{"id":78346,"date":"2020-04-18T19:42:08","date_gmt":"2020-04-18T17:42:08","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-subd-timescaledb-1-7"},"modified":"2020-04-18T19:42:08","modified_gmt":"2020-04-18T17:42:08","slug":"vypusk-subd-timescaledb-1-7","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/news\/vypusk-subd-timescaledb-1-7","title":{"rendered":"Udgivelse af databasen TimescaleDB 1.7","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\/releases\/tag\/1.7.0\">Publiceret<\/a><\/noindex>   udgivelse af databaser <noindex><a rel=\"nofollow\" href=\"https:\/\/www.timescale.com\">TimescaleDB 1.7<\/a><\/noindex>, designet til at lagre og behandle data i form af tidsserier (v\u00e6rdiafsk\u00e6ringer af parametre med bestemte tidsinterval, hvor optagelsen danner tid og et s\u00e6t v\u00e6rdier, der svarer til denne tid). Denne lagringsform er optimal til brug som overv\u00e5gningssystemer, handelsplatforme og systemer til indsamling af m\u00e5linger og sensorstatus. Der tilbydes midler til integration med projektet <noindex><a rel=\"nofollow\" href=\"https:\/\/grafana.com\/\">Grafana<\/a><\/noindex> og <noindex><a rel=\"nofollow\" href=\"https:\/\/prometheus.io\/\">Prometheus<\/a><\/noindex>. <\/p>\n<p>TimescaleDB-projektet er implementeret som en udvidelse til PostgreSQL og <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\">distribueres<\/a><\/noindex> er under Apache 2.0-licensen. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\/tree\/master\/tsl\">En del af koden<\/a><\/noindex> med udvidede funktioner leveres under en separat propriet\u00e6r licens <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\/blob\/master\/tsl\/LICENSE-TIMESCALE\">Timescale<\/a><\/noindex> (TSL), der ikke tillader \u00e6ndringer, forbyder brugen af koden i tredjepartsprodukter og ikke tillader gratis brug i cloud-database (database-as-a-service). <\/p>\n<p>Blandt \u00e6ndringerne i TimescaleDB 1.7:<\/p>\n<ul>\n<li class=\"l\"> Tilf\u00f8jet support til integration med databaser <noindex><a rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51604\">PostgreSQL 12<\/a><\/noindex>. Underst\u00f8ttelsen af PostgreSQL 9.6.x og 10.x er blevet erkl\u00e6ret for\u00e6ldet (i Timescale 2.0 vil der kun v\u00e6re st\u00f8tte for PostgreSQL 11+).\n<li class=\"l\"> Adf\u00e6rd for foresp\u00f8rgsler med l\u00f8bende udf\u00f8rte aggregatfunktioner er \u00e6ndret (aggregering af kontinuerligt modtagne data i realtid). S\u00e5danne foresp\u00f8rgsler kombinerer nu materialiserede visninger med nyligt modtagne data, som endnu ikke er materialiserede (tidligere d\u00e6kkede aggregering kun allerede materialiserede data). Den nye adf\u00e6rd g\u00e6lder for nyskabte l\u00f8bende aggregeringer; for eksisterende visninger skal parameteren &#171;timescaledb.materialized_only=false&#187; s\u00e6ttes via &#171;ALTER VIEW&#187;.\n<li class=\"l\"> Nogle avancerede funktioner til livscyklusadministration af data er blevet overf\u00f8rt fra den kommercielle version til community-versionen, herunder muligheden for at omgruppere data og h\u00e5ndtere politikker for udskydelse af for\u00e6ldede data (g\u00f8r det muligt kun at opbevare aktuelle data og automatisk slette, aggregere eller arkivere for\u00e6ldede poster).\n<\/ul>\n<p>Lad os huske, at databaseh\u00e5ndteringssystemet TimescaleDB muligg\u00f8r anvendelse af fuldgyldige SQL-foresp\u00f8rgsler til analyse af indsamlede data, hvilket kombinerer bekvemmeligheden ved arbejdet, som er kendetegnende for relationelle databaser, med skalerbarhed og funktioner, der findes i specialiserede NoSQL-systemer. Lagerm\u00f8nstret er optimeret til at sikre h\u00f8j hastighed ved dataindsamling. Batch-inds\u00e6ttelse af datas\u00e6t underst\u00f8ttes, brug af hukommelseslagrede indekser, indl\u00e6sning af historiske udsnit bagud i tiden og anvendelse af transaktioner.<\/p>\n<p>En n\u00f8glefunktion ved TimescaleDB er underst\u00f8ttelsen af automatisk partitionering af datavolumenet. Den indkommende datastream fordeles automatisk over partitionerede tabeller. Partitioner oprettes baseret p\u00e5 tid (hvor hver partition indeholder data for en bestemt tidsperiode) eller knyttet til en vilk\u00e5rlig n\u00f8gle (f.eks. en enhedsidentifikator, placering osv.). For at optimere ydeevnen kan partitionerede tabeller v\u00e6re fordelt p\u00e5 forskellige diske. <\/p>\n<p>For foresp\u00f8rgsler ser den partitionerede database ud som \u00e9n stor tabel, kaldet en hypertabel. Hypertabellen er en virtuel repr\u00e6sentation af mange separate tabeller, hvor de indkommende data opbevares. Hypertabellen bruges ikke kun til foresp\u00f8rgsler og inds\u00e6ttelse af data, men ogs\u00e5 til operationer som oprettelse af indekser og \u00e6ndring af strukturen (&#171;ALTER TABLE&#187;), hvilket skjuler den lavniveau segmenterede struktur af databasen for udvikleren. Med hypertabellen kan der anvendes alle aggregatfunktioner, underforesp\u00f8rgsler, sammenfletningsoperationer (JOIN) med almindelige tabeller og vinduesfunktioner.<\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Kilde: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=52759\">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 \u0421\u0423\u0411\u0414 TimescaleDB 1.7, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0444\u043e\u0440\u043c\u0435 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0433\u043e 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[&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-78346","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - 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 \u0421\u0423\u0411\u0414 TimescaleDB.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/da\/blog\/news\/vypusk-subd-timescaledb-1-7\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.3\" \/>\n\t\t<meta property=\"og:locale\" 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