Perl File::Copy isn't working - perl

I am trying to copy a file to a new filename using File::Copy but getting an error saying the file doesn't exist.
print "\nCopying $hash->{Filename1} to $hash->{Filename2}.\n"
copy( $hash->{Filename1}, $hash->{Filename2} ) or die "Unable to copy model. Copy failed: $!";
I have checked that both references are populated (by printing them) and that $hash->{Filename1} does actually exist - and it does.
my error message is this
Unable to copy model. Copy failed: No such file or directory at B:\Script.pl line 467.
Anyone got any ideas of what I might have done wrong? I use this exact same line earlier in my script with no problems so I'm a bit confused.
Is there a file size limit on File::Copy?
Many thanks.

Filename1 may exist but what about Filename2?
Your error message states "No such file or directory at ..." so I'd be investigating the possibility that the directory you're trying to copy the file to is somehow deficient.
You may also want to check permissions if the destination directory and file do exist.
First step is to print out both file names before attempting the copy so that you can see what they are, and investigate the problem from that viewpoint. You should also post those file names in your question so that we can help further. It may well be that there's a dodgy character in one of the filenames, such as a newline you forgot to chomp off.
Re your question on file size limits, I don't believe the module itself imposes one. If you don't provide the buffer size, it uses a maximum of 2G for the chunks usedfor transferring data but there's nothing in the module that restricts the overall size.
It may be that the underlying OS restricts it but, unless your file is truly massive or you're very low on disk space, that's not going to come into play. However, since you appear to be working from the b: drive, that may be a possibility you want to check. I wasn't even aware people used floppy disks any more :-)

Check that there is no extra whitespace or other hard to spot problems with your filename variables with:
use Data::Dumper;
$Data::Dumper::Useqq = 1;
print Dumper( { filename1 => $hash->{Filename1}, filename2 => $hash->{Filename2} } );

Related

Perl Skipping Some Files When Looping Across Files and Writing Their Contents to Output File

I'm having an issue with Perl and I'm hoping someone here can help me figure out what's going on. I have about 130,000 .txt files in a directory called RawData and I have a Perl program that loads them into an array, then loops through this array, loading each .txt file. For simplicity, suppose I have four text files I'm looping through
File1.txt
File2.txt
File3.txt
File4.txt
The contents of each .txt file look something like this:
007 C03XXYY ZZZZ
008 A01XXYY ZZZZ
009 A02XXYY ZZZZ
where X,Y,Z are digits. In my simplified code below, the program then pulls out just line 007 in each .txt file, saves XX as ID, ignores YY and grabs the variable data ZZZZ that I've called VarVal. Then it writes everything to a file with a header specified in the code below:
#!/usr/bin/perl
use warnings;
use strict;
open(OUTFILE, "> ../Data/OutputFile.csv") or die $!;
opendir(MYDIR,"../RawData")||die $!;
my #txtfiles=grep {/\.txt$/} readdir(MYDIR);
closedir(MYDIR);
print OUTFILE "ID,VarName,VarVal\n";
foreach my $txtfile (#txtfiles){
#Prints to the screen so I can see where I am in the loop.
print $txtfile","\n";
open(INFILE, "< ../RawData/$txtfile") or die $!;
while(<INFILE>){
if(m{^007 C03(\d{2})(\d+)(\s+)(.+)}){
print OUTFILE "$1,VarName,$4\n"
}
}
}
The issue I'm having is that the contents of, for example File3.txt, don't show up in OutputFile.csv. However, it's not an issue with Perl not finding a match because I checked that the if statement is being executed by deleting OUTFILE and looking at what the code prints to the terminal screen. What shows up is exactly what should be there.
Furthermore, If I just run the problematic file (File3.txt) through the loop itself by commenting out the opendir and closedir stuff and doing something like my #textfile = "File3.txt";. Then when I run the code, the only data that shows up in the OutputFile.csv IS what's in File3.txt. But when it goes through the loop, it won't show up in OutputFile.csv. Plus, I know that File3.txt is being sent to into the loop because I can see it being printed on the screen with print $txtfile","\n";. I'm at a loss as to what is going on here.
The other issue is that I don't think it's something specific to this one particular file (maybe it is) but I can't just troubleshoot this one file because I have 130,000 files and I just happened to stumble across the fact that this one wasn't being written to the output file. So there may be other files that also aren't getting written, even though there is no obvious reason they shouldn't be just like the case of File3.txt.
Perhaps because I'm doing so many files in rapid succession, looping 130,000 files, causes some sort of I/O issues that randomly fails every so often to write the contents in memory to the output file? That's my best guess but I have not idea how to diagnose or fix this.
This is kind of a difficult question to debug, but I'm hoping someone on here has some insight or has seen similar problems that would provide me with a solution.
Thanks
There's nothing obviously wrong that I can see in your code. It is a little outdated as using autodie and lexical filehandles would be better.
However, I would recommend that you make your regex slightly less restrictive by making the spacing variable length after the first value and making the last variable optionally of 0 length. I'd also output the filename as well. Then you can see which other files aren't being caught for whatever reason:
if (m{^007\s+C03(\d{2})\d+\s+(.*)}){
print OUTFILE "$txtfile $1,VarName,$2\n";
last;
}
Finally, assuming there is only a single 007 C03 in each file, you could throw in a last call after one is found.
You may want to try sorting the #txtfiles list, then trying to systematically look through the output to see what is or isn't there. With 130k files in random order, it would be pretty difficult to be certain that you missed one. Perl should be giving you the files in the actual order they appear in the directory, which is different that user level commands like ls, so it may be different that you'd expect.

Print unique lines of a 10GB file

I have a 10GB file with 200 million lines. I need to get unique lines of this file.
My code:
while(<>) {
chomp;
$tmp{$_}=1;
}
#print...
I only have 2GB memory. How can I solve this problem?
As I commented on David's answer, a database is the way to go, but a nice one might be DBM::Deep since its pure-Perl and easy to install and use; its essentially a Perl hash tied to a file.
use DBM::Deep;
tie my %lines, 'DBM::Deep', 'data.db';
while(<>) {
chomp;
$lines{$_}=1;
}
This is basically what you already had, but the hash is now a database tied to a file (here data.db) rather than kept in memory.
If you don't care about preserving order, I bet the following is faster than the previously posted solutions (e.g. DBM::Deep):
sort -u file
In most cases, you could store the line as a key in a hash. However, when you get this big, this really isn't very efficient. In this case, you'd be better off using a database.
One thing to try is the Berkeley Database that use to be included in Unix (BDB). Now, it's apparently owned by Oracle.
Perl can use the BerkeleyDB module to talk with a BDB database. In fact, you can even tie a Perl hash to a BDB database. Once this is done, you can use normal Perl hashes to access and modify the database.
BDB is pretty robust. Bitcoins uses it, and so does SpamAssassin, so it is very possible that it can handle the type of database you have to create in order to find duplicate lines. If you already have DBD installed, writing a program to handle your task shouldn't take that long. If it doesn't work, you wouldn't have wasted too much time with this.
The only other thing I can think of is using an SQL database which would be slower and much more complex.
Addendum
Maybe I'm over thinking this...
I decided to try a simple hash. Here's my program:
#! /usr/bin/env perl
use strict;
use warnings;
use feature qw(say);
use autodie;
use constant DIR => "/usr/share/dict";
use constant WORD_LIST => qw(words web2a propernames connectives);
my %word_hash;
for my $count (1..100) {
for my $file (WORD_LIST) {
open my $file_fh, "<", DIR . "/$file";
while (my $word = <$file_fh>) {
chomp $word;
$word_hash{"$file-$word-$count"} = $word;
}
}
}
The files read in contain a total of about 313,000 lines. I do this 100 times to get a hash with 31,300,000 keys in it. It is about as inefficient as it can be. Each and every key will be unique. The amount of memory will be massive. Yet...
It worked. It took about 10 minutes to run despite the massive inefficiencies in the program, and it maxed out at around 6 gigabytes. However, most of that was in virtual memory. Strangely, even though it was running, gobbling memory, and taking 98% of the CPU, my system didn't really slow down all that much. I guess the question really is what type of performance are you expecting? If taking about 10 minutes to run isn't that much of an issue for you, and you don't expect this program to be used that often, then maybe go for simplicity and use a simple hash.
I'm now downloading DBD from Oracle, compiling it, and installing it. I'll try the same program using DBD and see what happens.
Using a BDB Database
After doing the work, I think if you have MySQL installed, using Perl DBI would be easier. I had to:
Download Berkeley DB from Oracle, and you need an Oracle account. I didn't remember my password, and told it to email me. Never got the email. I spent 10 minutes trying to remember my email address.
Once downloaded, it has to be compiled. Found directions for compiling for the Mac and it seemed pretty straight forward.
Running CPAN crashed. Ends up that CPAN is looking for /usr/local/BerkeleyDB and it was installed as /usr/local/BerkeleyDB.5.3. Creating a link fixed the issue.
All told, about 1/2 an hour getting BerkeleyDB installed. Once installed, modifying my program was fairly straight forward:
#! /usr/bin/env perl
use strict;
use warnings;
use feature qw(say);
use autodie;
use BerkeleyDB;
use constant {
DIR => "/usr/share/dict",
BDB_FILE => "bdb_file",
};
use constant WORD_LIST => qw(words web2a propernames connectives);
unlink BDB_FILE if -f BDB_FILE;
our %word_hash;
tie %word_hash, "BerkeleyDB::Hash",
-Filename => BDB_FILE,
-Flags => DB_CREATE
or die qq(Cannot create DBD_Database file ") . BDB_FILE . qq("\n);
for my $count (1..10) {
for my $file (WORD_LIST) {
open my $file_fh, "<", DIR . "/$file";
while (my $word = <$file_fh>) {
chomp $word;
$word_hash{"$file-$word-$count"} = $word;
}
}
}
All I had to do was add a few lines.
Running the program was a disappointment. It wasn't faster, but much, much slower. It took over 2 minutes while using a pure hash took a mere 13 seconds.
However, it used a lot less memory. While the old program gobbled gigabytes, the BDB version barely used a megabyte. Instead, it created a 20MB database file.
But, in these days of VM and cheap memory, did it accomplish anything? In the old days before virtual memory and good memory handling, a program would crash your computer if it used all of the memory (and memory was measured in megabytes and not gigabytes). Now, if your program wants more memory than is available, it simply is given virtual memory.
So, in the end, using a Berkeley database is not a good solution. Whatever I saved in programming time by using tie was wasted with the installation process. And, it was slow.
Using BDB simply used a DBD file instead of memory. A modern OS will do the same, and is faster. Why do the work when the OS will handle it for you?
The only reason to use a database is if your system really doesn't have the required resources. 200 million lines is a big file, but a modern OS will probably be okay with it. If your system really doesn't have the resource, use a SQL database on another system, and not a DBD database.
You might consider calculating a hash code for each line, and keeping track of (hash, position) mappings. You wouldn't need a complicated hash function (or even a large hash) for this; in fact, "smaller" is better than "more unique", if the primary concern is memory usage. Even a CRC, or summing up the chars' codes, might do. The point isn't to guarantee uniqueness at this stage -- it's just to narrow the candidate matches down from 200 million to a few dozen.
For each line, calculate the hash and see if you already have a mapping. If you do, then for each position that maps to that hash, read the line at that position and see if the lines match. If any of them do, skip that line. If none do, or you don't have any mappings for that hash, remember the (hash, position) and then print the line.
Note, i'm saying "position", not "line number". In order for this to work in less than a year, you'd almost certainly have to be able to seek right to a line rather than finding your way to line #1392499.
If you don't care about time/IO constraints, nor disk constraints (e.g. you have 10 more GB space), you can do the following dumb algorithm:
1) Read the file (which sounds like it has 50 character lines). While scanning it, remember the longest line length $L.
2) Analyze the first 3 characters (if you know char #1 is identical - say "[" - analyze the 3 characters in position N that is likely to have more diverse ones).
3) For each line with 3 characters $XYZ, append that line to file 3char.$XYZ and keep the count of how many lines in that file in a hash.
4) When your entire file is split up that way, you should have a whole bunch (if the files are A-Z only, then 26^3) of smaller files, and at most 4 files that are >2GB each.
5) Move the original file into "Processed" directory.
6) For each of the large files (>2GB), choose the next 3 character positions, and repeat steps #1-#5, with new files being 6char.$XYZABC
7) Lather, rinse, repeat. You will end up with one of the 2 options eventually:
8a) A bunch of smaller files each of which is under 2GB, all of which have mutually different strings, and each (due to its size) can be processed individually by standard "stash into a hash" solution in your question.
8b) Or, most of the files being smaller, but, you have exausted all $L characters while repeating step 7 for >2GB files, and you still have between 1-4 large files. Guess what - since
those up-to-4 large files have identical characters within a file in positions 1..$L, they can ALSO be processed using the "stash into a hash" method in your question, since they are not going to contain more than a few distinct lines despite their size!
Please note that this may require - at the worst possible distributions - 10GB * L / 3 disk space, but will ONLY require 20GB disk space if you change step #5 from "move" to "delete".
Voila. Done.
As an alternate approach, consider hashing your lines. I'm not a hashing expert but you should be able to compress a line into a hash <5 times line size IMHO.
If you want to be fancy about this, you will do a frequency analysis on character sequences on the first pass, and then do compression/encoding this way.
If you have more processor and have at least 15GB free space and your storage fast enough, you could try this out. This will process it in paralel.
split --lines=100000 -d 4 -d input.file
find . -name "x*" -print|xargs -n 1 -P10 -I SPLITTED_FILE sort -u SPLITTED_FILE>unique.SPLITTED_FILE
cat unique.*>output.file
rm unique.* x*
You could break you file into 10 1 Gbyte files Then reading in one file at a time, sorting lines from that file and writing it back out after they are sorted. Opening all of the 10 files and merge them back into one file (making sure you you merge them in the correct order). Open an output file to save the unique lines. Then read the merge file one line at a time, keeping the last line for comparison. If the last line and the current line are not a match, write out the last line and save the current line as the last line for comparison. Otherwise get the next line from the merged file. That will give you a file which has all of the unique lines.
It may take a while to do this, but if you are limited on memory, then breaking the file up and working on parts of it will work.
It may be possible to do the comparison when writing out the file, but that would be a bit more complicated.
Why use perl for this at all? posix shell:
sort | uniq
done, let's go drink beers.

Perl '-s' file test operator problem

I'm debugging a piece of code which uses the Perl '-s' function to get the size of some files.
my $File1 = /myfolder/.../mysubfolder1/document.pdf
my $File2 = /myfolder/.../mysubfolder2/document.pdf
my $File3 = /myfolder/.../mysubfolder1/document2.pdf ($File3 is actually a link to /myfolder/.../mysubfolder2/document.pdf aka $File2)
The code which is buggy is:
my $size = int((-s $File)/1024);
Where $File is replaced with $File1 - $File3.
For some reasons I can't explain this does not work on every file.
For $File1 and $File3 it works but not for $File2. I could understand if both $File2 and $File3 would not work, it would mean that the file /myfolder/.../mysubfolder2/document.pdf is somehow corrupt.
I even added a test if (-e $File)|{ before the -s to be sure the file exists, but the three files do exist.
There is an even more strange thing: there is an .htaccess in /myfolder/.../mysubfolder1/ but no .htaccess in /myfolder/.../mysubfolder2/. If it was inverse I would think the .htaccess would block the -s call somehow.
Any thoughts?
If -s fails, it returns undef and sets the error in $!. What is $!?
I suppose that if you check the size of that file with "stat" you will get something less than 1024 bytes :)
your int((-s $fn)/1024) will return 0 if size is less than 1024
To address the end of your comment, .htaccess file controls access to files by a web server's request. Once the user requests a URL which executes a valid permissible CGI/whatever script (I'm assuming yoour Perl code is in web context), THAT script has absolutely no permissioning issues regarding .htaccess (unless you actually code your Perl to read its contents and respect them explicitly by hand).
The only permissioning that can screw up your Perl file is the file system permissions in your OS.
To get the file size, your web user needs:
Execute permission on the directory containing the file
Possibly, read permission on the directory containing the file (not sure if the file size is stored in the inode?)
Possibly, read permission on the file iteself.
If all your 3 files (2 good and 1 bad) are in the same directory, check the file's read permissions.
If they are in different directories, check the file's read perms AND directory perms.
Change int((-s $file)/1024) to sprintf('%.0f', (-s $file)/1024) - you'll see something then, the file is probably under 1024 bytes, so the int() will happily return 0.

Shrinking file that is opened in read/write

In perl:
I have a file opened in read/write, with an exclusive lock.
open( $f, "+< $filename" );
flock( $f, LOCK_EX );
If I write more data to the file than it previously held, the file will grow.
If I write less data, my new contents are at the beginning, but the old contents are still there at the end of the file.
This isn't surprising, however it's not what I want.
Is there a simple way to shrink the file while it is opened in read/write? Basically I want to tell it to end the file at exactly this byte position.
I know I can open it differently, and I'm considering doing that, but a one line fix would be nice.
truncate
I actually don't know about perl, but since ftruncate(2) would be the C function, maybe this helps?

How do I properly format plain text data for a simple Perl dictionary app?

I have a very simple dictionary application that does search and display. It's built with the Win32::GUI module. I put all the plain text data needed for the dictionary under the __DATA__ section. The script itself is very small but with everything under the __DATA__ section, its size reaches 30 MB. In order to share the work with my friends, I've then packed the script into a stand-alone executable using the PP utility of the PAR::Packer module with the highest compression level 9 and now I have a single-file dictionary app of about the size of 17MB.
But although I'm very comfortable with the idea of a single-file script, placing such huge amount of text data under the script's DATA section does not feel right. For one thing, when I try opening the script in Padre (Notepad ++ is okay), I'm receiving the error that is like:
Can't open my script as the script is over the arbitrary file size limit which is currently 500000.
My questions:
Does it bring me any extra benefits except for the eliminating of Padre's file opening issue if I move everything under the DATA section to a separate text file?
If I do so, What should I do to reduce the size of the separate file? Zip it and uncompress it while doing search and display?
How do people normally format the text data needed for a dictionary application?
Any comments, ideas or suggestions? Thanks like always :)
If I do so, What should I do to reduce the size of the separate file? Zip it and uncompress it while doing search and display?
Well, it depends on WHY you want to reduce the size. If it is to minimize disk space usage (rather weird goal most of the time these days), then the zip/unzip is the way to go.
However if the goal is to minimize memory usage, then a better approach is to split up the dictionary data into smaller chunks (for example indexed by a first letter), and only load needed chunks.
How do people normally format the text data needed for a dictionary application?
IMHO the usual approach is what you get as the logical end of an approach mentioned above (partitioned and indexed data): using a back-end database, which allows you to only retrieve the data which is actually needed.
In your case probably something simple like SQLite or Berkley DB/DBM files should be OK.
Does it bring me any extra benefits except for the eliminating of Padre's file opening issue if I move everything under the DATA section to a separate text file?
This depends somewhat on your usage... if it's a never-changing script used by 3 people, may be no tangible benefits.
In general, it will make maintenance much easier (you can change the dictionary and the code logic independently - think virus definitions file vs. antivirus executable for real world example).
It will also decrease the process memory consumption if you go with the approaches I mentioned above.
Since you are using PAR::Packer already, why not move it to a separate file or module and include it in the PAR file?
The easy way (no extra commandline options to pp, it will see the use statement and do the right thing):
words.pl
#!/usr/bin/perl
use strict;
use warnings;
use Words;
for my $i (1 .. 2) {
print "Run $i\n";
while (defined(my $word = Words->next_word)) {
print "\t$word\n";
}
}
Words.pm
package Words;
use strict;
use warnings;
my $start = tell DATA
or die "could not find current position: $!";
sub next_word {
if (eof DATA) {
seek DATA, $start, 0
or die "could not seek: $!";
return undef;
}
chomp(my $word = scalar <DATA>);
return $word;
}
1;
__DATA__
a
b
c