{"id":27541,"date":"2025-08-15T06:15:24","date_gmt":"2025-08-15T03:15:24","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-birden-cok-sutuna-ait-ortalamayi-hesaplama\/"},"modified":"2025-08-15T06:15:24","modified_gmt":"2025-08-15T03:15:24","slug":"postgresql-birden-cok-sutuna-ait-ortalamayi-hesaplama","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-birden-cok-sutuna-ait-ortalamayi-hesaplama\/","title":{"rendered":"PostgreSQL: Birden \u00c7ok S\u00fctuna Ait Ortalamay\u0131 Hesaplama"},"content":{"rendered":"<p># PostgreSQL&#8217;de Birden \u00c7ok S\u00fctunun Ortalamas\u0131n\u0131 Hesaplama<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda birden fazla say\u0131sal s\u00fctunun ortalamas\u0131n\u0131 hesaplamak m\u0131 istiyorsunuz?  \u00d6rne\u011fin, bir \u00f6\u011frencinin farkl\u0131 s\u0131navlardaki notlar\u0131n\u0131n ortalamas\u0131n\u0131 veya bir \u00fcr\u00fcn\u00fcn farkl\u0131 ma\u011fazalardaki sat\u0131\u015f rakamlar\u0131n\u0131n ortalamas\u0131n\u0131 hesaplaman\u0131z gerekebilir. Bu makalede, PostgreSQL&#8217;de bu i\u015flemi ad\u0131m ad\u0131m nas\u0131l yapaca\u011f\u0131n\u0131z\u0131, farkl\u0131 senaryolar\u0131 ve performans optimizasyon tekniklerini ele alaca\u011f\u0131z.  PostgreSQL&#8217;in g\u00fc\u00e7l\u00fc fonksiyonlar\u0131n\u0131 kullanarak verilerinizden anlaml\u0131 sonu\u00e7lar elde etmenize yard\u0131mc\u0131 olaca\u011f\u0131z.<\/p>\n<p><strong>\u00d6\u011frenme Yol Haritas\u0131<\/strong><\/p>\n<p>Bu makale, PostgreSQL&#8217;de birden \u00e7ok s\u00fctunun ortalamas\u0131n\u0131 hesaplamay\u0131 ad\u0131m ad\u0131m \u00f6\u011fretmek i\u00e7in \u00fc\u00e7 seviyeye ayr\u0131lm\u0131\u015ft\u0131r:<\/p>\n<p><strong>Yeni Ba\u015flayan:<\/strong> (Ad\u0131m ad\u0131m a\u00e7\u0131klama, Basit kod \u00f6rne\u011fi)<\/p>\n<p><strong>Orta:<\/strong> (Ger\u00e7ek hayat \u00f6rne\u011fi, Optimizasyon ipu\u00e7lar\u0131)<\/p>\n<p><strong>\u0130leri D\u00fczey:<\/strong> (Performans analizi, Edge caseler)<\/p>\n<p><strong>PostgreSQL Temelleri: Ortalama Hesaplama<\/strong><\/p>\n<p>PostgreSQL&#8217;de tek bir s\u00fctunun ortalamas\u0131n\u0131 hesaplamak olduk\u00e7a basittir.  <code class=\"language-\">AVG()<\/code> fonksiyonunu kullan\u0131r\u0131z.  \u00d6rne\u011fin, <code class=\"language-\">ogrenciler<\/code> tablosunda <code class=\"language-\">matematik<\/code> s\u00fctununun ortalamas\u0131n\u0131 hesaplamak i\u00e7in \u015fu sorgular\u0131 kullanabiliriz:<\/p>\n<pre class=\"language-sql\"><code>SELECT AVG(matematik) AS matematik_ortalamasi FROM ogrenciler;<\/code><\/pre>\n<p>Bu sorgu, <code class=\"language-\">ogrenciler<\/code> tablosundaki t\u00fcm \u00f6\u011frencilerin matematik notlar\u0131n\u0131n ortalamas\u0131n\u0131 hesaplar ve sonucu <code class=\"language-\">matematik_ortalamasi<\/code> olarak adland\u0131r\u0131r.<\/p>\n<p><strong>Birden \u00c7ok S\u00fctunun Ortalamas\u0131n\u0131 Hesaplama: Temel Teknikler<\/strong><\/p>\n<p>Birden fazla s\u00fctunun ortalamas\u0131n\u0131 hesaplamak i\u00e7in birka\u00e7 y\u00f6ntem kullanabiliriz.  En basit y\u00f6ntem, her s\u00fctun i\u00e7in ayr\u0131 bir <code class=\"language-\">AVG()<\/code> fonksiyonu kullanmakt\u0131r.  \u00d6rne\u011fin, <code class=\"language-\">ogrenciler<\/code> tablosunda matematik, fizik ve kimya notlar\u0131n\u0131n ortalamas\u0131n\u0131 hesaplamak i\u00e7in:<\/p>\n<pre class=\"language-sql\"><code>SELECT \n    AVG(matematik) AS matematik_ortalamasi,\n    AVG(fizik) AS fizik_ortalamasi,\n    AVG(kimya) AS kimya_ortalamasi\nFROM ogrenciler;<\/code><\/pre>\n<p>Bu sorgu, her dersin ortalamas\u0131n\u0131 ayr\u0131 ayr\u0131 hesaplayarak bize \u00fc\u00e7 farkl\u0131 sonu\u00e7 verir.  Ancak, t\u00fcm derslerin genel ortalamas\u0131n\u0131 hesaplamak istiyorsak, daha karma\u015f\u0131k bir yakla\u015f\u0131m kullanmam\u0131z gerekir.<\/p>\n<p><strong>Birden \u00c7ok S\u00fctunun Genel Ortalamas\u0131n\u0131 Hesaplama:  \u0130leri Teknikler<\/strong><\/p>\n<p>T\u00fcm derslerin genel ortalamas\u0131n\u0131 hesaplamak i\u00e7in, \u00f6nce her \u00f6\u011frencinin ders notlar\u0131n\u0131n toplam\u0131n\u0131 hesaplamam\u0131z, ard\u0131ndan bu toplamlar\u0131n ortalamas\u0131n\u0131 almam\u0131z gerekir.  Bunun i\u00e7in <code class=\"language-\">CASE<\/code> ifadeleri veya daha geli\u015fmi\u015f SQL teknikleri kullanabiliriz. \u00d6ncelikle her \u00f6\u011frencinin toplam notunu hesaplayal\u0131m:<\/p>\n<pre class=\"language-sql\"><code>SELECT \n    ogrenci_id,\n    (matematik + fizik + kimya) AS toplam_not\nFROM ogrenciler;<\/code><\/pre>\n<p>Daha sonra bu toplam notlar\u0131n ortalamas\u0131n\u0131 alabiliriz:<\/p>\n<pre class=\"language-sql\"><code>SELECT AVG(toplam_not) AS genel_ortalama FROM (\n    SELECT (matematik + fizik + kimya) AS toplam_not FROM ogrenciler\n) AS alt_sorgu;<\/code><\/pre>\n<p>Bu yakla\u015f\u0131m, \u00f6nce bir alt sorgu kullanarak her \u00f6\u011frencinin toplam notunu hesaplar ve daha sonra bu toplam notlar\u0131n ortalamas\u0131n\u0131 ana sorguda hesaplar.  Daha okunakl\u0131 bir y\u00f6ntem, <code class=\"language-\">COALESCE<\/code> fonksiyonunu kullanarak NULL de\u011ferlerle ba\u015fa \u00e7\u0131kmakt\u0131r.  E\u011fer baz\u0131 \u00f6\u011frencilerin baz\u0131 derslerde notu yoksa, <code class=\"language-\">COALESCE<\/code> fonksiyonu bu de\u011ferleri 0 olarak kabul ederek do\u011fru bir ortalama hesaplamay\u0131 sa\u011flar.<\/p>\n<pre class=\"language-sql\"><code>SELECT AVG(COALESCE(matematik,0) + COALESCE(fizik,0) + COALESCE(kimya,0)) AS genel_ortalama FROM ogrenciler;<\/code><\/pre>\n<p><strong>Ger\u00e7ek Hayattan \u00d6rnek:  \u00dcr\u00fcn Sat\u0131\u015f Ortalamalar\u0131<\/strong><\/p>\n<p>Bir e-ticaret \u015firketinde \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131z\u0131 ve farkl\u0131 \u015fehirlerdeki sat\u0131\u015f rakamlar\u0131n\u0131 analiz etmeniz gerekti\u011fini varsayal\u0131m.  Her \u015fehir i\u00e7in farkl\u0131 \u00fcr\u00fcnlerin sat\u0131\u015f rakamlar\u0131 ayr\u0131 s\u00fctunlarda saklan\u0131yor olsun.  Bu durumda, yukar\u0131daki teknikleri kullanarak her \u015fehrin genel \u00fcr\u00fcn sat\u0131\u015f ortalamas\u0131n\u0131 hesaplayabiliriz.  \u00d6rne\u011fin:<\/p>\n<pre class=\"language-sql\"><code>SELECT \n    sehir,\n    AVG(COALESCE(urun1,0) + COALESCE(urun2,0) + COALESCE(urun3,0)) AS ortalama_satis\nFROM satislar\nGROUP BY sehir;<\/code><\/pre>\n<p>Bu sorgu, her \u015fehrin \u00fc\u00e7 \u00fcr\u00fcn\u00fcn sat\u0131\u015f rakamlar\u0131n\u0131n ortalamas\u0131n\u0131 hesaplar ve <code class=\"language-\">NULL<\/code> de\u011ferleri 0 olarak ele al\u0131r.<\/p>\n<p><strong>Performans Optimizasyonu: \u0130pu\u00e7lar\u0131 ve Teknikler<\/strong><\/p>\n<p>B\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken, sorgu performans\u0131n\u0131 optimize etmek \u00f6nemlidir.  A\u015fa\u011f\u0131daki ipu\u00e7lar\u0131 performans\u0131 art\u0131rman\u0131za yard\u0131mc\u0131 olabilir:<\/p>\n<p>* <strong>\u0130ndexler:<\/strong>  S\u0131k kullan\u0131lan s\u00fctunlara index eklemek sorgu s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde azaltabilir.<br \/>\n* <strong>WHERE klauzu:<\/strong>  Gerekli verileri filtrelemek i\u00e7in <code class=\"language-\">WHERE<\/code> klauzu kullan\u0131n.  Bu, i\u015flenecek veri miktar\u0131n\u0131 azaltarak performans\u0131 art\u0131r\u0131r.<br \/>\n* <strong>Alt sorgular\u0131n optimizasyonu:<\/strong>  Alt sorgular performans\u0131 etkileyebilir.  M\u00fcmk\u00fcnse, alt sorgular\u0131 <code class=\"language-\">JOIN<\/code> i\u015flemleriyle de\u011fi\u015ftirmeyi deneyin.<br \/>\n* <strong>Analiz:<\/strong>  <code class=\"language-\">EXPLAIN<\/code> komutu ile sorgu plan\u0131n\u0131 analiz ederek performans darbo\u011fazlar\u0131n\u0131 belirleyebilirsiniz.<\/p>\n<p><strong>\u0130leri D\u00fczey Konular: Edge Case&#8217;ler ve Karma\u015f\u0131k Senaryolar<\/strong><\/p>\n<p>Baz\u0131 durumlarda, ortalama hesaplama daha karma\u015f\u0131k olabilir.  \u00d6rne\u011fin, belirli bir ko\u015fulu sa\u011flayan sat\u0131rlar\u0131n ortalamas\u0131n\u0131 hesaplaman\u0131z gerekebilir veya farkl\u0131 a\u011f\u0131rl\u0131klarla ortalama hesaplaman\u0131z gerekebilir.  Bu t\u00fcr durumlarda, daha geli\u015fmi\u015f SQL fonksiyonlar\u0131 ve teknikleri kullanman\u0131z gerekebilir.  <code class=\"language-\">CASE<\/code> ifadeleri, <code class=\"language-\">PARTITION BY<\/code> klauzu ve pencere fonksiyonlar\u0131 bu gibi durumlarda yard\u0131mc\u0131 olabilir.  Ayr\u0131ca, veritaban\u0131n\u0131z\u0131n yap\u0131s\u0131 ve verilerinizin \u00f6zellikleri de performans\u0131 ve do\u011fru sonucu elde etmeyi etkileyebilir.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>PostgreSQL&#8217;de birden \u00e7ok s\u00fctunun ortalamas\u0131n\u0131 hesaplamak i\u00e7in \u00e7e\u015fitli y\u00f6ntemler mevcuttur.  Basit durumlarda, her s\u00fctun i\u00e7in ayr\u0131 <code class=\"language-\">AVG()<\/code> fonksiyonlar\u0131 kullanabilirsiniz.  Daha karma\u015f\u0131k durumlarda, alt sorgular, <code class=\"language-\">COALESCE<\/code> fonksiyonu ve di\u011fer geli\u015fmi\u015f teknikleri kullanman\u0131z gerekebilir.  Performans optimizasyonu i\u00e7in indexler, <code class=\"language-\">WHERE<\/code> klauzu ve sorgu plan\u0131 analizi \u00f6nemlidir.  Bu makalede ele al\u0131nan teknikler, PostgreSQL veritaban\u0131n\u0131zdan en iyi \u015fekilde yararlanman\u0131za ve verilerinizden anlaml\u0131 sonu\u00e7lar elde etmenize yard\u0131mc\u0131 olacakt\u0131r.  Daha fazla bilgi i\u00e7in [fatihsoysal.com](https:\/\/fatihsoysal.com) adresini ziyaret edebilirsiniz.<\/p>\n<p><strong>S\u0131k\u00e7a Sorulan Sorular:<\/strong><\/p>\n<p>1. <strong>NULL de\u011ferlerle nas\u0131l ba\u015fa \u00e7\u0131kabilirim?<\/strong> <code class=\"language-\">COALESCE<\/code> fonksiyonu NULL de\u011ferleri belirledi\u011finiz bir de\u011ferle (\u00f6rne\u011fin 0) de\u011fi\u015ftirebilir.<br \/>\n2. <strong>A\u011f\u0131rl\u0131kl\u0131 ortalama nas\u0131l hesaplar\u0131m?<\/strong>  <code class=\"language-\">SUM(sutun * agirlik) \/ SUM(agirlik)<\/code> form\u00fcl\u00fcn\u00fc kullanarak a\u011f\u0131rl\u0131kl\u0131 ortalama hesaplayabilirsiniz.<br \/>\n3. <strong>\u00c7ok b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in performans\u0131 nas\u0131l optimize edebilirim?<\/strong>  \u0130ndexler, <code class=\"language-\">WHERE<\/code> klauzu ve sorgu plan\u0131 optimizasyonu kullan\u0131n.<br \/>\n4. <strong>Farkl\u0131 ko\u015fullara g\u00f6re ortalama nas\u0131l hesaplar\u0131m?<\/strong>  <code class=\"language-\">CASE<\/code> ifadeleri ve <code class=\"language-\">WHERE<\/code> klauzu kullanarak farkl\u0131 ko\u015fullara g\u00f6re ortalama hesaplayabilirsiniz.<br \/>\n5. <strong>PostgreSQL&#8217;in sundu\u011fu di\u011fer ortalama hesaplama fonksiyonlar\u0131 var m\u0131?<\/strong>  <code class=\"language-\">AVG()<\/code> fonksiyonunun yan\u0131 s\u0131ra, pencere fonksiyonlar\u0131 ve istatistiksel fonksiyonlar da ortalama hesaplamada kullan\u0131labilir.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL&#8217;de Birden \u00c7ok S\u00fctunun Ortalamas\u0131n\u0131 Hesaplama PostgreSQL veritaban\u0131n\u0131zda birden fazla say\u0131sal s\u00fctunun ortalamas\u0131n\u0131 hesaplamak m\u0131 istiyorsunuz? \u00d6rne\u011fin,&hellip;","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":[644],"tags":[],"class_list":{"0":"post-27541","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-postgresql","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - 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