Skip to main content

Benefits of multiple partitions

Benefits of multiple partitions

Logical partitions require extended partitions. In Windows, extended partitions can be used to create many logical partitions.
Creating more than one partition has the following advantages:
  • Separation of the operating system (OS) and program files from user files. This allows image backups (or clones) to be made of only the operating system and installed software.
  • Having a separate area for operating system virtual memory swapping/paging.
  • Keeping frequently used programs and data near each other.
  • Having cache and log files separate from other files. These can change size dynamically and rapidly, potentially making a file system full.
  • Use of multi-boot setups, which allow users to have more than one operating system on a single computer. For example, one could install Linux, BSD, Mac OS X, Microsoft Windows or other operating systems on different partitions of the same HDD and have a choice of booting into any compatible operating system at power-up.
  • Protecting or isolating files, to make it easier to recover a corrupted file system or operating system installation. If one partition is corrupted, other file systems may not be affected.
  • Raising overall computer performance on systems where smaller file systems are more efficient. For instance, large HDDs with only one NTFS file system typically have a very large sequentially accessed Master File Table (MFT) and it generally takes more time to read this MFT than the smaller MFTs of smaller partitions.
  • "Short Stroking", which aims to minimize performance-eating head repositioning delays by reducing the number of tracks used per HDD.[4] The basic idea is that you make one partition approx. 20-25% of the total size of the drive. This partition is expected to: occupy the outer tracks of the HDD, and offer more than double the throughput — less than half the access time. If you limit capacity with short stroking, the minimum throughput stays much closer to the maximum. This technique, however, is not related to creating multiple partitions, but generally just creating a partition less than the disk size.
    • For example, a 1 TB disk may have an access time of 12 ms at 200 IOPS (at a limited queue depth) with an average throughput of 100 MB/s. When it is partitioned to 100 GB (and the rest left unallocated) access time may be decreased to 6 ms at 300 IOPS (with a bigger queue depth) with an average throughput of 200 MB/s.
  • Partitioning for significantly less than the full size available when disk space is not needed can reduce the time for diagnostic tools such as checkdisk to run or for full image backups to run.

Disadvantages of multiple partitions

Creating more than one partition has the following disadvantages, as compared to having a single partition spanning the same disk area:

  • Reduces the total space available for user storage on the disk, as it forces the operating system to duplicate certain file system administration areas on the disk for each partition.
  • Reduces overall disk performance on systems where data is accessed regularly and in parallel on multiple partitions, because it forces the disk's read/write head to move back and forth on the disk to access data on each partition[5][6] and to maintain and update file system administration areas on each partition. It also prevents disk optimizers from moving all frequently accessed files closer to each other on the disk, which could reduce the number and distance of required head movements. Files can still be moved closer to each other on each partition, but those areas themselves will still be far apart on the disk. (See "short stroking" considerations above.) This issue does not apply to Solid-state drives as access times on those are neither affected by nor dependent upon relative sector positions.
  • Increases disk fragmentation because it lowers the average size of continuous free blocks on each partition - as compared to a single partition of the same overall size - after the same amount of data has been written to them.
  • May prevent using the whole disk capacity, because it may break free capacities apart.[7] For example, if you have a disk with two partitions, each with 3 GB free (hence 6 GB in total), you can't copy a 4 GB DVD image file on that disk, because none of the partitions will actually provide enough space for that - even though you have more than enough free capacity in total on the disk. If the same files on those two partitions would have been stored on a single partition spanning the whole disk, then the 4 GB file could be easily stored in the 6 GB of free space.
  • Hurts portability and might impose constraints on how entities might be linked together inside the file system. For example, Unix file systems and the NTFS file system allow hard links to be created only as long as both the link and the referenced file reside inside the same volume/partition.[8][9][10][11] Also under Windows if you're referencing a file on another partition, you can do that only by specifying the partition's assigned drive letter (or mount point) - which, however, might change with time and depending on the drives installed. This renders references invalid and dependent on actual drive letter assignment, which is not an issue if you have to reference files/directories only on the same partition, as in this case you can use directory-relative or root-relative references, without including the drive/partition letter.

Comments

Popular posts from this blog

OWASP Top 10 Threats and Mitigations Exam - Single Select

Last updated 4 Aug 11 Course Title: OWASP Top 10 Threats and Mitigation Exam Questions - Single Select 1) Which of the following consequences is most likely to occur due to an injection attack? Spoofing Cross-site request forgery Denial of service   Correct Insecure direct object references 2) Your application is created using a language that does not support a clear distinction between code and data. Which vulnerability is most likely to occur in your application? Injection   Correct Insecure direct object references Failure to restrict URL access Insufficient transport layer protection 3) Which of the following scenarios is most likely to cause an injection attack? Unvalidated input is embedded in an instruction stream.   Correct Unvalidated input can be distinguished from valid instructions. A Web application does not validate a client’s access to a resource. A Web action performs an operation on behalf of the user without checking a shared sec

CKA Simulator Kubernetes 1.22

  https://killer.sh Pre Setup Once you've gained access to your terminal it might be wise to spend ~1 minute to setup your environment. You could set these: alias k = kubectl                         # will already be pre-configured export do = "--dry-run=client -o yaml"     # k get pod x $do export now = "--force --grace-period 0"   # k delete pod x $now Vim To make vim use 2 spaces for a tab edit ~/.vimrc to contain: set tabstop=2 set expandtab set shiftwidth=2 More setup suggestions are in the tips section .     Question 1 | Contexts Task weight: 1%   You have access to multiple clusters from your main terminal through kubectl contexts. Write all those context names into /opt/course/1/contexts . Next write a command to display the current context into /opt/course/1/context_default_kubectl.sh , the command should use kubectl . Finally write a second command doing the same thing into /opt/course/1/context_default_no_kubectl.sh , but without the use of k

亲身经历告诉你慎重去Meta WLB差的卷组

 楼主终于要离职Meta了,终于离开了某卷组,原本以为自己是不怕累不怕加班的,心想如果多付出换来多回报也是值的。但事实给我上了一课,来跟大家分享一下不要选卷组的原因,以下都是楼主个人经历和想法,如有不同意见,轻喷。 1. 当卷组每个人都在疯狂contribute的时候,manager的期望会调整成组里的平均值,如果每个人都在疯狂加班,你也得被迫疯狂加班。我有时候甚至都怀疑有的人睡觉中途醒了是不是都会review个diff再继续睡。这种情况下,结果很可能是疯狂加班后也没有被recongnize也没有得到更多回报,简而言之就是rating未必更好,升职也不一定快。 2.  卷组的culture一言难尽。当大家都在疯狂赶工的时候,还顾得上考虑culture吗?当人在很忙很焦虑的时候,心态也不会很好。很多人在忙的时候说话就很冲,而且一不小心自己说错了什么也容易得罪人。Meta还有要peer feedback的习惯,有的时候感觉真的很憋屈... 3. 有的组太卷的原因是上面要的太多,而manager又很难或者不太会push back造成的。这种情况下,Eng加班是不情不愿的,疯狂赶工自然会牺牲质量,出了SEV以后,psc上面是要记一笔的。曾经见过某人疯狂赶project三四个月(上面期望的timeline不合理,但是push back无效),基本每天忙到凌晨12点到1点,但不小心搞出来一个SEV,最后psc给了个MA。大写的心疼... 4. 用lines of code 或者diff number作为一个重要的psc评判标准的组,要小心!个人认为这不是一个好事,有的project是需要investigate的,有的bug是需要时间才能查出来的。但是manager很难体谅,只会认为你能力低效率低(如果能体谅和理解,也不会把代码行数和diff 数量看那么重了 是吧),这种情况下,很考验一个人在这个组待了多久和有多熟悉codebase里有多少坑(一般这么move fast的组,codebase很多都是shi山,暗坑无数),组员都很忙 没有时间也没有义务告诉你哪里有坑,自己慢慢踩吧。 现在就想到这么多吧,真心建议大家不要走我的老路选卷组了。珍爱生命,远离卷组!