file caching造句
例句與造句
- Lists the contents of the downloaded files cache
列出下載文件緩存的內(nèi)容。 - Db2 memory and file cache performance tuning on linux
Linux上的db2內(nèi)存和文件緩存性能調(diào)優(yōu) - Figure 2 illustrates the aggressive nature of linux file caching
圖2說明了linux文件緩存的貪婪性。 - This problem is accentuated when there is a large system file cache
當(dāng)需要緩存一個(gè)大型文件時(shí)，此問題尤為突出。 - D size of the file cache
D文件緩存的大小 - It's difficult to find file caching in a sentence. 用file caching造句挺難的
- This article summarizes issues related to memory utilization and file caching on linux
本文總結(jié)了linux上與內(nèi)存的使用和文件緩存相關(guān)的一些問題。 - The only exception is linux raw device tablespace containers , which inherently bypass the file cache
惟一的例外是linux原始設(shè)備表空間容器，因?yàn)樗旧砭屠@過文件緩存。 - Linux , under normal circumstances , uses a system file cache to buffer , read , and write requests from disk
在一般情況下， linux使用一個(gè)文件系統(tǒng)緩存為磁盤請(qǐng)求進(jìn)行緩沖和讀寫。 - The entire amount of memory allocated to all processes , kernel , and file cache is your total working set
分配給所有進(jìn)程、內(nèi)核和文件緩存的總內(nèi)存量就是您的全部工作區(qū)（ working set ） 。 - Lob and long varchar data fields will not typically benefit from direct i o and will continue to use the file cache
Lob和long varchar數(shù)據(jù)字段通常不能從直接i / o受益，因此將繼續(xù)使用文件緩存。 - Db2 bufferpools and the linux file cache perform largely the same function ; that is , cache a copy of data read from disk
Db2緩沖池與linux文件緩存基本上執(zhí)行相同的功能，也就是緩存從磁盤讀出的數(shù)據(jù)的拷貝。 - As noted earlier , the flow of reads under normal circumstances is to read into the file cache and then copy into the bufferpool
如前所述，一般情況下，讀操作的流程是先將數(shù)據(jù)讀到文件緩存中，然后再復(fù)制到緩沖池。 - Direct i o solves this issue by directing reads to be made directly from disk into db2 memory areas , bypassing the file cache entirely
直接i / o直接將數(shù)據(jù)從磁盤讀到db2內(nèi)存區(qū)域，完全繞過文件緩存，從而解決了上述問題。 - Prior to the linux 2 . 6 kernel , file caching on a linux system could go awry , using a huge number of cycles trying to manage the file cache
對(duì)于linux 2 . 6之前版本的內(nèi)核， linux系統(tǒng)上的文件緩存可能會(huì)出差錯(cuò)，需要花費(fèi)大量的周期來管理文件緩存。 - Memory utilization and file caching are related elements that affect performance and are important to consider when tuning a database system
內(nèi)存的使用和文件緩存是彼此相關(guān)的兩個(gè)部分，它們一起影響著性能，在對(duì)數(shù)據(jù)庫系統(tǒng)進(jìn)行調(diào)優(yōu)時(shí)，要重點(diǎn)考慮這兩個(gè)方面。
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