在易用性和速度方面,JSON::SL
似乎是赢家:
#!/usr/bin/perl
use strict;
use warnings;
use JSON::SL;
my $p = JSON::SL->new;
#look for everthing past the first level (i.e. everything in the array)
$p->set_jsonpointer(["/^"]);
local $/ = \5; #read only 5 bytes at a time
while (my $buf = <DATA>) {
$p->feed($buf); #parse what you can
#fetch anything that completed the parse and matches the JSON Pointer
while (my $obj = $p->fetch) {
print "$obj->{Value}{n}: $obj->{Value}{s}\n";
}
}
__DATA__
[
{ "n": 0, "s": "zero" },
{ "n": 1, "s": "one" },
{ "n": 2, "s": "two" }
]
JSON::Streaming::Reader
没问题,但它速度较慢,并且接口过于冗长(所有这些代码引用都是必需的,即使很多什么都不做):
#!/usr/bin/perl
use strict;
use warnings;
use JSON::Streaming::Reader;
my $p = JSON::Streaming::Reader->for_stream(\*DATA);
my $obj;
my $attr;
$p->process_tokens(
start_array => sub {}, #who cares?
end_array => sub {}, #who cares?
end_property => sub {}, #who cares?
start_object => sub { $obj = {}; }, #clear the current object
start_property => sub { $attr = shift; }, #get the name of the attribute
#add the value of the attribute to the object
add_string => sub { $obj->{$attr} = shift; },
add_number => sub { $obj->{$attr} = shift; },
#object has finished parsing, it can be used now
end_object => sub { print "$obj->{n}: $obj->{s}\n"; },
);
__DATA__
[
{ "n": 0, "s": "zero" },
{ "n": 1, "s": "one" },
{ "n": 2, "s": "two" }
]
解析 1,000 条记录需要JSON::SL
0.2 秒和JSON::Streaming::Reader
3.6 秒(请注意,JSON::SL
一次输入 4k,我无法控制 JSON::Streaming::Reader 的缓冲区大小)。