Size: 940
Comment: -n option
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Size: 1208
Comment: Clarify -m, mention preference for -X. parallel w/ file of arguments.
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parallel -m mp3check -Sqe ::: *mp3 | parallel -X mp3check -Sqe ::: *mp3 |
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# Using a file (one per line) of arguments parallel 'some-command {}' ::: list-of-arguments.txt |
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* `-X`: Multiple arguments per job, distributed evenly * `--xargs`: Emulates xargs behavior; as many arguments per job as possible * `-n`: Limits number of arguments per job, use w/ `-X` and `--xargs` |
* `-X`: Multiple arguments per job, spread evenly across jobs, with context replace to replace "{}". * `-m`: Multiple arguments per job, spread evenly across jobs. Preferably use `-X`. * `--xargs`: Multiple arguments per job emulating xargs behavior; as many arguments per job as possible * `-n`: Limits number of arguments per job, use w/ `-X`, `--xargs`, or `-m` |
1 # Parallel copy
2 # Because we are copying the current directory, make sure $dst is correct
3 find . -maxdepth 1 -mindepth 1 -print0 | parallel -q0 -j4 echo cp -avn {} $dst
4
5 # Check MP3s in parallel, many arguments per invocation
6 parallel -X mp3check -Sqe ::: *mp3
7
8 # Run commands in a file parallel
9 parallel < commands.txt
10
11 # Using a file (one per line) of arguments
12 parallel 'some-command {}' ::: list-of-arguments.txt
13
14 # Parallel equivalent of
15 # `find $DIRECTORY -type f -exec sha1sum '{}' \; > $DIRECTORY.sha1`
16 find $DIRECTORY -type f -print0 | parallel -q0 -k sha1sum > $DIRECTORY.sha1
17
18 # Quickly get hash of large file. Reads in 1G chunks, multiple CPUs, and outputs 1 hash.
19 parallel --block=1G --pipepart -a $LARGE_FILE --progress --recend '' -k sha1sum | sha1sum
-X: Multiple arguments per job, spread evenly across jobs, with context replace to replace "{}".
-m: Multiple arguments per job, spread evenly across jobs. Preferably use -X.
--xargs: Multiple arguments per job emulating xargs behavior; as many arguments per job as possible
-n: Limits number of arguments per job, use w/ -X, --xargs, or -m