{"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\/es\/using-couchbase-r\/","title":{"rendered":"Uso de Couchbase con R"},"content":{"rendered":"

He visto mucho inter\u00e9s en el campo sobre el uso de Couchbase con R. Es una integraci\u00f3n f\u00e1cil, as\u00ed que aqu\u00ed tienes algunos ejemplos para empezar a usarlo ahora mismo.<\/p>\n

Como peque\u00f1o antecedente, R es un lenguaje y entorno para computaci\u00f3n estad\u00edstica y gr\u00e1ficos. Lo encontrar\u00e1s en las primeras posiciones de los rankings de mejores lenguajes para An\u00e1lisis de Datos, Machine Learning o Data Crunching. Los cient\u00edficos de datos utilizan R como una de sus herramientas m\u00e1s potentes.<\/p>\n

Para la ingesta de datos, R puede cargar archivos en diferentes formatos como csv, excel, html, texto plano, y m\u00e1s con una simple l\u00ednea de comandos. R tambi\u00e9n puede cargar datos de sitios remotos mediante HTTP y trabajar f\u00e1cilmente con JSON.<\/p>\n

Con todo esto en mente, \u00bfc\u00f3mo podemos cargar datos de Couchbase en R? \u00bfNecesitamos un adaptador especial? N1QL es la respuesta. El motor de consultas de Couchbase acepta peticiones REST, devolviendo documentos JSON, por lo que podemos importar datos directamente a R. No se necesitan componentes extra.<\/p>\n

Aqu\u00ed tienes algunos ejemplos con datos del bucket \"travel-sample\", incluido en Couchbase como conjunto de datos de ejemplo. Estoy usando aqu\u00ed las versiones R 3.4.1 y Couchbase 4.6.2.<\/p>\n

Como primer ejercicio, vamos a cargar las 20 compa\u00f1\u00edas a\u00e9reas con m\u00e1s vuelos en nuestro sistema. Cargaremos estos datos en un R Data Frame, mostraremos los resultados en la consola y construiremos un sencillo gr\u00e1fico de barras.<\/p>\n

Desde el lado de Couchbase, esta es la consulta a ejecutar:<\/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 la parte de R, utilizaremos la R Console. En primer lugar, tenemos que importar las bibliotecas utilizadas en este ejercicio:<\/p>\n
library(httr)\r\nlibrary(jsonlite)\r\nlibrary(ggplot2)\r\nlibrary(leaflet)<\/pre>\n
El siguiente paso es construir algunas variables, incluyendo la direcci\u00f3n del nodo Couchbase Query y la consulta. F\u00edjate en las comillas dobles escapadas (\\\"):<\/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
Luego debemos construir la petici\u00f3n HTTP, y leer la respuesta en 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
NOTA<\/strong>: Si est\u00e1 utilizando un cubo protegido por contrase\u00f1a, debe incluir credenciales como las siguientes:<\/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
A continuaci\u00f3n, podemos guardar el resultado en una variable.<\/p>\n
airlineFlights <- res$results<\/pre>\n
Para ver el valor basta con escribir el nombre de la variable:<\/p>\n
\"\"<\/p>\n
Tambi\u00e9n podemos construir un gr\u00e1fico de barras utilizando la biblioteca ggplot:<\/p>\n
ggplot(data=airlineFlights, aes(x=name, y=total_flights)) + theme(axis.text.x=element_text(angle=90,hjust=1)) + geom_bar(stat=\"identity\")<\/pre>\n
Este es el resultado:<\/p>\n
\"\"<\/p>\n
Como segundo ejemplo, vamos a buscar los hoteles que admiten mascotas disponibles en Londres, y mostrarlos sobre un mapa. La consulta N1QL es la siguiente:<\/p>\n
SELECT name,geo.lat as lat,geo.lon as long\r\nFROM `travel-sample`\r\nWHERE type=\"hotel\" AND city=\"London\" AND pets_ok=true<\/pre>\n
El c\u00f3digo R para ejecutar la consulta y guardar los resultados:<\/p>\n
query <- \"SELECT name, geo.lat as lat, geo.lon as long FROM `travel-sample` WHERE type=\\\"hotel\\\" AND city=\\\"London\\\" AND pets_ok=true\"\r\nreq <- httr::POST(cbServer, httr::add_headers(\"Content-Type\" = \"application\/x-www-form-urlencoded;charset=UTF-8\"), body = paste(\"statement=\", query))\r\nres <- fromJSON(httr::content(req, \"text\"))\r\npetFriendlyHotelsLondon <- res$results<\/pre>\n
Estos son los resultados:<\/p>\n
\"\"<\/p>\n
Ahora podemos utilizar la biblioteca leaflet para dibujar los resultados sobre un mapa:<\/p>\n
leaflet(data = petFriendlyHotelsLondon) %>% addTiles() %>% addMarkers(~long, ~lat, popup = ~as.character(name), label = ~as.character(name)) %>% addProviderTiles(providers$OpenStreetMap)<\/pre>\n
El mapa se abre en un navegador:<\/p>\n
\"\"Esto es todo. Espero que esto sea \u00fatil como primeros pasos en el uso de Couchbase desde R. \u00a1Feliz An\u00e1lisis de Datos!<\/p>\n
Para m\u00e1s informaci\u00f3n, visite
\nReferencia de la API REST de N1QL<\/a>
\nR: El proyecto R para el c\u00e1lculo estad\u00edstico<\/a>
\nFolleto 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\/es\/using-couchbase-r\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\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\/es\/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\":\"es\",\"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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