{"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\/no\/blog\/news\/vypusk-subd-timescaledb-1-7","title":{"rendered":"Utgivelse av databasesystemet 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\">Published<\/a><\/noindex>   utgivelsen av DBMS <noindex><a rel=\"nofollow\" href=\"https:\/\/www.timescale.com\">TimescaleDB 1.7<\/a><\/noindex>, som er designet for lagring og behandling av tidsseriedata (verdiuttrekk gjennom angitte tidsintervaller, der opptakene danner tid og et sett med verdier knyttet til den tiden). En slik lagringsform er optimal for bruksomr\u00e5der som overv\u00e5kningssystemer, handelsplattformer og systemer for innsamling av m\u00e5linger og sensorstilstander. Verkt\u00f8y tilbys for integrering med prosjektet <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-prosjektet er implementert som en utvidelse til PostgreSQL og <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\">distribueres<\/a><\/noindex> under Apache 2.0-lisensen. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\/tree\/master\/tsl\">en del av koden<\/a><\/noindex> med utvidede funksjoner leveres under en egen propriet\u00e6r lisens <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/timescale\/timescaledb\/blob\/master\/tsl\/LICENSE-TIMESCALE\">Timescale<\/a><\/noindex> (TSL), som ikke tillater endringer, forbyr bruk av koden i tredjepartsprodukter og ikke tillater gratis bruk i skybaserte databaser (database-as-a-service). <\/p>\n<p>Blant endringene i TimescaleDB 1.7:<\/p>\n<ul>\n<li class=\"l\"> St\u00f8tte for integrering med DBMS <noindex><a rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51604\">PostgreSQL 12<\/a><\/noindex>. St\u00f8tten for PostgreSQL 9.6.x og 10.x er erkl\u00e6rt foreldet (i Timescale 2.0 vil det kun v\u00e6re st\u00f8tte for PostgreSQL 11+).\n<li class=\"l\"> Atfer den nye oppdateringen, endret oppf\u00f8rselen til sp\u00f8rringer med kontinuerlig kj\u00f8rende aggregatfunksjoner seg (aggregering av kontinuerlig inkommende data i sanntid). Slike sp\u00f8rringer kombinerer n\u00e5 materialiserte visninger med nylig inkommende data som enda ikke er materialisert (tidligere dekket aggregeringen kun allerede materialiserte data). Den nye oppf\u00f8rselen gjelder for nylig opprettede kontinuerlige aggregeringer; for eksisterende visninger m\u00e5 parameteren &#171;timescaledb.materialized_only=false&#187; settes via &#171;ALTER VIEW&#187;.\n<li class=\"l\"> Noen av de avanserte livssyklusadministrasjonsverkt\u00f8yene fra den kommersielle utgaven er overf\u00f8rt til fellesskapsversjonen, inkludert mulighetene for omgruppering av data og h\u00e5ndtering av strategier for utl\u00f8ping av foreldede data (som lar deg lagre bare relevante data og automatisk slette, aggregere eller arkivere utdaterte poster).\n<\/ul>\n<p>Vi minner om at TimescaleDB-databasen gj\u00f8r det mulig \u00e5 bruke fullverdige SQL-sp\u00f8rringer for analyse av akkumulerte data, og kombinerer brukervennligheten til relasjonsdatabaser med skalerbarhet og muligheter som er karakteristiske for spesialiserte NoSQL-systemer. Oppbevaringsstrukturen er optimalisert for \u00e5 sikre h\u00f8y hastighet ved datatilf\u00f8yelse. Det st\u00f8ttes batchtilf\u00f8yelse av datasett, bruk av minnebaserte indekser, opplasting av historiske tidsplott i ettertid, samt anvendelse av transaksjoner.<\/p>\n<p>En n\u00f8kkelfunksjon ved TimescaleDB er st\u00f8tte for automatisk partisjonering av datamengder. Den innkommende datastreamen fordeles automatisk over partisjonerte tabeller. Partisjoner opprettes avhengig av tid (hver partisjon lagrer data for en viss tidsperiode) eller knyttes til en vilk\u00e5rlig n\u00f8kkel (for eksempel enheten ID, plassering, osv.). For \u00e5 optimalisere ytelsen kan partisjonerte tabeller distribueres over forskjellige disker. <\/p>\n<p>For foresp\u00f8rslene ser den partisjonerte databasen ut som en stor tabell, kjent som en hypertabell. Hypertabellen er en virtuell representasjon av mange separate tabeller der innkommende data samles. Hypertabellen brukes ikke bare for foresp\u00f8rsel og datatilf\u00f8yelse, men ogs\u00e5 for operasjoner som oppretting av indekser og endring av strukturen (&#171;ALTER TABLE&#187;), og skjuler den lavniv\u00e5 segmenterte databasen for utvikleren. Med hypertabellen kan du bruke enhver aggregatfunksjon, underforesp\u00f8rsel, sammensl\u00e5ingsoperasjoner (JOIN) med vanlige tabeller og vindusfunksjoner.<\/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 5.0.5 - 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\/no\/blog\/news\/vypusk-subd-timescaledb-1-7\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.5\" \/>\n\t\t<meta property=\"og:locale\" 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