Hoffman2:Quotas: Difference between revisions
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Every so often, some spring cleaning is useful. We have an app for that. | Every so often, some spring cleaning is useful. We have an app for that. | ||
=====clean_me.py===== | =====clean_me.py===== | ||
:Available to everyone in the FMRI usergroup on Hoffman2, this script was designed to find certain types of pesky files that have been known to build up over time but aren't actually necessary | :Available to everyone in the FMRI usergroup on Hoffman2, this script was designed to find certain types of pesky files that have been known to build up over time but aren't actually necessary: | ||
:* ''.DS_store'' files | :* ''.DS_store'' files | ||
:* Empty directories | :* Empty directories | ||
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:* mat files | :* mat files | ||
:and it gives you the option of deleting them. | :and it gives you the option of deleting them. | ||
==When it Hits the Fan== | |||
You tried to remember to clean up your files, you even kept a large dataset on your computer last weekend instead of working with it on Hoffman2. But still your quota, or your group's quota was reached. How does one fix this? | |||
# First things first, run <code>clean_me.py</code> | |||
# Start identifying what you can delete. This is a wonderful opportunity to audit your home directory to see what really is in the directory called ''temp-567'' and what you actually put in the file ''subjects-az-list''. | |||
# [[Tar Tutorial|Tar]] things up. That is to say, take that huge collection of DICOM files and turn them into a single file to cut down on overhead. Unfamiliar with what tar is? Check out the [[Tar Tutorial]]. |
Revision as of 03:50, 14 March 2012
Users and groups of users on Hoffman2 only have access to a predefined amount of disk space.
- After quota is reached, your account (or all the accounts of the group) will have reduced capabilities since you won't be able to make any new files.
Stay In The Know
Keep yourself apprised of how much data you are using with these tools.
myquota
- Returns information about how much disk space you are using. An example output is shown below.
User quotas for eplau (UID 8693) (in GBs): Filesystem Usage (in GB) Quota File Count File Quota /home/mscohen 141 5120 58575 8000000 Filesystem /home/mscohen usage: 3857 of 5120 GBs (75.3%) and 7024000 of 8000000 files (87.8%) /home/sbook 1 2048 4 5000000 Filesystem /home/sbook usage: 5901 of 6144 GBs (96.1%) and 5881211 of 6000000 files (98.0%)
groupquota
- Returns information about how much space you and everyone in your group are using on Hoffman2. An example output is shown below.
Filesystem /home/mscohen usage: 3857 of 5120 GBs (75.3%) and 7024000 of 8000000 files (87.8%) Space usage (in GB) for /u/home/FMRI/mscohen userid Usage Quota File Count File Quota -------- ----- ----- ---------- ---------- aarontre 0 5120 58 8000000 alenarto 301 5120 124547 8000000 alhead 1 5120 286 8000000 ariana 343 5120 1554618 8000000 ascott 240 5120 390940 8000000 ayc 102 5120 1538688 8000000 cculbert 143 5120 458313 8000000 cdrodrig 0 5120 48 8000000 data n.a. dcmoyer 2 5120 2848 8000000 diannaha 0 5120 171 8000000 eplau 141 5120 58575 8000000 ewang 0 5120 259 8000000 galiname 0 5120 24 8000000 hfard 0 5120 1 8000000 jbramen 528 5120 501460 8000000 jkyle 19 5120 75078 8000000 jlabus 19 5120 3415 8000000 jrpage 4 5120 1074 8000000 jungheel 21 5120 55444 8000000 kaavyara 0 5120 1059 8000000 kerr 873 5120 210424 8000000 mlschaef 6 5120 9816 8000000 mscohen 26 5120 28258 8000000 mundaeru 0 5120 10 8000000 p1p1p1p1 58 5120 141420 8000000 pamelita 628 5120 724094 8000000 pvaldes 158 5120 17312 8000000 sshresth 0 5120 243 8000000 weili15 58 5120 275735 8000000 xiahongj 176 5120 849633 8000000
Clean Up After Yourself
Every so often, some spring cleaning is useful. We have an app for that.
clean_me.py
- Available to everyone in the FMRI usergroup on Hoffman2, this script was designed to find certain types of pesky files that have been known to build up over time but aren't actually necessary:
- .DS_store files
- Empty directories
- tsplots
- Empty files
- Extended Attributes
- mat files
- and it gives you the option of deleting them.
When it Hits the Fan
You tried to remember to clean up your files, you even kept a large dataset on your computer last weekend instead of working with it on Hoffman2. But still your quota, or your group's quota was reached. How does one fix this?
- First things first, run
clean_me.py
- Start identifying what you can delete. This is a wonderful opportunity to audit your home directory to see what really is in the directory called temp-567 and what you actually put in the file subjects-az-list.
- Tar things up. That is to say, take that huge collection of DICOM files and turn them into a single file to cut down on overhead. Unfamiliar with what tar is? Check out the Tar Tutorial.