{"id":99711,"date":"2021-04-13T16:22:39","date_gmt":"2021-04-13T14:22:39","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-opublikoval-yazyk-logicheskogo-programmirovaniya-logica"},"modified":"2021-04-13T16:22:39","modified_gmt":"2021-04-13T14:22:39","slug":"google-opublikoval-yazyk-logicheskogo-programmirovaniya-logica","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/news\/google-opublikoval-yazyk-logicheskogo-programmirovaniya-logica","title":{"rendered":"Google ha pubblicato il linguaggio di programmazione logico Logica","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>L'azienda Google ha presentato un nuovo linguaggio dichiarativo di programmazione logica chiamato Logica, progettato per manipolare i dati e tradurre programmi in SQL. Questo nuovo linguaggio \u00e8 orientato a coloro che desiderano utilizzare la sintassi della programmazione logica nella scrittura di query per i database. Attualmente, il codice SQL risultante pu\u00f2 essere eseguito nello storage di Google BigQuery o nei database PostgreSQL e SQLite, il cui supporto \u00e8 ancora sperimentale. In futuro, si prevede di ampliare il numero di dialetti SQL supportati. Il codice del progetto \u00e8 scritto in Python ed \u00e8 pubblicato sotto licenza Apache 2.0.    <\/p>\n<p>Logica \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u0442 \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0435 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u043e\u0433\u043e \u0432 Google \u044f\u0437\u044b\u043a\u0430 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 Yedalog \u0438 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u0438, \u043d\u0435\u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b\u0439 \u0432 \u0448\u0442\u0430\u0442\u043d\u043e\u043c SQL. \u0417\u0430\u043f\u0440\u043e\u0441\u044b \u0432 Logica \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u0432 \u0444\u043e\u0440\u043c\u0435 \u043d\u0430\u0431\u043e\u0440\u0430 \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0443\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0438\u0439. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0442\u0441\u044f \u043c\u043e\u0434\u0443\u043b\u0438, \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0438\u043c\u043f\u043e\u0440\u0442\u0430 \u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f Logica \u0438\u0437 \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0439 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438 Jupyter Notebook.      \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0434\u043b\u044f  \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0441\u0432\u043e\u0434\u043a\u0438 \u043f\u0435\u0440\u0441\u043e\u043d, \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0447\u0430\u0441\u0442\u043e \u0443\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u043c\u044b\u0445 \u0432 \u043d\u043e\u0432\u043e\u0441\u0442\u044f\u0445 \u0437\u0430 2020 \u0433\u043e\u0434, \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0443\u044e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0443 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Logica \u0434\u043b\u044f \u043e\u0431\u0440\u0430\u0449\u0435\u043d\u0438\u044f \u043a \u0411\u0414 GDELT:       @OrderBy(Mentions, &#171;mentions desc&#187;);     @Limit(Mentions, 10);     Mentions(person:, mentions? += 1) distinct :-       gdelt-bq.gdeltv2.gkg(persons:, date:),       Substr(ToString(date), 0, 4) == &#171;2020&#187;,       the_persons == Split(persons, &#171;;&#187;),       person in the_persons;       $ logica mentions.l run Mentions     +&#8212;&#8212;&#8212;&#8212;&#8212;-+&#8212;&#8212;&#8212;&#8212;&#8212;-+     |     person     | mentions_count |     +&#8212;&#8212;&#8212;&#8212;&#8212;-+&#8212;&#8212;&#8212;&#8212;&#8212;-+     | donald trump   |        3077130 |     | los angeles    |        1078412 |     | joe biden      |        1054827 |     | george floyd   |         872919 |     | boris johnson  |         674786 |     | barack obama   |         438181 |     | vladimir putin |         410587 |     | bernie sanders |         387383 |     | andrew cuomo   |         345462 |     | las vegas      |         325487 |     +&#8212;&#8212;&#8212;&#8212;&#8212;-+&#8212;&#8212;&#8212;&#8212;&#8212;-+          <\/p>\n<p> La scrittura di query SQL complesse porta alla necessit\u00e0 di scrivere catene lunghe e poco intuitive, che ostacolano il riutilizzo delle parti della query e ne rendono difficile la manutenzione. Per calcoli ripetitivi standard in SQL, \u00e8 possibile utilizzare viste e funzioni, ma esse non supportano le operazioni di importazione e non offrono la flessibilit\u00e0 tipica dei linguaggi di alto livello (ad esempio, non \u00e8 possibile passare una funzione a un'altra funzione). Logica consente di comporre programmi a partire da piccoli blocchi logici comprensibili e riutilizzabili, che possono essere testati, associati a nomi specifici e raggruppati in pacchetti disponibili per l'uso in altri progetti.<br \/>\n<br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=54960\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043d\u043e\u0432\u044b\u0439 \u0434\u0435\u043a\u043b\u0430\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u044f\u0437\u044b\u043a \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f Logica, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u043c\u0430\u043d\u0438\u043f\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0438 \u0442\u0440\u0430\u043d\u0441\u043b\u0438\u0440\u0443\u044e\u0449\u0438\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u0432 \u044f\u0437\u044b\u043a SQL. \u041d\u043e\u0432\u044b\u0439 \u044f\u0437\u044b\u043a \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d \u043d\u0430 \u0442\u0435\u0445, \u043a\u0442\u043e \u0445\u043e\u0447\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u0440\u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u0438 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043a \u0411\u0414. \u0412 \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0438\u0440\u0443\u044e\u0449\u0438\u0439 SQL-\u043a\u043e\u0434 \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c\u0441\u044f \u0432 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 Google BigQuery \u0438\u043b\u0438 \u0432 \u0421\u0423\u0411\u0414 PostgreSQL \u0438 SQLite, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043f\u043e\u043a\u0430 [&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-99711","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043d\u043e\u0432\u044b\u0439 \u0434\u0435\u043a\u043b\u0430\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u044f\u0437\u044b\u043a \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f Logica, 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