{"id":30268,"date":"2019-10-31T21:34:35","date_gmt":"2019-10-31T18:34:35","guid":{"rendered":"https:\/\/prohoster.info\/blog\/kak-peremeshhat-vygruzhat-i-integrirovat-ochen-bolshie-dannye-dyoshevo-i-bystro-chto-takoe-pushdown-optimizatsiya\/"},"modified":"2019-10-31T21:34:35","modified_gmt":"2019-10-31T18:34:35","slug":"kak-peremeshhat-vygruzhat-i-integrirovat-ochen-bolshie-dannye-dyoshevo-i-bystro-chto-takoe-pushdown-optimizatsiya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/kak-peremeshhat-vygruzhat-i-integrirovat-ochen-bolshie-dannye-dyoshevo-i-bystro-chto-takoe-pushdown-optimizatsiya","title":{"rendered":"Si t\u00eb transferoni, shkarkoni dhe integroni t\u00eb dh\u00ebna shum\u00eb t\u00eb m\u00ebdha me pak kosto dhe shpejt? \u00c7far\u00eb \u00ebsht\u00eb optimizimi pushdown?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\u00c7do operacion me t\u00eb dh\u00ebna t\u00eb m\u00ebdha k\u00ebrkon kapacitete t\u00eb m\u00ebdha llogarit\u00ebse. Shkarkimi i zakonsh\u00ebm i t\u00eb dh\u00ebnave nga nj\u00eb baz\u00eb n\u00eb Hadoop mund t\u00eb zgjas\u00eb jav\u00eb ose t\u00eb kushtoj\u00eb si nj\u00eb krah avioni. Nuk d\u00ebshiron t\u00eb pres\u00ebsh dhe t\u00eb shpenzosh? Balanco ngarkes\u00ebn n\u00eb platforma t\u00eb ndryshme. Nj\u00eb nga m\u00ebnyrat \u00ebsht\u00eb optimizimi i pushdown.<\/p>\n

<\/p>\n

K\u00ebrkova q\u00eb trajneri kryesor n\u00eb Rusi p\u00ebr zhvillimin dhe administrimin e produkteve Informatica, Aleksej Ananjev, t\u00eb flas\u00eb p\u00ebr funksionin e optimizimit t\u00eb pushdown n\u00eb Informatica Big Data Management (BDM). A keni m\u00ebsuar ndonj\u00ebher\u00eb t\u00eb punoni me produktet Informatica? Me siguri Aleksej ju ka m\u00ebsuar bazat e PowerCenter dhe ka shpjeguar se si ndihmohet n\u00eb nd\u00ebrtimin e mappimeve. <\/p>\n

<\/p>\n

Aleksej Ananjev, drejtori i departamentit t\u00eb trajnimeve n\u00eb DIS Group<\/strong><\/p>\n

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\u00c7far\u00eb \u00ebsht\u00eb pushdown?<\/strong><\/p>\n

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Shum\u00eb prej jush tashm\u00eb jan\u00eb t\u00eb njohur me Informatica Big Data Management (BDM). Produkti \u00ebsht\u00eb n\u00eb gjendje t\u00eb integroj\u00eb t\u00eb dh\u00ebna t\u00eb m\u00ebdha nga burime t\u00eb ndryshme, t'i l\u00ebviz\u00eb ato midis sistemeve t\u00eb ndryshme, siguron qasje t\u00eb leht\u00eb p\u00ebr to, lejon profilizimin e tyre dhe shum\u00eb m\u00eb tep\u00ebr.
\nN\u00eb duar t\u00eb afta, BDM \u00ebsht\u00eb n\u00eb gjendje t\u00eb b\u00ebj\u00eb mrekulli: detyrat do t\u00eb kryhen shpejt dhe me burime t\u00eb minimizuara llogarits\u00eb. <\/p>\n

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A do d\u00ebshironi gjithashtu? M\u00ebsoni t\u00eb p\u00ebrdorni funksionin pushdown n\u00eb BDM p\u00ebr t\u00eb shp\u00ebrndar\u00eb ngarkes\u00ebn e llogaritjes midis platformave t\u00eb ndryshme. Teknologjia pushdown mund\u00ebson kthimin e mapimit n\u00eb nj\u00eb skenar dhe zgjedhjen e mjedisit ku do t\u00eb ekzekutohet ky skenar. Kjo mund\u00ebsi zgjedhjeje lejon kombinimin e forcave t\u00eb ndryshme t\u00eb platformave dhe arritjen e performanc\u00ebs maksimale t\u00eb tyre.<\/p>\n

<\/p>\n

P\u00ebr t\u00eb konfiguruar mjedisin e ekzekutimit t\u00eb skenarit, duhet t\u00eb zgjidhni llojin e pushdown. Skripti mund t\u00eb ekzekutohet plot\u00ebsisht n\u00eb Hadoop ose t\u00eb shp\u00ebrndahen pjes\u00ebrisht midis burimit dhe marr\u00ebsit. Ka 4 lloje t\u00eb mundshme pushdown. Mapimi nuk mund t\u00eb kthehet n\u00eb skript (native). Mapimi mund t\u00eb ekzekutohet sa m\u00eb shum\u00eb q\u00eb t\u00eb jet\u00eb e mundur n\u00eb burim (source) ose plot\u00ebsisht n\u00eb burim (full). Gjithashtu, mapimi mund t\u00eb kthehet n\u00eb skript Hadoop (none).<\/p>\n

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

Optimizimi i pushdown<\/strong><\/p>\n

<\/p>\n

K\u00ebto 4 lloje mund t\u00eb kombinohen n\u00eb m\u00ebnyra t\u00eb ndryshme \u2013 duke optimizuar pushdown p\u00ebr nevojat specifike t\u00eb sistemit. P\u00ebr shembull, shpesh \u00ebsht\u00eb m\u00eb e arsyeshme t\u00eb nxirreni t\u00eb dh\u00ebnat nga nj\u00eb baz\u00eb t\u00eb dh\u00ebnash, duke p\u00ebrdorur aft\u00ebsit\u00eb e saj. Nd\u00ebrsa transformimi i t\u00eb dh\u00ebnave duhet t\u00eb b\u00ebhet nga Hadoop, p\u00ebr t\u00eb mos e ngarkuar vet\u00eb baz\u00ebn e t\u00eb dh\u00ebnave.<\/p>\n

<\/p>\n

Le t\u00eb shqyrtojm\u00eb nj\u00eb rast ku si burimi ashtu edhe marr\u00ebsi ndodhen n\u00eb DB, dhe platforma e ekzekutimit t\u00eb transformimeve mund t\u00eb zgjidhet: var\u00ebsisht nga cil\u00ebsimet, kjo do t\u00eb jet\u00eb Informatica, serveri DB ose Hadoop. Nj\u00eb shembull i till\u00eb do t\u00eb lejoj\u00eb t\u00eb kuptojm\u00eb m\u00eb sakt\u00ebsisht aspektin teknik t\u00eb funksionimit t\u00eb k\u00ebtij mekanizmi. Sigurisht, n\u00eb jet\u00ebn reale, nj\u00eb situat\u00eb e till\u00eb nuk ndodh, por p\u00ebr t\u00eb demonstruar funksionalitetin, ajo p\u00ebrshtatet m\u00eb s\u00eb miri. <\/p>\n

<\/p>\n

T\u00eb marrim si referenc\u00eb hartimin p\u00ebr leximin e dy tabelave n\u00eb nj\u00eb baz\u00eb t\u00eb vetme t\u00eb dh\u00ebnash Oracle. Dhe le t'i regjistrojm\u00eb rezultatet e leximit n\u00eb nj\u00eb tabel\u00eb n\u00eb k\u00ebt\u00eb baz\u00eb. Schemi i hartimit do t\u00eb jet\u00eb k\u00ebshtu:<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

Si hartim n\u00eb Informatica BDM 10.2.1, kjo duket k\u00ebshtu:<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

Lloji pushdown \u2013 natyror<\/strong><\/p>\n

<\/p>\n

N\u00ebse zgjedhim llojin pushdown natyror, at\u00ebher\u00eb hartimi do t\u00eb ekzekutohet n\u00eb serveri<\/a> Informatica. T\u00eb dh\u00ebnat do t\u00eb lexohen nga serveri Oracle, do t\u00eb shp\u00ebrndahen n\u00eb serverin Informatica, do t\u00eb transformohen atje dhe do t\u2019i transferohen n\u00eb Hadoop. N\u00eb fjal\u00eb t\u00eb tjera, ne do t\u00eb marrim nj\u00eb proces ETL t\u00eb zakonsh\u00ebm.<\/p>\n

<\/p>\n

Lloji pushdown \u2013 burim <\/strong><\/p>\n

<\/p>\n

Duke zgjedhur llojin burim, ne kemi mund\u00ebsin\u00eb ta shp\u00ebrndajm\u00eb procesin ton\u00eb midis serverin<\/a> baza t\u00eb dh\u00ebnash (BD) dhe Hadoop. Gjat\u00eb ekzekutimit t\u00eb procesit me k\u00ebt\u00eb konfigurim, do t\u00eb d\u00ebrgohen k\u00ebrkesa p\u00ebr t\u00eb nxjerr\u00eb t\u00eb dh\u00ebna nga tabelat. Nd\u00ebrsa e gjith\u00eb pjesa tjet\u00ebr do t\u00eb realizohet n\u00eb form\u00ebn e hapave n\u00eb Hadoop.
\nSchemi e ekzekutimit do t\u00eb duket k\u00ebshtu:<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

M\u00eb posht\u00eb \u00ebsht\u00eb nj\u00eb shembull i konfigurimit t\u00eb ambientit t\u00eb ekzekutimit.<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

N\u00eb k\u00ebt\u00eb rast, mapimi do t\u00eb kryhet n\u00eb dy hapa. N\u00eb cil\u00ebsimet e tij do t\u00eb shohim se \u00ebsht\u00eb transformuar n\u00eb nj\u00eb skenar, i cili do t\u00eb d\u00ebrgohet n\u00eb burim. Gjithashtu, bashkimi i tabelave dhe transformimi i t\u00eb dh\u00ebnave do t\u00eb realizohet n\u00eb form\u00ebn e nj\u00eb k\u00ebrkese t\u00eb rishkruar n\u00eb burim.
\nN\u00eb figur\u00ebn m\u00eb posht\u00eb, shohim nj\u00eb mapim t\u00eb optimizuar n\u00eb BDM, dhe n\u00eb burim \u2013 nj\u00eb k\u00ebrkes\u00eb t\u00eb rishkruar.<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

Roli i Hadoop n\u00eb k\u00ebt\u00eb konfigurim do t\u00eb reduktohet n\u00eb menaxhimin e fluksit t\u00eb t\u00eb dh\u00ebnave \u2013 orkestrimin e tyre. Rezultati i k\u00ebrkes\u00ebs do t'i drejtohet Hadoop. Pas p\u00ebrfundimit t\u00eb leximet, skedari nga Hadoop do t\u00eb shkruhet n\u00eb pranues.<\/p>\n

<\/p>\n

Tipi pushdown \u2013 full <\/strong><\/p>\n

<\/p>\n

Me zgjedhjen e tipit full, mapimi do t\u00eb kthehet plot\u00ebsisht n\u00eb nj\u00eb k\u00ebrkes\u00eb p\u00ebr BD. Rezultati i k\u00ebrkes\u00ebs do t\u00eb d\u00ebrgohet n\u00eb Hadoop. Schema e k\u00ebtij procesi paraqitet m\u00eb posht\u00eb.<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

Shembulli i konfigurimit \u00ebsht\u00eb paraqitur m\u00eb posht\u00eb.<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

Si p\u00ebrfundim, ne do t\u00eb marr\u00eb nj\u00eb hart\u00eb t\u00eb optimizuar t\u00eb ngjashme me t\u00eb m\u00ebparshmen. Dallimi \u00ebsht\u00eb se e gjith\u00eb logjika do t\u00eb transferohet te marr\u00ebsi n\u00eb form\u00ebn e redefinimit t\u00eb futjes s\u00eb tij. Nj\u00eb shembull i hart\u00ebs s\u00eb optimizuar \u00ebsht\u00eb paraqitur m\u00eb posht\u00eb.<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

K\u00ebtu, ashtu si n\u00eb rastin e m\u00ebparsh\u00ebm, Hadoop b\u00ebn rolin e dirigjentit. Por k\u00ebtu leximi i burimit b\u00ebhet n\u00eb t\u00ebr\u00ebsi, dhe m\u00eb tej, n\u00eb nivelin e marr\u00ebsit, logjika e p\u00ebrpunimit t\u00eb t\u00eb dh\u00ebnave realizohet.<\/p>\n

<\/p>\n

Tipi pushdown \u2013 null<\/strong><\/p>\n

<\/p>\n

Dhe varianti i fundit \u2013 tipi pushdown, ku harta jon\u00eb do t\u00eb shnd\u00ebrrohet n\u00eb nj\u00eb skenar n\u00eb Hadoop.<\/p>\n

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Harta e optimizuar tani do t\u00eb duket k\u00ebshtu:<\/p>\n

<\/p>\n

\"Si<\/p>\n

<\/p>\n

K\u00ebtu t\u00eb dh\u00ebnat nga skedar\u00ebt-burim fillimisht do t\u00eb lexohen n\u00eb Hadoop. M\u00eb pas me mjetet e tij, k\u00ebta dy skedar\u00eb do t\u00eb bashkohen. Pas k\u00ebsaj, t\u00eb dh\u00ebnat do t\u00eb transformohen dhe ngarkohen n\u00eb DB.<\/p>\n

<\/p>\n

Duke kuptuar parimet e optimizimit pushdown, mund t\u00eb organizoni n\u00eb m\u00ebnyr\u00eb shum\u00eb efikase shum\u00eb procese t\u00eb pun\u00ebs me t\u00eb dh\u00ebna t\u00eb m\u00ebdha. Pra, shum\u00eb koh\u00eb m\u00eb par\u00eb, nj\u00eb kompani e madhe p\u00ebrfundoi n\u00eb vet\u00ebm disa jav\u00eb shkarkimin e t\u00eb dh\u00ebnave t\u00eb m\u00ebdha nga depoja n\u00eb Hadoop, t\u00eb cilat deri at\u00ebher\u00eb i kishte grumbulluar p\u00ebr disa vjet.<\/p>\n

Burimi: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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