Reputation: 601
I have a file with more than 40.000 lines (file1) and I want to extract the lines matching patterns in file2 (about 6000 lines). I use grep like this, but it is very slow:
grep -f file2 file1 > out
Is there a faster way to do this using awk
or sed
?
Here's some extracts from my files:
File1
:
scitn003869.2| scign003869 CGCATGTGTGCATGTATTATCGTATCCCTTG
scitn007747.1| scign007747 CACGCAGACGCAGTGGAGCATTCCAGGTCACAA
scitn003155.1| scign003155 TAAAAATCGTTAGCACTCGCTTGGTACACTAAC
scitn018252.1| scign018252 CGTGTGTGTGCATATGTGTGCATGCGTG
scitn004671.2| scign004671 TCCTCAGGTTTTGAAAGGCAGGGTAAGTGCT
File2
:
scign000003
scign000004
scign000005
scign004671
scign000013
Upvotes: 18
Views: 39171
Reputation: 560
Just for the sake of learning: I was solving the same problem and I came up with various solutions (including read $line
loops etc..). When I got to the grep
one-liner found above, I still ended up getting the wrong output. Then I realized my PATTERN file had 2 trailing lines... So grep
picked up all my lines from my database. Morality: check you trailing spaces/lines. Also, ran the command on a much larger dataset with several hundreds patterns and time
couldn't even count.
Upvotes: 3
Reputation: 203899
Here's how to do it in awk:
awk 'NR==FNR{pats[$0]; next} $2 in pats' File2 File1
Using a 60,000 line File1 (your File1 repeated 8000 times) and a 6,000 File2 (yours repeated 1200 times):
$ time grep -Fwf File2 File1 > ou2
real 0m0.094s
user 0m0.031s
sys 0m0.062s
$ time awk 'NR==FNR{pats[$0]; next} $2 in pats' File2 File1 > ou1
real 0m0.094s
user 0m0.015s
sys 0m0.077s
$ diff ou1 ou2
i.e. it's about as fast as the grep. One thing to note though is that the awk solution lets you pick a specific field to match on so if anything from File2 shows up anywhere else in File1 you won't get a false match. It also lets you match on a whole field at a time so if your target strings were various lengths and you didn't want "scign000003" to match "scign0000031" for example (though the -w for grep gives similar protection for that).
For completeness, here's the timing for the other awk solution posted elsethread:
$ time awk 'BEGIN{i=0}FNR==NR{a[i++]=$1;next}{for(j=0;j<i;j++)if(index($0,a[j]))print $0}' File2 File1 > ou3
real 3m34.110s
user 3m30.850s
sys 0m1.263s
and here's the timing I get for the perl script Mark posted:
$ time ./go.pl > out2
real 0m0.203s
user 0m0.124s
sys 0m0.062s
Upvotes: 15
Reputation: 207650
Just for fun, here's a Perl version:
#!/usr/bin/perl
use strict;
use warnings;
my %patterns;
my $srch;
# Open file and get patterns to search for
open(my $fh2,"<","file2")|| die "ERROR: Could not open file2";
while (<$fh2>)
{
chop;
$patterns{$_}=1;
}
# Now read data file
open(my $fh1,"<","file1")|| die "ERROR: Could not open file1";
while (<$fh1>)
{
(undef,$srch,undef)=split;
print $_ if defined $patterns{$srch};
}
Here are some timings, using a 60,000 line file1 and 6,000 line file2 per Ed's file creation method:
time awk 'NR==FNR{pats[$0]; next} $2 in pats' file2 file1 > out
real 0m0.202s
user 0m0.197s
sys 0m0.005s
time ./go.pl > out2
real 0m0.083s
user 0m0.079s
sys 0m0.004s
Upvotes: 5
Reputation: 207650
You could try with this awk:
awk 'BEGIN{i=0}
FNR==NR { a[i++]=$1; next }
{ for(j=0;j<i;j++)
if(index($0,a[j]))
{print $0;break}
}' file2 file1
The FNR==NR
part specifies that the stuff following it in curly braces is only to be applied when processing the first input file (file2
). And it says to save all the words you are looking for in an array a[]
. The bit in the second set of curly braces applies to the processing of the second file... as each line is read in, it is compared with all elements of a[]
and if any are found, the line is printed. That's all folks!
Upvotes: 6
Reputation: 247002
Try grep -Fwf file2 file1 > out
The -F
option specifies plain string matching, so should be faster without having to engage the regex engine.
Upvotes: 31