{"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\/hu\/blog\/news\/otkryt-kod-sql-dvizhka-blazingsql-ispolzuyushhego-gpu-dlya-uskoreniya","title":{"rendered":"A GPU-t a gyors\u00edt\u00e1sra haszn\u00e1l\u00f3 BlazingSQL SQL-motor k\u00f3dja megny\u00edlt","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Bejelentve<\/a><\/noindex> az SQL-motor forr\u00e1sk\u00f3dj\u00e1nak k\u00f6zz\u00e9t\u00e9tel\u00e9r\u0151l BlazingSQL<\/a><\/noindex>, amely GPU-t haszn\u00e1l az adatfeldolgoz\u00e1s felgyors\u00edt\u00e1s\u00e1ra. A BlazingSQL nem egy teljes \u00e9rt\u00e9k\u0171 DBMS, hanem olyan motor, amely a nagy mennyis\u00e9g\u0171 adat elemz\u00e9s\u00e9re \u00e9s feldolgoz\u00e1s\u00e1ra \u00f6sszpontos\u00edt, hasonl\u00f3 feladatokkal, mint Apache Spark<\/a><\/noindex>. A k\u00f3d Python nyelven \u00edr\u00f3dott \u00e9s nyitva \u00e1ll<\/a><\/noindex> Apache 2.0 licenc alatt. <\/p>\n

a BlazingSQL alkalmas egyedi analitikai lek\u00e9rdez\u00e9sek futtat\u00e1s\u00e1ra nagy adathalmazok (t\u00f6bb t\u00edz gigab\u00e1jt) eset\u00e9n, amelyek t\u00e1bl\u00e1zatos form\u00e1tumokban t\u00e1rol\u00f3dnak (p\u00e9ld\u00e1ul napl\u00f3f\u00e1jlok, NetFlow statisztika stb.). A BlazingSQL k\u00e9pes lek\u00e9rdez\u00e9seket v\u00e9gezni nyers f\u00e1jlokb\u00f3l CSV \u00e9s Apache Parquet form\u00e1tumban, amelyek h\u00e1l\u00f3zati \u00e9s felh\u0151 alap\u00fa f\u00e1jlrendszerekben tal\u00e1lhat\u00f3k, mint p\u00e9ld\u00e1ul HDSF \u00e9s AWS S3, k\u00f6zvetlen\u00fcl az eredm\u00e9nyt a GPU mem\u00f3ri\u00e1j\u00e1ba tov\u00e1bb\u00edtva. A GPU m\u0171veleteinek p\u00e1rhuzamos\u00edt\u00e1sa \u00e9s a gyorsabb videomem\u00f3ria haszn\u00e1lata miatt a lek\u00e9rdez\u00e9sek v\u00e9grehajt\u00e1sa a BlazingSQL-ben ak\u00e1r 20-szor<\/a><\/noindex> gyorsabb, mint az Apache Spark eset\u00e9ben.<\/p>\n

\"A<\/a><\/noindex><\/center><\/p>\n

A GPU-val val\u00f3 munk\u00e1hoz az NVIDIA v\u00e1llalat r\u00e9szv\u00e9tel\u00e9vel fejlesztett k\u00f6nyvt\u00e1rgy\u0171jtem\u00e9nyt haszn\u00e1lj\u00e1k ny\u00edlt forr\u00e1sk\u00f3d\u00fa<\/a><\/noindex> k\u00f6nyvt\u00e1rak RAPIDS<\/a><\/noindex>, amely lehet\u0151v\u00e9 teszi az adatok feldolgoz\u00e1s\u00e1ra \u00e9s elemz\u00e9s\u00e9re alkalmas alkalmaz\u00e1sok fejleszt\u00e9s\u00e9t, amelyek teljesen a GPU oldal\u00e1n futnak (a CUDA alacsony szint\u0171 primit\u00edvjeinek \u00e9s a sz\u00e1m\u00edt\u00e1sok p\u00e1rhuzamos\u00edt\u00e1s\u00e1nak haszn\u00e1lat\u00e1hoz Python interf\u00e9sz<\/a><\/noindex> bocs\u00e1t rendelkez\u00e9sre). <\/p>\n

A BlazingSQL lehet\u0151s\u00e9get ny\u00fajt SQL haszn\u00e1lat\u00e1ra az adatok feldolgoz\u00e1s\u00e1nak API-j\u00e1hoz cuUDF<\/a><\/noindex> (based on Apache Arrow<\/a><\/noindex>), amely a RAPIDS-ben alkalmazott. A BlazingSQL egy extra r\u00e9teg, amely a cuDF f\u00f6l\u00f6tt m\u0171k\u00f6dik, \u00e9s a cuIO k\u00f6nyvt\u00e1rat haszn\u00e1lja az adatok lemezes olvas\u00e1s\u00e1hoz. Az SQL lek\u00e9rdez\u00e9sek cuUDF f\u00fcggv\u00e9nyh\u00edv\u00e1sokk\u00e1 alakulnak, lehet\u0151v\u00e9 t\u00e9ve az adatok bet\u00f6lt\u00e9s\u00e9t a GPU-ra, \u00e9s m\u0171veletek v\u00e9grehajt\u00e1s\u00e1t a bet\u00f6lt\u00e9s, aggreg\u00e1l\u00e1s \u00e9s sz\u0171r\u00e9s ter\u00e9n. T\u00e1mogatott a t\u00f6bb ezer GPU-t lefed\u0151 elosztott konfigur\u00e1ci\u00f3k l\u00e9trehoz\u00e1sa. <\/p>\n

A BlazingSQL jelent\u0151sen megk\u00f6nny\u00edti az adatokkal val\u00f3 munk\u00e1t \u2014 a sz\u00e1z funkci\u00f3h\u00edv\u00e1s helyett elegend\u0151 egy SQL-lek\u00e9rdez\u00e9s. Az SQL alkalmaz\u00e1sa lehet\u0151v\u00e9 teszi a RAPIDS integr\u00e1l\u00e1s\u00e1t a megl\u00e9v\u0151 analitikai rendszerekkel an\u00e9lk\u00fcl, hogy specifikus feldolgoz\u00f3kat \u00edrna, \u00e9s elker\u00fclve az adatok \u00e1tmeneti bet\u00f6lt\u00e9s\u00e9t egy tov\u00e1bbi DBMS-be, de
\nmeg\u0151rzi a RAPIDS minden r\u00e9sz\u00e9vel val\u00f3 teljes kompatibilit\u00e1st, \u00e1tford\u00edtva a megl\u00e9v\u0151 funkcionalit\u00e1st SQL-re, \u00e9s biztos\u00edtva a cuDF szint\u0171 teljes\u00edtm\u00e9nyt. A k\u00f6vetkez\u0151k t\u00e1mogat\u00e1sa is biztos\u00edtott a XGBoost<\/a><\/noindex> \u00e9s cuML<\/a><\/noindex> k\u00f6nyvt\u00e1rakkal val\u00f3 integr\u00e1ci\u00f3ra az analitikai \u00e9s g\u00e9pi tanul\u00e1si feladatok megold\u00e1s\u00e1hoz. <\/p>\n

<\/a><\/noindex><\/p>\n

Forr\u00e1s: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\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 […]<\/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\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Megny\u00edlt a BlazingSQL SQL-motor k\u00f3dja, amely GPU-t haszn\u00e1l a gyors\u00edt\u00e1shoz | ProHoster","description":"K\u00f6z\u00f6lt\u00e9k az SQL-motor forr\u00e1ssz\u00f6veg\u00e9nek megnyit\u00e1s\u00e1t","canonical_url":"https:\/\/prohoster.info\/hu\/blog\/news\/otkryt-kod-sql-dvizhka-blazingsql-ispolzuyushhego-gpu-dlya-uskoreniya","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"hu_HU","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u041e\u0442\u043a\u0440\u044b\u0442 \u043a\u043e\u0434 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 | ProHoster","og:description":"\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","og:url":"https:\/\/prohoster.info\/hu\/blog\/news\/otkryt-kod-sql-dvizhka-blazingsql-ispolzuyushhego-gpu-dlya-uskoreniya","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-10-31T19:14:11+00:00","article:modified_time":"2019-10-31T19:14:11+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"36843","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-01-22 05:02:19","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-03-01 01:37:23","updated":"2026-01-22 05:02:19","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/36843","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/comments?post=36843"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/posts\/36843\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media\/27603"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/media?parent=36843"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/categories?post=36843"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/hu\/wp-json\/wp\/v2\/tags?post=36843"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}