perl6-bench做perl6性能分析对比
项目的主程序bench本身是用?Perl6写的。所以运行前，得先安装好RakudoStar：
wgethttp://rakudo.org/downloads/star/rakudo-star-2014.09.tar.gztarzxvfrakudo-star-2014.09.tar.gzcdrakudo-star-2014.09perlConfigure.pl--backend=moar--gen-moar编译完成后，会在rakudo-star目录下创建一个install子目录，里面有bin，lib等编译完成的文件，把这个bin加入到你的$PATH里去。
sed-i''s!(PATH=.)$!1:~/download/rakudo-star-2014.09/install/bin!''~/.bash_profilesource~/.bash_profile项目的测试程序timeall是用Perl5写的。运行前，也得安装几个CPAN模块：
cpanmCapture::TinyData::AliasDateTimeJSONJSON::XSList::MoreUtils然后就可以开始测试了：
./benchsetup这个命令会在components子目录下逐一clone下来各种可以测试的perl6实现的源代码git库，包括有：
arane??niecza?nqp-jvm??nqp-parrot?perl5???rakudo-jvm??rakudo-parrotmoarvm?nqp-js?nqp-moar?parrot?????perlito?rakudo-moar下面就开始正式测试了。用时同样会比较长，和上面gitclone一样，都建议放在screen里运行。
然后设定本次测试你打算对比哪些：
exportCHECKOUTS=''perl5/v5.20.1rakudo-jvm/2014.10rakudo-moar/2014.10rakudo-moar/2014.09''这个写法规范是：git库名/gittag名
然后运行：
./benchextract$CHECKOUTS这一步会分别checkout具体的tag到同级的新目录里，然后开始编译：
./benchbuild??$CHECKOUTS然后运行测试程序：
./benchtime???$CHECKOUTS一共有65个测试，测试项在microbenchworks.pl文件的大数组里定义了。我在测试中发现，第15/65测试用例，在nqp-moar时会死循环运行，无法正常完成测试，已回报给作者。
最后运行结果对比评分：
./benchcompare$CHECKOUTS结果显示，moar比jvm领先一些，比perl5还差着呢：
==>perl6-benchversion997c920(ignoringstartuptimeandcompiletime)---showingPEAKRATE(/s),TIMESSLOWERTHANFASTEST(x),andSUMMARYSCORES(skippingincompletedata)???????????????????????????????-Perl5-??--------------Perl6--------------????????????????????????????????v5.20.1?????2014.10?????2014.09?????2014.10????????????????????????????????????perl5??????rakudo??????rakudo??????rakudo??TEST??????????????????????????????perl5?????????jvm??????moarvm??????moarvm?????????????????????????????????-------------------------------------------------empty???????????????????????????????--????????????0/s?????????4/s?????????4/s???????????????????????????????????FAIL????????34.0x????????1.0x????????1.1x?zero????????????????????????????????--????????????0/s?????????4/s?????????4/s???????????????????????????????????FAIL????????33.3x????????1.0x????????1.1x?hello???????????????????????????????--????????????0/s?????????4/s?????????4/s???????????????????????????????????FAIL????????33.2x????????1.0x????????1.1x?while_empty????????????????????26678545/s????223006/s???1730328/s???3403743/s????????????????????????????????????1.0x??????119.6x???????15.4x????????7.8x?while_empty_native?????????????26800035/s??1291144447/s??27583644/s??168949423/s???????????????????????????????????48.2x????????1.0x???????46.8x????????7.6x?while_bind??????????????????????????--???????249216/s???1682441/s???3381083/s???????????????????????????????????FAIL????????13.6x????????2.0x????????1.0x?while_concat???????????????????13404147/s?????26589/s????166714/s????206047/s????????????????????????????????????1.0x??????504.1x???????80.4x???????65.1x?while_concat_native????????????13400671/s?????65891/s???4138382/s???5216637/s????????????????????????????????????1.0x??????203.4x????????3.2x????????2.6x?while_int2str???????????????????6026835/s?????57112/s????364208/s????455797/s????????????????????????????????????1.0x??????105.5x???????16.5x???????13.2x?while_int2str_native????????????6283498/s????111754/s????543142/s????671402/s????????????????????????????????????1.0x???????56.2x???????11.6x????????9.4x?while_int2str_concat????????????8711901/s??????7006/s?????89566/s?????93480/s????????????????????????????????????1.0x?????1243.5x???????97.3x???????93.2x?while_int2str_concat_native?????8403097/s?????13824/s????153347/s????167585/s????????????????????????????????????1.0x??????607.9x???????54.8x???????50.1x?while_push_join?????????????????3656434/s?????15223/s?????18917/s????111952/s????????????????????????????????????1.0x??????240.2x??????193.3x???????32.7x?while_push??????????????????????7821809/s?????90685/s?????21289/s????239678/s????????????????????????????????????1.0x???????86.3x??????367.4x???????32.6x?while_pushme???????????????????14440088/s???3184098/s???1225845/s???1560029/s????????????????????????????????????1.0x????????4.5x???????11.8x????????9.3x?while_array_set?????????????????6171761/s????112655/s????276032/s????335751/s????????????????????????????????????1.0x???????54.8x???????22.4x???????18.4x?while_hash_set??????????????????1525235/s?????58647/s????158810/s????171691/s????????????????????????????????????1.0x???????26.0x????????9.6x????????8.9x?postwhile_nil??????????????????36412794/s????515093/s???2939870/s???4147168/s????????????????????????????????????1.0x???????70.7x???????12.4x????????8.8x?postwhile_nil_native???????????36083908/s??1676476937/s??34716639/s??167547820/s???????????????????????????????????46.5x????????1.0x???????48.3x???????10.0x?loop_empty?????????????????????24051967/s????257307/s???1686547/s???3321511/s????????????????????????????????????1.0x???????93.5x???????14.3x????????7.2x?loop_empty_native??????????????24181034/s??2276716196/s??28050857/s??193967640/s???????????????????????????????????94.2x????????1.0x???????81.2x???????11.7x?for_empty??????????????????????33943008/s????894886/s???2315939/s???2515590/s????????????????????????????????????1.0x???????37.9x???????14.7x???????13.5x?for_bind????????????????????????????--??????1571035/s???2331450/s???2586230/s???????????????????????????????????FAIL?????????1.6x????????1.1x????????1.0x?for_assign?????????????????????17713024/s???1532922/s???2006784/s???2391570/s????????????????????????????????????1.0x???????11.6x????????8.8x????????7.4x?for_assign_native??????????????17765094/s???1658168/s???1895988/s???2006162/s????????????????????????????????????1.0x???????10.7x????????9.4x????????8.9x?for_postinc????????????????????16640609/s????386218/s???1398445/s???1802886/s????????????????????????????????????1.0x???????43.1x???????11.9x????????9.2x?for_postinc_native?????????????16670507/s???1037555/s???1859233/s???1994065/s????????????????????????????????????1.0x???????16.1x????????9.0x????????8.4x?for_concat?????????????????????14998496/s?????29144/s????182410/s????205988/s????????????????????????????????????1.0x??????514.6x???????82.2x???????72.8x?for_concat_native??????????????15053529/s?????49506/s???1353377/s???1465293/s????????????????????????????????????1.0x??????304.1x???????11.1x???????10.3x?for_concat_2????????????????????8646049/s?????15854/s????107213/s????117943/s????????????????????????????????????1.0x??????545.4x???????80.6x???????73.3x?for_concat_2_native?????????????8659225/s?????23751/s????791213/s????986208/s????????????????????????????????????1.0x??????364.6x???????10.9x????????8.8x?for_push????????????????????????8496867/s????122034/s?????25166/s????333166/s????????????????????????????????????1.0x???????69.6x??????337.6x???????25.5x?for_array_set???????????????????7810807/s?????57463/s????286036/s????388650/s????????????????????????????????????1.0x??????135.9x???????27.3x???????20.1x?for_hash_set????????????????????1567864/s?????32265/s????168643/s????171446/s????????????????????????????????????1.0x???????48.6x????????9.3x????????9.1x?reduce_range????????????????????4964114/s????181283/s????318258/s????345797/s????????????????????????????????????1.0x???????27.4x???????15.6x???????14.4x?reduce_int_comb_range????????????470778/s??????1495/s??????3355/s??????3406/s????????????????????????????????????1.0x??????314.8x??????140.3x??????138.2x?any_equals??????????????????????2646212/s?????15684/s?????61867/s?????81787/s????????????????????????????????????1.0x??????168.7x???????42.8x???????32.4x?trim_string????????????????????13660958/s??33565139/s???9291330/s??17910365/s????????????????????????????????????2.5x????????1.0x????????3.6x????????1.9x?split_string_constant???????????5615519/s????100014/s????133572/s????171231/s????????????????????????????????????1.0x???????56.1x???????42.0x???????32.8x?split_string_regex??????????????2017912/s??????4137/s?????12573/s?????16553/s????????????????????????????????????1.0x??????487.8x??????160.5x??????121.9x?charrange????????????????????????363103/s??????3416/s?????19831/s?????24667/s????????????????????????????????????1.0x??????106.3x???????18.3x???????14.7x?charrange_ignorecase?????????????363529/s??????3788/s?????14433/s?????17899/s????????????????????????????????????1.0x???????96.0x???????25.2x???????20.3x?visit_2d_indices_while??????????7276084/s????152635/s????746903/s???1484712/s????????????????????????????????????1.0x???????47.7x????????9.7x????????4.9x?visit_2d_indices_while_native??11180261/s????553619/s???1177498/s???1451682/s????????????????????????????????????1.0x???????20.2x????????9.5x????????7.7x?visit_2d_indices_loop??????????10123295/s????177783/s????834515/s???1843586/s????????????????????????????????????1.0x???????56.9x???????12.1x????????5.5x?visit_2d_indices_loop_native???12457926/s??440172780/s???1227550/s???1431680/s???????????????????????????????????35.3x????????1.0x??????358.6x??????307.5x?visit_2d_indices_for????????????8548538/s????255887/s????675743/s????847728/s????????????????????????????????????1.0x???????33.4x???????12.7x???????10.1x?visit_2d_indices_cross??????????1367865/s??????4685/s?????31407/s?????40470/s????????????????????????????????????1.0x??????292.0x???????43.6x???????33.8x?create_and_copy_2d_grid_cross????541914/s??????2230/s?????11564/s?????13778/s????????????????????????????????????1.0x??????243.0x???????46.9x???????39.3x?create_and_iterate_hash_kv??????????--?????????1564/s?????12248/s?????12651/s???????????????????????????????????FAIL?????????8.1x????????1.0x????????1.0x?rat_mul_div_cancel?????????????????7439/s??????4852/s?????33910/s?????40614/s????????????????????????????????????5.5x????????8.4x????????1.2x????????1.0x?rat_harmonic???????????????????????1080/s??????1732/s?????11089/s?????11678/s???????????????????????????????????10.8x????????6.7x????????1.1x????????1.0x?rand???????????????????????????10885068/s????230938/s????183511/s????213786/s????????????????????????????????????1.0x???????47.1x???????59.3x???????50.9x?array_set_xx???????????????????13585287/s???1533694/s????545243/s????597926/s????????????????????????????????????1.0x????????8.9x???????24.9x???????22.7x?parse-json???????????????????????????23/s?????????1/s?????????1/s?????????1/s????????????????????????????????????1.0x???????29.6x???????37.0x???????22.8x?parse-json-www.shanxiwang.netno-obj-creation??????????--????????????1/s?????????1/s?????????1/s???????????????????????????????????SKIP?????????1.4x????????1.9x????????1.0x?rc-forest-fire?????????????????????1374/s?????????2/s?????????9/s?????????9/s????????????????????????????????????1.0x??????588.4x??????155.8x??????146.7x?rc-man-or-boy-test???????????????187464/s???????--????????41252/s?????39966/s????????????????????????????????????1.0x???????FAIL?????????4.5x????????4.7x?rc-self-describing-numbers???????219156/s???????571/s???????775/s???????782/s????????????????????????????????????1.0x??????383.9x??????282.9x??????280.1x?rc-dragon-curve??????????????????149131/s??????1704/s??????5937/s??????6260/s????????????????????????????????????1.0x???????87.5x???????25.1x???????23.8x?rc-9-billion-names?????????????????1821/s????????93/s???????216/s???????500/s????????????????????????????????????1.0x???????19.7x????????8.4x????????3.6x?rc-mandelbrot??????????????????????1168/s???????702/s??????1440/s??????1519/s????????????????????????????????????1.3x????????2.2x????????1.1x????????1.0x?spinner?????????????????????????????971/s?????????4/s?????????5/s?????????5/s????????????????????????????????????1.0x??????228.7x??????193.1x??????182.9x?rc-forest-fire-stringify??????????11162/s????????25/s????????35/s????????41/s????????????????????????????????????1.0x??????438.8x??????314.7x??????275.2x?string-escape???????????????????1448636/s???????--??????????--??????????--???????????????????????????????????????1.0x???????FAIL????????FAIL????????FAIL?????????????????????????????????=================================================SUMMARYSCORE????????????????????2253.9????????40.5???????100.0???????139.6??如何把数据用图的形式展示，目前还没有找到办法。
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