{"id":12521,"date":"2025-02-15T09:00:14","date_gmt":"2025-02-15T06:00:14","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/goda-eszamanlilik-mi-paralellik-mi-hangisi-daha-iyi\/"},"modified":"2025-02-15T09:00:14","modified_gmt":"2025-02-15T06:00:14","slug":"goda-eszamanlilik-mi-paralellik-mi-hangisi-daha-iyi","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/goda-eszamanlilik-mi-paralellik-mi-hangisi-daha-iyi\/","title":{"rendered":"Go’da E\u015fzamanl\u0131l\u0131k m\u0131 Paralellik mi? Hangisi Daha \u0130yi?"},"content":{"rendered":"

<\/p>\n

Go’da E\u015fzamanl\u0131l\u0131k m\u0131 Paralellik mi? Hangisi Daha \u0130yi?<\/p>\n

Go programlama dili, e\u015fzamanl\u0131l\u0131k ve paralellik kavramlar\u0131n\u0131 destekleyen g\u00fc\u00e7l\u00fc bir dildir. Ancak bu iki kavram s\u0131kl\u0131kla kar\u0131\u015ft\u0131r\u0131l\u0131r. Bu makalede, Go ba\u011flam\u0131nda bu kavramlar\u0131 a\u00e7\u0131klayacak, aralar\u0131ndaki farklar\u0131 ortaya koyacak ve hangisinin hangi senaryolarda daha uygun oldu\u011funu ele alaca\u011f\u0131z. \u00d6ncelikle, temel kavramlar\u0131 anlamak \u00f6nemlidir.<\/p>\n

E\u015fzamanl\u0131l\u0131k (Concurrency) Nedir?<\/h2>\n

E\u015fzamanl\u0131l\u0131k, birden fazla g\u00f6revin ayn\u0131 anda \u00e7al\u0131\u015f\u0131yormu\u015f gibi g\u00f6r\u00fcnmesi anlam\u0131na gelir. Bununla birlikte, bu g\u00f6revler ger\u00e7ekte ayn\u0131 anda \u00e7al\u0131\u015fmak zorunda de\u011fildir. Go’da, e\u015fzamanl\u0131l\u0131k genellikle goroutine<\/em>‘ler kullan\u0131larak sa\u011flan\u0131r. Goroutine’ler, hafif a\u011f\u0131rl\u0131kl\u0131 i\u015f par\u00e7ac\u0131klar\u0131d\u0131r ve \u00e7ok say\u0131da goroutine’i ayn\u0131 anda \u00e7al\u0131\u015ft\u0131rmak m\u00fcmk\u00fcnd\u00fcr. \u00d6rne\u011fin, bir web sunucusunda birden fazla istek ayn\u0131 anda i\u015flenebilir, ancak bunlar farkl\u0131 i\u015flemciler \u00fczerinde \u00e7al\u0131\u015fmayabilir.<\/p>\n

Paralellik (Parallelism) Nedir?<\/h2>\n

Paralellik ise, birden fazla g\u00f6revin ger\u00e7ekten ayn\u0131 anda farkl\u0131 i\u015flemciler veya \u00e7ekirdekler \u00fczerinde \u00e7al\u0131\u015fmas\u0131 anlam\u0131na gelir. Paralellik, e\u015fzamanl\u0131l\u0131ktan daha y\u00fcksek performans sa\u011flayabilir, ancak daha fazla kaynak gerektirir. Go’da, paralellik genellikle runtime.GOMAXPROCS<\/code> fonksiyonu kullan\u0131larak kontrol edilebilir. Bu fonksiyon, Go runtime’\u0131n\u0131n ayn\u0131 anda kullanabilece\u011fi i\u015flemci say\u0131s\u0131n\u0131 belirler.<\/p>\n

E\u015fzamanl\u0131l\u0131k ve Paralellik Aras\u0131ndaki Farklar<\/h2>\n

\u00d6zetle, e\u015fzamanl\u0131l\u0131k ve paralellik aras\u0131ndaki temel fark \u015fudur: E\u015fzamanl\u0131l\u0131k, ayn\u0131 anda birden fazla g\u00f6revin y\u00f6netilmesidir; paralellik ise, ayn\u0131 anda birden fazla g\u00f6revin \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131d\u0131r. E\u015fzamanl\u0131l\u0131k, tek bir \u00e7ekirdekli bir sistemde bile kullan\u0131labilse de, paralellik, birden fazla \u00e7ekirdek gerektirir. Bir ba\u015fka deyi\u015fle, paralellik e\u015fzamanl\u0131l\u0131\u011f\u0131n bir alt k\u00fcmesidir.<\/p>\n

Go’da Hangisi Daha \u0130yi?<\/h2>\n

Go’da, \u00e7o\u011fu durumda e\u015fzamanl\u0131l\u0131k daha iyi bir se\u00e7imdir. \u00c7\u00fcnk\u00fc Go’nun goroutine’leri olduk\u00e7a hafiftir ve \u00e7ok say\u0131da goroutine’i y\u00f6netmek nispeten kolayd\u0131r. Ayr\u0131ca, paralellik, daha fazla kaynak gerektirir ve hatalar\u0131n ay\u0131klanmas\u0131 daha zor olabilir. Ancak, i\u015flem yo\u011fun g\u00f6revler i\u00e7in paralellik daha y\u00fcksek performans sa\u011flayabilir. Do\u011fru yakla\u015f\u0131m, uygulaman\u0131n ihtiya\u00e7lar\u0131na ba\u011fl\u0131 olarak de\u011fi\u015fir. Y\u00fcksek I\/O i\u015flemleri i\u00e7eren uygulamalarda e\u015fzamanl\u0131l\u0131k daha etkiliyken, i\u015flemci yo\u011fun uygulamalarda paralellik tercih edilebilir.<\/p>\n

\u00d6rnek Kod (E\u015fzamanl\u0131l\u0131k)<\/h2>\n
\npackage main\n\nimport (\n\t\"fmt\"\n\t\"runtime\"\n\t\"sync\"\n)\n\nfunc worker(id int, wg *sync.WaitGroup) {\n\tdefer wg.Done()\n\tfmt.Printf(\"Worker %d ba\u015fl\u0131yor\\n\", id)\n\t\/\/ \u0130\u015flem burada yap\u0131lacak\n\tfmt.Printf(\"Worker %d bitiyor\\n\", id)\n}\n\nfunc main() {\n\truntime.GOMAXPROCS(runtime.NumCPU())\n\tvar wg sync.WaitGroup\n\tfor i := 0; i < 5; i++ {\n\t\twg.Add(1)\n\t\tgo worker(i, &wg)\n\t}\n\twg.Wait()\n}\n<\/code><\/pre>\n
Bu \u00f6rnekte, 5 goroutine e\u015fzamanl\u0131 olarak \u00e7al\u0131\u015ft\u0131r\u0131l\u0131yor.  Her goroutine, belirli bir g\u00f6revi (bu \u00f6rnekte sadece yazd\u0131rma) yerine getiriyor.  sync.WaitGroup<\/code>, t\u00fcm goroutine'lerin tamamlanmas\u0131n\u0131 beklemek i\u00e7in kullan\u0131l\u0131yor. Daha detayl\u0131 bilgi i\u00e7in fatihsoysal.com<\/a> sitesini ziyaret edebilirsiniz.<\/p>\n
Sonu\u00e7 olarak, Go'da e\u015fzamanl\u0131l\u0131k ve paralellik, farkl\u0131 senaryolarda farkl\u0131 performans avantajlar\u0131 sunar.  Uygulama gereksinimlerini dikkatlice analiz etmek ve do\u011fru teknolojiyi se\u00e7mek, optimum performans ve \u00f6l\u00e7eklenebilirlik i\u00e7in kritik \u00f6neme sahiptir.  Daha fazla bilgi i\u00e7in, Go dilinin resmi d\u00f6k\u00fcmanlar\u0131na ve di\u011fer kaynaklara g\u00f6z atabilirsiniz.  Bu konuda daha fazla bilgi edinmek i\u00e7in, bu makaleye<\/a> de g\u00f6z atabilirsiniz.<\/p>\n
Umar\u0131m bu makale, Go'da e\u015fzamanl\u0131l\u0131k ve paralellik kavramlar\u0131n\u0131 anlaman\u0131za yard\u0131mc\u0131 olmu\u015ftur.<\/p>\n
#Etiketler: Go, Golang, e\u015fzamanl\u0131l\u0131k, paralellik, concurrency, parallelism, goroutine, kanal, performans, \u00f6l\u00e7eklenebilirlik, Go programlama, Go \u00f6rnekleri<\/p>\n
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