{"id":3804,"date":"2022-02-17T10:11:03","date_gmt":"2022-02-17T10:11:03","guid":{"rendered":"http:\/\/the-codest.localhost\/blog\/ways-to-increase-your-rails-performance\/"},"modified":"2024-07-04T21:01:27","modified_gmt":"2024-07-04T21:01:27","slug":"formas-de-aumentar-o-desempenho-dos-carris","status":"publish","type":"post","link":"https:\/\/thecodest.co\/pt\/blog\/ways-to-increase-your-rails-performance\/","title":{"rendered":"Como aumentar o desempenho do Rails"},"content":{"rendered":"

Rubi Primeiro<\/strong><\/h2>\n\n\n\n

Rubi<\/a><\/strong> \u00e9 uma linguagem fortemente orientada para objectos. De facto, (quase) tudo na Rubi<\/strong> \u00e9 um objeto. A cria\u00e7\u00e3o de objectos desnecess\u00e1rios pode custar ao seu programa uma grande utiliza\u00e7\u00e3o de mem\u00f3ria adicional, pelo que deve ser evitada.<\/p>\n\n\n\n

Para medir a diferen\u00e7a, utilizaremos um perfil de mem\u00f3ria<\/a><\/em> e um m\u00f3dulo Benchmark incorporado para medir o desempenho do tempo. <\/p>\n\n\n\n

Utilizar m\u00e9todos bang! em cadeias de caracteres<\/strong><\/h2>\n\n\n\n
requerer \"memory_profiler\"\n\nrelat\u00f3rio = MemoryProfiler.report do\ndados<\/a> = \"X\" * 1024 * 1024 * 100\ndados = dados.downcase\nfim\n\nrelat\u00f3rio.pretty_print<\/code><\/pre>\n\n\n\n
Na listagem abaixo, cri\u00e1mos uma cadeia de 100 MB e reduzimos cada car\u00e1cter nela contido. O nosso benchmark d\u00e1 n\u00f3s<\/a> o seguinte relat\u00f3rio:<\/p>\n\n\n\n
Total atribu\u00eddo: 210765044 bytes (6 objectos)<\/em><\/p>\n\n\n\n
No entanto, se substituirmos a linha 6 por:<\/p>\n\n\n\n
data.downcase!<\/code><\/code><\/pre>\n\n\n\n
 <\/code><\/p>\n\n\n\n
Ler ficheiros linha a linha<\/strong><\/h2>\n\n\n\n
Supostamente, precisamos de ir buscar uma enorme cole\u00e7\u00e3o de dados de 2 milh\u00f5es de registos a um ficheiro csv. Normalmente, seria assim:<\/p>\n\n\n\n
requerer 'benchmark'\n\nBenchmark.bm do |x|\nx.report do\nFicheiro.readlines(\"2mrecords.csv\").map! {|linha|linha.split(\",\")}\nend\nfim<\/code><\/pre>\n\n\n\n
utilizador sistema total real\n\n12.797000 2.437000 15.234000 (106.319865)<\/code><\/pre>\n\n\n\n
Demor\u00e1mos mais de 106 segundos a descarregar completamente o ficheiro. Bastante! Mas podemos acelerar este processo substituindo o mapa!<\/em> com um simples m\u00e9todo enquanto<\/em> la\u00e7o:<\/p>\n\n\n\n
requerer 'benchmark'\n\nBenchmark.bm do |x|\nx.report do\nficheiro = File.open(\"2mrecords.csv\", \"r\")\nwhile line = file.gets\nlinha.split(\",\")\nfim\nfim\nfim<\/code><\/pre>\n\n\n\n
utilizador sistema total real\n\n6.078000 0.250000 6.328000 ( 6.649422)<\/code><\/pre>\n\n\n\n
O tempo de execu\u00e7\u00e3o diminuiu drasticamente desde que o mapa!<\/em> pertence a uma classe espec\u00edfica, como Hash#map<\/em> ou Matriz#map<\/em>, em que Rubi<\/strong> ir\u00e1 armazenar todas as linhas do ficheiro analisado na mem\u00f3ria enquanto for executado. O coletor de lixo do Ruby <\/strong>n\u00e3o liberar\u00e1 a mem\u00f3ria antes que esses iteradores sejam totalmente executados. No entanto, a sua leitura linha a linha far\u00e1 com que o GC reposicione a mem\u00f3ria das linhas anteriores quando n\u00e3o for necess\u00e1rio.<\/p>\n\n\n\n
Evitar iteradores de m\u00e9todos em colec\u00e7\u00f5es maiores<\/strong><\/h2>\n\n\n\n
Esta \u00e9 uma extens\u00e3o do ponto anterior com um exemplo mais comum. Como j\u00e1 referi, Rubi<\/a> os iteradores s\u00e3o m\u00e9todos de objeto e n\u00e3o libertar\u00e3o a mem\u00f3ria enquanto estiverem a ser executados. Em pequena escala, a diferen\u00e7a n\u00e3o faz sentido (e m\u00e9todos como mapa<\/em> parece mais leg\u00edvel). No entanto, quando se trata de conjuntos de dados maiores, \u00e9 sempre uma boa ideia considerar a sua substitui\u00e7\u00e3o por loops mais b\u00e1sicos. Como no exemplo abaixo:<\/p>\n\n\n\n
numberofelements = 10000000\nrandoms = Array.new(numberofelements) { rand(10) }\n\nrandoms.each do |line|\n#fazer algo\nfim<\/code><\/pre>\n\n\n\n
e ap\u00f3s a refac\u00e7\u00e3o:<\/p>\n\n\n\n
numberofelements = 10000000\nrandoms = Array.new(numberofelements) { rand(10) }\n\nwhile randoms.count > 0\nlinha = randoms.shift\n1TP69Fazer alguma coisa\nfim\n\"`<\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
Utilizar o m\u00e9todo String::<<<\/strong><\/h2>\n\n\n\n
Esta \u00e9 uma dica r\u00e1pida e particularmente \u00fatil. Se acrescentarmos uma cadeia de caracteres a outra utilizando o operador += nos bastidores. Rubi <\/strong> criar\u00e1 um objeto adicional. Portanto, isto:\u00a0<\/p>\n\n\n\n
 a = \"X\"\n b = \"Y\"\n a += b<\/code><\/code><\/pre>\n\n\n\n
Na verdade, significa isto:<\/p>\n\n\n\n
 a = \"X\"\n b = \"Y\"\n c = a + b\n a = c<\/code><\/code><\/pre>\n\n\n\n
O operador evitaria isso, poupando-lhe alguma mem\u00f3ria:<\/p>\n\n\n\n
 a = \"X\"\n b = \"Y\"\n a << b<\/code><\/code><\/code><\/pre>\n\n\n\n
<\/p>\n\n\n\n
Vamos falar de Rails<\/strong><\/h2>\n\n\n\n
O Estrutura Rails <\/strong> possui muitas \"gotchas<\/em>\" que lhe permite otimizar a sua c\u00f3digo<\/a> rapidamente e sem grande esfor\u00e7o adicional. <\/p>\n\n\n\n
Eager Loading AKA n+1 query problem<\/strong><\/h2>\n\n\n\n
Vamos supor que temos dois modelos associados, Post e Author:<\/p>\n\n\n\n
class Author < ApplicationRecord\nhas_many :posts\nfim\n\nclass Post < ApplicationRecord\npertence a :author\nend<\/code><\/pre>\n\n\n\n
Queremos ir buscar todos os posts no nosso controlador e apresent\u00e1-los numa vista com os seus autores:<\/p>\n\n\n\n
controlador\n\ndef index\n@posts = Post.all.limit(20)\nfim\n\nver<\/code><\/pre>\n\n\n\n
No controlador, ActiveRecord<\/a> ir\u00e1 criar apenas uma consulta para encontrar os nossos posts. Mas, mais tarde, ele tamb\u00e9m acionar\u00e1 outras 20 consultas para encontrar cada autor de acordo - consumindo um tempo adicional! Felizmente, o Rails vem com uma solu\u00e7\u00e3o r\u00e1pida para combinar essas consultas em uma \u00fanica. Usando a fun\u00e7\u00e3o inclui<\/em> podemos reescrever o nosso controlador desta forma:<\/p>\n\n\n\n
 def index\n     @posts = Post.all.includes(:author).limit(20)\n fim<\/code><\/code><\/pre>\n\n\n\n
Por enquanto, apenas os dados necess\u00e1rios ser\u00e3o obtidos numa \u00fanica consulta.\u00a0<\/p>\n\n\n\n
Tamb\u00e9m pode utilizar outras pedras preciosas, tais como bala<\/a> para personalizar todo o processo.<\/p>\n\n\n\n
Chamar apenas o que \u00e9 necess\u00e1rio<\/strong><\/h2>\n\n\n\n
Outra t\u00e9cnica \u00fatil para aumentar a velocidade do ActiveRecord \u00e9 chamar apenas os atributos que s\u00e3o necess\u00e1rios para os seus objectivos actuais. Isto \u00e9 especialmente \u00fatil quando a sua aplica\u00e7\u00e3o come\u00e7a a crescer e o n\u00famero de colunas por tabela tamb\u00e9m aumenta.<\/p>\n\n\n\n
Tomemos o nosso c\u00f3digo anterior como exemplo e assumamos que s\u00f3 precisamos de selecionar nomes de autores. Assim, podemos reescrever o nosso controlador:<\/p>\n\n\n\n
 def index\n     @posts = Post.all.includes(:author).select(\"name\").limit(20)\n fim<\/code><\/code><\/code><\/pre>\n\n\n\n
Agora damos instru\u00e7\u00f5es ao nosso controlador para saltar todos os atributos exceto aquele de que precisamos.<\/p>\n\n\n\n
Renderizar parciais corretamente<\/strong><\/h2>\n\n\n\n
Digamos que queremos criar um parcial separado para as nossas mensagens de exemplos anteriores:<\/p>\n\n\n\n
\n<\/code><\/code><\/code><\/code><\/pre>\n\n\n\n
\u00c0 primeira vista, este c\u00f3digo parece correto. No entanto, com um maior n\u00famero de posts para renderizar, todo o processo ser\u00e1 significativamente mais lento. Isto deve-se ao facto de Carris <\/strong> invoca a nossa parcial com uma nova itera\u00e7\u00e3o mais uma vez. Podemos corrigir isso usando o colec\u00e7\u00f5es<\/em> carater\u00edstica:<\/p>\n\n\n\n
<\/code><\/code><\/code><\/code><\/pre>\n\n\n\n
Agora, Carris<\/strong> descobrir\u00e1 automaticamente qual modelo deve ser usado e o inicializar\u00e1 apenas uma vez.<\/p>\n\n\n\n
Utilizar o processamento em segundo plano<\/strong><\/h2>\n\n\n\n
Qualquer processo que consuma mais tempo e n\u00e3o seja crucial para o seu fluxo atual pode ser considerado um bom candidato ao processamento em segundo plano, por exemplo, o envio de mensagens de correio eletr\u00f3nico, a recolha de estat\u00edsticas ou a apresenta\u00e7\u00e3o de relat\u00f3rios peri\u00f3dicos. <\/p>\n\n\n\n
Ladokiq<\/strong> \u00e9 a gem mais utilizada para o processamento em segundo plano. Utiliza Redis<\/strong> para armazenar tarefas. Tamb\u00e9m lhe permite controlar o fluxo dos seus processos em segundo plano, dividi-los em filas separadas e gerir a utiliza\u00e7\u00e3o de mem\u00f3ria por cada um deles.<\/p>\n\n\n\n
Escreva menos c\u00f3digo, utilize mais gemas<\/strong><\/h2>\n\n\n\n
Carris <\/strong> surgiu com um enorme n\u00famero de pedras preciosas que n\u00e3o s\u00f3 facilitam a sua vida como aceleram o processo de desenvolvimento<\/a>mas tamb\u00e9m aumentar a velocidade de desempenho da sua aplica\u00e7\u00e3o. Gemas como Devise ou Pundit s\u00e3o geralmente bem testadas no que diz respeito \u00e0 sua velocidade e funcionam de forma mais r\u00e1pida e segura do que o c\u00f3digo escrito \u00e0 medida para o mesmo fim.<\/p>\n\n\n\n
Em caso de d\u00favidas para melhorar Desempenho do Rails<\/em>, alcan\u00e7ar Engenheiros The Codest<\/a><\/strong> sair para consultar as suas d\u00favidas.<\/p>\n\n\n\n
\"Oferta<\/a><\/figure>\n\n\n\n
Ler mais:<\/strong><\/p>\n\n\n\n
Pr\u00f3s e contras do desenvolvimento de software Ruby<\/a><\/p>\n\n\n\n
Carris e outros meios de transporte<\/a><\/p>\n\n\n\n
Desenvolvimento Rails com TMUX, Vim, Fzf + Ripgrep<\/a><\/p>","protected":false},"excerpt":{"rendered":"
Apesar de suas in\u00fameras vantagens, o Ruby on Rails ainda \u00e9 considerado um framework web relativamente lento. Todos n\u00f3s sabemos que o Twitter abandonou o Rails em favor do Scala. No entanto, com algumas melhorias inteligentes, voc\u00ea pode executar seu aplicativo significativamente mais r\u00e1pido!<\/p>","protected":false},"author":2,"featured_media":3805,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-3804","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software-development"],"acf":[],"yoast_head":"\nHow to Increase Rails Performance - The Codest<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thecodest.co\/pt\/blogue\/formas-de-aumentar-o-desempenho-dos-carris\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Increase Rails Performance\" \/>\n<meta property=\"og:description\" content=\"Despite its numerous advantages, Ruby on Rails is still considered to be a relatively slow web framework. 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