{"id":104224,"date":"2022-06-02T15:37:06","date_gmt":"2022-06-02T13:37:06","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-ferretdb-0-3-realizaczii-mongodb-na-baze-subd-postgresql"},"modified":"2022-06-02T15:37:06","modified_gmt":"2022-06-02T13:37:06","slug":"vypusk-ferretdb-0-3-realizaczii-mongodb-na-baze-subd-postgresql","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/vypusk-ferretdb-0-3-realizaczii-mongodb-na-baze-subd-postgresql","title":{"rendered":"Lanzamiento de FerretDB 0.3, una implementaci\u00f3n de MongoDB sobre la base de la base de datos PostgreSQL","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Se ha publicado la versi\u00f3n 0.3 del proyecto FerretDB, que permite reemplazar la base de datos orientada a documentos MongoDB por PostgreSQL sin necesidad de modificar el c\u00f3digo de las aplicaciones. FerretDB se implementa como un servidor proxy que traduce las solicitudes de MongoDB en consultas SQL para PostgreSQL, lo que permite usar PostgreSQL como el almacenamiento real. El c\u00f3digo est\u00e1 escrito en Go y se distribuye bajo la licencia Apache 2.0.    <\/p>\n<p>La necesidad de migraci\u00f3n puede surgir debido al cambio de MongoDB a una licencia no libre, SSPL, que se basa en la licencia AGPLv3, pero no es abierta, ya que contiene el requisito discriminatorio de entregar no solo el c\u00f3digo de la aplicaci\u00f3n misma, sino tambi\u00e9n el c\u00f3digo fuente de todos los componentes involucrados en la provisi\u00f3n del servicio en la nube bajo la licencia SSPL.     <\/p>\n<p>El p\u00fablico objetivo principal de FerretDB son los usuarios que no utilizan las funciones avanzadas de MongoDB en sus aplicaciones, pero desean un stack de software completamente abierto. En la etapa actual de desarrollo, FerretDB solo admite parte de las funcionalidades de MongoDB que son m\u00e1s com\u00fanmente utilizadas en aplicaciones est\u00e1ndar. En el futuro, se planea alcanzar la plena compatibilidad con los controladores de MongoDB y ofrecer la posibilidad de utilizar FerretDB como un reemplazo transparente de MongoDB.      <\/p>\n<p>MongoDB ocupa un nicho entre sistemas r\u00e1pidos y escalables que operan con datos en formato clave\/valor, y bases de datos relacionales, que son funcionales y c\u00f3modas para la creaci\u00f3n de consultas. MongoDB es compatible con el almacenamiento de documentos en formato similar a JSON, tiene un lenguaje bastante flexible para la creaci\u00f3n de consultas, puede crear \u00edndices para diferentes atributos almacenados, gestiona de manera eficiente el almacenamiento de grandes objetos binarios, soporta el registro de operaciones de modificaci\u00f3n y adici\u00f3n de datos en la base de datos, puede operar de acuerdo con la paradigma Map\/Reduce, y ofrece replicaci\u00f3n y configuraciones de alta disponibilidad.     <\/p>\n<p><p>En la versi\u00f3n FerretDB 0.3 se implement\u00f3 el comando findAndModify, que modifica un documento pero devuelve su versi\u00f3n original. Se han implementado operadores de actualizaci\u00f3n de campos \u2014 $inc y $set. Se agreg\u00f3 soporte para la ordenaci\u00f3n de tipos de datos escalares.<br \/>\n<br \/>Fuente: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=57290\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 FerretDB 0.3, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0433\u043e \u0437\u0430\u043c\u0435\u043d\u0438\u0442\u044c \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e-\u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u0443\u044e \u0421\u0423\u0411\u0414 MongoDB \u043d\u0430 PostgreSQL \u0431\u0435\u0437 \u0432\u043d\u0435\u0441\u0435\u043d\u0438\u044f \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439 \u0432 \u043a\u043e\u0434 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439. FerretDB \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d \u043a\u0430\u043a \u043f\u0440\u043e\u043a\u0441\u0438-\u0441\u0435\u0440\u0432\u0435\u0440, \u0442\u0440\u0430\u043d\u0441\u043b\u0438\u0440\u0443\u044e\u0449\u0438\u0439 \u043e\u0431\u0440\u0430\u0449\u0435\u043d\u0438\u044f \u043a MongoDB \u0432 SQL-\u0437\u0430\u043f\u0440\u043e\u0441\u044b \u043a PostgreSQL, \u0447\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c PostgreSQL \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0430. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Go \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0. \u041f\u043e\u0442\u0440\u0435\u0431\u043d\u043e\u0441\u0442\u044c \u043c\u0438\u0433\u0440\u0430\u0446\u0438\u0438 \u043c\u043e\u0436\u0435\u0442 \u0432\u043e\u0437\u043d\u0438\u043a\u043d\u0443\u0442\u044c \u0432 \u0441\u0432\u044f\u0437\u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-104224","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 FerretDB 0.3, 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