{"id":3860,"date":"2017-07-24T08:36:32","date_gmt":"2017-07-24T15:36:32","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=3860"},"modified":"2022-07-06T06:31:37","modified_gmt":"2022-07-06T13:31:37","slug":"using-couchbase-r","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/using-couchbase-r\/","title":{"rendered":"Usando o Couchbase com o R"},"content":{"rendered":"

Tenho visto muito interesse na \u00e1rea sobre o uso do Couchbase com o R. \u00c9 uma integra\u00e7\u00e3o f\u00e1cil, portanto, aqui voc\u00ea tem alguns exemplos para come\u00e7ar a us\u00e1-lo agora mesmo.<\/p>\n

Para que voc\u00ea saiba um pouco mais, o R \u00e9 uma linguagem e um ambiente para computa\u00e7\u00e3o estat\u00edstica e gr\u00e1ficos. Voc\u00ea a encontrar\u00e1 nas primeiras posi\u00e7\u00f5es das classifica\u00e7\u00f5es das melhores linguagens para an\u00e1lise de dados, aprendizado de m\u00e1quina ou processamento de dados. Os cientistas de dados usam o R como uma de suas ferramentas mais poderosas.<\/p>\n

Para a ingest\u00e3o de dados, o R pode carregar arquivos em diferentes formatos, como csv, excel, html, texto simples e outros, com uma simples linha de comando. O R tamb\u00e9m pode carregar dados de sites remotos usando HTTP e pode trabalhar facilmente com JSON.<\/p>\n

Com tudo isso em mente, como podemos carregar dados do Couchbase para o R? Precisamos de um adaptador especial? N1QL \u00e9 a resposta. O mecanismo de consulta do Couchbase aceita solicita\u00e7\u00f5es REST, retornando documentos JSON, para que possamos importar dados diretamente para o R. N\u00e3o s\u00e3o necess\u00e1rios componentes adicionais.<\/p>\n

Aqui voc\u00ea tem alguns exemplos com dados do bucket \"travel-sample\", inclu\u00eddo no Couchbase como um conjunto de dados de exemplo. Estou usando aqui as vers\u00f5es R 3.4.1 e Couchbase 4.6.2.<\/p>\n

Como primeiro exerc\u00edcio, vamos carregar as 20 principais companhias a\u00e9reas com mais voos em nosso sistema. Carregaremos esses dados em um Data Frame do R, mostraremos os resultados no console e criaremos um gr\u00e1fico de barras simples.<\/p>\n

No lado do Couchbase, esta \u00e9 a consulta a ser executada:<\/p>\n

SELECT a.name, count(*) as total_flights\r\n\u00a0 FROM `travel-sample` r JOIN `travel-sample` a ON KEYS r.airlineid\r\n\u00a0 WHERE r.type =\"route\" AND a.type=\"airline\"\r\n\u00a0 GROUP BY a.name\r\n\u00a0 ORDER BY total_flights DESC\r\n\u00a0 LIMIT 20<\/pre>\n
Para o lado do R, usaremos o Console do R. Primeiro, precisamos importar as bibliotecas usadas neste exerc\u00edcio:<\/p>\n
library(httr)\r\nlibrary(jsonlite)\r\nlibrary(ggplot2)\r\nlibrary(leaflet)<\/pre>\n
A pr\u00f3xima etapa \u00e9 criar algumas vari\u00e1veis, incluindo o endere\u00e7o do n\u00f3 do Couchbase Query e a consulta. Observe as aspas duplas com escape (\\\"):<\/p>\n
cbServer <- \"https:\/\/cb451box:8093\/query\/service\"\r\nquery <- \"SELECT a.name, count(*) as total_flights FROM `travel-sample` r JOIN `travel-sample` a ON KEYS r.airlineid WHERE r.type =\\\"route\\\" AND a.type=\\\"airline\\\" GROUP BY a.name ORDER BY total_flights DESC LIMIT 20\"<\/pre>\n
Em seguida, devemos criar a solicita\u00e7\u00e3o HTTP e ler a resposta no formato JSON:<\/p>\n
req <- httr::POST(cbServer, httr::add_headers(\"Content-Type\" = \"application\/x-www-form-urlencoded;charset=UTF-8\"), body = paste(\"statement=\", query))\r\nres <- fromJSON(httr::content(req, \"text\"))<\/pre>\n
OBSERVA\u00c7\u00c3O<\/strong>: Se voc\u00ea estiver usando um bucket protegido por senha, dever\u00e1 incluir credenciais como as seguintes:<\/p>\n
creds <- \"[{\\\"user\\\":\\\"local:bucketName\\\", \\\"pass\\\":\\\"password\\\"}]\"\r\nreq <- httr::POST(cbServer, httr::add_headers(\"Content-Type\" = \"application\/x-www-form-urlencoded;charset=UTF-8\"), body =\u00a0paste(\"statement=\", query, \"&creds=\", creds));<\/pre>\n
Em seguida, podemos salvar o resultado em uma vari\u00e1vel.<\/p>\n
airlineFlights <- res$results<\/pre>\n
Para ver o valor, basta digitar o nome da vari\u00e1vel:<\/p>\n
\"\"<\/p>\n
Tamb\u00e9m podemos criar um gr\u00e1fico de barras usando a biblioteca ggplot:<\/p>\n
ggplot(data=airlineFlights, aes(x=name, y=total_flights)) + theme(axis.text.x=element_text(angle=90,hjust=1)) + geom_bar(stat=\"identity\")<\/pre>\n
Este \u00e9 o resultado:<\/p>\n
\"\"<\/p>\n
Como segundo exemplo, vamos pesquisar os hot\u00e9is que aceitam animais de estima\u00e7\u00e3o dispon\u00edveis em Londres e mostr\u00e1-los em um mapa. A consulta N1QL \u00e9 a seguinte:<\/p>\n
SELECT name,geo.lat as lat,geo.lon as long\r\nFROM `travel-sample`\r\nWHERE type=\"hotel\" AND city=\"London\" AND pets_ok=true<\/pre>\n
O c\u00f3digo R para executar a consulta e salvar os resultados:<\/p>\n
query <- \"SELECT name, geo.lat as lat, geo.lon as long FROM `travel-sample` WHERE type=\\\"hotel\\\" AND city=\\\"London\\\" AND pets_ok=true\"\r\nreq <- httr::POST(cbServer, httr::add_headers(\"Content-Type\" = \"application\/x-www-form-urlencoded;charset=UTF-8\"), body = paste(\"statement=\", query))\r\nres <- fromJSON(httr::content(req, \"text\"))\r\npetFriendlyHotelsLondon <- res$results<\/pre>\n
Estes s\u00e3o os resultados:<\/p>\n
\"\"<\/p>\n
Agora podemos usar a biblioteca leaflet para desenhar os resultados em um mapa:<\/p>\n
leaflet(data = petFriendlyHotelsLondon) %>% addTiles() %>% addMarkers(~long, ~lat, popup = ~as.character(name), label = ~as.character(name)) %>% addProviderTiles(providers$OpenStreetMap)<\/pre>\n
O mapa \u00e9 aberto em um navegador:<\/p>\n
\"\"Isso \u00e9 tudo. Espero que isso seja \u00fatil para os primeiros passos no uso do Couchbase a partir do R. Boa an\u00e1lise de dados!<\/p>\n
Para obter mais detalhes, acesse:
\nRefer\u00eancia da API REST do N1QL<\/a>
\nR: O projeto R para computa\u00e7\u00e3o estat\u00edstica<\/a>
\nFolheto para R<\/a><\/p>","protected":false},"excerpt":{"rendered":"
I have seen a lot of interest in the field about using Couchbase with R. It is an easy integration, so here you have some examples to start using it right now. As a little background, R is a language […]<\/p>","protected":false},"author":69,"featured_media":3865,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1815,1816,1812],"tags":[2014,2013],"ppma_author":[9041],"class_list":["post-3860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-best-practices-and-tutorials","category-couchbase-server","category-n1ql-query","tag-data-analysis","tag-r"],"acf":[],"yoast_head":"\nUsing Couchbase with R - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"Learn by example how to integrate Couchbase and R using N1QL and REST API\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/pt\/using-couchbase-r\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Couchbase with R\" \/>\n<meta property=\"og:description\" content=\"Learn by example how to integrate Couchbase and R using N1QL and REST API\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/pt\/using-couchbase-r\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2017-07-24T15:36:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-07-06T13:31:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2017\/07\/featuredR.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2036\" \/>\n\t<meta property=\"og:image:height\" content=\"1264\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Manuel Hurtado, Solutions Engineer, Couchbase\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Manuel Hurtado, Solutions Engineer, Couchbase\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/\"},\"author\":{\"name\":\"Manuel Hurtado, Solutions Engineer, Couchbase\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/00c164bc72955b52cd86c966aafb9237\"},\"headline\":\"Using Couchbase with R\",\"datePublished\":\"2017-07-24T15:36:32+00:00\",\"dateModified\":\"2022-07-06T13:31:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/\"},\"wordCount\":455,\"commentCount\":2,\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2017\/07\/featuredR.jpg\",\"keywords\":[\"Data Analysis\",\"R\"],\"articleSection\":[\"Best Practices and Tutorials\",\"Couchbase Server\",\"SQL++ \/ N1QL Query\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/using-couchbase-r\/\",\"name\":\"Using Couchbase with R - 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