{"id":28442,"date":"2025-08-30T00:30:22","date_gmt":"2025-08-29T21:30:22","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/react-query-swrin-otesinde-mimari-bir-veri-katmani-tasarlamak\/"},"modified":"2025-08-30T00:30:22","modified_gmt":"2025-08-29T21:30:22","slug":"react-query-swrin-otesinde-mimari-bir-veri-katmani-tasarlamak","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/react-query-swrin-otesinde-mimari-bir-veri-katmani-tasarlamak\/","title":{"rendered":"React Query & SWR’\u0131n \u00d6tesinde: Mimari Bir Veri Katman\u0131 Tasarlamak"},"content":{"rendered":"

React Query & SWR’\u0131n \u00d6tesinde: Mimari Bir Veri Katman\u0131 Tasarlamak<\/p>\n

React uygulamalar\u0131n\u0131zda veri y\u00f6netimi karma\u015f\u0131kla\u015ft\u0131k\u00e7a, React Query ve SWR gibi k\u00fct\u00fcphanelerin sundu\u011fu kolayl\u0131klar zamanla yetersiz kalabilir. Bu makale, bu k\u00fct\u00fcphanelerin \u00f6tesine ge\u00e7erek, \u00f6l\u00e7eklenebilir ve s\u00fcrd\u00fcr\u00fclebilir bir veri katman\u0131 mimarisi olu\u015fturman\u0131n yollar\u0131n\u0131 ele alacak. Karma\u015f\u0131k veri ihtiya\u00e7lar\u0131n\u0131, performans optimizasyonlar\u0131n\u0131 ve gelece\u011fe y\u00f6nelik esnekli\u011fi nas\u0131l sa\u011flayaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m \u00f6\u011freneceksiniz. Daha h\u0131zl\u0131, daha g\u00fcvenli ve daha g\u00fc\u00e7l\u00fc bir veri katman\u0131 i\u00e7in haz\u0131r olun.<\/p>\n

React Query ve SWR’\u0131n S\u0131n\u0131rlamalar\u0131 Nelerdir?<\/h2>\n

React Query ve SWR, veri getirme ve \u00f6nbellekleme konusunda inan\u0131lmaz derecede kullan\u0131\u015fl\u0131 k\u00fct\u00fcphanelerdir. Ancak, b\u00fcy\u00fck ve karma\u015f\u0131k uygulamalarda baz\u0131 s\u0131n\u0131rlamalar\u0131 ortaya \u00e7\u0131karabilirler. \u00d6rne\u011fin, \u00e7ok say\u0131da ba\u011f\u0131ms\u0131z sorgunun y\u00f6netimi, veri tutarl\u0131l\u0131\u011f\u0131 ve optimizasyonu zorla\u015fabilir. Bu k\u00fct\u00fcphaneler, genellikle tekil bile\u015fenlerin ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131lamak \u00fczere tasarlanm\u0131\u015ft\u0131r; global bir veri y\u00f6netim stratejisi sa\u011flamazlar. Karma\u015f\u0131k ili\u015fkili verilerle \u00e7al\u0131\u015f\u0131rken, veri d\u00f6n\u00fc\u015f\u00fcmlerinin ve i\u015fleme s\u00fcre\u00e7lerinin y\u00f6netimi de zorlu olabilir. Son olarak, \u00f6zelle\u015ftirilebilirlik ve geni\u015fletilebilirlik bak\u0131m\u0131ndan da baz\u0131 k\u0131s\u0131tlamalar mevcuttur. Bu nedenle, geli\u015fmi\u015f veri y\u00f6netimi stratejilerine ihtiya\u00e7 duyan projeler i\u00e7in daha kapsaml\u0131 bir yakla\u015f\u0131m gereklidir. \u00d6zellikle b\u00fcy\u00fck ekipler halinde \u00e7al\u0131\u015fan projelerde, tutarl\u0131l\u0131k ve s\u00fcrd\u00fcr\u00fclebilirlik a\u00e7\u0131s\u0131ndan daha yap\u0131sal bir \u00e7\u00f6z\u00fcm tercih edilebilir. Bu makalede, bu sorunlar\u0131 ele alacak ve daha g\u00fc\u00e7l\u00fc bir mimari sunaca\u011f\u0131z.<\/p>\n

Temel Veri Katman\u0131 Kavramlar\u0131: Ba\u015flang\u0131\u00e7 \u0130\u00e7in Gerekli Bilgiler<\/h2>\n

Veri katman\u0131 mimarisi, uygulaman\u0131z\u0131n veriyle nas\u0131l etkile\u015fimde bulundu\u011funu tan\u0131mlar. Temel olarak, veri kayna\u011f\u0131na eri\u015fimi, veri d\u00f6n\u00fc\u015f\u00fcm\u00fcn\u00fc ve \u00f6nbelleklemeyi kapsar. Bu katman, sunum katman\u0131 (UI) ile veri kayna\u011f\u0131 (API, veritaban\u0131 vb.) aras\u0131nda bir arabirim g\u00f6revi g\u00f6r\u00fcr. Ba\u015flang\u0131\u00e7 seviyesinde, veri kayna\u011f\u0131yla etkile\u015fim i\u00e7in basit bir API istemcisi kullanabilirsiniz. Ancak, daha geli\u015fmi\u015f uygulamalar i\u00e7in, daha yap\u0131land\u0131r\u0131lm\u0131\u015f bir yakla\u015f\u0131m gereklidir. Bu yakla\u015f\u0131m, veri \u00f6nbellekleme, hata y\u00f6netimi, veri normalizasyonu ve veri d\u00f6n\u00fc\u015ft\u00fcrme gibi \u00f6zelliklerin merkezi olarak y\u00f6netilmesini i\u00e7erir. \u00d6rne\u011fin, bir fetch<\/code> fonksiyonunu temel alarak API isteklerini y\u00f6netmek, k\u00fc\u00e7\u00fck uygulamalar i\u00e7in yeterli olabilir. Ancak, b\u00fcy\u00fck uygulamalar i\u00e7in bu yakla\u015f\u0131m karma\u015f\u0131kla\u015fabilir ve bak\u0131m\u0131 zorla\u015ft\u0131rabilir. Bu y\u00fczden bir sonraki ad\u0131m, daha yap\u0131sal bir yakla\u015f\u0131m benimsemektir.<\/p>\n

Veri Katman\u0131 Mimarisini Nas\u0131l Tasarlar\u0131z?<\/h2>\n

Bir veri katman\u0131 mimarisi tasarlamaya ba\u015flamadan \u00f6nce, projenizin ihtiya\u00e7lar\u0131n\u0131 ve \u00f6l\u00e7eklenebilirlik gereksinimlerini dikkatlice de\u011ferlendirmeniz \u00f6nemlidir. \u00d6rne\u011fin, veri kayna\u011f\u0131n\u0131z\u0131n yap\u0131s\u0131, veri eri\u015fim y\u00f6ntemleri ve veri miktar\u0131 gibi fakt\u00f6rler, mimarinizin tasar\u0131m\u0131n\u0131 etkileyecektir. Genellikle, bir veri katman\u0131 mimarisi a\u015fa\u011f\u0131daki bile\u015fenleri i\u00e7erir:<\/p>\n

* Veri Kayna\u011f\u0131:<\/strong> API, veritaban\u0131 veya ba\u015fka bir veri kayna\u011f\u0131.
\n* Veri Eri\u015fim Katman\u0131:<\/strong> Veri kayna\u011f\u0131yla ileti\u015fim kurmak i\u00e7in kullan\u0131lan fonksiyonlar veya servisler.
\n* Veri \u00d6nbellekleme Katman\u0131:<\/strong> Veri eri\u015fim performans\u0131n\u0131 art\u0131rmak i\u00e7in \u00f6nbelle\u011fe alma stratejilerini uygular.
\n* Veri \u0130\u015fleme Katman\u0131:<\/strong> Veri d\u00f6n\u00fc\u015ft\u00fcrme, do\u011frulama ve normalizasyon gibi i\u015flemleri ger\u00e7ekle\u015ftirir.
\n* Hata Y\u00f6netimi:<\/strong> API isteklerinde veya veri i\u015fleme s\u0131ras\u0131nda olu\u015fan hatalar\u0131 ele al\u0131r.<\/p>\n

Bu bile\u015fenleri kullanarak, uygulaman\u0131z\u0131n veri ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131layan esnek ve \u00f6l\u00e7eklenebilir bir mimari olu\u015fturabilirsiniz. Daha ileri d\u00fczeyde, bu katmanlar\u0131 daha k\u00fc\u00e7\u00fck, daha \u00f6zelle\u015ftirilebilir mod\u00fcllere ay\u0131rmak daha iyi olabilir. Bu sayede, bak\u0131m ve g\u00fcncelleme i\u015flemleri kolayla\u015f\u0131r.<\/p>\n

Uygulamada Veri Katman\u0131: Ad\u0131m Ad\u0131m Bir \u00d6rnek<\/h2>\n

\u015eimdi, yukar\u0131da a\u00e7\u0131klanan kavramlar\u0131 kullanarak basit bir veri katman\u0131 \u00f6rne\u011fi olu\u015ftural\u0131m. Bu \u00f6rnekte, bir REST API’den veri \u00e7ekip \u00f6nbelle\u011fe alaca\u011f\u0131z.<\/p>\n

\/\/ dataLayer.js\n\nclass DataLayer {\n  constructor() {\n    this.cache = {};\n  }\n\n  async fetchData(endpoint) {\n    if (this.cache[endpoint]) {\n      return this.cache[endpoint];\n    }\n\n    try {\n      const response = await fetch(endpoint);\n      const data = await response.json();\n      this.cache[endpoint] = data;\n      return data;\n    } catch (error) {\n      console.error(\"Data fetching error:\", error);\n      throw error; \/\/ Hata y\u00f6netimi\n    }\n  }\n}\n\nexport default new DataLayer();<\/pre>\n
<\/code><\/p>\n
Bu DataLayer<\/code> s\u0131n\u0131f\u0131, basit bir \u00f6nbelle\u011fe alma mekanizmas\u0131 ile API isteklerini y\u00f6netir.  Bile\u015fenleriniz bu s\u0131n\u0131f\u0131 kullanarak veriye eri\u015febilirler.  Bu \u00f6rnek, basit bir \u00f6nbelle\u011fe alma mekanizmas\u0131 kullan\u0131r.  Daha geli\u015fmi\u015f \u00f6nbelle\u011fe alma stratejileri (\u00f6rne\u011fin, zamanlanm\u0131\u015f \u00f6nbelle\u011fe alma) i\u00e7in, daha geli\u015fmi\u015f k\u00fct\u00fcphaneler veya kendi \u00f6nbelle\u011fe alma sisteminizi geli\u015ftirebilirsiniz.<\/p>\n
\u0130leri D\u00fczey Teknikler: Performans Optimizasyonu ve \u00d6l\u00e7eklenebilirlik<\/h2>\n
Basit \u00f6nbelle\u011fe alman\u0131n \u00f6tesinde, performans\u0131 art\u0131rmak ve \u00f6l\u00e7eklenebilirli\u011fi sa\u011flamak i\u00e7in \u00e7e\u015fitli teknikler kullanabiliriz. Bunlar aras\u0131nda:<\/p>\n
* Ak\u0131ll\u0131 \u00d6nbelle\u011fe Alma Stratejileri:<\/strong>  \u00d6rne\u011fin, LRU (Least Recently Used) algoritmas\u0131 veya zamanlanm\u0131\u015f \u00f6nbelle\u011fe alma.
\n* Paralel \u0130stekler:<\/strong> Birden fazla veri kayna\u011f\u0131na ayn\u0131 anda eri\u015fim sa\u011flamak.
\n* Veri Normalizasyonu:<\/strong> Veri tekrar\u0131n\u0131 azaltmak i\u00e7in verileri standardize etmek.
\n* GraphQL:<\/strong>  Veri iste\u011fi yap\u0131s\u0131n\u0131 iyile\u015ftirmek i\u00e7in GraphQL kullanmak.
\n* Optimistic Updates:<\/strong>  Kullan\u0131c\u0131 deneyimini iyile\u015ftirmek i\u00e7in, sunucu yan\u0131t\u0131n\u0131 beklemeden UI'\u0131 g\u00fcncellemek.<\/p>\n
Bu teknikleri kullanarak, veri katman\u0131n\u0131z\u0131n performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir ve b\u00fcy\u00fck veri hacimleriyle ba\u015fa \u00e7\u0131kabilirsiniz.  \u00d6rne\u011fin, paralel istekler kullanarak, birden fazla API \u00e7a\u011fr\u0131s\u0131n\u0131 e\u015f zamanl\u0131 olarak ger\u00e7ekle\u015ftirebilir ve bekleme s\u00fcresini azaltabilirsiniz.  Ayr\u0131ca, GraphQL ile, ihtiyac\u0131n\u0131z olan verileri tam olarak belirterek gereksiz veri aktar\u0131m\u0131 \u00f6nleyebilirsiniz.<\/p>\n
Ger\u00e7ek D\u00fcnya Senaryolar\u0131: Vaka Analizi<\/h2>\n
Bir e-ticaret platformu d\u00fc\u015f\u00fcnelim.  \u00dcr\u00fcn listesi, \u00fcr\u00fcn detaylar\u0131 ve kullan\u0131c\u0131 sepeti gibi farkl\u0131 veri kaynaklar\u0131 vard\u0131r.  React Query veya SWR ile her bir bile\u015fen i\u00e7in ayr\u0131 bir sorgu y\u00f6netimi karma\u015f\u0131k ve s\u00fcrd\u00fcr\u00fclemez olurdu.  Ancak, iyi tasarlanm\u0131\u015f bir veri katman\u0131 mimarisi, bu verileri tek bir noktadan y\u00f6neterek tutarl\u0131l\u0131\u011f\u0131 ve performans\u0131 art\u0131r\u0131r.  \u00d6rne\u011fin, bir \u00fcr\u00fcn detay sayfas\u0131ndaki \u00fcr\u00fcn bilgileri, ayn\u0131 zamanda al\u0131\u015fveri\u015f sepetinde de kullan\u0131l\u0131yorsa, bu bilginin \u00f6nbellekte tutulmas\u0131 ve hem \u00fcr\u00fcn detay sayfas\u0131nda hem de al\u0131\u015fveri\u015f sepetinde ayn\u0131 verinin kullan\u0131lmas\u0131 performans art\u0131\u015f\u0131 sa\u011flar.<\/p>\n
\u00d6\u011frenme Yol Haritas\u0131<\/h2>\n
[Yeni Ba\u015flayan]:<\/strong>  Basit fetch<\/code> fonksiyonlar\u0131 ile API isteklerini y\u00f6netmeyi \u00f6\u011frenin.  Basit bir \u00f6nbelle\u011fe alma mekanizmas\u0131 uygulay\u0131n.<\/p>\n
[Orta]:<\/strong> async\/await<\/code> ile veri i\u015flemeyi \u00f6\u011frenin.  Daha geli\u015fmi\u015f \u00f6nbelle\u011fe alma stratejileri (LRU, zamanlanm\u0131\u015f \u00f6nbelle\u011fe alma) uygulay\u0131n.  Hata y\u00f6netimi mekanizmalar\u0131 geli\u015ftirin.<\/p>\n
[\u0130leri D\u00fczey]:<\/strong>  Paralel istekler, veri normalizasyonu ve GraphQL gibi ileri d\u00fczey teknikleri kullanmay\u0131 \u00f6\u011frenin.  Optimistic updates ve ger\u00e7ek zamanl\u0131 veri g\u00fcncellemeleri uygulay\u0131n.  Test edilebilir ve \u00f6l\u00e7eklenebilir bir mimari tasarlay\u0131n.<\/p>\n
Sonu\u00e7<\/h2>\n
React Query ve SWR'\u0131n \u00f6tesinde, daha g\u00fc\u00e7l\u00fc ve \u00f6l\u00e7eklenebilir bir veri katman\u0131 mimarisi olu\u015fturmak, b\u00fcy\u00fck ve karma\u015f\u0131k uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. Bu makalede ele al\u0131nan kavramlar ve teknikler, uygulaman\u0131z\u0131n veri y\u00f6netimi stratejisini geli\u015ftirmenize yard\u0131mc\u0131 olacakt\u0131r.  Unutmay\u0131n, her projenin kendine \u00f6zg\u00fc ihtiya\u00e7lar\u0131 vard\u0131r ve en iyi yakla\u015f\u0131m, projenizin \u00f6zel gereksinimlerine ba\u011fl\u0131 olacakt\u0131r.  Daha fazla bilgi i\u00e7in (https:\/\/fatihsoysal.com) inceleyebilirsiniz.<\/p>\n
S\u0131k\u00e7a Sorulan Sorular<\/h3>\n
* React Query ve SWR kullanmaya devam etmeli miyim?<\/strong>  K\u00fc\u00e7\u00fck projeler i\u00e7in React Query ve SWR hala \u00e7ok kullan\u0131\u015fl\u0131d\u0131r. Ancak b\u00fcy\u00fck ve karma\u015f\u0131k uygulamalar i\u00e7in daha yap\u0131sal bir yakla\u015f\u0131m daha uygun olabilir.
\n* Veri katman\u0131 mimarisi ne kadar karma\u015f\u0131k olmal\u0131?<\/strong>  Mimarinizin karma\u015f\u0131kl\u0131\u011f\u0131 projenizin ihtiya\u00e7lar\u0131na ba\u011fl\u0131d\u0131r.  Basit projeler i\u00e7in basit bir mimari yeterli olabilirken, b\u00fcy\u00fck projeler i\u00e7in daha karma\u015f\u0131k bir mimari gerekebilir.
\n* Hangi \u00f6nbelle\u011fe alma stratejisi en iyisidir?<\/strong>  En iyi \u00f6nbelle\u011fe alma stratejisi projenizin \u00f6zel gereksinimlerine ba\u011fl\u0131d\u0131r.  LRU, FIFO veya zamanlanm\u0131\u015f \u00f6nbelle\u011fe alma gibi \u00e7e\u015fitli stratejiler aras\u0131ndan se\u00e7im yapabilirsiniz.
\n* Veri normalizasyonu nas\u0131l yap\u0131l\u0131r?<\/strong>  Veri normalizasyonu, verileri standardize etmek ve tekrar\u0131 azaltmak i\u00e7in kullan\u0131lan bir veritaban\u0131 tasar\u0131m\u0131 tekni\u011fidir.  Uygulaman\u0131zda, veriyi standart bir yap\u0131ya d\u00f6n\u00fc\u015ft\u00fcrerek bu i\u015flemi ger\u00e7ekle\u015ftirebilirsiniz.
\n* GraphQL kullanman\u0131n avantajlar\u0131 nelerdir?<\/strong> GraphQL, ihtiya\u00e7 duydu\u011funuz verileri tam olarak istemenizi sa\u011flar, b\u00f6ylece gereksiz veri aktar\u0131m\u0131 \u00f6nlenir ve performans artar.<\/p>\n
Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"React Query & SWR’\u0131n \u00d6tesinde: Mimari Bir Veri Katman\u0131 Tasarlamak React uygulamalar\u0131n\u0131zda veri y\u00f6netimi karma\u015f\u0131kla\u015ft\u0131k\u00e7a, React Query ve…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-28442","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nReact Query & SWR'\u0131n \u00d6tesinde: Mimari Bir Veri Katman\u0131 Tasarlamak<\/title>\n<meta name=\"description\" content=\"React uygulamalar\u0131n\u0131zda veri y\u00f6netimi karma\u015f\u0131kla\u015ft\u0131k\u00e7a, React Query ve SWR gibi k\u00fct\u00fcphanelerin sundu\u011fu kolayl\u0131klar zamanla yetersiz kalabilir. Bu makale, bu k\u00fct\u00fcphanelerin \u00f6tesine ge\u00e7erek, \u00f6l\u00e7eklenebilir ve s\u00fcrd\u00fcr\u00fclebilir bir veri katman\u0131 mimarisi olu\u015fturman\u0131n yollar\u0131n\u0131 ele alacak. Karma\u015f\u0131k veri ihtiya\u00e7lar\u0131n\u0131, performans optimizasyonlar\u0131n\u0131 ve gelece\u011fe y\u00f6nelik esnekli\u011fi nas\u0131l sa\u011flayaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m \u00f6\u011freneceksiniz. 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