Hack and / - A Little Spring Cleaning
No matter how big your hard drives are, at some point you're going to look at your storage and wonder where all the space went. Your /home directory is probably a good example. If you are like me, you don't always clean up after yourself or organize immediately after you download a file. Sure, I have directories for organizing my ISOs, my documents and my videos, but more often than not, my home directory becomes the digital equivalent of a junk drawer with a few tarballs here, an old distribution ISO there and PDF specs for hardware I no longer own. Although some of these files don't really take up space on the disk—it's more a matter of clutter—when I'm running out of storage, I'd like to find the files that take up the most space and decide how to deal with them quickly. This month, I introduce some of my favorite commands for locating space-wasting files on my system and follow up with common ways to clear some space.
First, let's start with file clutter in your main home directory. Although all major GUI file managers these days make it easy to sort a directory by size, because I'm focusing on command-line tips, let's cover how to find the largest files in the current directory via the old standby, ls. If you type:
$ ls -lSh
you'll get a list of all the files in your current directory sorted by size. Of course, if you have a lot of files in the directory, the files you most want to see are probably somewhere along the top of the list, so I typically like to type:
$ ls -lSh | less
to see only the top ten largest files. Now, this is pretty basic, but it's worth reviewing, as you'll use these commands over and over again to track down space-wasting files. Depending on how you structure your home directory, you probably won't find all the large files together. It's more likely that they are scattered into different subdirectories, so you then need to scan through your directory structure recursively, tally up the disk space used in each directory, and sort the output. Luckily, you don't have to resort to ls for this; du does the job quite nicely. For instance, one common use for du that I see referenced a lot is the following:
$ du -sh *
This scans through all the subdirectories you list as arguments (in this case, all the subdirectories within my current directory) and then lists them one by one with human-readable file sizes (the -h option converts the file sizes into megabytes, gigabytes and so forth, so it's easier to read). Here's some example output from that command:
456K bin 28K Default-Compiz 16K hl4070cdwcups-1.0.0-7.i386.deb 344K hl4070cdwlpr-1.0.0-7.i386.deb 27M images 60K LexmarkC750.ppd 850M mail
Although you certainly could work with this information, it would be much easier if it were sorted. To do that, replace the -h argument with -k, and then pipe the output to sort:
$ du -sk * | sort -n 16 hl4070cdwcups-1.0.0-7.i386.deb 28 Default-Compiz 60 LexmarkC750.ppd 344 hl4070cdwlpr-1.0.0-7.i386.deb 456 bin 10224 writing 26948 images 869588 mail
This works better, because now I can see that my local e-mail cache is taking up the bulk of the storage; however, next I would need to change to the mail directory and run the command again, over and over, until I narrow it down to the subdirectory that has the large files. That's why I normally skip the above commands and go straight for what I affectionately call the duck command:
$ du -ck | sort -n . . . 87704 ./.mozilla 87704 ./.mozilla/firefox 119236 ./mail/example.net/sent-mail-2004 119236 ./mail/example.net/sent-mail-2004/cur 869852 ./mail 869852 ./mail/example.net 1064100 . 1064100 total
The -c option essentially recurses into each subdirectory like before, except it keeps a running tally of the space used by each subdirectory down the tree, not just the first level of directories. When it reports its findings, it might list the same top-level directory multiple times. This makes it easy to drill down to the actual directory that consumes the most space, which in this example seems to be ./mail/example.net/sent-mail-2004/cur. If I wanted to clean up files there, I could cd to that directory and then run the ls commands I used above to see which files used the most space.
Kyle Rankin is a VP of engineering operations at Final, Inc., the author of a number of books including DevOps Troubleshooting and The Official Ubuntu Server Book, and is a columnist for Linux Journal. Follow him @kylerankin.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide