{"id":84294,"date":"2022-01-12T10:46:52","date_gmt":"2022-01-12T09:46:52","guid":{"rendered":"https:\/\/mwtsolutions.eu\/?p=84294"},"modified":"2022-02-07T11:24:41","modified_gmt":"2022-02-07T10:24:41","slug":"apache-spark-monitorovani-je-nyni-jednodussi","status":"publish","type":"post","link":"https:\/\/i.mwtsolutions.eu\/cs\/clanky\/apache-spark-monitorovani-je-nyni-jednodussi\/","title":{"rendered":"Apache Spark monitorov\u00e1n\u00ed je nyn\u00ed jednodu\u0161\u0161\u00ed"},"content":{"rendered":"\t\t
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Apache Spark je open source framework pro big-data zpracov\u00e1n\u00ed vytvo\u0159en\u00fd pro rychlost, s vestav\u011bn\u00fdmi moduly pro streaming, SQL, strojov\u00e9 u\u010den\u00ed a zpracov\u00e1n\u00ed graf\u016f. Apache Spark m\u00e1 pokro\u010dil\u00fd spou\u0161t\u011bc\u00ed engine DAG, kter\u00fd podporuje acyklick\u00fd tok dat a v\u00fdpo\u010dty v pam\u011bti. Spark b\u011b\u017e\u00ed na Hadoop, Mesos, samostatn\u011b nebo v cloudu. M\u00e1 p\u0159\u00edstup k r\u016fzn\u00fdm zdroj\u016fm dat v\u010detn\u011b HDFS, Cassandra, HBase a S3.<\/p>

\u00a0<\/p>

Existuje mnoho komponent, kter\u00e9 se spojuj\u00ed, aby aplikace Spark fungovala. D\u016fle\u017eit\u00e9 tak\u00e9 je Apache Spark monitorov\u00e1n\u00ed. Pokud pl\u00e1nujete nasadit Spark ve sv\u00e9m produk\u010dn\u00edm prost\u0159ed\u00ed, Applications Manager<\/a> v\u00e1m umo\u017en\u00ed monitorovat r\u016fzn\u00e9 komponenty, rozum\u011bt parametr\u016fm v\u00fdkonu, dost\u00e1vat upozorn\u011bn\u00ed a v\u011bd\u011bt, jak \u0159e\u0161it probl\u00e9my.<\/strong><\/p>

Z\u00edskejte p\u0159ehled o v\u00fdkonu Sparku<\/h3>

Automaticky zjist\u011bte celou topologii slu\u017eeb va\u0161eho datov\u00e9ho kan\u00e1lu a aplikac\u00ed. Prov\u00e1d\u011bjte v re\u00e1ln\u00e9m \u010dase plnou spr\u00e1vu cluster\u016f a uzl\u016f a monitorov\u00e1n\u00ed spou\u0161t\u011bn\u00ed aplikac\u00ed Spark s vizualizac\u00ed workflow. Z\u00edskejte aktu\u00e1ln\u00ed p\u0159ehled o metrik\u00e1ch b\u011bhu clusteru, jednotliv\u00fdch uzlech a konfigurac\u00edch.<\/p>

Sledujte vyu\u017eit\u00ed zdroj\u016f<\/h3>

Spravujte prost\u0159edky tak, aby va\u0161e aplikace Spark b\u011b\u017eely optim\u00e1ln\u011b. P\u0159i p\u0159id\u00e1v\u00e1n\u00ed nov\u00fdch \u00faloh mus\u00ed operations t\u00fdmy vyv\u00e1\u017eit dostupn\u00e9 zdroje a obchodn\u00ed priority. Udr\u017eujte si p\u0159ehled o stavu sv\u00e9ho clusteru s jemn\u00fdmi statistikami v\u00fdkonu \u2013 od I\/O disku po metriky vyu\u017eit\u00ed pam\u011bti, stav uzl\u016f (v re\u00e1ln\u00e9m \u010dase) s vyu\u017eit\u00edm CPU pro v\u0161echny uzly i zapln\u011bn\u00ed haldy JVM.<\/p>

Z\u00edskejte p\u0159ehled o Spark Cores a aplikac\u00edch<\/h3>

Z\u00edskejte p\u0159ehled o metrik\u00e1ch sv\u00e9 produk\u010dn\u00ed aplikace Spark; organizujte sv\u00e9 aplikace Spark na z\u00e1klad\u011b dat definovan\u00fdch u\u017eivatelem; a rozt\u0159i\u010fte je na z\u00e1klad\u011b stavu (aktivn\u00ed, waiting, dokon\u010deno) a trv\u00e1n\u00ed b\u011bhu. Kdy\u017e \u00faloha sel\u017ee, p\u0159\u00ed\u010dinou je obvykle nedostatek jader. Monitorov\u00e1n\u00ed uzl\u016f Spark poskytuje metriky v\u010detn\u011b po\u010dtu voln\u00fdch a pou\u017e\u00edvan\u00fdch jader, tak\u017ee u\u017eivatel\u00e9 mohou prov\u00e1d\u011bt alokaci zdroj\u016f na z\u00e1klad\u011b jader.<\/p>

Pochopte v\u00fdkon RDD a Counters<\/h3>

Z\u00edskejte metriky v\u00fdkonu v\u010detn\u011b ulo\u017een\u00fdch RDD (Resilient Distributed Datasets) pro danou aplikaci, stavu \u00falo\u017ei\u0161t\u011b a vyu\u017eit\u00ed pam\u011bti dan\u00e9ho RDD a v\u0161ech Spark counters pro ka\u017ed\u00e9 va\u0161e spu\u0161t\u011bn\u00ed Spark. Z\u00edskejte hlubok\u00fd p\u0159ehled o p\u0159\u00edstupech do mezipam\u011bti na \u00farovni soubor\u016f a \u00faloh\u00e1ch paraleln\u00edho v\u00fdpisu pro potenci\u00e1ln\u00ed optimalizaci v\u00fdkonu.<\/p>

Rychlej\u0161\u00ed \u0159e\u0161en\u00ed probl\u00e9m\u016f s v\u00fdkonem<\/h3>

Z\u00edskejte okam\u017eit\u00e1 upozorn\u011bn\u00ed, kdy\u017e se vyskytnou probl\u00e9my s v\u00fdkonem sou\u010d\u00e1st\u00ed komponent Apache Spark. Uv\u011bdomte si \u00fazk\u00e1 m\u00edsta v\u00fdkonu a zjist\u011bte, kter\u00e1 aplikace zp\u016fsobuje nadm\u011brn\u00e9 zat\u00ed\u017een\u00ed. Prove\u010fte rychl\u00e1 n\u00e1pravn\u00e1 opat\u0159en\u00ed, ne\u017e se u va\u0161ich koncov\u00fdch u\u017eivatel\u016f objev\u00ed probl\u00e9my.<\/p>

Applications Manager je sou\u010d\u00e1st\u00ed sady \u0159e\u0161en\u00ed ManageEngine ITOM. Krom\u011b monitorov\u00e1n\u00ed aplikac\u00ed, v\u010detn\u011b Apache Spark monitorov\u00e1n\u00ed, m\u00e1 ITOM tak\u00e9 \u0159e\u0161en\u00ed pro zefektivn\u011bn\u00ed monitorov\u00e1n\u00ed s\u00edt\u011b, monitorov\u00e1n\u00ed server\u016f, monitorov\u00e1n\u00ed bandwidth, spr\u00e1vu konfigurace, zabezpe\u010den\u00ed firewallu, spr\u00e1vu IP adres a spr\u00e1vu port\u016f switch\u016f. To skute\u010dn\u011b d\u011bl\u00e1 ManageEngine ITOM \u0159e\u0161en\u00ed ide\u00e1ln\u00ed volbou pro v\u00edce ne\u017e 1 milion IT administr\u00e1tor\u016f po cel\u00e9m sv\u011bt\u011b.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Apache Spark je open source framework pro big-data zpracov\u00e1n\u00ed vytvo\u0159en\u00fd pro rychlost, s vestav\u011bn\u00fdmi moduly pro streaming, SQL, strojov\u00e9 u\u010den\u00ed a zpracov\u00e1n\u00ed graf\u016f. Apache Spark m\u00e1 pokro\u010dil\u00fd spou\u0161t\u011bc\u00ed engine DAG, kter\u00fd podporuje acyklick\u00fd tok dat a v\u00fdpo\u010dty v pam\u011bti. Spark b\u011b\u017e\u00ed na Hadoop, Mesos, samostatn\u011b nebo v cloudu. M\u00e1 p\u0159\u00edstup k r\u016fzn\u00fdm zdroj\u016fm dat v\u010detn\u011b […]<\/p>\n","protected":false},"author":20,"featured_media":84304,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","om_disable_all_campaigns":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_links_to":"","_links_to_target":""},"categories":[6,1],"tags":[551,442,443],"acf":[],"aioseo_notices":[],"yoast_head":"\nApache Spark monitorov\u00e1n\u00ed je nyn\u00ed jednodu\u0161\u0161\u00ed - MWT Solutions<\/title>\n<meta name=\"description\" content=\"Monitoring Apache spark s Applications Manager v\u00e1m umo\u017en\u00ed monitorovat r\u016fzn\u00e9 komponenty a rozum\u011bt parametr\u016fm v\u00fdkonu.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/i.mwtsolutions.eu\/cs\/clanky\/apache-spark-monitorovani-je-nyni-jednodussi\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Apache Spark monitorov\u00e1n\u00ed je nyn\u00ed jednodu\u0161\u0161\u00ed - 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