I am stuck on that. So I have this while-read loop within my code that is taking so long and I would like to run it in many processors. But, I'd like to split the input file and run 14 loops (because I have 14 threads), one for each splited file, in parallel. Thing is that I don't know how to tell the while loop which file to get and work with.
For example, in a regular while-read loop I would code:
while read line
do
<some code>
done < input file or variable...
But in this case I would like to split the above input file in 14 files and run 14 while loops in parallel, one for each splited file.
I tried :
split -n 14 input_file
find . -name "xa*" | \
parallel -j 14 | \
while read line
do
<lot of stuff>
done
also tried
split -n 14 input_file
function loop {
while read line
do
<lot of stuff>
done
}
export -f loop
parallel -j 14 ::: loop
But neither I was able to tell which file would be the input to the loop so parallel would understand "take each of those xa* files and place into individual loops in parallel"
An example of the input file (a list of strings)
AEYS01000010.10484.12283
CVJT01000011.50.2173
KF625180.1.1799
KT949922.1.1791
LOBZ01000025.54942.57580
EDIT
This is the code.
The output is a table (741100 lines) with some statistics regarding DNA sequences alignments already made.
The loop takes an input_file (no broken lines, varies from 500 to ~45000 lines, 800Kb) with DNA sequence acessions, reads it line-by-line and look for each correspondent full taxonomy for those acessions in a databank (~45000 lines). Then, it does a few sums/divisions. Output is a .tsv and looks like this (an example for sequence "KF625180.1.1799"):
Rate of taxonomies for this sequence in %: KF625180.1.1799 D_6__Bacillus_atrophaeus
Taxonomy %aligned number_ocurrences_in_the_alignment num_ocurrences_in_databank %alingment/databank
D_6__Bacillus_atrophaeus 50% 1 20 5%
D_6__Bacillus_amyloliquefaciens 50% 1 154 0.649351%
$ head input file
AEYS01000010.10484.12283
CVJT01000011.50.217
KF625180.1.1799
KT949922.1.1791
LOBZ01000025.54942.57580
Two additional files are also used inside the loop. They are not the loop input.
1) a file called alnout_file that only serves for finding how many hits (or alignments) a given sequence had against the databank. It was also previously made outside this loop. It can vary in the number of lines from hundreads to thousands. Only columns 1 and 2 matters here. Column1 is the name of the sequence and col2 is the name of all sequences it matched in the databnk. It looks like that:
$ head alnout_file
KF625180.1.1799 KF625180.1.1799 100.0 431 0 0 1 431 1 431 -1 0
KF625180.1.1799 KP143082.1.1457 99.3 431 1 2 1 431 1 429 -1 0
KP143082.1.1457 KF625180.1.1799 99.3 431 1 2 1 429 1 431 -1 0
2) a databank .tsv file containing ~45000 taxonomies correspondent to the DNA sequences. Each taxonomy is in one line:
$ head taxonomy.file.tsv
KP143082.1.1457 D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3__Bacillales;D_4__Bacillaceae;D_5__Bacillus;D_6__Bacillus_amyloliquefaciens
KF625180.1.1799 D_0__Bacteria;D_1__Firmicutes;D_2__Bacilli;D_3__Bacillales;D_4__Bacillaceae;D_5__Bacillus;D_6__Bacillus_atrophaeus
So, given sequence KF625180.1.1799. I previously aligned it against a databank containing ~45000 other DNA sequences and got an output whis has all the accessions to sequences that it matched. What the loop does is that it finds the taxonomies for all those sequences and calculates the "statistics" I mentionded previously. Code does it for all the DNA-sequences-accesions I have.
TAXONOMY=path/taxonomy.file.tsv
while read line
do
#find hits
hits=$(grep $line alnout_file | cut -f 2)
completename=$(grep $line $TAXONOMY | sed 's/D_0.*D_4/D_4/g')
printf "\nRate of taxonomies for this sequence in %%:\t$completename\n"
printf "Taxonomy\t%aligned\tnumber_ocurrences_in_the_alignment\tnum_ocurrences_in_databank\t%alingment/databank\n"
#find hits and calculate the frequence (%) of the taxonomy in the alignment output
# ex.: Bacillus_subtilis 33
freqHits=$(grep "${hits[#]}" $TAXONOMY | \
cut -f 2 | \
awk '{a[$0]++} END {for (i in a) {print i, "\t", a[i]/NR*100, "\t", a[i]}}' | \
sed -e 's/D_0.*D_5/D_5/g' -e 's#\s\t\s#\t#g' | \
sort -k2 -hr)
# print frequence of each taxonomy in the databank
freqBank=$(while read line; do grep -c "$line" $TAXONOMY; done < <(echo "$freqHits" | cut -f 1))
#print cols with taxonomy and calculations
paste <(printf %s "$freqHits") <(printf %s "$freqBank") | awk '{print $1,"\t",$2"%","\t",$3,"\t",$4,"\t",$3/$4*100"%"}'
done < input_file
It is a lot of greps and parsing so it takes about ~12h running in one processor for doing it to all the 45000 DNA sequence accessions. The, I would like to split input_file and do it in all the processors I have (14) because it would the time spend in that.
Thank you all for being so patient with me =)
You are looking for --pipe. In this case you can even use the optimized --pipepart (version >20160621):
export TAXONOMY=path/taxonomy.file.tsv
doit() {
while read line
do
#find hits
hits=$(grep $line alnout_file | cut -f 2)
completename=$(grep $line $TAXONOMY | sed 's/D_0.*D_4/D_4/g')
printf "\nRate of taxonomies for this sequence in %%:\t$completename\n"
printf "Taxonomy\t%aligned\tnumber_ocurrences_in_the_alignment\tnum_ocurrences_in_databank\t%alingment/databank\n"
#find hits and calculate the frequence (%) of the taxonomy in the alignment output
# ex.: Bacillus_subtilis 33
freqHits=$(grep "${hits[#]}" $TAXONOMY | \
cut -f 2 | \
awk '{a[$0]++} END {for (i in a) {print i, "\t", a[i]/NR*100, "\t", a[i]}}' | \
sed -e 's/D_0.*D_5/D_5/g' -e 's#\s\t\s#\t#g' | \
sort -k2 -hr)
# print frequence of each taxonomy in the databank
freqBank=$(while read line; do grep -c "$line" $TAXONOMY; done < <(echo "$freqHits" | cut -f 1))
#print cols with taxonomy and calculations
paste <(printf %s "$freqHits") <(printf %s "$freqBank") | awk '{print $1,"\t",$2"%","\t",$3,"\t",$4,"\t",$3/$4*100"%"}'
done
}
export -f doit
parallel -a input_file --pipepart doit
This will chop input_file into 10*ncpu blocks (where ncpu is the number of CPU threads), pass each block to doit, run ncpu jobs in parallel.
That said I think your real problem is spawning too many programs: If you rewrite doit in Perl or Python I will expect you will see a major speedup.
As an alternative I threw together a quick test.
#! /bin/env bash
mkfifo PIPELINE # create a single queue
cat "$1" > PIPELINE & # supply it with records
{ declare -i cnt=0 max=14
while (( ++cnt <= max )) # spawn loop creates worker jobs
do printf -v fn "%02d" $cnt
while read -r line # each work loop reads common stdin...
do echo "$fn:[$line]"
sleep 1
done >$fn.log 2>&1 & # these run in background in parallel
done # this one exits
} < PIPELINE # *all* read from the same queue
wait
cat [0-9][0-9].log
Doesn't need split, but does need a mkfifo.
Obviously, change the code inside the internal loop.
This answers what you asked, namely how to process in parallel the 14 files you get from running split. However, I don't think it is the best way of doing whatever it is that you are trying to do - but we would need some answers from you for that.
So, let's make a million line file and split it into 14 parts:
seq 1000000 > 1M
split -n 14 1M part-
That gives me 14 files called part-aa through part-an. Now your question is how to process those 14 parts in parallel - (read the last line first):
#!/bin/bash
# This function will be called for each of the 14 files
DoOne(){
# Pick up parameters
job=$1
file=$2
# Count lines in specified file
lines=$(wc -l < "$file")
echo "Job No: $job, file: $file, lines: $lines"
}
# Make the function above known to processes spawned by GNU Parallel
export -f DoOne
# Run 14 parallel instances of "DoOne" passing job number and filename to each
parallel -k -j 14 DoOne {#} {} ::: part-??
Sample Output
Job No: 1, file: part-aa, lines: 83861
Job No: 2, file: part-ab, lines: 72600
Job No: 3, file: part-ac, lines: 70295
Job No: 4, file: part-ad, lines: 70295
Job No: 5, file: part-ae, lines: 70294
Job No: 6, file: part-af, lines: 70295
Job No: 7, file: part-ag, lines: 70295
Job No: 8, file: part-ah, lines: 70294
Job No: 9, file: part-ai, lines: 70295
Job No: 10, file: part-aj, lines: 70295
Job No: 11, file: part-ak, lines: 70295
Job No: 12, file: part-al, lines: 70294
Job No: 13, file: part-am, lines: 70295
Job No: 14, file: part-an, lines: 70297
You would omit the -k argument to GNU Parallel normally - I only added it so the output comes in order.
I think that using a bunch of grep and awk commands is the wrong approach here - you would be miles better off using Perl, or awk. As you have not provided any sample files I generated some using this code:
#!/bin/bash
for a in {A..Z} {0..9} ; do
for b in {A..Z} {0..9} ; do
for c in {A..Z} {0..9} ; do
echo "${a}${b}${c}"
done
done
done > a
# Now make file "b" which has the same stuff but shuffled into a different order
gshuf < a > b
Note that there are 26 letters in the alphabet, so if I add the digits 0..9 to the letters of the alphabet, I get 36 alphanumeric digits and if I nest 3 loops of that I get 36^3 or 46,656 lines which matches your file sizes roughly. File a now looks like this:
AAA
AAB
AAC
AAD
AAE
AAF
File b looks like this:
UKM
L50
AOC
79U
K6S
6PO
12I
XEV
WJN
Now I want to loop through a finding the corresponding line in b. First, I use your approach:
time while read thing ; do grep $thing b > /dev/null ; done < a
That takes 9 mins 35 seconds.
If I now exit grep on the first match, on average I will find it in the middle, which means the time will be halved since I won't continue to needlessly read b after I find what I want.
time while read thing ; do grep -m1 $thing b > /dev/null ; done < a
That improves the time down to 4 mins 30 seconds.
If I now use awk to read the contents of b into an associative array (a.k.a. hash) and then read the elements of a and find them in b like this:
time awk 'FNR==NR{a[$1]=$1; next} {print a[$1]}' b a > /dev/null
That now runs in 0.07 seconds. Hopefully you get the idea of what I am driving at. I expect Perl would do this in the same time and also provide more expressive facilities for the maths in the middle of your loop too.
I hope this small script helps you out:
function process {
while read line; do
echo "$line"
done < $1
}
function loop {
file=$1
chunks=$2
dir=`mktemp -d`
cd $dir
split -n l/$chunks $file
for i in *; do
process "$i" &
done
rm -rf $dir
}
loop /tmp/foo 14
It runs the process loop on the specified file with the specified number of chunks (without splitting lines) in parallel (using & to put each invocation in the background). I hope it gets you started.
This can do the job for You, I am not familiar with parallel instead using native bash spawning processes &:
function loop () {
while IFS= read -r -d $'\n'
do
# YOUR BIG STUFF
done < "${1}"
}
arr_files=(./xa*)
for i in "${arr_files[#]}"
do loop "${i}" &
done
wait
I have a large directory of data files which I am in the process of manipulating to get them in a desired format. They each begin and end 15 lines too soon, meaning I need to strip the first 15 lines off one file and paste them to the end of the previous file in the sequence.
To begin, I have written the following code to separate the relevant data into easy chunks:
#!/bin/bash
destination='media/user/directory/'
for file1 in `ls $destination*.ascii`
do
echo $file1
file2="${file1}.end"
file3="${file1}.snip"
sed -e '16,$d' $file1 > $file2
sed -e '1,15d' $file1 > $file3
done
This worked perfectly, so the next step is the worlds simplest cat command:
cat $file3 $file2 > outfile
However, what I need to do is to stitch file2 to the previous file3. Look at this screenshot of the directory for better understanding.
See how these files are all sequential over time:
*_20090412T235945_20090413T235944_* ### April 13
*_20090413T235945_20090414T235944_* ### April 14
So I need to take the 15 lines snipped off the April 14 example above and paste it to the end of the April 13 example.
This doesn't have to be part of the original code, in fact it would be probably best if it weren't. I was just hoping someone would be able to help me get this going.
Thanks in advance! If there is anything I have been unclear about and needs further explanation please let me know.
"I need to strip the first 15 lines off one file and paste them to the end of the previous file in the sequence."
If I understand what you want correctly, it can be done with one line of code:
awk 'NR==1 || FNR==16{close(f); f=FILENAME ".new"} {print>f}' file1 file2 file3
When this has run, the files file1.new, file2.new, and file3.new will be in the new form with the lines transferred. Of course, you are not limited to three files: you may specify as many as you like on the command line.
Example
To keep our example short, let's just strip the first 2 lines instead of 15. Consider these test files:
$ cat file1
1
2
3
$ cat file2
4
5
6
7
8
$ cat file3
9
10
11
12
13
14
15
Here is the result of running our command:
$ awk 'NR==1 || FNR==3{close(f); f=FILENAME ".new"} {print>f}' file1 file2 file3
$ cat file1.new
1
2
3
4
5
$ cat file2.new
6
7
8
9
10
$ cat file3.new
11
12
13
14
15
As you can see, the first two lines of each file have been transferred to the preceding file.
How it works
awk implicitly reads each file line-by-line. The job of our code is to choose which new file a line should be written to based on its line number. The variable f will contain the name of the file that we are writing to.
NR==1 || FNR==16{f=FILENAME ".new"}
When we are reading the first line of the first file, NR==1, or when we are reading the 16th line of whatever file we are on, FNR==16, we update f to be the name of the current file with .new added to the end.
For the short example, which transferred 2 lines instead of 15, we used the same code but with FNR==16 replaced with FNR==3.
print>f
This prints the current line to file f.
(If this was a shell script, we would use >>. This is not a shell script. This is awk.)
Using a glob to specify the file names
destination='media/user/directory/'
awk 'NR==1 || FNR==16{close(f); f=FILENAME ".new"} {print>f}' "$destination"*.ascii
Your task is not that difficult at all. You want to gather a list of all _end files in the directory (using a for loop and globbing, NOT looping on the results of ls). Once you have all the end files, you simply parse the dates using parameter expansion w/substing removal say into d1 and d2 for date1 and date2 in:
stuff_20090413T235945_20090414T235944_end
| d1 | | d2 |
then you simply subtract 1 from d1 into say date0 or d0 and then construct a previous filename out of d0 and d1 using _snip instead of _end. Then just test for the existence of the previous _snip filename, and if it exists, paste your info from the current _end file to the previous _snip file. e.g.
#!/bin/bash
for i in *end; do ## find all _end files
d1="${i#*stuff_}" ## isolate first date in filename
d1="${d1%%T*}"
d2="${i%T*}" ## isolate second date
d2="${d2##*_}"
d0=$((d1 - 1)) ## subtract 1 from first, get snip d1
prev="${i/$d1/$d0}" ## create previous 'snip' filename
prev="${prev/$d2/$d1}"
prev="${prev%end}snip"
if [ -f "$prev" ] ## test that prev snip file exists
then
printf "paste to : %s\n" "$prev"
printf " from : %s\n\n" "$i"
fi
done
Test Input Files
$ ls -1
stuff_20090413T235945_20090414T235944_end
stuff_20090413T235945_20090414T235944_snip
stuff_20090414T235945_20090415T235944_end
stuff_20090414T235945_20090415T235944_snip
stuff_20090415T235945_20090416T235944_end
stuff_20090415T235945_20090416T235944_snip
stuff_20090416T235945_20090417T235944_end
stuff_20090416T235945_20090417T235944_snip
stuff_20090417T235945_20090418T235944_end
stuff_20090417T235945_20090418T235944_snip
stuff_20090418T235945_20090419T235944_end
stuff_20090418T235945_20090419T235944_snip
Example Use/Output
$ bash endsnip.sh
paste to : stuff_20090413T235945_20090414T235944_snip
from : stuff_20090414T235945_20090415T235944_end
paste to : stuff_20090414T235945_20090415T235944_snip
from : stuff_20090415T235945_20090416T235944_end
paste to : stuff_20090415T235945_20090416T235944_snip
from : stuff_20090416T235945_20090417T235944_end
paste to : stuff_20090416T235945_20090417T235944_snip
from : stuff_20090417T235945_20090418T235944_end
paste to : stuff_20090417T235945_20090418T235944_snip
from : stuff_20090418T235945_20090419T235944_end
(of course replace stuff_ with your actual prefix)
Let me know if you have questions.
You could store the previous $file3 value in a variable (and do a check if it is not the first run with -z check):
#!/bin/bash
destination='media/user/directory/'
prev=""
for file1 in $destination*.ascii
do
echo $file1
file2="${file1}.end"
file3="${file1}.snip"
sed -e '16,$d' $file1 > $file2
sed -e '1,15d' $file1 > $file3
if [ -z "$prev" ]; then
cat $prev $file2 > outfile
fi
prev=$file3
done
I have a file and contents are like :
|T1234
010000000000
02123456878
05122345600000000000000
07445678920000000000000
09000000000123000000000
10000000000000000000000
.T1234
|T798
013457829
0298365799
05600002222222222222222
09348977722220000000000
10000057000004578933333
.T798
Here one complete batch means it will start from |T and end with .T.
In the file i have 2 batches.
I want to edit this file to delete a batch for record 10(position1-2),if from position 3 till position 20 is 0 then delete the batch.
Please let me know how i can achieve this by writing a shell script or syncsort or sed or awk .
I am still a little unclear about exactly what you want, but I think I have it enough to give you an outline on a bash solution. The part I was unclear on is exactly which line contained the first two characters of 10 and remaining 0's, but it looks like that is the last line in each batch. Not knowing exactly how you wanted the batch (with the matching 10) handled, I have simply written the remaining wanted batch(es) out to a file called newbatch.txt in the current working directory.
The basic outline of the script is to read each batch into a temporary array. If during the read, the 10 and 0's match is found, it sets a flag to delete the batch. After the last line is read, it checks the flag, if set simply outputs the batch number to delete. If the flag is not set, then it writes the batch to ./newbatch.txt.
Let me know if your requirements are different, but this should be fairly close to a solution. The code is fairly well commented. If you have questions, just drop a comment.
#!/bin/bash
ifn=${1:-dat/batch.txt} # input filename
ofn=./newbatch.txt # output filename
:>"$ofn" # truncate output filename
declare -i bln=0 # batch line number
declare -i delb=0 # delete batch flag
declare -a ba # temporary batch array
[ -r "$ifn" ] || { # test input file readable
printf "error: file not readable. usage: %s filename\n" "${0//*\//}"
exit 1
}
## read each line in input file
while read -r line || test -n "$line"; do
printf " %d %s\n" $bln "$line"
ba+=( "$line" ) # add line to array
## if chars 1-2 == 10 and chars 3 on == 00...
if [ ${line:0:2} == 10 -a ${line:3} == 00000000000000000000 ]; then
delb=1 # set delete flag
fi
((bln++)) # increment line number
## if the line starts with '.'
if [ ${line:0:1} == '.' ]; then
## if the delete batch flag is set
if [ $delb -eq 1 ]; then
## do nothing (but show batch no. to delete)
printf " => deleting batch : %s\n" "${ba[0]}"
## if delb not set, then write the batch to output file
else
printf "%s\n" ${ba[#]} >> "$ofn"
fi
## reset line no., flags, and uset array.
bln=0
delb=0
unset ba
fi
done <"$ifn"
exit 0
Output (to stdout)
$ bash batchdel.sh
0 |T1234
1 010000000000
2 02123456878
3 05122345600000000000000
4 07445678920000000000000
5 09000000000123000000000
6 10000000000000000000000
7 .T1234
=> deleting batch : |T1234
0 |T798
1 013457829
2 0298365799
3 05600002222222222222222
4 09348977722220000000000
5 10000057000004578933333
6 .T798
Output (to newbatch.txt)
$ cat newbatch.txt
|T798
013457829
0298365799
05600002222222222222222
09348977722220000000000
10000057000004578933333
.T798
I'm trying to calculate confidence interval from several files: ones contains lines with means, and others contains lines with values (one per line). I'm trying to read one line from the file that contains the means, and all the lines from another file (because I have to do some computations). Here is what I've done (of course it's not working):
parameters="some value to move from a file to another one"
while read avg; do
for row in mypath/*_${parameters}*.dat; do
for value in $( awk '{ print $2; }' ${row}); do
read all the lines in first_file.dat (I need only the second column)
read the first line in avg.dat
combine data and calculate the confidence interval
done
done
done < avg.dat
** file avg.dat (not necessarily 100 lines) **
.99
2.34
5.41
...
...
2.88
** firstfile.dat in mypath (100 lines) **
0 13.77
1 2
2 63.123
3 21.109
...
...
99 1.05
** secondfile.dat in mypath (100 lines) **
0 8.56
1 91.663
2 19
3 0
...
...
99 4.34
The first line of avg.dat refers to the firstfile.dat in mypath, the second line of avg.dat refers to the secondfile.dat in mypath, etc... So, in the example above, I have to do some computation using .99 (from avg.dat) with all the numbers in the second column of firstfile.dat. Same with 2.34 and secondfile.dat.
I can't reach my objective because I can't find a way to switch to the next line in the avg.dat when I've finished to read a file in mypath. Instead I read the first line in avg.dat and all the files in mypath, then the second line in avg.dat and, again, all the files in mypath, etc... Can you help me to find a solution? Thank you all!
In bash I would do this:
exec 3<avg.dat
shopt -s extglob
for file in !(avg).dat; do
read -u 3 avg
while read value; do
# do stuff with $value and $avg
done < <(cut -f 2 -d " " "$file")
done
exec 3<&- # close the file descriptor
I have this code
#!/bin/bash
for i in {1..10}
do
wget www.abc.com?id=$i >> sample.txt
job_id_var=$(grep -E "jobId" sample.txt) # return 5 in first iteration, 10 in second
run_id=$(grep -E "runid" sample.txt) # return 1001 in first iteration, 1002 in second
done
and i want to create a file in the below format
Output:
job_id run_id
5 1001
10 1002
This should help you -
#!/bin/bash
echo job_id run_id
for i in {1..10}
do
wget www.abc.com?id=$i > sample.txt
job_id_var=$(grep -E "jobId" sample.txt) # return 5 in first iteration, 10 in second
run_id=$(grep -E "runid" sample.txt) # return 1001 in first iteration, 1002 in second
echo "$job_id_var" "$run_id" >> outputfile
done
Explanation:
Using echo $YOUR_VAR >> filename, you can append out the variables to files as you want them. I haven't formated this well, may be you could do that.
I also saw you used >> to append the sample.txt - I suggest you overwrite using >, if it can solve your problem.