disk and in memory. These blocks are availiable for reuse.
- Dirty blocks are blocks with a different image in memory than the image on disk. These blocks must be written to disk before they can be reused.
- Pinned buffers are memory blocks that are currently being accessed.


When a server needs a block, it follows these steps to read the block:
1. Firstm the server checks wether the required block is available in the buffer cache using a hash function. If the block is found, it is moved to another point in LRU list away from the LRU end. This is a logical read, because no actual I/O took place. If the block is not found in the buffer cache, the server process has to read the block from the data file.
2. Before reading from the data file, the server process searches the LRU list for a free block.
3. While searching the LRU list, the server process moves dirty blocks to the dirty list.
4. If the dirty list exceeds its size threshold, the server signals DBWn to flush dirty blocks from the data buffer cache. If the server cannot find a free block within a search threshold, it signals DBWn to flush.
5. After a free block is found, the server reads the block from the data file into the free block in the database buffer cache. Oracle server process moves the block away from the LRU end of the LRU list.
6. If the block is not consistent, the server rebuilds an earlier version of the block from the current block and rollback segments.
7. Dirty List Exceeds its Size Threshold: A server process finds that the dirty list has exceeded its size threshold, so it signals DBWn to flush. DBWn writes out the blocks on the dirty list.
8. Search Threshold Exceeded: A server process that cannot find a free block on the LRU list within the search threshold signals DBWn to flush dirty blocks. DBWn writes out dirty blocks directly from the LRU list.


可见, buffer cache 还是要提高命中率的问题, 即 让 server process 想找的block恰好在memory中, 直接进行操作.
To improve the cache hit ratio, the DBA can:
- Increase the size of buffer cache
- Use multiple buffer pools to separate blocks by access characteristics
- Configure the tables to be cached in memory
- Configure to bypass the buffer cache for sorting and parallel reads if possible.
另外一点可以看出, 监控系统的 I/O 操作也是很重要的












Tuning 04 Sizing the Buffer Cache的更多相关文章
- Page Cache buffer Cache
https://www.thomas-krenn.com/en/wiki/Linux_Page_Cache_Basics References Jump up ↑ The Buffer Cache ( ...
- Linux中的Buffer Cache和Page Cache echo 3 > /proc/sys/vm/drop_caches Slab内存管理机制 SLUB内存管理机制
Linux中的Buffer Cache和Page Cache echo 3 > /proc/sys/vm/drop_caches Slab内存管理机制 SLUB内存管理机制 http://w ...
- buffer cache —— buffer busy waits/read by other session
oracle提供非常精确.有效的row level lock机制,多个用户同时修改数据时,为了保护数据,以块为单位挂起锁的情况不会发生.但这不太正确.以块为单位的锁虽然不存在,但正因为oracle I ...
- tuning 03 Sizing the Share pool
share pool : (组成) library cache: stores shared sql and pl/sql code (包含 statement text, parsed code, ...
- 相克军_Oracle体系_随堂笔记005-Database buffer cache
本章主要阐述SGA中的Database buffer cache. Buffer cache { 1.pin (读写瞬间的状态) 2.clean 3.dirty 4.unused } --Databa ...
- Buffer cache hit ratio性能计数器真的可以作为内存瓶颈的判断指标吗?
Buffer cache hit ratio官方是这么解释的:“指示在缓冲区高速缓存中找到而不需要从磁盘中读取的页的百分比.” Buffer cache hit ratio被很多人当做判断内存的性能指 ...
- Buffer Cache
Buffer Cache Buffer Cache是SGA区中专门用于存放从数据文件中读取的的数据块拷贝的区域.Oracle进程如果发现需要访问的数据块已经在buffer cache中,就直接读写内存 ...
- Oracle buffer cache
Buffer Cache buffer cache 结构图 HASH链 ORACLE使用HASH算法,把buffer cache中每个buffer的buffer header串联起来,组成多条hash ...
- Oracle优化 -- 关于Database Buffer Cache相关参数DB_CACHE_SIZE的优化设置
select size_for_estimate, buffers_for_estimate ,ESTD_PHYSICAL_READ_factor,ESTD_PHYSICAL_READS from v ...
随机推荐
- github下fork后如何同步源的新更新
当然,那是完全不用命令行的办法,其实我还是更推荐命令行,流程如下: 首先要先确定一下是否建立了主repo的远程源: git remote -v 如果里面只能看到你自己的两个源(fetch 和 push ...
- VP9 Video Codec
http://www.webmproject.org/vp9/ WebM Repositories libvpx: VP8/VP9 Codec SDK pull http://git.chromi ...
- CocoSourcesCS 2
CocoSourcesCS 2 /*------------------------------------------------------------------------- DFA.cs - ...
- 超棒的JS移动设备滑动内容幻灯实现 - Swiper
来源:GBin1.com 在线演示 如果你需要一款帮助你实现手机或者移动设备上内容幻灯实现的JS类库的话 , Swiper是一个不错的选择,它不依赖于任何第三方的类库.因此体积非常小,适合运行在移动设 ...
- .Net Framework 之 框架图
.Net Framework框架图,如下图: 它表明了这么一种编写软件的方式或者说表明了.Net平台下开发软件的思想和规范. .Net Framework框架实际只包含两部分: 1.公共语言运行时( ...
- Struts 第一个Hello页面
在工程目录的src下新建 struts.xml <?xml version="1.0" encoding="UTF-8" ?> <!DOC ...
- java集合框架01——总体框架一览
java集合框架是java提供的工具包,在java.util.*中,这个包中包含了常用的数据结构:集合.数组.链表.栈.队列.映射等.java集合框架主要可以分为四个部分:List列表.Set集合.M ...
- SGA 的自动管理
在Oracle10g中,不必再如从前一样用下列各个参数分别指定SGA的每个部分的大小.也就是说不需要首先评估SGA各组件的大小,并且在init<SID>.ora初始参数文件中分组件指定.( ...
- 最实用、最常用的jQuery代码片段
// chinacoder.cn JavaScript Document $(document).ready(function() { //.filter(":not(:has(.selec ...
- python --存储对象
转自:http://www.cnblogs.com/vamei/archive/2012/09/15/2684781.html 在之前对Python对象的介绍中 (面向对象的基本概念,面向对象的进一步 ...