{"id":103715,"date":"2022-04-05T15:36:50","date_gmt":"2022-04-05T13:36:50","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-ferretdb-0-1-realizaczii-mongodb-na-baze-subd-postgresql"},"modified":"2022-04-05T15:36:50","modified_gmt":"2022-04-05T13:36:50","slug":"vypusk-ferretdb-0-1-realizaczii-mongodb-na-baze-subd-postgresql","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/news\/vypusk-ferretdb-0-1-realizaczii-mongodb-na-baze-subd-postgresql","title":{"rendered":"Uscita di FerretDB 0.1, implementazione di MongoDB basata su PostgreSQL","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00c8 stata pubblicata la versione 0.1 del progetto FerretDB (ex MangoDB), che consente di sostituire il database MongoDB orientato ai documenti con PostgreSQL senza modificare il codice delle applicazioni. FerretDB \u00e8 implementato come server proxy, che traduce le richieste a MangoDB in query SQL per PostgreSQL, permettendo cos\u00ec di utilizzare PostgreSQL come effettivo repository. Il codice \u00e8 scritto in Go e distribuito sotto la licenza Apache 2.0.        <\/p>\n<p>La necessit\u00e0 di migrazione pu\u00f2 sorgere a causa del passaggio di MongoDB a una licenza non libera SSPL, che si basa sulla licenza AGPLv3, ma non \u00e8 aperta in quanto contiene un requisito discriminatorio di fornitura sotto la licenza SSPL non solo del codice dell'applicazione stessa, ma anche dei codici sorgente di tutti i componenti coinvolti nella fornitura del servizio cloud.     <\/p>\n<p>FerretDB si rivolge a quegli utenti che non utilizzano le funzionalit\u00e0 avanzate di MongoDB nelle loro applicazioni, ma desiderano utilizzare un stack software completamente open source. Attualmente, FerretDB supporta solo alcune delle funzionalit\u00e0 di MongoDB pi\u00f9 comunemente usate nelle applicazioni standard. In futuro si prevede di raggiungere la piena compatibilit\u00e0 con i driver di MongoDB e di offrire la possibilit\u00e0 di utilizzare FerretDB come una sostituzione trasparente di MongoDB.      <\/p>\n<p>Ricordiamo che MongoDB occupa un'interfaccia tra sistemi rapidi e scalabili che gestiscono dati in formato chiave\/valore e database relazionali, funzionali e facili da interrogare. MongoDB supporta la memorizzazione di documenti in un formato simile a JSON, possiede un linguaggio abbastanza flessibile per la creazione di query, pu\u00f2 creare indici per vari attributi memorizzati, gestisce in modo efficiente la memorizzazione di grandi oggetti binari, supporta il logging delle operazioni relative a modifiche e aggiunte di dati nel database, pu\u00f2 operare secondo la paradigma Map\/Reduce, ed \u00e8 in grado di supportare la replica e la creazione di configurazioni a prova di guasto.     <\/p>\n<p>Nella versione 0.1.0 di FerretDB \u00e8 stato completamente ridisegnato il metodo di estrazione dei dati da PostgreSQL. In precedenza, per ogni richiesta in arrivo da MongoDB veniva generata una singola query SQL a PostgreSQL, utilizzando funzioni per lavorare con il formato JSON e filtrando i risultati sul lato di PostgreSQL. A causa delle differenze nella semantica delle funzioni json tra PostgreSQL e MongoDB, si riscontravano comportamenti incoerenti durante il confronto e l'ordinamento di diversi tipi. Per risolvere questo problema, ora viene estratto un set di dati sovrabbondante da PostgreSQL, mentre il filtering dei risultati avviene sul lato di FerretDB, il che ha permesso di replicare il comportamento di MongoDB nella maggior parte delle situazioni.     <\/p>\n<p>\u0426\u0435\u043d\u043e\u0439 \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u044f \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441\u0442\u0430\u043b\u043e \u0441\u043d\u0438\u0436\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432 \u0431\u0443\u0434\u0443\u0449\u0438\u0445 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u0445 \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u044e\u0442 \u043a\u043e\u043c\u043f\u0435\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u0430 \u0441\u0447\u0451\u0442 \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0439 \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u043d\u0430 \u0441\u0442\u043e\u0440\u043e\u043d\u0435 FerretDB \u0442\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u0434\u043b\u044f \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043d\u0430\u0431\u043b\u044e\u0434\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0441\u0445\u043e\u0436\u0434\u0435\u043d\u0438\u0435 \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u044f. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0437\u0430\u043f\u0440\u043e\u0441 &#171;db.collection.find({_id: &#8216;some-id-value&#8217;})&#187; \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0446\u0435\u043b\u0438\u043a\u043e\u043c \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u043d \u0432 PostgreSQL. \u041f\u0435\u0440\u0432\u0438\u0447\u043d\u043e\u0439 \u0437\u0430\u0434\u0430\u0447\u0435\u0439 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u043d\u0430 \u0434\u0430\u043d\u043d\u043e\u043c \u044d\u0442\u0430\u043f\u0435 \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044f \u043d\u0430\u0437\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0434\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u0435 \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441 MongoDB, \u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043f\u043e\u043a\u0430 \u043e\u0442\u043e\u0434\u0432\u0438\u0433\u0430\u0435\u0442\u0441\u044f \u043d\u0430 \u0432\u0442\u043e\u0440\u043e\u0439 \u043f\u043b\u0430\u043d.  \u0418\u0437 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439 \u0432 \u043d\u043e\u0432\u043e\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 \u043e\u0442\u043c\u0435\u0447\u0430\u0435\u0442\u0441\u044f \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0432\u0441\u0435\u0445 \u0431\u0438\u0442\u043e\u0432\u044b\u0445 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u043e\u0432, \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0430 \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f &#171;$eq&#187;, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u043e\u0432 &#171;$elemMatch&#187; \u0438  &#171;$bitsAllClear&#187;.<br \/>\n<br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56971\">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 0.1 (\u0431\u044b\u0432\u0448\u0438\u0439 MangoDB), \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 MangoDB \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 [&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-103715","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - 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 0.1 (\u0431\u044b\u0432\u0448\u0438\u0439 MangoDB), 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