egrep İle Arama Renklendirme…

Aralık 30, 2013 § Yorum yok § Kalıcı bağlantı

egrep --color=always 'configuration|emulation' *.txt

veya

egrep --color=always -e 'configuration' -e 'emulation' *.txt

Birden fazla text dosyasının içeriklerini görüntülemek

Aralık 27, 2013 § Yorum yok § Kalıcı bağlantı

grep kullanarak text dosyalarının boş olmayan satırlarını görüntüleyelim.

[deneme]$ grep . *
1.txt:asd
1.txt:asd
1.txt:as
1.txt:d
1.txt:234
1.txt:234
1.txt:23
1.txt:4
1.txt:34
1.txt:23
1.txt:4
2.txt:12312
2.txt:12
2.txt:3
2.txt:34
2.txt:45
2.txt:34
2.txt:5
2.txt:34
2.txt:5345
2.txt:3
2.txt:45
2.txt:34
2.txt:5

grep kullanarak boş satırları da görmek istiyorsak

deneme]$ grep ^ *
1.txt:asd
1.txt:asd
1.txt:as
1.txt:d
1.txt:
1.txt:
1.txt:234
1.txt:
1.txt:234
1.txt:23
1.txt:4
1.txt:34
1.txt:23
1.txt:4
2.txt:12312
2.txt:12
2.txt:3
2.txt:
2.txt:34
2.txt:45
2.txt:34
2.txt:5
2.txt:34
2.txt:5345
2.txt:3
2.txt:45
2.txt:34
2.txt:5


More kullanarak benzer etkiyi yapmak için

[deneme]$ more * | cat 
::::::::::::::
1.txt
::::::::::::::
asd
asd
as
d


234

234
23
4
34
23
4
::::::::::::::
2.txt
::::::::::::::
12312
12
3

34
45
34
5
34
5345
3
45
34
5

Aynı etkiyi head ile yapmak

[deneme]$ head -n 99999 * 
==> 1.txt <==
asd
asd
as
d


234

234
23
4
34
23
4

==> 2.txt <==
12312
12
3

34
45
34
5
34
5345
3
45
34
5


SCP Kullanmak

Ekim 10, 2013 § Yorum yok § Kalıcı bağlantı

Ayrintilari gormek icin -v kullanilir.

scp -v Label.pdf mrarianto@202.x.x.x:.


Executing: program /usr/bin/ssh host 202.x.x.x, user mrarianto, command scp -v -t .
OpenSSH_6.0p1 Debian-3, OpenSSL 1.0.1c 10 May 2012
debug1: Reading configuration data /etc/ssh/ssh_config
debug1: /etc/ssh/ssh_config line 19: Applying options for *
debug1: Connecting to 202.x.x.x [202.x.x.x] port 22.
debug1: Connection established.
debug1: Host '202.x.x.x' is known and matches the RSA host key.
debug1: Found key in /home/pungki/.ssh/known_hosts:1
debug1: ssh_rsa_verify: signature correct
debug1: Next authentication method: password
mrarianto@202.x.x.x's password:
debug1: Authentication succeeded (password).
Authenticated to 202.x.x.x ([202.x.x.x]:22).
Sending file modes: C0770 3760348 Label.pdf
Sink: C0770 3760348 Label.pdf
Label.pdf 100% 3672KB 136.0KB/s 00:27
Transferred: sent 3766304, received 3000 bytes, in 65.2 seconds
Bytes per second: sent 57766.4, received 46.0
debug1: Exit status 0

Kopyalanan dosyanin modification time, access time ve mode bilgilarini korumak icin -p kullanilir

scp -p Label.pdf mrarianto@202.x.x.x:.

mrarianto@202.x.x.x's password:
Label.pdf 100% 3672KB 126.6KB/s 00:29

Ag uzerinde giden dosyaya sikistirma yapmak icin -C kullanilabilir
93 MB dosyayi sikistirma kullanmadan gonderelim

scp -pv messages.log mrarianto@202.x.x.x:..

Executing: program /usr/bin/ssh host 202.x.x.x, user mrarianto, command scp -v -p -t .
OpenSSH_6.0p1 Debian-3, OpenSSL 1.0.1c 10 May 2012
debug1: Reading configuration data /etc/ssh/ssh_config
debug1: /etc/ssh/ssh_config line 19: Applying options for *
debug1: Connecting to 202.x.x.x [202.x.x.x] port 22.
debug1: Connection established.
debug1: identity file /home/pungki/.ssh/id_rsa type -1
debug1: Found key in /home/pungki/.ssh/known_hosts:1
debug1: ssh_rsa_verify: signature correct
debug1: Trying private key: /home/pungki/.ssh/id_rsa
debug1: Next authentication method: password
mrarianto@202.x.x.x's password:
debug1: Authentication succeeded (password).
Authenticated to 202.x.x.x ([202.x.x.x]:22).
debug1: Sending command: scp -v -p -t .
File mtime 1323853868 atime 1380425711
Sending file timestamps: T1323853868 0 1380425711 0
messages.log 100% 93MB 58.6KB/s 27:05
Transferred: sent 97614832, received 25976 bytes, in 1661.3 seconds
Bytes per second: sent 58758.4, received 15.6
debug1: Exit status 0

Islem 1661.3 saniye zaman aldi.
Simdi sikistirarak gonderelim

scp -Cpv messages.log mrarianto@202.x.x.x:.
 
Executing: program /usr/bin/ssh host 202.x.x.x, user mrarianto, command scp -v -p -t .
OpenSSH_6.0p1 Debian-3, OpenSSL 1.0.1c 10 May 2012
debug1: Reading configuration data /etc/ssh/ssh_config
debug1: /etc/ssh/ssh_config line 19: Applying options for *
debug1: Connecting to 202.x.x.x [202.x.x.x] port 22.
debug1: Connection established.
debug1: identity file /home/pungki/.ssh/id_rsa type -1
debug1: Host '202.x.x.x' is known and matches the RSA host key.
debug1: Found key in /home/pungki/.ssh/known_hosts:1
debug1: ssh_rsa_verify: signature correct
debug1: Next authentication method: publickey
debug1: Trying private key: /home/pungki/.ssh/id_rsa
debug1: Next authentication method: password
mrarianto@202.x.x.x's password:
debug1: Enabling compression at level 6.
debug1: Authentication succeeded (password).
Authenticated to 202.x.x.x ([202.x.x.x]:22).
debug1: channel 0: new [client-session]
debug1: Sending command: scp -v -p -t .
File mtime 1323853868 atime 1380428748
Sending file timestamps: T1323853868 0 1380428748 0
Sink: T1323853868 0 1380428748 0
Sending file modes: C0600 97517300 messages.log
messages.log 100% 93MB 602.7KB/s 02:38
Transferred: sent 8905840, received 15768 bytes, in 162.5 seconds
Bytes per second: sent 54813.9, received 97.0
debug1: Exit status 0
debug1: compress outgoing: raw data 97571111, compressed 8806191, factor 0.09
debug1: compress incoming: raw data 7885, compressed 3821, factor 0.48

Goruldugu gibi sadece 162.5 saniyede gonderdik.
Sikistirma sadece txt gibi sikissabilen dosyalarda fayda saglayacaktir.

Bandwith kullanimini sinirlamak icin -l kullanilabilir.
-l den sonra Kilobits/sec (kbps) limiti verilmeli.
400 Kilobits/sec (kbps) = 50 kilabyte per second

scp -l 400 Label.pdf mrarianto@202.x.x.x:.

mrarianto@202.x.x.x's password:
Label.pdf 100% 3672KB 50.3KB/s 01:13

Portu degistirmek icin -P

scp -P 2249 Label.pdf mrarianto@202.x.x.x:

How to measure memory usage in Linux by Riccardo Capecchi

Ekim 7, 2013 § Yorum yok § Kalıcı bağlantı

Bu yazi http://www.openlogic.com/wazi/bid/315941/how-to-measure-memory-usage-in-linux sitesinden alinmistir.

Whether you are a system administrator or a developer, sometimes you need to consider the use of memory in GNU/Linux processes and programs. Memory is a critical resource, and limited memory plus processes that use a lot of RAM can cause a situation where the kernel goes out of memory (OOM). In this state Linux activates an OOM killer kernel process that attempts to recover the system by terminating one or more low-priority processes. Which processes the system kills is unpredictable, so though the OOM killer may keep the server from going down, it can cause problems in the delivery of services that should stay running.

In this article we’ll look at three utilities that report information about the memory used on a GNU/Linux system. Each has strengths and weaknesses, with accuracy being their Achilles’ heel. I’ll use CentOS 6.4 as my demo system, but these programs are available on any Linux distribution.

ps

ps displays information about active processes, with a number of custom fields that you can decide to show or not. For the purposes of this article I’ll focus on how to display information about memory usage. ps shows the percentage of memory that is used by each process or task running on the system, so you can easily identify memory-hogging processes.

Running

ps aux

shows every process on the system. Typical output looks something like this:

USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND
root 1 0.0 0.0 19228 1488 ? Ss 18:59 0:01 /sbin/init
root 2 0.0 0.0 0 0 ? S 18:59 0:00 [kthreadd]
root 3 0.0 0.0 0 0 ? S 18:59 0:00 [migration/0]
...
...
root 742 0.0 0.0 0 0 ? S 19:00 0:00 [ext4-dio-unwrit]
root 776 0.0 0.0 0 0 ? S 19:00 0:00 [kauditd]
root 785 0.0 0.0 0 0 ? S 19:00 0:00 [flush-253:0]
root 939 0.0 0.0 27636 808 ? S&lt;sl 19:00 0:00 auditd
root 955 0.0 0.0 255416 1624 ? Sl 19:00 0:00 /sbin/rsyslogd -i /var/run/syslogd.pid -c 5
root 1080 0.0 0.1 78720 3272 ? Ss 19:00 0:00 /usr/libexec/postfix/master
postfix 1088 0.0 0.1 78800 3236 ? S 19:00 0:00 pickup -l -t fifo -u
postfix 1089 0.0 0.1 78972 3284 ? S 19:00 0:00 qmgr -l -t fifo -u
root 1090 0.0 0.0 117244 1420 ? Ss 19:00 0:01 crond
root 1103 0.0 0.0 56760 1680 ? Ss 19:00 0:00 login -- root
root 1105 0.0 0.0 4060 572 tty2 Ss+ 19:00 0:00 /sbin/mingetty /dev/tty2
root 1107 0.0 0.0 4060 576 tty3 Ss+ 19:00 0:00 /sbin/mingetty /dev/tty3
root 1109 0.0 0.0 4060 572 tty4 Ss+ 19:00 0:00 /sbin/mingetty /dev/tty4
root 1111 0.0 0.0 4060 572 tty5 Ss+ 19:00 0:00 /sbin/mingetty /dev/tty5
root 1116 0.0 0.0 4060 568 tty6 Ss+ 19:00 0:00 /sbin/mingetty /dev/tty6
root 1129 0.0 0.0 19400 952 ? Ss 19:01 0:00 /usr/sbin/anacron -s
root 1135 0.0 0.1 108296 1932 tty1 Ss+ 19:14 0:00 -bash
root 1205 0.0 0.0 9116 688 ? Ss 19:15 0:00 dhclient eth0
root 1234 0.0 0.2 97864 3912 ? Ss 19:16 0:00 sshd: root@pts/0
root 1238 0.0 0.0 108300 1904 pts/0 Ss 19:18 0:00 -bash
root 1283 0.0 0.0 64116 1152 ? Ss 19:20 0:00 /usr/sbin/sshd
root 18990 7.0 0.0 110224 1160 pts/0 R+ 19:32 0:00 ps aux

If you are searching for memory hogs, you probably want to sort the output. The --sort argument takes key values that indicate how you want to order the output. For instance, ps aux --sort -rss sorts by resident set size, which represents the non-swapped physical memory that each taskuses. However, RSS can be misleading and may show a higher value than the real one if pages are shared, for example by several threads or by dynamically linked libraries.

You can also use -vsz – virtual set size – but it does not reflect the actual amount of memory used by applications, but rather the amount of memory reserved for them, which includes the RSS value. You usually won’t want to use it when searching for processes that eat memory.

ps -aux alone isn’t enough to tell you if a process is thrashing, but if your system is thrashing, it will help you identify the processes that are experiencing the biggest hits.

top

The top command displays a dynamic real-time view of system information and the running tasks managed by the Linux kernel. The memory usage stats include real-time live total, used, and free physical memory and swap memory, with buffers and cached memory size respectively. Type top at the command line to see a constantly updated stats page:

top – 19:56:33 up 56 min, 2 users, load average: 0.00, 0.00, 0.00
Tasks: 67 total, 1 running, 66 sleeping, 0 stopped, 0 zombie
Cpu(s): 4.4%us, 1.7%sy, 0.2%ni, 88.7%id, 5.0%wa, 0.0%hi, 0.0%si, 0.0%st
Mem: 1922680k total, 851808k used, 1070872k free, 19668k buffers
Swap: 4128760k total, 0k used, 4128760k free, 692716k cached

PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
1 root 20 0 19228 1488 1212 S 0.0 0.1 0:01.29 init
2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd
3 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/0
4 root 20 0 0 0 0 S 0.0 0.0 0:00.17 ksoftirqd/0
5 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/0
6 root RT 0 0 0 0 S 0.0 0.0 0:00.01 watchdog/0
7 root 20 0 0 0 0 S 0.0 0.0 0:01.27 events/0
8 root 20 0 0 0 0 S 0.0 0.0 0:00.00 cgroup
9 root 20 0 0 0 0 S 0.0 0.0 0:00.00 khelper
10 root 20 0 0 0 0 S 0.0 0.0 0:00.00 netns
11 root 20 0 0 0 0 S 0.0 0.0 0:00.00 async/mgr
12 root 20 0 0 0 0 S 0.0 0.0 0:00.00 pm
....

In top memory is mapped as VIRT, RES, and SHR:

  • VIRT is the virtual size of a process, which is the sum of the memory it is actually using, memory it has mapped into itself (for instance a video cards’s RAM for the X server), files on disk that have been mapped into it (most notably shared libraries), and memory shared with other processes. VIRT represents how much memory the process is able to access at the present moment.
  • RES is the resident size, which is an accurate representation of how much actual physical memory a process is consuming. (This number corresponds directly to top‘s %MEM column.) This amount will virtually always be less than the VIRT size, since most programs depend on the C library.
  • SHR indicates how much of the VIRT size is actually sharable, so it includes memory and libraries that could be shared with other processes. In the case of libraries, it does not necessarily mean that the entire library is resident. For example, if a program only uses a few functions in a library, the whole library is mapped and counted in VIRT and SHR, but only the parts of the library file that contain the functions being used are actually loaded in and counted under RES.

Some of these numbers can be a little misleading. For instance, if you have a website that use PHP, and in particular php-fpm, you could see something like:

top – 14:15:34 up 2 days, 12:38, 1 user, load average: 0.97, 1.03, 0.93
Tasks: 124 total, 1 running, 123 sleeping, 0 stopped, 0 zombie
Cpu(s): 4.9%us, 0.3%sy, 0.0%ni, 94.6%id, 0.0%wa, 0.0%hi, 0.1%si, 0.1%st
Mem: 1029508k total, 992140k used, 37368k free, 150404k buffers
Swap: 262136k total, 2428k used, 259708k free, 551500k cached

PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
6695 www-data 20 0 548m 307m 292m S 0 30.6 8:06.55 php-fpm
6697 www-data 20 0 547m 306m 292m S 0 30.4 7:59.64 php-fpm
6691 www-data 20 0 547m 305m 291m S 2 30.4 8:04.96 php-fpm
6689 www-data 20 0 547m 305m 291m S 2 30.3 8:07.55 php-fpm
6696 www-data 20 0 540m 298m 292m S 1 29.7 8:13.43 php-fpm
6705 www-data 20 0 540m 298m 292m S 0 29.7 8:17.24 php-fpm
6699 www-data 20 0 540m 298m 291m S 4 29.7 8:07.39 php-fpm
6701 www-data 20 0 541m 297m 289m S 0 29.6 7:59.87 php-fpm
6700 www-data 20 0 540m 297m 290m S 0 29.5 8:09.92 php-fpm
6694 www-data 20 0 541m 296m 288m S 2 29.5 8:05.18 php-fpm
6707 www-data 20 0 541m 296m 288m S 0 29.5 8:09.40 php-fpm
6692 www-data 20 0 541m 296m 289m S 0 29.5 8:14.23 php-fpm
6706 www-data 20 0 541m 296m 289m S 3 29.5 8:07.59 php-fpm
6698 www-data 20 0 541m 295m 288m S 4 29.4 8:04.85 php-fpm
6704 www-data 20 0 539m 295m 289m S 2 29.4 8:13.58 php-fpm
6708 www-data 20 0 540m 295m 288m S 1 29.4 8:14.27 php-fpm
6802 www-data 20 0 540m 295m 288m S 3 29.3 8:11.63 php-fpm
6690 www-data 20 0 541m 294m 287m S 3 29.3 8:14.54 php-fpm
6693 www-data 20 0 539m 293m 287m S 2 29.2 8:16.33 php-fpm
6702 www-data 20 0 540m 293m 286m S 0 29.2 8:12.41 php-fpm
8641 www-data 20 0 540m 292m 285m S 4 29.1 6:45.87 php-fpm
8640 www-data 20 0 539m 291m 285m S 2 29.0 6:47.01 php-fpm
6703 www-data 20 0 539m 291m 285m S 2 29.0 8:17.77 php-fpm

Is it possible that all these processes use around 30 percent of the total memory of the system? Yes it is, because they use a lot of shared memory – and this is why you cannot simply add the %MEM number for all of the processes to see how much of the total memory they use.

smem

While you’ll find ps and top in any distribution, you probably won’t find smem until you install it yourself. This command reports physical memory usage, taking shared memory pages into account. In its output, unshared memory is reported as the unique set size (USS). Shared memory is divided evenly among the processes that share that memory. The USS plus a process’s proportion of shared memory is reported as the proportional set size (PSS).

USS and PSS include only physical memory usage. They do not include memory that has been swapped out to disk.

To install smem under Debian/Ubuntu Linux, type the following command:

$ sudo apt-get install smem

There is no smem package in the standard repository for CentOS or other Red Hat-based Linux distributions, but you can get it with the following commands:

# cd /tmp
# wget http://www.selenic.com/smem/download/smem-1.3.tar.gz
# tar xvf smem-1.3.tar.gz
# cp /tmp/smem-1.3/smem /usr/local/bin/
# chmod +x /usr/local/bin/smem

Once it’s installed, type smem on the command line to get output like this:

PID User Command Swap USS PSS RSS
1116 root /sbin/mingetty /dev/tty6 0 76 110 568
1105 root /sbin/mingetty /dev/tty2 0 80 114 572
1109 root /sbin/mingetty /dev/tty4 0 80 114 572
1111 root /sbin/mingetty /dev/tty5 0 80 114 572
1107 root /sbin/mingetty /dev/tty3 0 84 118 576
939 root auditd 0 336 388 808
1205 root dhclient eth0 0 564 571 688
1103 root login -- root 0 532 749 1680
1090 root crond 0 704 784 1420
1 root /sbin/init 0 736 813 1488
1238 root -bash 0 380 856 1924
1283 root /usr/sbin/sshd 0 676 867 1152
1135 root -bash 0 392 868 1932
426 root /sbin/udevd -d 0 948 973 1268
955 root /sbin/rsyslogd -i /var/run/ 0 996 1069 1628
1080 root /usr/libexec/postfix/master 0 984 1602 3272
1089 postfix qmgr -l -t fifo -u 0 1032 1642 3284
1234 root sshd: root@pts/0 0 1772 2328 3912
19319 postfix pickup -l -t fifo -u 0 2376 2738 3276
19352 root python ./smem 0 5756 6039 6416

As you can see, for each process smem shows four interesting fields:

  • Swap – The swap space used by that process.
  • USS – The amount of unshared memory unique to that process – think of it as unique memory. It does not include shared memory, so it underreports the amount of memory a process uses, but this column is helpful when you want to ignore shared memory. This column indicates how much RAM would be immediately freed up if this process exited.
  • PSS – This is the most valuable column. It adds together the unique memory (USS) and a proportion of shared memory derived by dividing total shared memory by the number of other processes sharing that memory. Thus it will give you an accurate representation of how much actual physical memory is being used per process, with shared memory truly represented as shared. Think of it as physical memory.
  • RSS – Resident Set Size, which is the amount of shared memory plus unshared memory used by each process. If any processes share memory, this will overreport the amount of memory actually used, because the same shared memory will be counted more than once, appearing again in each other process that shares the same memory. Thus it is an unreliable number, especially when high-memory processes have a lot of forks.

Now what?

Each of these memory utilities has some pros and cons. ps and top can be useful, but you have to understand what the numbers they show mean. smem is the rookie here, but it shows the most interesting information about your programs, and you can use it with the parameter -u to show the total memory used by all your users – an interesting feature on multiuser systems.

Now that you have the tools to discover what’s eating up your memory, what you should do about it?

If you are a developer and you have found that your program is at fault, that’s good news! You can work on the code and use a debugger to find out which function, call, or procedure is using all that memory.

If the process or program that eats up most of your memory is a daemon, such as Apache, MySQL, or nginx, you can search online for information that explains how to tweak the parameters of that daemon to save RAM.

When your uber-optimized Java web app becomes so popular that your server can’t serve all your users, sometimes the only thing to do is add more RAM. This should be your last alternative, after you have checked all the other steps. If this happens, don’t be sad – it means that your application is a big success!

Helpful resources

Understanding memory usage on Linux OOM Killer Linux memory management Thread about Linux memory

sudo İle Redirection

Eylül 4, 2013 § Yorum yok § Kalıcı bağlantı

Aşağıdaki komutu deneyelim:

echo 12000 > /proc/sys/vm/dirty_writeback_centisecs

çalışmadı! Şimdi Sudo ile deneyelim

sudo echo 12000 > /proc/sys/vm/dirty_writeback_centisecs

Bu da çalışmadı. Neden?
Çünkü redirection yapan shell sudo izniyle değil kullanıcı olarak başlatıldı.
İşte çözüm:

echo "echo 12000 > /proc/sys/vm/dirty_writeback_centisecs" | sudo sh 

Linux’de Mac Adresi Değiştirme

Ağustos 16, 2013 § Yorum yok § Kalıcı bağlantı

Mac adresi değiştirmek için

ip link set dev eth0 address 00:0F:FE:D8:64:AD

Adobe f4m Manifesto Dosyası İle Video Download Etmek

Ağustos 15, 2013 § Yorum yok § Kalıcı bağlantı

Öncelikle gerekli dosyaları kuralım

yum install php
yum install php-bcmath

Bu iş için kullanacağımız script adobehds.php (https://github.com/K-S-V/Scripts/wiki) (sayfanın pdf hali).
AdobeHDS.php dosyasi
AdobeHDS.php

Benim kullandigim cek.sh scripti ve f4m manifesto yollarını içeren liste_asil.txt dosyasi

[fatih@fatihoz]$ cat cek.sh 
while read line           
do           
    /usr/bin/php AdobeHDS.php --manifest "$line" --outdir /home/fatih/Downloads/out_dir/ --delete
done   

[fatih@fatihoz]$ cat liste_asil.txt 
http://www.xambc.net/1.mp4.f4m
http://www.xambc.net/2.mp4.f4m
http://www.xambc.net/3.mp4.f4m

Kullanim şeklim ise (bu yol her bash scriptine input dosyasını satır satır okutmak için kullanılabilir.)

[fatih@fatihoz]$bash cek3.sh < liste_asil3.txt

Dış IP’yi öğrenmek

Temmuz 30, 2013 § Yorum yok § Kalıcı bağlantı

$ curl ifconfig.me
$ curl icanhazip.com
$ curl ident.me
$ curl ipecho.net/plain
$ curl whatismyip.akamai.com
$ curl tnx.nl/ip
$ curl myip.dnsomatic.com
$ curl ip.appspot.com
$ curl -s checkip.dyndns.org | sed 's/.*IP Address: \([0-9\.]*\).*/\1/g' 

History’i Silmek

Temmuz 30, 2013 § Yorum yok § Kalıcı bağlantı

Current Session historisini silmek

unset HISTFILE && exit

veya

kill -9 $$

Bütün History’i silmek

history -c && exit
HISTSIZE=0 && exit
rm -f $HISTFILE && unset HISTFILE && exit

İsminin Başında “-” Olan Dosyalarla Çalışmak

Temmuz 30, 2013 § Yorum yok § Kalıcı bağlantı

Aşağıdaki komut çalışmayacaktır. Zira -file dosyası bash tarafından lessin parametresi olarak algılanır.

less -file

Bunu aşmak için

less ./-file

touch ./-test

echo "test content to file" > ./-test

cat ./-test

rm ./-test

Neredeyim ben!?

Linux Notları kategorisinde geziniyorsun.