Provided by: libmce-perl_1.608-1_all 
NAME
MCE::Step - Parallel step model for building creative steps
VERSION
This document describes MCE::Step version 1.608
DESCRIPTION
MCE::Step is similar to MCE::Flow for writing custom apps. The main difference comes from the
transparent use of queues between sub-tasks.
It is trivial to parallelize with mce_stream shown below.
## Native map function
my @a = map { $_ * 4 } map { $_ * 3 } map { $_ * 2 } 1..10000;
## Same as with MCE::Stream (processing from right to left)
@a = mce_stream
sub { $_ * 4 }, sub { $_ * 3 }, sub { $_ * 2 }, 1..10000;
## Pass an array reference to have writes occur simultaneously
mce_stream \@a,
sub { $_ * 4 }, sub { $_ * 3 }, sub { $_ * 2 }, 1..10000;
However, let's have MCE::Step compute the same in parallel. Unlike the example in MCE::Flow, the use of
MCE::Queue is totally transparent.
use MCE::Step;
This calls for preserving output order.
sub preserve_order {
my %tmp; my $order_id = 1; my $gather_ref = $_[0];
@{ $gather_ref } = (); ## clear the array (optional)
return sub {
my ($data_ref, $chunk_id) = @_;
$tmp{$chunk_id} = $data_ref;
while (1) {
last unless exists $tmp{$order_id};
push @{ $gather_ref }, @{ delete $tmp{$order_id++} };
}
return;
};
}
Next are the 3 sub-tasks. Compare these 3 sub-tasks with the same as described in MCE::Flow. The call to
MCE->step simplifies the passing of data into the next sub-task.
sub task_a {
my @ans; my ($mce, $chunk_ref, $chunk_id) = @_;
push @ans, map { $_ * 2 } @{ $chunk_ref };
MCE->step(\@ans, $chunk_id);
}
sub task_b {
my @ans; my ($mce, $chunk_ref, $chunk_id) = @_;
push @ans, map { $_ * 3 } @{ $chunk_ref };
MCE->step(\@ans, $chunk_id);
}
sub task_c {
my @ans; my ($mce, $chunk_ref, $chunk_id) = @_;
push @ans, map { $_ * 4 } @{ $chunk_ref };
MCE->gather(\@ans, $chunk_id);
}
In summary, MCE::Step builds out a MCE instance behind the scene and starts running. Both task_name and
max_workers (not shown) can take an anonymous array for specifying the values uniquely for each sub-task.
my @a;
mce_step {
task_name => [ 'a', 'b', 'c' ],
gather => preserve_order(\@a)
}, \&task_a, \&task_b, \&task_c, 1..10000;
print "@a\n";
STEP DEMO
In the demonstration below, one may call ->gather or ->step any number of times although ->step is not
allowed in the last sub-block. Data is gathered to @arr which may likely be out-of-order. Gathering data
is optional. All sub-blocks receive $mce as the first argument.
First, defining 3 sub-tasks.
use MCE::Step;
sub task_a {
my ($mce, $chunk_ref, $chunk_id) = @_;
if ($_ % 2 == 0) {
MCE->gather($_);
# MCE->gather($_ * 4); ## Ok to gather multiple times
}
else {
MCE->print("a step: $_, $_ * $_\n");
MCE->step($_, $_ * $_);
# MCE->step($_, $_ * 4 ); ## Ok to step multiple times
}
}
sub task_b {
my ($mce, $arg1, $arg2) = @_;
MCE->print("b args: $arg1, $arg2\n");
if ($_ % 3 == 0) { ## $_ is the same as $arg1
MCE->gather($_);
}
else {
MCE->print("b step: $_ * $_\n");
MCE->step($_ * $_);
}
}
sub task_c {
my ($mce, $arg1) = @_;
MCE->print("c: $_\n");
MCE->gather($_);
}
Next, pass MCE options, using chunk_size 1, and run all 3 tasks in parallel. Notice how max_workers can
take an anonymous array, similarly to task_name.
my @arr = mce_step {
task_name => [ 'a', 'b', 'c' ],
max_workers => [ 2, 2, 2 ],
chunk_size => 1
}, \&task_a, \&task_b, \&task_c, 1..10;
Finally, sort the array and display its contents.
@arr = sort { $a <=> $b } @arr;
print "\n@arr\n\n";
-- Output
a step: 1, 1 * 1
a step: 3, 3 * 3
a step: 5, 5 * 5
a step: 7, 7 * 7
a step: 9, 9 * 9
b args: 1, 1
b step: 1 * 1
b args: 3, 9
b args: 7, 49
b step: 7 * 7
b args: 5, 25
b step: 5 * 5
b args: 9, 81
c: 1
c: 49
c: 25
1 2 3 4 6 8 9 10 25 49
SYNOPSIS when CHUNK_SIZE EQUALS 1
Although MCE::Loop may be preferred for running using a single code block, the text below also applies to
this module, particularly for the first block.
All models in MCE default to 'auto' for chunk_size. The arguments for the block are the same as writing a
user_func block using the Core API.
Beginning with MCE 1.5, the next input item is placed into the input scalar variable $_ when chunk_size
equals 1. Otherwise, $_ points to $chunk_ref containing many items. Basically, line 2 below may be
omitted from your code when using $_. One can call MCE->chunk_id to obtain the current chunk id.
line 1: user_func => sub {
line 2: my ($mce, $chunk_ref, $chunk_id) = @_;
line 3:
line 4: $_ points to $chunk_ref->[0]
line 5: in MCE 1.5 when chunk_size == 1
line 6:
line 7: $_ points to $chunk_ref
line 8: in MCE 1.5 when chunk_size > 1
line 9: }
Follow this synopsis when chunk_size equals one. Looping is not required from inside the first block.
Hence, the block is called once per each item.
## Exports mce_step, mce_step_f, and mce_step_s
use MCE::Step;
MCE::Step::init {
chunk_size => 1
};
## Array or array_ref
mce_step sub { do_work($_) }, 1..10000;
mce_step sub { do_work($_) }, [ 1..10000 ];
## File_path, glob_ref, or scalar_ref
mce_step_f sub { chomp; do_work($_) }, "/path/to/file";
mce_step_f sub { chomp; do_work($_) }, $file_handle;
mce_step_f sub { chomp; do_work($_) }, \$scalar;
## Sequence of numbers (begin, end [, step, format])
mce_step_s sub { do_work($_) }, 1, 10000, 5;
mce_step_s sub { do_work($_) }, [ 1, 10000, 5 ];
mce_step_s sub { do_work($_) }, {
begin => 1, end => 10000, step => 5, format => undef
};
SYNOPSIS when CHUNK_SIZE is GREATER THAN 1
Follow this synopsis when chunk_size equals 'auto' or greater than 1. This means having to loop through
the chunk from inside the first block.
use MCE::Step;
MCE::Step::init { ## Chunk_size defaults to 'auto' when
chunk_size => 'auto' ## not specified. Therefore, the init
}; ## function may be omitted.
## Syntax is shown for mce_step for demonstration purposes.
## Looping inside the block is the same for mce_step_f and
## mce_step_s.
mce_step sub { do_work($_) for (@{ $_ }) }, 1..10000;
## Same as above, resembles code using the Core API.
mce_step sub {
my ($mce, $chunk_ref, $chunk_id) = @_;
for (@{ $chunk_ref }) {
do_work($_);
}
}, 1..10000;
Chunking reduces the number of IPC calls behind the scene. Think in terms of chunks whenever processing a
large amount of data. For relatively small data, choosing 1 for chunk_size is fine.
OVERRIDING DEFAULTS
The following list 6 options which may be overridden when loading the module.
use Sereal qw( encode_sereal decode_sereal );
use CBOR::XS qw( encode_cbor decode_cbor );
use JSON::XS qw( encode_json decode_json );
use MCE::Step
max_workers => 8, ## Default 'auto'
chunk_size => 500, ## Default 'auto'
fast => 1, ## Default 0 (fast queue?)
tmp_dir => "/path/to/app/tmp", ## $MCE::Signal::tmp_dir
freeze => \&encode_sereal, ## \&Storable::freeze
thaw => \&decode_sereal ## \&Storable::thaw
;
There is a simpler way to enable Sereal with MCE 1.5. The following will attempt to use Sereal if
available, otherwise defaults to Storable for serialization.
use MCE::Step Sereal => 1;
MCE::Step::init {
chunk_size => 1
};
## Serialization is by the Sereal module if available.
my %answer = mce_step sub { MCE->gather( $_, sqrt $_ ) }, 1..10000;
CUSTOMIZING MCE
MCE::Step->init ( options )
MCE::Step::init { options }
The init function accepts a hash of MCE options. Unlike with MCE::Stream, both gather and bounds_only
options may be specified when calling init (not shown below).
use MCE::Step;
MCE::Step::init {
chunk_size => 1, max_workers => 4,
user_begin => sub {
print "## ", MCE->wid, " started\n";
},
user_end => sub {
print "## ", MCE->wid, " completed\n";
}
};
my %a = mce_step sub { MCE->gather($_, $_ * $_) }, 1..100;
print "\n", "@a{1..100}", "\n";
-- Output
## 3 started
## 1 started
## 4 started
## 2 started
## 3 completed
## 4 completed
## 1 completed
## 2 completed
1 4 9 16 25 36 49 64 81 100 121 144 169 196 225 256 289 324 361
400 441 484 529 576 625 676 729 784 841 900 961 1024 1089 1156
1225 1296 1369 1444 1521 1600 1681 1764 1849 1936 2025 2116 2209
2304 2401 2500 2601 2704 2809 2916 3025 3136 3249 3364 3481 3600
3721 3844 3969 4096 4225 4356 4489 4624 4761 4900 5041 5184 5329
5476 5625 5776 5929 6084 6241 6400 6561 6724 6889 7056 7225 7396
7569 7744 7921 8100 8281 8464 8649 8836 9025 9216 9409 9604 9801
10000
Like with MCE::Step::init above, MCE options may be specified using an anonymous hash for the first
argument. Notice how both max_workers and task_name can take an anonymous array for setting values
uniquely for each code block.
Unlike MCE::Stream which processes from right-to-left, MCE::Step begins with the first code block, thus
processing from left-to-right.
The following takes 9 seconds to complete. The 9 seconds is from having only 2 workers assigned for the
last sub-task and waiting 1 or 2 seconds initially before calling MCE->step.
Removing both calls to MCE->step will cause the script to complete in just 1 second. The reason is due to
the 2nd and subsequent sub-tasks awaiting data from an internal queue. Workers terminate upon receiving
an undef.
use MCE::Step;
my @a = mce_step {
task_name => [ 'a', 'b', 'c' ],
max_workers => [ 3, 4, 2, ],
user_end => sub {
my ($mce, $task_id, $task_name) = @_;
MCE->print("$task_id - $task_name completed\n");
},
task_end => sub {
my ($mce, $task_id, $task_name) = @_;
MCE->print("$task_id - $task_name ended\n");
}
},
sub { sleep 1; MCE->step(""); }, ## 3 workers, named a
sub { sleep 2; MCE->step(""); }, ## 4 workers, named b
sub { sleep 3; }; ## 2 workers, named c
-- Output
0 - a completed
0 - a completed
0 - a completed
0 - a ended
1 - b completed
1 - b completed
1 - b completed
1 - b completed
1 - b ended
2 - c completed
2 - c completed
2 - c ended
API DOCUMENTATION
Although input data is optional for MCE::Step, the following assumes chunk_size equals 1 in order to
demonstrate all the possibilities of passing input data into the code block.
MCE::Step->run ( { input_data => iterator }, sub { code } )
mce_step { input_data => iterator }, sub { code }
An iterator reference can by specified for input_data. The only other way is to specify input_data via
MCE::Step::init. This prevents MCE::Step from configuring the iterator reference as another user task
which will not work.
Iterators are described under "SYNTAX for INPUT_DATA" at MCE::Core.
MCE::Step::init {
input_data => iterator
};
mce_step sub { $_ };
MCE::Step->run ( sub { code }, list )
mce_step sub { code }, list
Input data can be defined using a list.
mce_step sub { $_ }, 1..1000;
mce_step sub { $_ }, [ 1..1000 ];
MCE::Step->run_file ( sub { code }, file )
mce_step_f sub { code }, file
The fastest of these is the /path/to/file. Workers communicate the next offset position among
themselves without any interaction from the manager process.
mce_step_f sub { $_ }, "/path/to/file";
mce_step_f sub { $_ }, $file_handle;
mce_step_f sub { $_ }, \$scalar;
MCE::Step->run_seq ( sub { code }, $beg, $end [, $step, $fmt ] )
mce_step_s sub { code }, $beg, $end [, $step, $fmt ]
Sequence can be defined as a list, an array reference, or a hash reference. The functions require
both begin and end values to run. Step and format are optional. The format is passed to sprintf (% may
be omitted below).
my ($beg, $end, $step, $fmt) = (10, 20, 0.1, "%4.1f");
mce_step_s sub { $_ }, $beg, $end, $step, $fmt;
mce_step_s sub { $_ }, [ $beg, $end, $step, $fmt ];
mce_step_s sub { $_ }, {
begin => $beg, end => $end, step => $step, format => $fmt
};
The sequence engine can compute 'begin' and 'end' items only, for the chunk, and not the items in between
(hence boundaries only). This option applies to sequence only and has no effect when chunk_size equals 1.
The time to run is 0.006s below. This becomes 0.827s without the bounds_only option due to computing all
items in between, thus creating a very large array. Basically, specify bounds_only => 1 when boundaries
is all you need for looping inside the block; e.g. Monte Carlo simulations.
Time was measured using 1 worker to emphasize the difference.
use MCE::Step;
MCE::Step::init {
max_workers => 1, chunk_size => 1_250_000,
bounds_only => 1
};
## For sequence, the input scalar $_ points to $chunk_ref
## when chunk_size > 1, otherwise $chunk_ref->[0].
##
## mce_step_s sub {
## my $begin = $_->[0]; my $end = $_->[-1];
##
## for ($begin .. $end) {
## ...
## }
##
## }, 1, 10_000_000;
mce_step_s sub {
my ($mce, $chunk_ref, $chunk_id) = @_;
## $chunk_ref contains 2 items, not 1_250_000
my $begin = $chunk_ref->[ 0];
my $end = $chunk_ref->[-1]; ## or $chunk_ref->[1]
MCE->printf("%7d .. %8d\n", $begin, $end);
}, 1, 10_000_000;
-- Output
1 .. 1250000
1250001 .. 2500000
2500001 .. 3750000
3750001 .. 5000000
5000001 .. 6250000
6250001 .. 7500000
7500001 .. 8750000
8750001 .. 10000000
GATHERING DATA
Unlike MCE::Map where gather and output order are done for you automatically, the gather method is used
to have results sent back to the manager process.
use MCE::Step chunk_size => 1;
## Output order is not guaranteed.
my @a = mce_step sub { MCE->gather($_ * 2) }, 1..100;
print "@a\n\n";
## Outputs to a hash instead (key, value).
my %h1 = mce_step sub { MCE->gather($_, $_ * 2) }, 1..100;
print "@h1{1..100}\n\n";
## This does the same thing due to chunk_id starting at one.
my %h2 = mce_step sub { MCE->gather(MCE->chunk_id, $_ * 2) }, 1..100;
print "@h2{1..100}\n\n";
The gather method can be called multiple times within the block unlike return which would leave the
block. Therefore, think of gather as yielding results immediately to the manager process without actually
leaving the block.
use MCE::Step chunk_size => 1, max_workers => 3;
my @hosts = qw(
hosta hostb hostc hostd hoste
);
my %h3 = mce_step sub {
my ($output, $error, $status); my $host = $_;
## Do something with $host;
$output = "Worker ". MCE->wid .": Hello from $host";
if (MCE->chunk_id % 3 == 0) {
## Simulating an error condition
local $? = 1; $status = $?;
$error = "Error from $host"
}
else {
$status = 0;
}
## Ensure unique keys (key, value) when gathering to
## a hash.
MCE->gather("$host.out", $output);
MCE->gather("$host.err", $error) if (defined $error);
MCE->gather("$host.sta", $status);
}, @hosts;
foreach my $host (@hosts) {
print $h3{"$host.out"}, "\n";
print $h3{"$host.err"}, "\n" if (exists $h3{"$host.err"});
print "Exit status: ", $h3{"$host.sta"}, "\n\n";
}
-- Output
Worker 3: Hello from hosta
Exit status: 0
Worker 2: Hello from hostb
Exit status: 0
Worker 1: Hello from hostc
Error from hostc
Exit status: 1
Worker 3: Hello from hostd
Exit status: 0
Worker 2: Hello from hoste
Exit status: 0
The following uses an anonymous array containing 3 elements when gathering data. Serialization is
automatic behind the scene.
my %h3 = mce_step sub {
...
MCE->gather($host, [$output, $error, $status]);
}, @hosts;
foreach my $host (@hosts) {
print $h3{$host}->[0], "\n";
print $h3{$host}->[1], "\n" if (defined $h3{$host}->[1]);
print "Exit status: ", $h3{$host}->[2], "\n\n";
}
Although MCE::Map comes to mind, one may want additional control when gathering data such as retaining
output order.
use MCE::Step;
sub preserve_order {
my %tmp; my $order_id = 1; my $gather_ref = $_[0];
return sub {
$tmp{ (shift) } = \@_;
while (1) {
last unless exists $tmp{$order_id};
push @{ $gather_ref }, @{ delete $tmp{$order_id++} };
}
return;
};
}
## Workers persist for the most part after running. Though, not always
## the case and depends on Perl. Pass a reference to a subroutine if
## workers must persist; e.g. mce_step { ... }, \&foo, 1..100000.
MCE::Step::init {
chunk_size => 'auto', max_workers => 'auto'
};
for (1..2) {
my @m2;
mce_step {
gather => preserve_order(\@m2)
},
sub {
my @a; my ($mce, $chunk_ref, $chunk_id) = @_;
## Compute the entire chunk data at once.
push @a, map { $_ * 2 } @{ $chunk_ref };
## Afterwards, invoke the gather feature, which
## will direct the data to the callback function.
MCE->gather(MCE->chunk_id, @a);
}, 1..100000;
print scalar @m2, "\n";
}
MCE::Step::finish;
All 6 models support 'auto' for chunk_size unlike the Core API. Think of the models as the basis for
providing JIT for MCE. They create the instance, tune max_workers, and tune chunk_size automatically
regardless of the hardware.
The following does the same thing using the Core API. Workers persist after running.
use MCE;
sub preserve_order {
...
}
my $mce = MCE->new(
max_workers => 'auto', chunk_size => 8000,
user_func => sub {
my @a; my ($mce, $chunk_ref, $chunk_id) = @_;
## Compute the entire chunk data at once.
push @a, map { $_ * 2 } @{ $chunk_ref };
## Afterwards, invoke the gather feature, which
## will direct the data to the callback function.
MCE->gather(MCE->chunk_id, @a);
}
);
for (1..2) {
my @m2;
$mce->process({ gather => preserve_order(\@m2) }, [1..100000]);
print scalar @m2, "\n";
}
$mce->shutdown;
MANUAL SHUTDOWN
MCE::Step->finish
MCE::Step::finish
Workers remain persistent as much as possible after running. Shutdown occurs automatically when the
script terminates. Call finish when workers are no longer needed.
use MCE::Step;
MCE::Step::init {
chunk_size => 20, max_workers => 'auto'
};
mce_step sub { ... }, 1..100;
MCE::Step::finish;
INDEX
MCE
AUTHOR
Mario E. Roy, <marioeroy AT gmail DOT com>
perl v5.20.2 2015-04-10 MCE::Step(3pm)