perlhack - How to hack at the Perl internals
This document attempts to explain how Perl development takes place, and ends with some suggestions for people wanting to become bona fide porters.
The perl5-porters mailing list is where the Perl standard distribution is maintained and developed. The list can get anywhere from 10 to 150 messages a day, depending on the heatedness of the debate. Most days there are two or three patches, extensions, features, or bugs being discussed at a time.
A searchable archive of the list is at either:
http://www.xray.mpe.mpg.de/mailing-lists/perl5-porters/
or
http://archive.develooper.com/perl5-porters@perl.org/
List subscribers (the porters themselves) come in several flavours. Some are quiet curious lurkers, who rarely pitch in and instead watch the ongoing development to ensure they're forewarned of new changes or features in Perl. Some are representatives of vendors, who are there to make sure that Perl continues to compile and work on their platforms. Some patch any reported bug that they know how to fix, some are actively patching their pet area (threads, Win32, the regexp engine), while others seem to do nothing but complain. In other words, it's your usual mix of technical people.
Over this group of porters presides Larry Wall. He has the final word in what does and does not change in the Perl language. Various releases of Perl are shepherded by a "pumpking", a porter responsible for gathering patches, deciding on a patch-by-patch, feature-by-feature basis what will and will not go into the release. For instance, Gurusamy Sarathy was the pumpking for the 5.6 release of Perl, and Jarkko Hietaniemi was the pumpking for the 5.8 release, and Rafael Garcia-Suarez holds the pumpking crown for the 5.10 release.
In addition, various people are pumpkings for different things. For instance, Andy Dougherty and Jarkko Hietaniemi did a grand job as the Configure pumpkin up till the 5.8 release. For the 5.10 release H.Merijn Brand took over.
Larry sees Perl development along the lines of the US government: there's the Legislature (the porters), the Executive branch (the pumpkings), and the Supreme Court (Larry). The legislature can discuss and submit patches to the executive branch all they like, but the executive branch is free to veto them. Rarely, the Supreme Court will side with the executive branch over the legislature, or the legislature over the executive branch. Mostly, however, the legislature and the executive branch are supposed to get along and work out their differences without impeachment or court cases.
You might sometimes see reference to Rule 1 and Rule 2. Larry's power as Supreme Court is expressed in The Rules:
Larry is always by definition right about how Perl should behave. This means he has final veto power on the core functionality.
Larry is allowed to change his mind about any matter at a later date, regardless of whether he previously invoked Rule 1.
Got that? Larry is always right, even when he was wrong. It's rare to see either Rule exercised, but they are often alluded to.
New features and extensions to the language are contentious, because the criteria used by the pumpkings, Larry, and other porters to decide which features should be implemented and incorporated are not codified in a few small design goals as with some other languages. Instead, the heuristics are flexible and often difficult to fathom. Here is one person's list, roughly in decreasing order of importance, of heuristics that new features have to be weighed against:
These haven't been written anywhere in stone, but one approximation is:
1. Keep it fast, simple, and useful. 2. Keep features/concepts as orthogonal as possible. 3. No arbitrary limits (platforms, data sizes, cultures). 4. Keep it open and exciting to use/patch/advocate Perl everywhere. 5. Either assimilate new technologies, or build bridges to them.
All the talk in the world is useless without an implementation. In almost every case, the person or people who argue for a new feature will be expected to be the ones who implement it. Porters capable of coding new features have their own agendas, and are not available to implement your (possibly good) idea.
It's a cardinal sin to break existing Perl programs. New warnings are contentious--some say that a program that emits warnings is not broken, while others say it is. Adding keywords has the potential to break programs, changing the meaning of existing token sequences or functions might break programs.
Perl 5 has extension mechanisms, modules and XS, specifically to avoid the need to keep changing the Perl interpreter. You can write modules that export functions, you can give those functions prototypes so they can be called like built-in functions, you can even write XS code to mess with the runtime data structures of the Perl interpreter if you want to implement really complicated things. If it can be done in a module instead of in the core, it's highly unlikely to be added.
Is this something that only the submitter wants added to the language, or would it be broadly useful? Sometimes, instead of adding a feature with a tight focus, the porters might decide to wait until someone implements the more generalized feature. For instance, instead of implementing a "delayed evaluation" feature, the porters are waiting for a macro system that would permit delayed evaluation and much more.
Radical rewrites of large chunks of the Perl interpreter have the potential to introduce new bugs. The smaller and more localized the change, the better.
A patch is likely to be rejected if it closes off future avenues of development. For instance, a patch that placed a true and final interpretation on prototypes is likely to be rejected because there are still options for the future of prototypes that haven't been addressed.
Good patches (tight code, complete, correct) stand more chance of going in. Sloppy or incorrect patches might be placed on the back burner until the pumpking has time to fix, or might be discarded altogether without further notice.
The worst patches make use of a system-specific features. It's highly unlikely that non-portable additions to the Perl language will be accepted.
Patches which change behaviour (fixing bugs or introducing new features) must include regression tests to verify that everything works as expected. Without tests provided by the original author, how can anyone else changing perl in the future be sure that they haven't unwittingly broken the behaviour the patch implements? And without tests, how can the patch's author be confident that his/her hard work put into the patch won't be accidentally thrown away by someone in the future?
Patches without documentation are probably ill-thought out or incomplete. Nothing can be added without documentation, so submitting a patch for the appropriate manpages as well as the source code is always a good idea.
Larry said "Although the Perl Slogan is There's More Than One Way to Do It, I hesitate to make 10 ways to do something". This is a tricky heuristic to navigate, though--one man's essential addition is another man's pointless cruft.
Work for the pumpking, work for Perl programmers, work for module authors, ... Perl is supposed to be easy.
Working code is always preferred to pie-in-the-sky ideas. A patch to add a feature stands a much higher chance of making it to the language than does a random feature request, no matter how fervently argued the request might be. This ties into "Will it be useful?", as the fact that someone took the time to make the patch demonstrates a strong desire for the feature.
If you're on the list, you might hear the word "core" bandied around. It refers to the standard distribution. "Hacking on the core" means you're changing the C source code to the Perl interpreter. "A core module" is one that ships with Perl.
The source code to the Perl interpreter, in its different versions, is kept in a repository managed by a revision control system ( which is currently the Perforce program, see http://perforce.com/ ). The pumpkings and a few others have access to the repository to check in changes. Periodically the pumpking for the development version of Perl will release a new version, so the rest of the porters can see what's changed. The current state of the main trunk of repository, and patches that describe the individual changes that have happened since the last public release are available at this location:
http://public.activestate.com/pub/apc/
ftp://public.activestate.com/pub/apc/
If you're looking for a particular change, or a change that affected a particular set of files, you may find the Perl Repository Browser useful:
http://public.activestate.com/cgi-bin/perlbrowse
You may also want to subscribe to the perl5-changes mailing list to receive a copy of each patch that gets submitted to the maintenance and development "branches" of the perl repository. See http://lists.perl.org/ for subscription information.
If you are a member of the perl5-porters mailing list, it is a good thing to keep in touch with the most recent changes. If not only to verify if what you would have posted as a bug report isn't already solved in the most recent available perl development branch, also known as perl-current, bleading edge perl, bleedperl or bleadperl.
Needless to say, the source code in perl-current is usually in a perpetual state of evolution. You should expect it to be very buggy. Do not use it for any purpose other than testing and development.
Keeping in sync with the most recent branch can be done in several ways, but the most convenient and reliable way is using rsync, available at ftp://rsync.samba.org/pub/rsync/ . (You can also get the most recent branch by FTP.)
If you choose to keep in sync using rsync, there are two approaches to doing so:
Presuming you are in the directory where your perl source resides and you have rsync installed and available, you can "upgrade" to the bleadperl using:
# rsync -avz rsync://public.activestate.com/perl-current/ .
This takes care of updating every single item in the source tree to the latest applied patch level, creating files that are new (to your distribution) and setting date/time stamps of existing files to reflect the bleadperl status.
Note that this will not delete any files that were in '.' before the rsync. Once you are sure that the rsync is running correctly, run it with the --delete and the --dry-run options like this:
# rsync -avz --delete --dry-run rsync://public.activestate.com/perl-current/ .
This will simulate an rsync run that also deletes files not present in the bleadperl master copy. Observe the results from this run closely. If you are sure that the actual run would delete no files precious to you, you could remove the '--dry-run' option.
You can than check what patch was the latest that was applied by looking in the file .patch, which will show the number of the latest patch.
If you have more than one machine to keep in sync, and not all of them have access to the WAN (so you are not able to rsync all the source trees to the real source), there are some ways to get around this problem.
Set up a local rsync server which makes the rsynced source tree available to the LAN and sync the other machines against this directory.
"Rsync uses rsh or ssh for communication. It does not need to be
setuid and requires no special privileges for installation. It
does not require an inetd entry or a daemon. You must, however,
have a working rsh or ssh system. Using ssh is recommended for
its security features."
Having the other systems mounted over the NFS, you can take an active pushing approach by checking the just updated tree against the other not-yet synced trees. An example would be
#!/usr/bin/perl -w
use strict; use File::Copy;
my %MF = map { m/(\S+)/; $1 => [ (stat $1)[2, 7, 9] ]; # mode, size, mtime } `cat MANIFEST`;
my %remote = map { $_ => "/$_/pro/3gl/CPAN/perl-5.7.1" } qw(host1 host2);
foreach my $host (keys %remote) { unless (-d $remote{$host}) { print STDERR "Cannot Xsync for host $host\n"; next; } foreach my $file (keys %MF) { my $rfile = "$remote{$host}/$file"; my ($mode, $size, $mtime) = (stat $rfile)[2, 7, 9]; defined $size or ($mode, $size, $mtime) = (0, 0, 0); $size == $MF{$file}[1] && $mtime == $MF{$file}[2] and next; printf "%4s %-34s %8d %9d %8d %9d\n", $host, $file, $MF{$file}[1], $MF{$file}[2], $size, $mtime; unlink $rfile; copy ($file, $rfile); utime time, $MF{$file}[2], $rfile; chmod $MF{$file}[0], $rfile; } }
though this is not perfect. It could be improved with checking file checksums before updating. Not all NFS systems support reliable utime support (when used over the NFS).
The source tree is maintained by the pumpking who applies patches to
the files in the tree. These patches are either created by the
pumpking himself using diff -c after updating the file manually or
by applying patches sent in by posters on the perl5-porters list.
These patches are also saved and rsync'able, so you can apply them
yourself to the source files.
Presuming you are in a directory where your patches reside, you can get them in sync with
# rsync -avz rsync://public.activestate.com/perl-current-diffs/ .
This makes sure the latest available patch is downloaded to your patch directory.
It's then up to you to apply these patches, using something like
# last="`cat ../perl-current/.patch`.gz" # rsync -avz rsync://public.activestate.com/perl-current-diffs/ . # find . -name '*.gz' -newer $last -exec gzcat {} \; >blead.patch # cd ../perl-current # patch -p1 -N <../perl-current-diffs/blead.patch
or, since this is only a hint towards how it works, use CPAN-patchaperl from Andreas König to have better control over the patching process.
Since you don't have to apply the patches yourself, you are sure all files in the source tree are in the right state.
While both the rsync-able source and patch areas are automatically
updated every few minutes, keep in mind that applying patches may
sometimes mean careful hand-holding, especially if your version of
the patch program does not understand how to deal with new files,
files with 8-bit characters, or files without trailing newlines.
If you have more than one machine that you want to keep in track with bleadperl, it's easier to rsync the patches only once and then apply them to all the source trees on the different machines.
In case you try to keep in pace on 5 different machines, for which only one of them has access to the WAN, rsync'ing all the source trees should than be done 5 times over the NFS. Having rsync'ed the patches only once, I can apply them to all the source trees automatically. Need you say more ;-)
If you do not only like to have the most recent development branch, but also like to fix bugs, or extend features, you want to dive into the sources. If you are a seasoned perl core diver, you don't need no manuals, tips, roadmaps, perlguts.pod or other aids to find your way around. But if you are a starter, the patches may help you in finding where you should start and how to change the bits that bug you.
The file Changes is updated on occasions the pumpking sees as his own little sync points. On those occasions, he releases a tar-ball of the current source tree (i.e. perl@7582.tar.gz), which will be an excellent point to start with when choosing to use the 'rsync the patches' scheme. Starting with perl@7582, which means a set of source files on which the latest applied patch is number 7582, you apply all succeeding patches available from then on (7583, 7584, ...).
You can use the patches later as a kind of search archive.
If you want to fix/change the behaviour of function/feature Foo, just scan the patches for patches that mention Foo either in the subject, the comments, or the body of the fix. A good chance the patch shows you the files that are affected by that patch which are very likely to be the starting point of your journey into the guts of perl.
If you've found where the function/feature Foo misbehaves, but you don't know how to fix it (but you do know the change you want to make), you can, again, peruse the patches for similar changes and look how others apply the fix.
When you keep in sync with bleadperl, the pumpking would love to
see that the community efforts really work. So after each of his
sync points, you are to 'make test' to check if everything is still
in working order. If it is, you do 'make ok', which will send an OK
report to perlbug@perl.org. (If you do not have access to a mailer
from the system you just finished successfully 'make test', you can
do 'make okfile', which creates the file perl.ok, which you can
than take to your favourite mailer and mail yourself).
But of course, as always, things will not always lead to a success path, and one or more test do not pass the 'make test'. Before sending in a bug report (using 'make nok' or 'make nokfile'), check the mailing list if someone else has reported the bug already and if so, confirm it by replying to that message. If not, you might want to trace the source of that misbehaviour before sending in the bug, which will help all the other porters in finding the solution.
Here the saved patches come in very handy. You can check the list of patches to see which patch changed what file and what change caused the misbehaviour. If you note that in the bug report, it saves the one trying to solve it, looking for that point.
If searching the patches is too bothersome, you might consider using perl's bugtron to find more information about discussions and ramblings on posted bugs.
If you want to get the best of both worlds, rsync both the source tree for convenience, reliability and ease and rsync the patches for reference.
Because you cannot use the Perforce client, you cannot easily generate diffs against the repository, nor will merges occur when you update via rsync. If you edit a file locally and then rsync against the latest source, changes made in the remote copy will overwrite your local versions!
The best way to deal with this is to maintain a tree of symlinks to the rsync'd source. Then, when you want to edit a file, you remove the symlink, copy the real file into the other tree, and edit it. You can then diff your edited file against the original to generate a patch, and you can safely update the original tree.
Perl's Configure script can generate this tree of symlinks for you. The following example assumes that you have used rsync to pull a copy of the Perl source into the perl-rsync directory. In the directory above that one, you can execute the following commands:
mkdir perl-dev cd perl-dev ../perl-rsync/Configure -Dmksymlinks -Dusedevel -D"optimize=-g"
This will start the Perl configuration process. After a few prompts, you should see something like this:
Symbolic links are supported.
Checking how to test for symbolic links... Your builtin 'test -h' may be broken. Trying external '/usr/bin/test -h'. You can test for symbolic links with '/usr/bin/test -h'.
Creating the symbolic links... (First creating the subdirectories...) (Then creating the symlinks...)
The specifics may vary based on your operating system, of course. After you see this, you can abort the Configure script, and you will see that the directory you are in has a tree of symlinks to the perl-rsync directories and files.
If you plan to do a lot of work with the Perl source, here are some Bourne shell script functions that can make your life easier:
function edit {
if [ -L $1 ]; then
mv $1 $1.orig
cp $1.orig $1
vi $1
else
vi $1
fi
}
function unedit {
if [ -L $1.orig ]; then
rm $1
mv $1.orig $1
fi
}
Replace "vi" with your favorite flavor of editor.
Here is another function which will quickly generate a patch for the files which have been edited in your symlink tree:
mkpatchorig() {
local diffopts
for f in `find . -name '*.orig' | sed s,^\./,,`
do
case `echo $f | sed 's,.orig$,,;s,.*\.,,'` in
c) diffopts=-p ;;
pod) diffopts='-F^=' ;;
*) diffopts= ;;
esac
diff -du $diffopts $f `echo $f | sed 's,.orig$,,'`
done
}
This function produces patches which include enough context to make your changes obvious. This makes it easier for the Perl pumpking(s) to review them when you send them to the perl5-porters list, and that means they're more likely to get applied.
This function assumed a GNU diff, and may require some tweaking for other diff variants.
There is a single remote administrative interface for modifying bug status, category, open issues etc. using the RT bugtracker system, maintained by Robert Spier. Become an administrator, and close any bugs you can get your sticky mitts on:
http://bugs.perl.org/
To email the bug system administrators:
"perlbug-admin" <perlbug-admin@perl.org>
Always submit patches to perl5-porters@perl.org. If you're patching a core module and there's an author listed, send the author a copy (see Patching a core module). This lets other porters review your patch, which catches a surprising number of errors in patches. Either use the diff program (available in source code form from ftp://ftp.gnu.org/pub/gnu/ , or use Johan Vromans' makepatch (available from CPAN/authors/id/JV/). Unified diffs are preferred, but context diffs are accepted. Do not send RCS-style diffs or diffs without context lines. More information is given in the Porting/patching.pod file in the Perl source distribution. Please patch against the latest development version. (e.g., even if you're fixing a bug in the 5.8 track, patch against the latest development version rsynced from rsync://public.activestate.com/perl-current/ )
If changes are accepted, they are applied to the development branch. Then the 5.8 pumpking decides which of those patches is to be backported to the maint branch. Only patches that survive the heat of the development branch get applied to maintenance versions.
Your patch should update the documentation and test suite. See
Writing a test. If you have added or removed files in the distribution,
edit the MANIFEST file accordingly, sort the MANIFEST file using
make manisort, and include those changes as part of your patch.
Patching documentation also follows the same order: if accepted, a patch is first applied to development, and if relevant then it's backported to maintenance. (With an exception for some patches that document behaviour that only appears in the maintenance branch, but which has changed in the development version.)
To report a bug in Perl, use the program perlbug which comes with Perl (if you can't get Perl to work, send mail to the address perlbug@perl.org or perlbug@perl.com). Reporting bugs through perlbug feeds into the automated bug-tracking system, access to which is provided through the web at http://rt.perl.org/rt3/ . It often pays to check the archives of the perl5-porters mailing list to see whether the bug you're reporting has been reported before, and if so whether it was considered a bug. See above for the location of the searchable archives.
The CPAN testers ( http://testers.cpan.org/ ) are a group of volunteers who test CPAN modules on a variety of platforms. Perl Smokers ( http://www.nntp.perl.org/group/perl.daily-build and http://www.nntp.perl.org/group/perl.daily-build.reports/ ) automatically test Perl source releases on platforms with various configurations. Both efforts welcome volunteers. In order to get involved in smoke testing of the perl itself visit http://search.cpan.org/dist/Test-Smoke. In order to start smoke testing CPAN modules visit http://search.cpan.org/dist/CPAN-YACSmoke/ or http://search.cpan.org/dist/POE-Component-CPAN-YACSmoke/ or http://search.cpan.org/dist/CPAN-Reporter/.
It's a good idea to read and lurk for a while before chipping in. That way you'll get to see the dynamic of the conversations, learn the personalities of the players, and hopefully be better prepared to make a useful contribution when do you speak up.
If after all this you still think you want to join the perl5-porters mailing list, send mail to perl5-porters-subscribe@perl.org. To unsubscribe, send mail to perl5-porters-unsubscribe@perl.org.
To hack on the Perl guts, you'll need to read the following things:
This is of paramount importance, since it's the documentation of what goes where in the Perl source. Read it over a couple of times and it might start to make sense - don't worry if it doesn't yet, because the best way to study it is to read it in conjunction with poking at Perl source, and we'll do that later on.
You might also want to look at Gisle Aas's illustrated perlguts - there's no guarantee that this will be absolutely up-to-date with the latest documentation in the Perl core, but the fundamentals will be right. ( http://gisle.aas.no/perl/illguts/ )
A working knowledge of XSUB programming is incredibly useful for core hacking; XSUBs use techniques drawn from the PP code, the portion of the guts that actually executes a Perl program. It's a lot gentler to learn those techniques from simple examples and explanation than from the core itself.
The documentation for the Perl API explains what some of the internal functions do, as well as the many macros used in the source.
This is a collection of words of wisdom for a Perl porter; some of it is only useful to the pumpkin holder, but most of it applies to anyone wanting to go about Perl development.
This should be available from http://dev.perl.org/perl5/docs/p5p-faq.html . It contains hints on reading perl5-porters, information on how perl5-porters works and how Perl development in general works.
Perl maintenance can be split into a number of areas, and certain people (pumpkins) will have responsibility for each area. These areas sometimes correspond to files or directories in the source kit. Among the areas are:
Modules shipped as part of the Perl core live in the lib/ and ext/ subdirectories: lib/ is for the pure-Perl modules, and ext/ contains the core XS modules.
There are tests for nearly all the modules, built-ins and major bits of functionality. Test files all have a .t suffix. Module tests live in the lib/ and ext/ directories next to the module being tested. Others live in t/. See Writing a test
Documentation maintenance includes looking after everything in the pod/ directory, (as well as contributing new documentation) and the documentation to the modules in core.
The configure process is the way we make Perl portable across the myriad of operating systems it supports. Responsibility for the configure, build and installation process, as well as the overall portability of the core code rests with the configure pumpkin - others help out with individual operating systems.
The files involved are the operating system directories, (win32/, os2/, vms/ and so on) the shell scripts which generate config.h and Makefile, as well as the metaconfig files which generate Configure. (metaconfig isn't included in the core distribution.)
And of course, there's the core of the Perl interpreter itself. Let's have a look at that in a little more detail.
Before we leave looking at the layout, though, don't forget that MANIFEST contains not only the file names in the Perl distribution, but short descriptions of what's in them, too. For an overview of the important files, try this:
perl -lne 'print if /^[^\/]+\.[ch]\s+/' MANIFEST
The work of the interpreter has two main stages: compiling the code into the internal representation, or bytecode, and then executing it. Compiled code in the perlguts manpage explains exactly how the compilation stage happens.
Here is a short breakdown of perl's operation:
The action begins in perlmain.c. (or miniperlmain.c for miniperl) This is very high-level code, enough to fit on a single screen, and it resembles the code found in the perlembed manpage; most of the real action takes place in perl.c
First, perlmain.c allocates some memory and constructs a Perl interpreter:
1 PERL_SYS_INIT3(&argc,&argv,&env);
2
3 if (!PL_do_undump) {
4 my_perl = perl_alloc();
5 if (!my_perl)
6 exit(1);
7 perl_construct(my_perl);
8 PL_perl_destruct_level = 0;
9 }
Line 1 is a macro, and its definition is dependent on your operating
system. Line 3 references PL_do_undump, a global variable - all
global variables in Perl start with PL_. This tells you whether the
current running program was created with the -u flag to perl and then
undump, which means it's going to be false in any sane context.
Line 4 calls a function in perl.c to allocate memory for a Perl interpreter. It's quite a simple function, and the guts of it looks like this:
my_perl = (PerlInterpreter*)PerlMem_malloc(sizeof(PerlInterpreter));
Here you see an example of Perl's system abstraction, which we'll see
later: PerlMem_malloc is either your system's malloc, or Perl's
own malloc as defined in malloc.c if you selected that option at
configure time.
Next, in line 7, we construct the interpreter; this sets up all the special variables that Perl needs, the stacks, and so on.
Now we pass Perl the command line options, and tell it to go:
exitstatus = perl_parse(my_perl, xs_init, argc, argv, (char **)NULL);
if (!exitstatus) {
exitstatus = perl_run(my_perl);
}
perl_parse is actually a wrapper around S_parse_body, as defined
in perl.c, which processes the command line options, sets up any
statically linked XS modules, opens the program and calls yyparse to
parse it.
The aim of this stage is to take the Perl source, and turn it into an op tree. We'll see what one of those looks like later. Strictly speaking, there's three things going on here.
yyparse, the parser, lives in perly.c, although you're better off
reading the original YACC input in perly.y. (Yes, Virginia, there
is a YACC grammar for Perl!) The job of the parser is to take your
code and "understand" it, splitting it into sentences, deciding which
operands go with which operators and so on.
The parser is nobly assisted by the lexer, which chunks up your input
into tokens, and decides what type of thing each token is: a variable
name, an operator, a bareword, a subroutine, a core function, and so on.
The main point of entry to the lexer is yylex, and that and its
associated routines can be found in toke.c. Perl isn't much like
other computer languages; it's highly context sensitive at times, it can
be tricky to work out what sort of token something is, or where a token
ends. As such, there's a lot of interplay between the tokeniser and the
parser, which can get pretty frightening if you're not used to it.
As the parser understands a Perl program, it builds up a tree of operations for the interpreter to perform during execution. The routines which construct and link together the various operations are to be found in op.c, and will be examined later.
Now the parsing stage is complete, and the finished tree represents
the operations that the Perl interpreter needs to perform to execute our
program. Next, Perl does a dry run over the tree looking for
optimisations: constant expressions such as 3 + 4 will be computed
now, and the optimizer will also see if any multiple operations can be
replaced with a single one. For instance, to fetch the variable $foo,
instead of grabbing the glob *foo and looking at the scalar
component, the optimizer fiddles the op tree to use a function which
directly looks up the scalar in question. The main optimizer is peep
in op.c, and many ops have their own optimizing functions.
Now we're finally ready to go: we have compiled Perl byte code, and all
that's left to do is run it. The actual execution is done by the
runops_standard function in run.c; more specifically, it's done by
these three innocent looking lines:
while ((PL_op = CALL_FPTR(PL_op->op_ppaddr)(aTHX))) {
PERL_ASYNC_CHECK();
}
You may be more comfortable with the Perl version of that:
PERL_ASYNC_CHECK() while $Perl::op = &{$Perl::op->{function}};
Well, maybe not. Anyway, each op contains a function pointer, which
stipulates the function which will actually carry out the operation.
This function will return the next op in the sequence - this allows for
things like if which choose the next op dynamically at run time.
The PERL_ASYNC_CHECK makes sure that things like signals interrupt
execution if required.
The actual functions called are known as PP code, and they're spread
between four files: pp_hot.c contains the "hot" code, which is most
often used and highly optimized, pp_sys.c contains all the
system-specific functions, pp_ctl.c contains the functions which
implement control structures (if, while and the like) and pp.c
contains everything else. These are, if you like, the C code for Perl's
built-in functions and operators.
Note that each pp_ function is expected to return a pointer to the next
op. Calls to perl subs (and eval blocks) are handled within the same
runops loop, and do not consume extra space on the C stack. For example,
pp_entersub and pp_entertry just push a CxSUB or CxEVAL block
struct onto the context stack which contain the address of the op
following the sub call or eval. They then return the first op of that sub
or eval block, and so execution continues of that sub or block. Later, a
pp_leavesub or pp_leavetry op pops the CxSUB or CxEVAL,
retrieves the return op from it, and returns it.
Perl's exception handing (i.e. die etc.) is built on top of the low-level
setjmp()/longjmp() C-library functions. These basically provide a
way to capture the current PC and SP registers and later restore them; i.e.
a longjmp() continues at the point in code where a previous setjmp()
was done, with anything further up on the C stack being lost. This is why
code should always save values using SAVE_FOO rather than in auto
variables.
The perl core wraps setjmp() etc in the macros JMPENV_PUSH and
JMPENV_JUMP. The basic rule of perl exceptions is that exit, and
die (in the absence of eval) perform a JMPENV_JUMP(2), while
die within eval does a JMPENV_JUMP(3).
At entry points to perl, such as perl_parse(), perl_run() and
call_sv(cv, G_EVAL) each does a JMPENV_PUSH, then enter a runops
loop or whatever, and handle possible exception returns. For a 2 return,
final cleanup is performed, such as popping stacks and calling CHECK or
END blocks. Amongst other things, this is how scope cleanup still
occurs during an exit.
If a die can find a CxEVAL block on the context stack, then the
stack is popped to that level and the return op in that block is assigned
to PL_restartop; then a JMPENV_JUMP(3) is performed. This normally
passes control back to the guard. In the case of perl_run and
call_sv, a non-null PL_restartop triggers re-entry to the runops
loop. The is the normal way that die or croak is handled within an
eval.
Sometimes ops are executed within an inner runops loop, such as tie, sort or overload code. In this case, something like
sub FETCH { eval { die } }
would cause a longjmp right back to the guard in perl_run, popping both
runops loops, which is clearly incorrect. One way to avoid this is for the
tie code to do a JMPENV_PUSH before executing FETCH in the inner
runops loop, but for efficiency reasons, perl in fact just sets a flag,
using CATCH_SET(TRUE). The pp_require, pp_entereval and
pp_entertry ops check this flag, and if true, they call docatch,
which does a JMPENV_PUSH and starts a new runops level to execute the
code, rather than doing it on the current loop.
As a further optimisation, on exit from the eval block in the FETCH,
execution of the code following the block is still carried on in the inner
loop. When an exception is raised, docatch compares the JMPENV
level of the CxEVAL with PL_top_env and if they differ, just
re-throws the exception. In this way any inner loops get popped.
Here's an example.
1: eval { tie @a, 'A' };
2: sub A::TIEARRAY {
3: eval { die };
4: die;
5: }
To run this code, perl_run is called, which does a JMPENV_PUSH then
enters a runops loop. This loop executes the eval and tie ops on line 1,
with the eval pushing a CxEVAL onto the context stack.
The pp_tie does a CATCH_SET(TRUE), then starts a second runops loop
to execute the body of TIEARRAY. When it executes the entertry op on
line 3, CATCH_GET is true, so pp_entertry calls docatch which
does a JMPENV_PUSH and starts a third runops loop, which then executes
the die op. At this point the C call stack looks like this:
Perl_pp_die
Perl_runops # third loop
S_docatch_body
S_docatch
Perl_pp_entertry
Perl_runops # second loop
S_call_body
Perl_call_sv
Perl_pp_tie
Perl_runops # first loop
S_run_body
perl_run
main
and the context and data stacks, as shown by -Dstv, look like:
STACK 0: MAIN
CX 0: BLOCK =>
CX 1: EVAL => AV() PV("A"\0)
retop=leave
STACK 1: MAGIC
CX 0: SUB =>
retop=(null)
CX 1: EVAL => *
retop=nextstate
The die pops the first CxEVAL off the context stack, sets
PL_restartop from it, does a JMPENV_JUMP(3), and control returns to
the top docatch. This then starts another third-level runops level,
which executes the nextstate, pushmark and die ops on line 4. At the point
that the second pp_die is called, the C call stack looks exactly like
that above, even though we are no longer within an inner eval; this is
because of the optimization mentioned earlier. However, the context stack
now looks like this, ie with the top CxEVAL popped:
STACK 0: MAIN
CX 0: BLOCK =>
CX 1: EVAL => AV() PV("A"\0)
retop=leave
STACK 1: MAGIC
CX 0: SUB =>
retop=(null)
The die on line 4 pops the context stack back down to the CxEVAL, leaving it as:
STACK 0: MAIN
CX 0: BLOCK =>
As usual, PL_restartop is extracted from the CxEVAL, and a
JMPENV_JUMP(3) done, which pops the C stack back to the docatch:
S_docatch
Perl_pp_entertry
Perl_runops # second loop
S_call_body
Perl_call_sv
Perl_pp_tie
Perl_runops # first loop
S_run_body
perl_run
main
In this case, because the JMPENV level recorded in the CxEVAL
differs from the current one, docatch just does a JMPENV_JUMP(3)
and the C stack unwinds to:
perl_run
main
Because PL_restartop is non-null, run_body starts a new runops loop
and execution continues.
You should by now have had a look at the perlguts manpage, which tells you about Perl's internal variable types: SVs, HVs, AVs and the rest. If not, do that now.
These variables are used not only to represent Perl-space variables, but also any constants in the code, as well as some structures completely internal to Perl. The symbol table, for instance, is an ordinary Perl hash. Your code is represented by an SV as it's read into the parser; any program files you call are opened via ordinary Perl filehandles, and so on.
The core Devel::Peek module lets us examine SVs from a
Perl program. Let's see, for instance, how Perl treats the constant
"hello".
% perl -MDevel::Peek -e 'Dump("hello")'
1 SV = PV(0xa041450) at 0xa04ecbc
2 REFCNT = 1
3 FLAGS = (POK,READONLY,pPOK)
4 PV = 0xa0484e0 "hello"\0
5 CUR = 5
6 LEN = 6
Reading Devel::Peek output takes a bit of practise, so let's go
through it line by line.
Line 1 tells us we're looking at an SV which lives at 0xa04ecbc in
memory. SVs themselves are very simple structures, but they contain a
pointer to a more complex structure. In this case, it's a PV, a
structure which holds a string value, at location 0xa041450. Line 2
is the reference count; there are no other references to this data, so
it's 1.
Line 3 are the flags for this SV - it's OK to use it as a PV, it's a
read-only SV (because it's a constant) and the data is a PV internally.
Next we've got the contents of the string, starting at location
0xa0484e0.
Line 5 gives us the current length of the string - note that this does
not include the null terminator. Line 6 is not the length of the
string, but the length of the currently allocated buffer; as the string
grows, Perl automatically extends the available storage via a routine
called SvGROW.
You can get at any of these quantities from C very easily; just add
Sv to the name of the field shown in the snippet, and you've got a
macro which will return the value: SvCUR(sv) returns the current
length of the string, SvREFCOUNT(sv) returns the reference count,
SvPV(sv, len) returns the string itself with its length, and so on.
More macros to manipulate these properties can be found in the perlguts manpage.
Let's take an example of manipulating a PV, from sv_catpvn, in sv.c
1 void
2 Perl_sv_catpvn(pTHX_ register SV *sv, register const char *ptr, register STRLEN len)
3 {
4 STRLEN tlen;
5 char *junk;
6 junk = SvPV_force(sv, tlen);
7 SvGROW(sv, tlen + len + 1);
8 if (ptr == junk)
9 ptr = SvPVX(sv);
10 Move(ptr,SvPVX(sv)+tlen,len,char);
11 SvCUR(sv) += len;
12 *SvEND(sv) = '\0';
13 (void)SvPOK_only_UTF8(sv); /* validate pointer */
14 SvTAINT(sv);
15 }
This is a function which adds a string, ptr, of length len onto
the end of the PV stored in sv. The first thing we do in line 6 is
make sure that the SV has a valid PV, by calling the SvPV_force
macro to force a PV. As a side effect, tlen gets set to the current
value of the PV, and the PV itself is returned to junk.
In line 7, we make sure that the SV will have enough room to accommodate
the old string, the new string and the null terminator. If LEN isn't
big enough, SvGROW will reallocate space for us.
Now, if junk is the same as the string we're trying to add, we can
grab the string directly from the SV; SvPVX is the address of the PV
in the SV.
Line 10 does the actual catenation: the Move macro moves a chunk of
memory around: we move the string ptr to the end of the PV - that's
the start of the PV plus its current length. We're moving len bytes
of type char. After doing so, we need to tell Perl we've extended the
string, by altering CUR to reflect the new length. SvEND is a
macro which gives us the end of the string, so that needs to be a
"\0".
Line 13 manipulates the flags; since we've changed the PV, any IV or NV
values will no longer be valid: if we have $a=10; $a.="6"; we don't
want to use the old IV of 10. SvPOK_only_utf8 is a special UTF-8-aware
version of SvPOK_only, a macro which turns off the IOK and NOK flags
and turns on POK. The final SvTAINT is a macro which launders tainted
data if taint mode is turned on.
AVs and HVs are more complicated, but SVs are by far the most common variable type being thrown around. Having seen something of how we manipulate these, let's go on and look at how the op tree is constructed.
First, what is the op tree, anyway? The op tree is the parsed representation of your program, as we saw in our section on parsing, and it's the sequence of operations that Perl goes through to execute your program, as we saw in Running.
An op is a fundamental operation that Perl can perform: all the built-in functions and operators are ops, and there are a series of ops which deal with concepts the interpreter needs internally - entering and leaving a block, ending a statement, fetching a variable, and so on.
The op tree is connected in two ways: you can imagine that there are two "routes" through it, two orders in which you can traverse the tree. First, parse order reflects how the parser understood the code, and secondly, execution order tells perl what order to perform the operations in.
The easiest way to examine the op tree is to stop Perl after it has finished parsing, and get it to dump out the tree. This is exactly what the compiler backends B::Terse, B::Concise and B::Debug do.
Let's have a look at how Perl sees $a = $b + $c:
% perl -MO=Terse -e '$a=$b+$c'
1 LISTOP (0x8179888) leave
2 OP (0x81798b0) enter
3 COP (0x8179850) nextstate
4 BINOP (0x8179828) sassign
5 BINOP (0x8179800) add [1]
6 UNOP (0x81796e0) null [15]
7 SVOP (0x80fafe0) gvsv GV (0x80fa4cc) *b
8 UNOP (0x81797e0) null [15]
9 SVOP (0x8179700) gvsv GV (0x80efeb0) *c
10 UNOP (0x816b4f0) null [15]
11 SVOP (0x816dcf0) gvsv GV (0x80fa460) *a
Let's start in the middle, at line 4. This is a BINOP, a binary
operator, which is at location 0x8179828. The specific operator in
question is sassign - scalar assignment - and you can find the code
which implements it in the function pp_sassign in pp_hot.c. As a
binary operator, it has two children: the add operator, providing the
result of $b+$c, is uppermost on line 5, and the left hand side is on
line 10.
Line 10 is the null op: this does exactly nothing. What is that doing there? If you see the null op, it's a sign that something has been optimized away after parsing. As we mentioned in Optimization, the optimization stage sometimes converts two operations into one, for example when fetching a scalar variable. When this happens, instead of rewriting the op tree and cleaning up the dangling pointers, it's easier just to replace the redundant operation with the null op. Originally, the tree would have looked like this:
10 SVOP (0x816b4f0) rv2sv [15]
11 SVOP (0x816dcf0) gv GV (0x80fa460) *a
That is, fetch the a entry from the main symbol table, and then look
at the scalar component of it: gvsv (pp_gvsv into pp_hot.c)
happens to do both these things.
The right hand side, starting at line 5 is similar to what we've just
seen: we have the add op (pp_add also in pp_hot.c) add together
two gvsvs.
Now, what's this about?
1 LISTOP (0x8179888) leave
2 OP (0x81798b0) enter
3 COP (0x8179850) nextstate
enter and leave are scoping ops, and their job is to perform any
housekeeping every time you enter and leave a block: lexical variables
are tidied up, unreferenced variables are destroyed, and so on. Every
program will have those first three lines: leave is a list, and its
children are all the statements in the block. Statements are delimited
by nextstate, so a block is a collection of nextstate ops, with
the ops to be performed for each statement being the children of
nextstate. enter is a single op which functions as a marker.
That's how Perl parsed the program, from top to bottom:
Program
|
Statement
|
=
/ \
/ \
$a +
/ \
$b $c
However, it's impossible to perform the operations in this order:
you have to find the values of $b and $c before you add them
together, for instance. So, the other thread that runs through the op
tree is the execution order: each op has a field op_next which points
to the next op to be run, so following these pointers tells us how perl
executes the code. We can traverse the tree in this order using
the exec option to B::Terse:
% perl -MO=Terse,exec -e '$a=$b+$c'
1 OP (0x8179928) enter
2 COP (0x81798c8) nextstate
3 SVOP (0x81796c8) gvsv GV (0x80fa4d4) *b
4 SVOP (0x8179798) gvsv GV (0x80efeb0) *c
5 BINOP (0x8179878) add [1]
6 SVOP (0x816dd38) gvsv GV (0x80fa468) *a
7 BINOP (0x81798a0) sassign
8 LISTOP (0x8179900) leave
This probably makes more sense for a human: enter a block, start a
statement. Get the values of $b and $c, and add them together.
Find $a, and assign one to the other. Then leave.
The way Perl builds up these op trees in the parsing process can be
unravelled by examining perly.y, the YACC grammar. Let's take the
piece we need to construct the tree for $a = $b + $c
1 term : term ASSIGNOP term
2 { $$ = newASSIGNOP(OPf_STACKED, $1, $2, $3); }
3 | term ADDOP term
4 { $$ = newBINOP($2, 0, scalar($1), scalar($3)); }
If you're not used to reading BNF grammars, this is how it works: You're
fed certain things by the tokeniser, which generally end up in upper
case. Here, ADDOP, is provided when the tokeniser sees + in your
code. ASSIGNOP is provided when = is used for assigning. These are
"terminal symbols", because you can't get any simpler than them.
The grammar, lines one and three of the snippet above, tells you how to
build up more complex forms. These complex forms, "non-terminal symbols"
are generally placed in lower case. term here is a non-terminal
symbol, representing a single expression.
The grammar gives you the following rule: you can make the thing on the
left of the colon if you see all the things on the right in sequence.
This is called a "reduction", and the aim of parsing is to completely
reduce the input. There are several different ways you can perform a
reduction, separated by vertical bars: so, term followed by =
followed by term makes a term, and term followed by +
followed by term can also make a term.
So, if you see two terms with an = or +, between them, you can
turn them into a single expression. When you do this, you execute the
code in the block on the next line: if you see =, you'll do the code
in line 2. If you see +, you'll do the code in line 4. It's this code
which contributes to the op tree.
| term ADDOP term
{ $$ = newBINOP($2, 0, scalar($1), scalar($3)); }
What this does is creates a new binary op, and feeds it a number of
variables. The variables refer to the tokens: $1 is the first token in
the input, $2 the second, and so on - think regular expression
backreferences. $$ is the op returned from this reduction. So, we
call newBINOP to create a new binary operator. The first parameter to
newBINOP, a function in op.c, is the op type. It's an addition
operator, so we want the type to be ADDOP. We could specify this
directly, but it's right there as the second token in the input, so we
use $2. The second parameter is the op's flags: 0 means "nothing
special". Then the things to add: the left and right hand side of our
expression, in scalar context.
When perl executes something like addop, how does it pass on its
results to the next op? The answer is, through the use of stacks. Perl
has a number of stacks to store things it's currently working on, and
we'll look at the three most important ones here.
Arguments are passed to PP code and returned from PP code using the
argument stack, ST. The typical way to handle arguments is to pop
them off the stack, deal with them how you wish, and then push the result
back onto the stack. This is how, for instance, the cosine operator
works:
NV value;
value = POPn;
value = Perl_cos(value);
XPUSHn(value);
We'll see a more tricky example of this when we consider Perl's macros
below. POPn gives you the NV (floating point value) of the top SV on
the stack: the $x in cos($x). Then we compute the cosine, and push
the result back as an NV. The X in XPUSHn means that the stack
should be extended if necessary - it can't be necessary here, because we
know there's room for one more item on the stack, since we've just
removed one! The XPUSH* macros at least guarantee safety.
Alternatively, you can fiddle with the stack directly: SP gives you
the first element in your portion of the stack, and TOP* gives you
the top SV/IV/NV/etc. on the stack. So, for instance, to do unary
negation of an integer:
SETi(-TOPi);
Just set the integer value of the top stack entry to its negation.
Argument stack manipulation in the core is exactly the same as it is in XSUBs - see the perlxstut manpage, the perlxs manpage and the perlguts manpage for a longer description of the macros used in stack manipulation.
I say "your portion of the stack" above because PP code doesn't
necessarily get the whole stack to itself: if your function calls
another function, you'll only want to expose the arguments aimed for the
called function, and not (necessarily) let it get at your own data. The
way we do this is to have a "virtual" bottom-of-stack, exposed to each
function. The mark stack keeps bookmarks to locations in the argument
stack usable by each function. For instance, when dealing with a tied
variable, (internally, something with "P" magic) Perl has to call
methods for accesses to the tied variables. However, we need to separate
the arguments exposed to the method to the argument exposed to the
original function - the store or fetch or whatever it may be. Here's
roughly how the tied push is implemented; see av_push in av.c:
1 PUSHMARK(SP);
2 EXTEND(SP,2);
3 PUSHs(SvTIED_obj((SV*)av, mg));
4 PUSHs(val);
5 PUTBACK;
6 ENTER;
7 call_method("PUSH", G_SCALAR|G_DISCARD);
8 LEAVE;
Let's examine the whole implementation, for practice:
1 PUSHMARK(SP);
Push the current state of the stack pointer onto the mark stack. This is so that when we've finished adding items to the argument stack, Perl knows how many things we've added recently.
2 EXTEND(SP,2);
3 PUSHs(SvTIED_obj((SV*)av, mg));
4 PUSHs(val);
We're going to add two more items onto the argument stack: when you have
a tied array, the PUSH subroutine receives the object and the value
to be pushed, and that's exactly what we have here - the tied object,
retrieved with SvTIED_obj, and the value, the SV val.
5 PUTBACK;
Next we tell Perl to update the global stack pointer from our internal
variable: dSP only gave us a local copy, not a reference to the global.
6 ENTER;
7 call_method("PUSH", G_SCALAR|G_DISCARD);
8 LEAVE;
ENTER and LEAVE localise a block of code - they make sure that all
variables are tidied up, everything that has been localised gets
its previous value returned, and so on. Think of them as the { and
} of a Perl block.
To actually do the magic method call, we have to call a subroutine in
Perl space: call_method takes care of that, and it's described in
the perlcall manpage. We call the PUSH method in scalar context, and we're
going to discard its return value. The call_method() function
removes the top element of the mark stack, so there is nothing for
the caller to clean up.
C doesn't have a concept of local scope, so perl provides one. We've
seen that ENTER and LEAVE are used as scoping braces; the save
stack implements the C equivalent of, for example:
{
local $foo = 42;
...
}
See Localising Changes in the perlguts manpage for how to use the save stack.
One thing you'll notice about the Perl source is that it's full of macros. Some have called the pervasive use of macros the hardest thing to understand, others find it adds to clarity. Let's take an example, the code which implements the addition operator:
1 PP(pp_add) 2 { 3 dSP; dATARGET; tryAMAGICbin(add,opASSIGN); 4 { 5 dPOPTOPnnrl_ul; 6 SETn( left + right ); 7 RETURN; 8 } 9 }
Every line here (apart from the braces, of course) contains a macro. The first line sets up the function declaration as Perl expects for PP code; line 3 sets up variable declarations for the argument stack and the target, the return value of the operation. Finally, it tries to see if the addition operation is overloaded; if so, the appropriate subroutine is called.
Line 5 is another variable declaration - all variable declarations start
with d - which pops from the top of the argument stack two NVs (hence
nn) and puts them into the variables right and left, hence the
rl. These are the two operands to the addition operator. Next, we
call SETn to set the NV of the return value to the result of adding
the two values. This done, we return - the RETURN macro makes sure
that our return value is properly handled, and we pass the next operator
to run back to the main run loop.
Most of these macros are explained in the perlapi manpage, and some of the more
important ones are explained in the perlxs manpage as well. Pay special attention
to Background and PERL_IMPLICIT_CONTEXT in the perlguts manpage for information on
the [pad]THX_? macros.
You can expand the macros in a foo.c file by saying
make foo.i
which will expand the macros using cpp. Don't be scared by the results.
Various tools exist for analysing C source code statically, as opposed to dynamically, that is, without executing the code. It is possible to detect resource leaks, undefined behaviour, type mismatches, portability problems, code paths that would cause illegal memory accesses, and other similar problems by just parsing the C code and looking at the resulting graph, what does it tell about the execution and data flows. As a matter of fact, this is exactly how C compilers know to give warnings about dubious code.
The good old C code quality inspector, lint, is available in
several platforms, but please be aware that there are several
different implementations of it by different vendors, which means that
the flags are not identical across different platforms.
There is a lint variant called splint (Secure Programming Lint)
available from http://www.splint.org/ that should compile on any
Unix-like platform.
There are lint and <splint> targets in Makefile, but you may have
to diddle with the flags (see above).
Coverity (http://www.coverity.com/) is a product similar to lint and as a testbed for their product they periodically check several open source projects, and they give out accounts to open source developers to the defect databases.
The cpd tool detects cut-and-paste coding. If one instance of the cut-and-pasted code changes, all the other spots should probably be changed, too. Therefore such code should probably be turned into a subroutine or a macro.
cpd (http://pmd.sourceforge.net/cpd.html) is part of the pmd project (http://pmd.sourceforge.net/). pmd was originally written for static analysis of Java code, but later the cpd part of it was extended to parse also C and C++.
Download the pmd-bin-X.Y.zip () from the SourceForge site, extract the pmd-X.Y.jar from it, and then run that on source code thusly:
java -cp pmd-X.Y.jar net.sourceforge.pmd.cpd.CPD --minimum-tokens 100 --files /some/where/src --language c > cpd.txt
You may run into memory limits, in which case you should use the -Xmx option:
java -Xmx512M ...
Though much can be written about the inconsistency and coverage
problems of gcc warnings (like -Wall not meaning "all the
warnings", or some common portability problems not being covered by
-Wall, or -ansi and -pedantic both being a poorly defined
collection of warnings, and so forth), gcc is still a useful tool in
keeping our coding nose clean.
The -Wall is by default on.
The -ansi (and its sidekick, -pedantic) would be nice to be on
always, but unfortunately they are not safe on all platforms, they can
for example cause fatal conflicts with the system headers (Solaris
being a prime example). If Configure -Dgccansipedantic is used,
the cflags frontend selects -ansi -pedantic for the platforms
where they are known to be safe.
Starting from Perl 5.9.4 the following extra flags are added:
-Wendif-labels
-Wextra
-Wdeclaration-after-statement
The following flags would be nice to have but they would first need their own Augean stablemaster:
-Wpointer-arith
-Wshadow
-Wstrict-prototypes
The -Wtraditional is another example of the annoying tendency of
gcc to bundle a lot of warnings under one switch -- it would be
impossible to deploy in practice because it would complain a lot -- but
it does contain some warnings that would be beneficial to have available
on their own, such as the warning about string constants inside macros
containing the macro arguments: this behaved differently pre-ANSI
than it does in ANSI, and some C compilers are still in transition,
AIX being an example.
Other C compilers (yes, there are other C compilers than gcc) often
have their "strict ANSI" or "strict ANSI with some portability extensions"
modes on, like for example the Sun Workshop has its -Xa mode on
(though implicitly), or the DEC (these days, HP...) has its -std1
mode on.
You can compile a special debugging version of Perl, which allows you
to use the -D option of Perl to tell more about what Perl is doing.
But sometimes there is no alternative than to dive in with a debugger,
either to see the stack trace of a core dump (very useful in a bug
report), or trying to figure out what went wrong before the core dump
happened, or how did we end up having wrong or unexpected results.
To really poke around with Perl, you'll probably want to build Perl for debugging, like this:
./Configure -d -D optimize=-g
make
-g is a flag to the C compiler to have it produce debugging
information which will allow us to step through a running program,
and to see in which C function we are at (without the debugging
information we might see only the numerical addresses of the functions,
which is not very helpful).
Configure will also turn on the DEBUGGING compilation symbol which
enables all the internal debugging code in Perl. There are a whole bunch
of things you can debug with this: the perlrun manpage lists them all, and the
best way to find out about them is to play about with them. The most
useful options are probably
l Context (loop) stack processing
t Trace execution
o Method and overloading resolution
c String/numeric conversions
Some of the functionality of the debugging code can be achieved using XS modules.
-Dr => use re 'debug'
-Dx => use O 'Debug'
If the debugging output of -D doesn't help you, it's time to step
through perl's execution with a source-level debugger.
We'll use gdb for our examples here; the principles will apply to
any debugger (many vendors call their debugger dbx), but check the
manual of the one you're using.
To fire up the debugger, type
gdb ./perl
Or if you have a core dump:
gdb ./perl core
You'll want to do that in your Perl source tree so the debugger can read the source code. You should see the copyright message, followed by the prompt.
(gdb)
help will get you into the documentation, but here are the most
useful commands:
Run the program with the given arguments.
Tells the debugger that we'll want to pause execution when we reach either the named function (but see Internal Functions in the perlguts manpage!) or the given line in the named source file.
Steps through the program a line at a time.
Steps through the program a line at a time, without descending into functions.
Run until the next breakpoint.
Run until the end of the current function, then stop again.
Just pressing Enter will do the most recent operation again - it's a blessing when stepping through miles of source code.
Execute the given C code and print its results. WARNING: Perl makes heavy use of macros, and gdb does not necessarily support macros (see later gdb macro support). You'll have to substitute them yourself, or to invoke cpp on the source code files (see The .i Targets) So, for instance, you can't say
print SvPV_nolen(sv)
but you have to say
print Perl_sv_2pv_nolen(sv)
You may find it helpful to have a "macro dictionary", which you can
produce by saying cpp -dM perl.c | sort. Even then, cpp won't
recursively apply those macros for you.
Recent versions of gdb have fairly good macro support, but
in order to use it you'll need to compile perl with macro definitions
included in the debugging information. Using gcc version 3.1, this
means configuring with -Doptimize=-g3. Other compilers might use a
different switch (if they support debugging macros at all).
One way to get around this macro hell is to use the dumping functions in
dump.c; these work a little like an internal
Devel::Peek, but they also cover OPs and other structures
that you can't get at from Perl. Let's take an example. We'll use the
$a = $b + $c we used before, but give it a bit of context:
$b = "6XXXX"; $c = 2.3;. Where's a good place to stop and poke around?
What about pp_add, the function we examined earlier to implement the
+ operator:
(gdb) break Perl_pp_add
Breakpoint 1 at 0x46249f: file pp_hot.c, line 309.
Notice we use Perl_pp_add and not pp_add - see Internal Functions in the perlguts manpage.
With the breakpoint in place, we can run our program:
(gdb) run -e '$b = "6XXXX"; $c = 2.3; $a = $b + $c'
Lots of junk will go past as gdb reads in the relevant source files and libraries, and then:
Breakpoint 1, Perl_pp_add () at pp_hot.c:309
309 dSP; dATARGET; tryAMAGICbin(add,opASSIGN);
(gdb) step
311 dPOPTOPnnrl_ul;
(gdb)
We looked at this bit of code before, and we said that dPOPTOPnnrl_ul
arranges for two NVs to be placed into left and right - let's
slightly expand it:
#define dPOPTOPnnrl_ul NV right = POPn; \
SV *leftsv = TOPs; \
NV left = USE_LEFT(leftsv) ? SvNV(leftsv) : 0.0
POPn takes the SV from the top of the stack and obtains its NV either
directly (if SvNOK is set) or by calling the sv_2nv function.
TOPs takes the next SV from the top of the stack - yes, POPn uses
TOPs - but doesn't remove it. We then use SvNV to get the NV from
leftsv in the same way as before - yes, POPn uses SvNV.
Since we don't have an NV for $b, we'll have to use sv_2nv to
convert it. If we step again, we'll find ourselves there:
Perl_sv_2nv (sv=0xa0675d0) at sv.c:1669
1669 if (!sv)
(gdb)
We can now use Perl_sv_dump to investigate the SV:
SV = PV(0xa057cc0) at 0xa0675d0
REFCNT = 1
FLAGS = (POK,pPOK)
PV = 0xa06a510 "6XXXX"\0
CUR = 5
LEN = 6
$1 = void
We know we're going to get 6 from this, so let's finish the
subroutine:
(gdb) finish
Run till exit from #0 Perl_sv_2nv (sv=0xa0675d0) at sv.c:1671
0x462669 in Perl_pp_add () at pp_hot.c:311
311 dPOPTOPnnrl_ul;
We can also dump out this op: the current op is always stored in
PL_op, and we can dump it with Perl_op_dump. This'll give us
similar output to B::Debug.
{
13 TYPE = add ===> 14
TARG = 1
FLAGS = (SCALAR,KIDS)
{
TYPE = null ===> (12)
(was rv2sv)
FLAGS = (SCALAR,KIDS)
{
11 TYPE = gvsv ===> 12
FLAGS = (SCALAR)
GV = main::b
}
}
# finish this later #
All right, we've now had a look at how to navigate the Perl sources and
some things you'll need to know when fiddling with them. Let's now get
on and create a simple patch. Here's something Larry suggested: if a
U is the first active format during a pack, (for example,
pack "U3C8", @stuff) then the resulting string should be treated as
UTF-8 encoded.
How do we prepare to fix this up? First we locate the code in question -
the pack happens at runtime, so it's going to be in one of the pp
files. Sure enough, pp_pack is in pp.c. Since we're going to be
altering this file, let's copy it to pp.c~.
[Well, it was in pp.c when this tutorial was written. It has now been
split off with pp_unpack to its own file, pp_pack.c]
Now let's look over pp_pack: we take a pattern into pat, and then
loop over the pattern, taking each format character in turn into
datum_type. Then for each possible format character, we swallow up
the other arguments in the pattern (a field width, an asterisk, and so
on) and convert the next chunk input into the specified format, adding
it onto the output SV cat.
How do we know if the U is the first format in the pat? Well, if
we have a pointer to the start of pat then, if we see a U we can
test whether we're still at the start of the string. So, here's where
pat is set up:
STRLEN fromlen;
register char *pat = SvPVx(*++MARK, fromlen);
register char *patend = pat + fromlen;
register I32 len;
I32 datumtype;
SV *fromstr;
We'll have another string pointer in there:
STRLEN fromlen;
register char *pat = SvPVx(*++MARK, fromlen);