{"id":36843,"date":"2019-10-31T22:14:11","date_gmt":"2019-10-31T19:14:11","guid":{"rendered":"https:\/\/prohoster.info\/blog\/otkryt-kod-sql-dvizhka-blazingsql-ispolzuyushhego-gpu-dlya-uskoreniya\/"},"modified":"2019-10-31T22:14:11","modified_gmt":"2019-10-31T19:14:11","slug":"otkryt-kod-sql-dvizhka-blazingsql-ispolzuyushhego-gpu-dlya-uskoreniya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/otkryt-kod-sql-dvizhka-blazingsql-ispolzuyushhego-gpu-dlya-uskoreniya","title":{"rendered":"Koden f\u00f6r SQL-motorn BlazingSQL, som anv\u00e4nder GPU f\u00f6r att p\u00e5skynda bearbetningen, har blivit \u00f6ppen.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/blog.blazingdb.com\/blazingsql-is-now-open-source-b859d342ec20\">Tillk\u00e4nnagivet<\/a><\/noindex> om \u00f6ppnandet av k\u00e4llkoden f\u00f6r SQL-motorn  <noindex><a rel=\"nofollow\" href=\"https:\/\/rapids.ai\/blazingsql.html\">BlazingSQL<\/a><\/noindex>, som anv\u00e4nder GPU f\u00f6r att p\u00e5skynda databehandling. BlazingSQL \u00e4r inte en fullst\u00e4ndig databas, utan positioneras som en motor f\u00f6r analys och bearbetning av stora datam\u00e4ngder, j\u00e4mf\u00f6rbar med <noindex><a rel=\"nofollow\" href=\"https:\/\/spark.apache.org\/\">Apache Spark<\/a><\/noindex>. Koden \u00e4r skriven i Python och <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/blazingdb\/pyBlazing\/\">\u00e4r \u00f6ppen<\/a><\/noindex> \u00e4r licensierad under Apache 2.0. <\/p>\n<p>BlazingSQL \u00e4r l\u00e4mplig f\u00f6r att utf\u00f6ra enskilda analytiska fr\u00e5gor p\u00e5 stora datam\u00e4ngder (tiotals gigabyte), som lagras i tabellformat (till exempel loggar, NetFlow-statistik osv.). BlazingSQL kan utf\u00f6ra fr\u00e5gor fr\u00e5n r\u00e5filer i formaten CSV och Apache Parquet, som finns i n\u00e4tverks- och molnfilssystem som HDFS och AWS S3, och \u00f6verf\u00f6ra resultatet direkt till GPU-minnet. Tack vare eventuell parallellbearbetning i GPU och anv\u00e4ndningen av snabbare videominne, utf\u00f6rs fr\u00e5gorna i BlazingSQL upp till <noindex><a rel=\"nofollow\" href=\"https:\/\/blog.blazingdb.com\/blazingsql-the-gpu-sql-engine-now-runs-over-20x-faster-than-apache-spark-1b0bffc990a9\">20 g\u00e5nger<\/a><\/noindex>  snabbare \u00e4n i Apache Spark.<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/miro.medium.com\/max\/1000\/1*Pnz_GqmihBX8Hyrxdwgj8w.png\"><img decoding=\"async\" alt=\"Koden f\u00f6r SQL-motorn BlazingSQL, som anv\u00e4nder GPU f\u00f6r att p\u00e5skynda bearbetningen, har blivit \u00f6ppen.\" src=\"\/wp-content\/uploads\/2019\/08\/2a3cc86f97daf9ea00fc716ba02fa283.jpeg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p>F\u00f6r att arbeta med GPU anv\u00e4nds en upps\u00e4ttning <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/rapidsai\/\">\u00f6ppna<\/a><\/noindex> bibliotek <noindex><a rel=\"nofollow\" href=\"https:\/\/rapids.ai\/\">RAPIDS<\/a><\/noindex>, som g\u00f6r det m\u00f6jligt att skapa databehandlings- och analysapplikationer som k\u00f6rs helt p\u00e5 GPU-sidan (en <noindex><a rel=\"nofollow\" href=\"https:\/\/rapidsai.github.io\/projects\/cudf\/en\/0.8.0\/api.html\">Python-gr\u00e4nssnitt<\/a><\/noindex> f\u00f6r att anv\u00e4nda l\u00e5gniv\u00e5 CUDAs primitiv och parallellisera ber\u00e4kningar). <\/p>\n<p>BlazingSQL erbjuder m\u00f6jligheten att anv\u00e4nda SQL ist\u00e4llet f\u00f6r databehandlings-API:et <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/rapidsai\/cudf\">cuUDF<\/a><\/noindex> (baserat p\u00e5 <noindex><a rel=\"nofollow\" href=\"http:\/\/arrow.apache.org\/\">Apache Arrow<\/a><\/noindex>), som anv\u00e4nds i RAPIDS. BlazingSQL \u00e4r ett extra lager som fungerar ovanp\u00e5 cuDF och anv\u00e4nder cuIO-biblioteket f\u00f6r att l\u00e4sa data fr\u00e5n disk. SQL-fr\u00e5gor \u00f6vers\u00e4tts till anrop av cuUDF-funktioner, vilket g\u00f6r det m\u00f6jligt att ladda data till GPU och utf\u00f6ra sammanslagnings-, aggregerings- och filtreringsoperationer p\u00e5 dem. St\u00f6d f\u00f6r att skapa distribuerade konfigurationer som omfattar tusentals GPU:er st\u00f6ds. <\/p>\n<p> BlazingSQL \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u0443\u043f\u0440\u043e\u0449\u0430\u0435\u0442 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 &#8212; \u0432\u043c\u0435\u0441\u0442\u043e \u0441\u043e\u0442\u043d\u0438 \u0432\u044b\u0437\u043e\u0432\u043e\u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 cuDF \u043c\u043e\u0436\u043d\u043e \u043e\u0431\u043e\u0439\u0442\u0438\u0441\u044c \u043e\u0434\u043d\u0438\u043c SQL-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u043c. \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 SQL \u0434\u0430\u0451\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0442\u044c \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044e RAPIDS \u0441  \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u043c\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c\u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0438, \u0431\u0435\u0437 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u0447\u043d\u044b\u0445 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432 \u0438 \u043d\u0435 \u043f\u0440\u0438\u0431\u0435\u0433\u0430\u044f \u043a \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043e\u0447\u043d\u043e\u0439 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0421\u0423\u0411\u0414, \u043d\u043e<br \/>\nsamtidigt beh\u00e5lla fullst\u00e4ndig kompatibilitet med alla delar av RAPIDS, \u00f6vers\u00e4tta befintlig funktionalitet till SQL och s\u00e4kerst\u00e4lla prestanda p\u00e5 niv\u00e5n av cuDF. St\u00f6d f\u00f6r att integrera med biblioteken <noindex><a rel=\"nofollow\" href=\"https:\/\/xgboost.readthedocs.io\/en\/latest\/\">XGBoost<\/a><\/noindex> och  <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/rapidsai\/cuml\">cuML<\/a><\/noindex> f\u00f6r att l\u00f6sa analytiska och maskininl\u00e4rningsuppgifter. <\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>K\u00e4lla: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51222\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u0431\u044a\u044f\u0432\u043b\u0435\u043d\u043e \u043e\u0431 \u043e\u0442\u043a\u0440\u044b\u0442\u0438\u0438 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0445 \u0442\u0435\u043a\u0441\u0442\u043e\u0432 SQL-\u0434\u0432\u0438\u0436\u043a\u0430 BlazingSQL, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0435\u0433\u043e GPU \u0434\u043b\u044f \u0443\u0441\u043a\u043e\u0440\u0435\u043d\u0438\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445. BlazingSQL \u043d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u043e\u0439 \u0421\u0423\u0411\u0414, \u0430 \u043f\u043e\u0437\u0438\u0446\u0438\u043e\u043d\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043a\u0430\u043a \u0434\u0432\u0438\u0436\u043e\u043a \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043d\u0430\u0431\u043e\u0440\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445, \u0441\u0440\u0430\u0432\u043d\u0438\u043c\u044b\u0439 \u043f\u043e \u0441\u0432\u043e\u0438\u043c \u0437\u0430\u0434\u0430\u0447\u0430\u043c \u0441 Apache Spark. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0438 \u043e\u0442\u043a\u0440\u044b\u0442 \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0. BlazingSQL \u043f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0435\u0434\u0438\u043d\u0438\u0447\u043d\u044b\u0445 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043d\u0430\u0434 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27603,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36843","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u0431\u044a\u044f\u0432\u043b\u0435\u043d\u043e \u043e\u0431 \u043e\u0442\u043a\u0440\u044b\u0442\u0438\u0438 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