{"id":1823,"date":"2014-12-16T17:43:14","date_gmt":"2014-12-16T17:43:14","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1823"},"modified":"2023-06-28T01:25:34","modified_gmt":"2023-06-28T08:25:34","slug":"want-get-rid-documents-duplicate-content","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/want-get-rid-documents-duplicate-content\/","title":{"rendered":"\u00bfQuiere deshacerse de documentos con contenido duplicado?"},"content":{"rendered":"
\n

\"\"<\/p>\n

Tanto si est\u00e1 combinando datos de dos fuentes de datos diferentes, como si tiene varias compras de un mismo cliente o acaba de introducir dos veces los mismos datos en un formulario web, parece que todo el mundo se enfrenta al problema de los datos duplicados en un momento u otro. <\/span><\/b><\/p>\n

<\/p>\n

En esta entrada del blog, veremos c\u00f3mo utilizar vistas<\/a> en Couchbase Server 2.0 para encontrar campos coincidentes entre documentos y retener los documentos no duplicados. Por el bien de este ejemplo, supongamos que cada documento tiene tres campos comunes especificados por el usuario - <\/span>nombre<\/span>, <\/span>apellido<\/span>, <\/span>c\u00f3digo_postal<\/span>. Utilizaci\u00f3n de la <\/span>cliente ruby<\/u><\/font><\/span> para Couchbase Server y el <\/span>farsante<\/span><\/a> ruby gem, puedes construir un sencillo <\/span>generador de datos<\/span><\/a> para cargar algunos datos duplicados de ejemplo en Couchbase. Para utilizar ruby como lenguaje de programaci\u00f3n con Couchbase, debes descargar el SDK de Ruby <\/span>aqu\u00ed<\/span><\/a>.<\/span><\/b><\/p>\n

\u00a0<\/p>\n

He aqu\u00ed un ejemplo de ejecuci\u00f3n:<\/span><\/b><\/p>\n

\u00a0<\/p>\n

$ ruby .\/generate.rb -help<\/span><\/b><\/p>\n

Uso: generate.rb [opciones]
\u00a0\u00a0\u00a0-h, -nombrehost NOMBREHOST \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>Nombre de host al que conectarse (por defecto: 127.0.0.1:8091)
\u00a0\u00a0\u00a0-u, -usuario USERNAME \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>Nombre de usuario para iniciar sesi\u00f3n (por defecto: ninguno)
\u00a0\u00a0\u00a0-p, -passwd CONTRASE\u00d1A \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>Contrase\u00f1a para iniciar sesi\u00f3n (por defecto: ninguna)
\u00a0\u00a0\u00a0-b, -nombre del cubo \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span> <\/span>Nombre del bucket al que conectarse (por defecto: default)
\u00a0\u00a0\u00a0-t, -total-registros NUM \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span> <\/span>El n\u00famero total de registros a generar (por defecto: 10000)
\u00a0\u00a0\u00a0-d, -duplicate-rate NUM \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span> <\/span>Cada registro NUM-th ser\u00e1 duplicado (por defecto: 30)
\u00a0\u00a0\u00a0-?, -help \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span> <\/span>Mostrar este mensaje<\/span>

$ ruby .\/generate.rb -t 1000 -d 5
\u00a0\u00a0\u00a0\u00a0\u00a01000 \/ 1000<\/span><\/b><\/div>\n

\u00a0<\/p>\n

Cada documento en Couchbase tiene una clave especificada por el usuario que es accesible como <\/span>meta.id<\/span> en la funci\u00f3n map de la vista. En la Figura 1 de abajo, hay m\u00faltiples documentos cargados en Couchbase Server usando el cliente generador de datos anterior.<\/span><\/b><\/div>\n
\u00a0<\/div>\n
\"\"<\/span><\/b><\/div>\n<\/div>\n

Primer paso<\/span><\/b><\/p>\n

Escribe una funci\u00f3n map personalizada que emita el ID del documento (<\/span>meta.id<\/span>) de todos los documentos si coincide un determinado patr\u00f3n de duplicados (<\/span>nombre<\/span>, <\/span>apellido<\/span>, <\/span>c\u00f3digo_postal<\/span> en este caso).<\/span><\/b><\/div>\n
\u00a0<\/div>\n
\n
\n

function (doc, meta) {<\/span><\/b><\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0emit([doc.first_name + '-' + doc.last_name + '-' + doc.postal_code], meta.id);<\/span><\/b><\/p>\n

}<\/span><\/b><\/div>\n

La funci\u00f3n de mapa define cu\u00e1ndo dos documentos son duplicados. Seg\u00fan la funci\u00f3n map definida anteriormente, dos documentos son duplicados cuando el nombre, el apellido y el c\u00f3digo postal coinciden. Utilizamos '-' para evitar el aliasing de los datos al concatenar el nombre, el apellido y el c\u00f3digo postal.<\/span><\/b><\/p>\n<\/div>\n

\n

Paso 2<\/span><\/b><\/h2>\n

La funci\u00f3n reduce tiene el siguiente aspecto - <\/font><\/p>\n

function (keys, values, rereduce) {<\/span><\/b><\/p>\n

\u00a0 if (rereduce) {<\/span>
\u00a0\u00a0\u00a0 var res = [];<\/span>
\u00a0\u00a0\u00a0 for (var i = 0; i < valores.longitud; i++){<\/span>
\u00a0\u00a0\u00a0\u00a0\u00a0 res = res.concat(valores[i])<\/span>
\u00a0\u00a0\u00a0 }<\/span>
\u00a0\u00a0\u00a0 devolver res;<\/span>
\u00a0 } else {<\/span>
\u00a0\u00a0\u00a0 valores de retorno;<\/span>
\u00a0 }<\/span>
}<\/span><\/b><\/div>\n
\u00a0<\/div>\n

Tras la agrupaci\u00f3n, si hay m\u00e1s de un valor meta.id, los concatenamos para obtener una lista de meta.id que hagan referencia a un documento duplicado.<\/font><\/p>\n

\"\"<\/p>\n

Paso 3<\/span><\/b><\/p>\n

La parte central del <\/span>limpiador de datos <\/span><\/a>est\u00e1 escrito en Ruby. <\/span><\/b><\/div>\n
\u00a0<\/div>\n
\n
\n
\n
\u00a0<\/div>\n<\/div>\n
requiere<\/span> couchbase<\/span><\/font><\/div>\n
\u00a0<\/div>\n
conexi\u00f3n<\/span> =<\/span> Couchbase<\/span>.<\/span>conecte<\/span>(<\/span>opciones<\/span>)<\/span><\/font><\/div>\n
ddoc<\/span> =<\/span> conexi\u00f3n<\/span>.<\/span>dise\u00f1o_docs<\/span>[<\/span>opciones<\/span>[<\/span>:documento_dise\u00f1o<\/span>]]<\/span><\/font><\/div>\n
ver<\/span> =<\/span> ddoc<\/span>.<\/span>enviar<\/span>(<\/span>opciones<\/span>[<\/span>:ver<\/span>]<\/span>)<\/span><\/font><\/div>\n
conexi\u00f3n<\/span>.<\/span>ejecute<\/span> do<\/span><\/font><\/div>\n
\u00a0ver<\/span>.<\/span>cada<\/span>(<\/span>:grupo<\/span> =><\/span> verdadero<\/span>)<\/span> do<\/span> |<\/span>doc<\/span>|<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0dup_num<\/span> =<\/span> doc<\/span>.<\/span>valor<\/span>.<\/span>talla<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0si<\/span> dup_num<\/span> ><\/span> 1<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0pone<\/span> \"doc izquierda <\/span>#{<\/span>doc<\/span>.<\/span>valor<\/span>[<\/span>0<\/span>]<\/span>}<\/span>, “<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0# suprimir documentos del pen\u00faltimo al \u00faltimo<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0conexi\u00f3n<\/span>.<\/span>borrar<\/span>(<\/span>doc<\/span>.<\/span>valor<\/span>[<\/span>1<\/span>.<\/span>.<\/span>–<\/span>1<\/span>]<\/span>)<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0pone<\/span> \"eliminado <\/span>#{<\/span>dup_num<\/span>}<\/span> duplicado(s)\"<\/span><\/font><\/div>\n
\u00a0\u00a0\u00a0fin<\/span><\/font><\/div>\n
\u00a0fin<\/span><\/font><\/div>\n
fin<\/span><\/font><\/div>\n<\/div>\n<\/div>\n
\u00a0<\/div>\n
Con\u00e9ctate a Couchbase Server y consulta la vista. El campo valor es un array de meta.id's que corresponden a documentos duplicados (que coincidan con nombre, apellidos y c\u00f3digo postal). Si el tama\u00f1o del array es mayor que 1, eliminamos todos los documentos excepto el correspondiente al \u00faltimo meta.id.<\/span><\/div>\n

\"\"<\/span><\/b><\/p>\n

Si el n\u00famero de meta.id en la matriz de valores es superior a 2, hay documentos duplicados correspondientes a esa clave. Como se muestra en la figura anterior, id19 e id20 son documentos duplicados.<\/span><\/b><\/p>\n<\/div>\n

La salida del script de limpieza de datos tiene el siguiente aspecto -<\/span><\/b><\/div>\n
\"\"<\/div>\n
\u00a0<\/div>\n
Como se muestra en la siguiente figura, ahora se eliminan los documentos duplicados. <\/span><\/b><\/div>\n
\"\"<\/span><\/b><\/div>\n
\u00a1Que aproveche!<\/div>\n
—<\/span><\/b><\/div>\n
Gracias a Sergey por reunir el c\u00f3digo ruby.<\/span><\/b><\/div>","protected":false},"excerpt":{"rendered":"

Whether you\u2019re combining data from two different data sources, have multiple purchases from the same customer or just entered the same data in a web form twice, it seems like everyone faces the problem of duplicate data at one point […]<\/p>","protected":false},"author":4,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"ppma_author":[8972],"class_list":["post-1823","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nWant to get rid of documents with duplicate content? - The Couchbase Blog<\/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:\/\/www.couchbase.com\/blog\/es\/want-get-rid-documents-duplicate-content\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Want to get rid of documents with duplicate content?\" \/>\n<meta property=\"og:description\" content=\"Whether you\u2019re combining data from two different data sources, have multiple purchases from the same customer or just entered the same data in a web form twice, it seems like everyone faces the problem of duplicate data at one point […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/want-get-rid-documents-duplicate-content\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2014-12-16T17:43:14+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-06-28T08:25:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/sites\/default\/files\/uploads\/all\/duplicate-content.jpg\" \/>\n<meta name=\"author\" content=\"Don Pinto, Principal Product Manager, 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=\"Don Pinto, Principal Product Manager, 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\/want-get-rid-documents-duplicate-content\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/want-get-rid-documents-duplicate-content\/\"},\"author\":{\"name\":\"Don Pinto, Principal Product Manager, Couchbase\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/eb130a1e0278989e089a7fbbf8bc754c\"},\"headline\":\"Want to get rid of documents with duplicate content?\",\"datePublished\":\"2014-12-16T17:43:14+00:00\",\"dateModified\":\"2023-06-28T08:25:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/want-get-rid-documents-duplicate-content\/\"},\"wordCount\":620,\"commentCount\":4,\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/want-get-rid-documents-duplicate-content\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2022\/11\/couchbase-nosql-dbaas.png\",\"articleSection\":[\"Uncategorized\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.couchbase.com\/blog\/want-get-rid-documents-duplicate-content\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/want-get-rid-documents-duplicate-content\/\",\"url\":\"https:\/\/www.couchbase.com\/blog\/want-get-rid-documents-duplicate-content\/\",\"name\":\"Want to get rid of documents with duplicate content? 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