=head1 DESCRIPTION
B<NOTE>: this tutorial describes the new Perl threading flavour
-introduced in Perl 5.6.0 called interpreter threads, or ithreads
-for short. There is another older perl threading flavour called
-the 5.005 model, unsurprisingly for 5.005 versions of Perl.
+introduced in Perl 5.6.0 called interpreter threads, or B<ithreads>
+for short. In this model each thread runs in its own Perl interpreter,
+and any data sharing between threads must be explicit.
+
+There is another older Perl threading flavour called the 5.005 model,
+unsurprisingly for 5.005 versions of Perl. The old model is known to
+have problems, deprecated, and will probably be removed around release
+5.10. You are strongly encouraged to migrate any existing 5.005
+threads code to the new model as soon as possible.
You can see which (or neither) threading flavour you have by
running C<perl -V> and looking at the C<Platform> section.
If you have neither, you don't have any thread support built in.
If you have both, you are in trouble.
+The user-level interface to the 5.005 threads was via the L<Threads>
+class, while ithreads uses the L<threads> class. Note the change in case.
+
+=head1 Status
+
+The ithreads code has been available since Perl 5.6.0, and is considered
+stable. The user-level interface to ithreads (the L<threads> classes)
+appeared in the 5.8.0 release, and as of this time is considered stable
+although it should be treated with caution as with all new features.
=head1 What Is A Thread Anyway?
form of the pipeline model. (A version of a prime number generator is
presented later on.)
-=head1 Native threads
-
-There are several different ways to implement threads on a system. How
-threads are implemented depends both on the vendor and, in some cases,
-the version of the operating system. Often the first implementation
-will be relatively simple, but later versions of the OS will be more
-sophisticated.
-
-While the information in this section is useful, it's not necessary,
-so you can skip it if you don't feel up to it.
-
-There are three basic categories of threads: user-mode threads, kernel
-threads, and multiprocessor kernel threads.
-
-User-mode threads are threads that live entirely within a program and
-its libraries. In this model, the OS knows nothing about threads. As
-far as it's concerned, your process is just a process.
-
-This is the easiest way to implement threads, and the way most OSes
-start. The big disadvantage is that, since the OS knows nothing about
-threads, if one thread blocks they all do. Typical blocking activities
-include most system calls, most I/O, and things like sleep().
-
-Kernel threads are the next step in thread evolution. The OS knows
-about kernel threads, and makes allowances for them. The main
-difference between a kernel thread and a user-mode thread is
-blocking. With kernel threads, things that block a single thread don't
-block other threads. This is not the case with user-mode threads,
-where the kernel blocks at the process level and not the thread level.
-
-This is a big step forward, and can give a threaded program quite a
-performance boost over non-threaded programs. Threads that block
-performing I/O, for example, won't block threads that are doing other
-things. Each process still has only one thread running at once,
-though, regardless of how many CPUs a system might have.
-
-Since kernel threading can interrupt a thread at any time, they will
-uncover some of the implicit locking assumptions you may make in your
-program. For example, something as simple as C<$a = $a + 2> can behave
-unpredictably with kernel threads if $a is visible to other
-threads, as another thread may have changed $a between the time it
-was fetched on the right hand side and the time the new value is
-stored.
-
-Multiprocessor kernel threads are the final step in thread
-support. With multiprocessor kernel threads on a machine with multiple
-CPUs, the OS may schedule two or more threads to run simultaneously on
-different CPUs.
-
-This can give a serious performance boost to your threaded program,
-since more than one thread will be executing at the same time. As a
-tradeoff, though, any of those nagging synchronization issues that
-might not have shown with basic kernel threads will appear with a
-vengeance.
-
-In addition to the different levels of OS involvement in threads,
-different OSes (and different thread implementations for a particular
-OS) allocate CPU cycles to threads in different ways.
-
-Cooperative multitasking systems have running threads give up control
-if one of two things happen. If a thread calls a yield function, it
-gives up control. It also gives up control if the thread does
-something that would cause it to block, such as perform I/O. In a
-cooperative multitasking implementation, one thread can starve all the
-others for CPU time if it so chooses.
-
-Preemptive multitasking systems interrupt threads at regular intervals
-while the system decides which thread should run next. In a preemptive
-multitasking system, one thread usually won't monopolize the CPU.
-
-On some systems, there can be cooperative and preemptive threads
-running simultaneously. (Threads running with realtime priorities
-often behave cooperatively, for example, while threads running at
-normal priorities behave preemptively.)
-
-=head1 What kind of threads are perl threads?
+=head1 What kind of threads are Perl threads?
If you have experience with other thread implementations, you might
find that things aren't quite what you expect. It's very important to
However it is important to remember that Perl threads cannot magically
do things unless your operating systems threads allows it. So if your
-system blocks the entire process on sleep(), perl usually will as well.
+system blocks the entire process on sleep(), Perl usually will as well.
+
+Perl Threads Are Different.
-=head1 Threadsafe Modules
+=head1 Thread-Safe Modules
-The addition of threads has changed Perl's internals
+The addition of threads has changed Perl's internals
substantially. There are implications for people who write
-modules with XS code or external libraries. However, since the threads
-do not share data, pure Perl modules that don't interact with external
-systems should be safe. Modules that are not tagged as thread-safe should
-be tested or code reviewed before being used in production code.
+modules with XS code or external libraries. However, since perl data is
+not shared among threads by default, Perl modules stand a high chance of
+being thread-safe or can be made thread-safe easily. Modules that are not
+tagged as thread-safe should be tested or code reviewed before being used
+in production code.
Not all modules that you might use are thread-safe, and you should
always assume a module is unsafe unless the documentation says
otherwise. This includes modules that are distributed as part of the
core. Threads are a new feature, and even some of the standard
-modules aren't thread-safe. (*** I think ActiveState checked this for
-psuedofork, check with GSAR)
+modules aren't thread-safe.
-Even if a module is threadsafe, it doesn't mean that the module is optimized
+Even if a module is thread-safe, it doesn't mean that the module is optimized
to work well with threads. A module could possibly be rewritten to utilize
the new features in threaded Perl to increase performance in a threaded
environment.
If you're using a module that's not thread-safe for some reason, you
-can protect yourself by using semaphores and lots of programming
-discipline to control access to the module. Semaphores are covered
-later in the article. Perl Threads Are Different
+can protect yourself by using it from one, and only one thread at all.
+If you need multiple threads to access such a module, you can use semaphores and
+lots of programming discipline to control access to it. Semaphores
+are covered in L</"Basic semaphores">.
+
+See also L</"Thread-Safety of System Libraries">.
=head1 Thread Basics
enabled. If your program can't run without them, you can say something
like:
- $Config{useithreads} or die "Recompile Perl with threads to run this program.";
+ $Config{useithreads} or die "Recompile Perl with threads to run this program.";
A possibly-threaded program using a possibly-threaded module might
have code like this:
- use Config;
- use MyMod;
-
- if ($Config{useithreads}) {
- # We have threads
- require MyMod_threaded;
- import MyMod_threaded;
- } else {
- require MyMod_unthreaded;
- import MyMod_unthreaded;
- }
+ use Config;
+ use MyMod;
+
+ BEGIN {
+ if ($Config{useithreads}) {
+ # We have threads
+ require MyMod_threaded;
+ import MyMod_threaded;
+ } else {
+ require MyMod_unthreaded;
+ import MyMod_unthreaded;
+ }
+ }
Since code that runs both with and without threads is usually pretty
messy, it's best to isolate the thread-specific code in its own
module. In our example above, that's what MyMod_threaded is, and it's
only imported if we're running on a threaded Perl.
+=head2 A Note about the Examples
+
+Although thread support is considered to be stable, there are still a number
+of quirks that may startle you when you try out any of the examples below.
+In a real situation, care should be taken that all threads are finished
+executing before the program exits. That care has B<not> been taken in these
+examples in the interest of simplicity. Running these examples "as is" will
+produce error messages, usually caused by the fact that there are still
+threads running when the program exits. You should not be alarmed by this.
+Future versions of Perl may fix this problem.
+
=head2 Creating Threads
The L<threads> package provides the tools you need to create new
-threads. Like any other module, you need to tell Perl you want to use
+threads. Like any other module, you need to tell Perl that you want to use
it; C<use threads> imports all the pieces you need to create basic
threads.
-The simplest, straightforward way to create a thread is with new():
+The simplest, most straightforward way to create a thread is with new():
use threads;
part of the C<threads::new> call, like this:
use threads;
+
$Param3 = "foo";
$thr = threads->new(\&sub1, "Param 1", "Param 2", $Param3);
$thr = threads->new(\&sub1, @ParamList);
- $thr = threads->new(\&sub1, qw(Param1 Param2 $Param3));
+ $thr = threads->new(\&sub1, qw(Param1 Param2 Param3));
sub sub1 {
my @InboundParameters = @_;
the same subroutine, but in a separate thread with a separate
environment and potentially separate arguments.
-=head2 Giving up control
-
-There are times when you may find it useful to have a thread
-explicitly give up the CPU to another thread. Your threading package
-might not support preemptive multitasking for threads, for example, or
-you may be doing something compute-intensive and want to make sure
-that the user-interface thread gets called frequently. Regardless,
-there are times that you might want a thread to give up the processor.
-
-Perl's threading package provides the yield() function that does
-this. yield() is pretty straightforward, and works like this:
-
- use threads;
-
- sub loop {
- my $thread = shift;
- my $foo = 50;
- while($foo--) { print "in thread $thread\n" }
- threads->yield();
- $foo = 50;
- while($foo--) { print "in thread $thread\n" }
- }
-
- my $thread1 = threads->new(\&loop, 'first');
- my $thread2 = threads->new(\&loop, 'second');
- my $thread3 = threads->new(\&loop, 'third');
-
-It is important to remember that yield() is only a hint to give up the CPU,
-it depends on your hardware, OS and threading libraries what actually happens.
-Therefore it is important to note that one should not build the scheduling of
-the threads around yield() calls. It might work on your platform but it won't
-work on another platform.
+C<create()> is a synonym for C<new()>.
=head2 Waiting For A Thread To Exit
use the join() method:
use threads;
+
$thr = threads->new(\&sub1);
@ReturnData = $thr->join;
important, especially for long-running programs that spawn lots of
threads. If you don't want the return values and don't want to wait
for the thread to finish, you should call the detach() method
-instead. detach() is covered later in the article.
+instead, as described next.
=head2 Ignoring A Thread
automatically.
use threads;
+
$thr = threads->new(\&sub1); # Spawn the thread
$thr->detach; # Now we officially don't care any more
- sub sub1 {
+ sub sub1 {
$a = 0;
while (1) {
$a++;
}
}
-
-Once a thread is detached, it may not be joined, and any output that
-it might have produced (if it was done and waiting for a join) is
+Once a thread is detached, it may not be joined, and any return data
+that it might have produced (if it was done and waiting for a join) is
lost.
=head1 Threads And Data
=head2 Shared And Unshared Data
-The biggest difference between perl threading and the old 5.005 style
-threading, or most other threading systems out there, is that all data
-is not shared. When a new perl thread is created all data is cloned
-and is private to that thread!
+The biggest difference between Perl ithreads and the old 5.005 style
+threading, or for that matter, to most other threading systems out there,
+is that by default, no data is shared. When a new perl thread is created,
+all the data associated with the current thread is copied to the new
+thread, and is subsequently private to that new thread!
+This is similar in feel to what happens when a UNIX process forks,
+except that in this case, the data is just copied to a different part of
+memory within the same process rather than a real fork taking place.
+
+To make use of threading however, one usually wants the threads to share
+at least some data between themselves. This is done with the
+L<threads::shared> module and the C< : shared> attribute:
+
+ use threads;
+ use threads::shared;
+
+ my $foo : shared = 1;
+ my $bar = 1;
+ threads->new(sub { $foo++; $bar++ })->join;
+
+ print "$foo\n"; #prints 2 since $foo is shared
+ print "$bar\n"; #prints 1 since $bar is not shared
+
+In the case of a shared array, all the array's elements are shared, and for
+a shared hash, all the keys and values are shared. This places
+restrictions on what may be assigned to shared array and hash elements: only
+simple values or references to shared variables are allowed - this is
+so that a private variable can't accidentally become shared. A bad
+assignment will cause the thread to die. For example:
+
+ use threads;
+ use threads::shared;
+
+ my $var = 1;
+ my $svar : shared = 2;
+ my %hash : shared;
+
+ ... create some threads ...
-To make use of threading however, one usually want the threads to share
-data between each other. This is done with the L<threads::shared> module
-and the C< : shared> attribute:
+ $hash{a} = 1; # all threads see exists($hash{a}) and $hash{a} == 1
+ $hash{a} = $var # okay - copy-by-value: same effect as previous
+ $hash{a} = $svar # okay - copy-by-value: same effect as previous
+ $hash{a} = \$svar # okay - a reference to a shared variable
+ $hash{a} = \$var # This will die
+ delete $hash{a} # okay - all threads will see !exists($hash{a})
- use threads;
- use threads::shared;
- my $foo : shared = 1;
- my $bar = 1;
- threads->new(sub { $foo++; $bar++ })->join;
-
- print "$foo\n"; #prints 2 since $foo is shared
- print "$bar\n"; #prints 1 since $bar is not shared
+Note that a shared variable guarantees that if two or more threads try to
+modify it at the same time, the internal state of the variable will not
+become corrupted. However, there are no guarantees beyond this, as
+explained in the next section.
=head2 Thread Pitfalls: Races
use threads;
use threads::shared;
+
my $a : shared = 1;
$thr1 = threads->new(\&sub1);
$thr2 = threads->new(\&sub2);
$thr2->join;
print "$a\n";
- sub sub1 { $foo = $a; $a = $foo + 1; }
- sub sub2 { $bar = $a; $a = $bar + 1; }
+ sub sub1 { my $foo = $a; $a = $foo + 1; }
+ sub sub2 { my $bar = $a; $a = $bar + 1; }
What do you think $a will be? The answer, unfortunately, is "it
depends." Both sub1() and sub2() access the global variable $a, once
my $c : shared;
my $thr1 = threads->create(sub { $b = $a; $a = $b + 1; });
my $thr2 = threads->create(sub { $c = $a; $a = $c + 1; });
- $thr1->join();
- $thr2->join();
+ $thr1->join;
+ $thr2->join;
Two threads both access $a. Each thread can potentially be interrupted
at any point, or be executed in any order. At the end, $a could be 3
or 4, and both $b and $c could be 2 or 3.
+Even C<$a += 5> or C<$a++> are not guaranteed to be atomic.
+
Whenever your program accesses data or resources that can be accessed
by other threads, you must take steps to coordinate access or risk
-data corruption and race conditions.
+data inconsistency and race conditions. Note that Perl will protect its
+internals from your race conditions, but it won't protect you from you.
+
+=head1 Synchronization and control
+
+Perl provides a number of mechanisms to coordinate the interactions
+between themselves and their data, to avoid race conditions and the like.
+Some of these are designed to resemble the common techniques used in thread
+libraries such as C<pthreads>; others are Perl-specific. Often, the
+standard techniques are clumsy and difficult to get right (such as
+condition waits). Where possible, it is usually easier to use Perlish
+techniques such as queues, which remove some of the hard work involved.
=head2 Controlling access: lock()
The lock() function takes a shared variable and puts a lock on it.
-No other thread may lock the variable until the locking thread exits
-the innermost block containing the lock.
-Using lock() is straightforward:
+No other thread may lock the variable until the variable is unlocked
+by the thread holding the lock. Unlocking happens automatically
+when the locking thread exits the outermost block that contains
+C<lock()> function. Using lock() is straightforward: this example has
+several threads doing some calculations in parallel, and occasionally
+updating a running total:
+
+ use threads;
+ use threads::shared;
+
+ my $total : shared = 0;
+
+ sub calc {
+ for (;;) {
+ my $result;
+ # (... do some calculations and set $result ...)
+ {
+ lock($total); # block until we obtain the lock
+ $total += $result;
+ } # lock implicitly released at end of scope
+ last if $result == 0;
+ }
+ }
+
+ my $thr1 = threads->new(\&calc);
+ my $thr2 = threads->new(\&calc);
+ my $thr3 = threads->new(\&calc);
+ $thr1->join;
+ $thr2->join;
+ $thr3->join;
+ print "total=$total\n";
- use threads;
- my $a : shared = 4;
- $thr1 = threads->new(sub {
- $foo = 12;
- {
- lock ($a); # Block until we get access to $a
- $b = $a;
- $a = $b * $foo;
- }
- print "\$foo was $foo\n";
- });
- $thr2 = threads->new(sub {
- $bar = 7;
- {
- lock ($a); # Block until we can get access to $a
- $c = $a;
- $a = $c * $bar;
- }
- print "\$bar was $bar\n";
- });
- $thr1->join;
- $thr2->join;
- print "\$a is $a\n";
lock() blocks the thread until the variable being locked is
available. When lock() returns, your thread can be sure that no other
-thread can lock that variable until the innermost block containing the
+thread can lock that variable until the outermost block containing the
lock exits.
It's important to note that locks don't prevent access to the variable
though, will not block subsequent locks on array elements, just lock
attempts on the array itself.
-Finally, locks are recursive, which means it's okay for a thread to
+Locks are recursive, which means it's okay for a thread to
lock a variable more than once. The lock will last until the outermost
-lock() on the variable goes out of scope.
+lock() on the variable goes out of scope. For example:
+
+ my $x : shared;
+ doit();
+
+ sub doit {
+ {
+ {
+ lock($x); # wait for lock
+ lock($x); # NOOP - we already have the lock
+ {
+ lock($x); # NOOP
+ {
+ lock($x); # NOOP
+ lockit_some_more();
+ }
+ }
+ } # *** implicit unlock here ***
+ }
+ }
+
+ sub lockit_some_more {
+ lock($x); # NOOP
+ } # nothing happens here
+
+Note that there is no unlock() function - the only way to unlock a
+variable is to allow it to go out of scope.
-=head2 Thread Pitfall: Deadlocks
+A lock can either be used to guard the data contained within the variable
+being locked, or it can be used to guard something else, like a section
+of code. In this latter case, the variable in question does not hold any
+useful data, and exists only for the purpose of being locked. In this
+respect, the variable behaves like the mutexes and basic semaphores of
+traditional thread libraries.
-Locks are a handy tool to synchronize access to data. Using them
+=head2 A Thread Pitfall: Deadlocks
+
+Locks are a handy tool to synchronize access to data, and using them
properly is the key to safe shared data. Unfortunately, locks aren't
-without their dangers. Consider the following code:
+without their dangers, especially when multiple locks are involved.
+Consider the following code:
use threads;
+
my $a : shared = 4;
my $b : shared = "foo";
my $thr1 = threads->new(sub {
lock($a);
- yield;
sleep 20;
- lock ($b);
+ lock($b);
});
my $thr2 = threads->new(sub {
lock($b);
- yield;
sleep 20;
- lock ($a);
+ lock($a);
});
This program will probably hang until you kill it. The only way it
-won't hang is if one of the two async() routines acquires both locks
+won't hang is if one of the two threads acquires both locks
first. A guaranteed-to-hang version is more complicated, but the
principle is the same.
-The first thread spawned by async() will grab a lock on $a then, a
-second or two later, try to grab a lock on $b. Meanwhile, the second
-thread grabs a lock on $b, then later tries to grab a lock on $a. The
-second lock attempt for both threads will block, each waiting for the
-other to release its lock.
+The first thread will grab a lock on $a, then, after a pause during which
+the second thread has probably had time to do some work, try to grab a
+lock on $b. Meanwhile, the second thread grabs a lock on $b, then later
+tries to grab a lock on $a. The second lock attempt for both threads will
+block, each waiting for the other to release its lock.
This condition is called a deadlock, and it occurs whenever two or
more threads are trying to get locks on resources that the others
$a before $b, and $b before $c. It's also best to hold on to locks for
as short a period of time to minimize the risks of deadlock.
+The other synchronization primitives described below can suffer from
+similar problems.
+
=head2 Queues: Passing Data Around
A queue is a special thread-safe object that lets you put data in one
this:
use threads;
- use threads::shared::queue;
+ use Thread::Queue;
- my $DataQueue = new threads::shared::queue;
+ my $DataQueue = Thread::Queue->new;
$thr = threads->new(sub {
while ($DataElement = $DataQueue->dequeue) {
print "Popped $DataElement off the queue\n";
$DataQueue->enqueue(\$thr);
sleep 10;
$DataQueue->enqueue(undef);
- $thr->join();
+ $thr->join;
-You create the queue with C<new threads::shared::queue>. Then you can
+You create the queue with C<new Thread::Queue>. Then you can
add lists of scalars onto the end with enqueue(), and pop scalars off
the front of it with dequeue(). A queue has no fixed size, and can grow
as needed to hold everything pushed on to it.
something. This makes queues ideal for event loops and other
communications between threads.
-
-=head1 Threads And Code
-
-In addition to providing thread-safe access to data via locks and
-queues, threaded Perl also provides general-purpose semaphores for
-coarser synchronization than locks provide and thread-safe access to
-entire subroutines.
-
=head2 Semaphores: Synchronizing Data Access
-Semaphores are a kind of generic locking mechanism. Unlike lock, which
-gets a lock on a particular scalar, Perl doesn't associate any
-particular thing with a semaphore so you can use them to control
-access to anything you like. In addition, semaphores can allow more
-than one thread to access a resource at once, though by default
-semaphores only allow one thread access at a time.
-
-=over 4
+Semaphores are a kind of generic locking mechanism. In their most basic
+form, they behave very much like lockable scalars, except that thay
+can't hold data, and that they must be explicitly unlocked. In their
+advanced form, they act like a kind of counter, and can allow multiple
+threads to have the 'lock' at any one time.
-=item Basic semaphores
+=head2 Basic semaphores
-Semaphores have two methods, down and up. down decrements the resource
-count, while up increments it. down calls will block if the
+Semaphores have two methods, down() and up(): down() decrements the resource
+count, while up increments it. Calls to down() will block if the
semaphore's current count would decrement below zero. This program
gives a quick demonstration:
- use threads qw(yield);
- use threads::shared::semaphore;
- my $semaphore = new threads::shared::semaphore;
- $GlobalVariable = 0;
+ use threads;
+ use Thread::Semaphore;
+
+ my $semaphore = new Thread::Semaphore;
+ my $GlobalVariable : shared = 0;
$thr1 = new threads \&sample_sub, 1;
$thr2 = new threads \&sample_sub, 2;
$semaphore->down;
$LocalCopy = $GlobalVariable;
print "$TryCount tries left for sub $SubNumber (\$GlobalVariable is $GlobalVariable)\n";
- yield;
sleep 2;
$LocalCopy++;
$GlobalVariable = $LocalCopy;
}
}
- $thr1->join();
- $thr2->join();
- $thr3->join();
+ $thr1->join;
+ $thr2->join;
+ $thr3->join;
The three invocations of the subroutine all operate in sync. The
semaphore, though, makes sure that only one thread is accessing the
global variable at once.
-=item Advanced Semaphores
+=head2 Advanced Semaphores
By default, semaphores behave like locks, letting only one thread
down() them at a time. However, there are other uses for semaphores.
of these defaults simply by passing in different values:
use threads;
- use threads::shared::semaphore;
- my $semaphore = threads::shared::semaphore->new(5);
+ use Thread::Semaphore;
+ my $semaphore = Thread::Semaphore->new(5);
# Creates a semaphore with the counter set to five
$thr1 = threads->new(\&sub1);
$semaphore->up(5); # Increment the counter by five
}
- $thr1->detach();
- $thr2->detach();
+ $thr1->detach;
+ $thr2->detach;
If down() attempts to decrement the counter below zero, it blocks until
the counter is large enough. Note that while a semaphore can be created
Larger increments or decrements are handy in those cases where a
thread needs to check out or return a number of resources at once.
-=back
+=head2 cond_wait() and cond_signal()
+
+These two functions can be used in conjunction with locks to notify
+co-operating threads that a resource has become available. They are
+very similar in use to the functions found in C<pthreads>. However
+for most purposes, queues are simpler to use and more intuitive. See
+L<threads::shared> for more details.
+
+=head2 Giving up control
+
+There are times when you may find it useful to have a thread
+explicitly give up the CPU to another thread. You may be doing something
+processor-intensive and want to make sure that the user-interface thread
+gets called frequently. Regardless, there are times that you might want
+a thread to give up the processor.
+
+Perl's threading package provides the yield() function that does
+this. yield() is pretty straightforward, and works like this:
+
+ use threads;
+
+ sub loop {
+ my $thread = shift;
+ my $foo = 50;
+ while($foo--) { print "in thread $thread\n" }
+ threads->yield;
+ $foo = 50;
+ while($foo--) { print "in thread $thread\n" }
+ }
+
+ my $thread1 = threads->new(\&loop, 'first');
+ my $thread2 = threads->new(\&loop, 'second');
+ my $thread3 = threads->new(\&loop, 'third');
+
+It is important to remember that yield() is only a hint to give up the CPU,
+it depends on your hardware, OS and threading libraries what actually happens.
+B<On many operating systems, yield() is a no-op.> Therefore it is important
+to note that one should not build the scheduling of the threads around
+yield() calls. It might work on your platform but it won't work on another
+platform.
=head1 General Thread Utility Routines
=head2 What Thread Am I In?
-The C<threads->self> method provides your program with a way to get an
-object representing the thread it's currently in. You can use this
+The C<< threads->self >> class method provides your program with a way to
+get an object representing the thread it's currently in. You can use this
object in the same way as the ones returned from thread creation.
=head2 Thread IDs
=head2 What Threads Are Running?
-threads->list returns a list of thread objects, one for each thread
+C<< threads->list >> returns a list of thread objects, one for each thread
that's currently running and not detached. Handy for a number of things,
including cleaning up at the end of your program:
}
}
-If some threads have not finished running when the main perl thread
-ends, perl will warn you about it and die, since it is impossible for perl
+If some threads have not finished running when the main Perl thread
+ends, Perl will warn you about it and die, since it is impossible for Perl
to clean up itself while other threads are running
=head1 A Complete Example
4 use strict;
5
6 use threads;
- 7 use threads::shared::queue;
+ 7 use Thread::Queue;
8
- 9 my $stream = new threads::shared::queue;
+ 9 my $stream = new Thread::Queue;
10 my $kid = new threads(\&check_num, $stream, 2);
11
12 for my $i ( 3 .. 1000 ) {
14 }
15
16 $stream->enqueue(undef);
- 17 $kid->join();
+ 17 $kid->join;
18
19 sub check_num {
20 my ($upstream, $cur_prime) = @_;
21 my $kid;
- 22 my $downstream = new threads::shared::queue;
+ 22 my $downstream = new Thread::Queue;
23 while (my $num = $upstream->dequeue) {
24 next unless $num % $cur_prime;
25 if ($kid) {
30 }
31 }
32 $downstream->enqueue(undef) if $kid;
- 33 $kid->join() if $kid;
+ 33 $kid->join if $kid;
34 }
This program uses the pipeline model to generate prime numbers. Each
thread in the pipeline has an input queue that feeds numbers to be
checked, a prime number that it's responsible for, and an output queue
-that into which it funnels numbers that have failed the check. If the thread
+into which it funnels numbers that have failed the check. If the thread
has a number that's failed its check and there's no child thread, then
the thread must have found a new prime number. In that case, a new
child thread is created for that prime and stuck on the end of the
That's how it works. It's pretty simple; as with many Perl programs,
the explanation is much longer than the program.
+=head1 Different implementations of threads
+
+Some background on thread implementations from the operating system
+viewpoint. There are three basic categories of threads: user-mode threads,
+kernel threads, and multiprocessor kernel threads.
+
+User-mode threads are threads that live entirely within a program and
+its libraries. In this model, the OS knows nothing about threads. As
+far as it's concerned, your process is just a process.
+
+This is the easiest way to implement threads, and the way most OSes
+start. The big disadvantage is that, since the OS knows nothing about
+threads, if one thread blocks they all do. Typical blocking activities
+include most system calls, most I/O, and things like sleep().
+
+Kernel threads are the next step in thread evolution. The OS knows
+about kernel threads, and makes allowances for them. The main
+difference between a kernel thread and a user-mode thread is
+blocking. With kernel threads, things that block a single thread don't
+block other threads. This is not the case with user-mode threads,
+where the kernel blocks at the process level and not the thread level.
+
+This is a big step forward, and can give a threaded program quite a
+performance boost over non-threaded programs. Threads that block
+performing I/O, for example, won't block threads that are doing other
+things. Each process still has only one thread running at once,
+though, regardless of how many CPUs a system might have.
+
+Since kernel threading can interrupt a thread at any time, they will
+uncover some of the implicit locking assumptions you may make in your
+program. For example, something as simple as C<$a = $a + 2> can behave
+unpredictably with kernel threads if $a is visible to other
+threads, as another thread may have changed $a between the time it
+was fetched on the right hand side and the time the new value is
+stored.
+
+Multiprocessor kernel threads are the final step in thread
+support. With multiprocessor kernel threads on a machine with multiple
+CPUs, the OS may schedule two or more threads to run simultaneously on
+different CPUs.
+
+This can give a serious performance boost to your threaded program,
+since more than one thread will be executing at the same time. As a
+tradeoff, though, any of those nagging synchronization issues that
+might not have shown with basic kernel threads will appear with a
+vengeance.
+
+In addition to the different levels of OS involvement in threads,
+different OSes (and different thread implementations for a particular
+OS) allocate CPU cycles to threads in different ways.
+
+Cooperative multitasking systems have running threads give up control
+if one of two things happen. If a thread calls a yield function, it
+gives up control. It also gives up control if the thread does
+something that would cause it to block, such as perform I/O. In a
+cooperative multitasking implementation, one thread can starve all the
+others for CPU time if it so chooses.
+
+Preemptive multitasking systems interrupt threads at regular intervals
+while the system decides which thread should run next. In a preemptive
+multitasking system, one thread usually won't monopolize the CPU.
+
+On some systems, there can be cooperative and preemptive threads
+running simultaneously. (Threads running with realtime priorities
+often behave cooperatively, for example, while threads running at
+normal priorities behave preemptively.)
+
+Most modern operating systems support preemptive multitasking nowadays.
+
+=head1 Performance considerations
+
+The main thing to bear in mind when comparing ithreads to other threading
+models is the fact that for each new thread created, a complete copy of
+all the variables and data of the parent thread has to be taken. Thus
+thread creation can be quite expensive, both in terms of memory usage and
+time spent in creation. The ideal way to reduce these costs is to have a
+relatively short number of long-lived threads, all created fairly early
+on - before the base thread has accumulated too much data. Of course, this
+may not always be possible, so compromises have to be made. However, after
+a thread has been created, its performance and extra memory usage should
+be little different than ordinary code.
+
+Also note that under the current implementation, shared variables
+use a little more memory and are a little slower than ordinary variables.
+
+=head1 Process-scope Changes
+
+Note that while threads themselves are separate execution threads and
+Perl data is thread-private unless explicitly shared, the threads can
+affect process-scope state, affecting all the threads.
+
+The most common example of this is changing the current working
+directory using chdir(). One thread calls chdir(), and the working
+directory of all the threads changes.
+
+Even more drastic example of a process-scope change is chroot():
+the root directory of all the threads changes, and no thread can
+undo it (as opposed to chdir()).
+
+Further examples of process-scope changes include umask() and
+changing uids/gids.
+
+Thinking of mixing fork() and threads? Please lie down and wait
+until the feeling passes-- but in case you really want to know,
+the semantics is that fork() duplicates all the threads.
+(In UNIX, at least, other platforms will do something different.)
+
+Similarly, mixing signals and threads should not be attempted.
+Implementations are platform-dependent, and even the POSIX
+semantics may not be what you expect (and Perl doesn't even
+give you the full POSIX API).
+
+=head1 Thread-Safety of System Libraries
+
+Whether various library calls are thread-safe is outside the control
+of Perl. Calls often suffering from not being thread-safe include:
+localtime(), gmtime(), get{gr,host,net,proto,serv,pw}*(), readdir(),
+rand(), and srand() -- in general, calls that depend on some global
+external state.
+
+If the system Perl is compiled in has thread-safe variants of such
+calls, they will be used. Beyond that, Perl is at the mercy of
+the thread-safety or -unsafety of the calls. Please consult your
+C library call documentation.
+
+On some platforms the thread-safe library interfaces may fail if the
+result buffer is too small (for example the user group databases may
+be rather large, and the reentrant interfaces may have to carry around
+a full snapshot of those databases). Perl will start with a small
+buffer, but keep retrying and growing the result buffer
+until the result fits. If this limitless growing sounds bad for
+security or memory consumption reasons you can recompile Perl with
+PERL_REENTRANT_MAXSIZE defined to the maximum number of bytes you will
+allow.
+
=head1 Conclusion
A complete thread tutorial could fill a book (and has, many times),
Arnold, Ken and James Gosling. The Java Programming Language, 2nd
ed. Addison-Wesley, 1998, ISBN 0-201-31006-6.
+comp.programming.threads FAQ,
+L<http://www.serpentine.com/~bos/threads-faq/>
+
Le Sergent, T. and B. Berthomieu. "Incremental MultiThreaded Garbage
Collection on Virtually Shared Memory Architectures" in Memory
Management: Proc. of the International Workshop IWMM 92, St. Malo,
France, September 1992, Yves Bekkers and Jacques Cohen, eds. Springer,
1992, ISBN 3540-55940-X (real-life thread applications).
+Artur Bergman, "Where Wizards Fear To Tread", June 11, 2002,
+L<http://www.perl.com/pub/a/2002/06/11/threads.html>
+
=head1 Acknowledgements
Thanks (in no particular order) to Chaim Frenkel, Steve Fink, Gurusamy
=head1 AUTHOR
-Dan Sugalski E<lt>sugalskd@ous.eduE<gt>
+Dan Sugalski E<lt>dan@sidhe.org<gt>
Slightly modified by Arthur Bergman to fit the new thread model/module.
-=head1 Copyrights
+Reworked slightly by Jörg Walter E<lt>jwalt@cpan.org<gt> to be more concise
+about thread-safety of perl code.
-This article originally appeared in The Perl Journal #10, and is
-copyright 1998 The Perl Journal. It appears courtesy of Jon Orwant and
-The Perl Journal. This document may be distributed under the same terms
-as Perl itself.
+Rearranged slightly by Elizabeth Mattijsen E<lt>liz@dijkmat.nl<gt> to put
+less emphasis on yield().
+=head1 Copyrights
-For more information please see L<threads> and L<threads::shared>.
+The original version of this article originally appeared in The Perl
+Journal #10, and is copyright 1998 The Perl Journal. It appears courtesy
+of Jon Orwant and The Perl Journal. This document may be distributed
+under the same terms as Perl itself.
+For more information please see L<threads> and L<threads::shared>.
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