{"id":25187,"date":"2025-07-02T17:21:42","date_gmt":"2025-07-02T14:21:42","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/"},"modified":"2025-07-02T17:21:42","modified_gmt":"2025-07-02T14:21:42","slug":"postgresql-ortalama-zaman-damgasi-hesaplama","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/","title":{"rendered":"PostgreSQL: Ortalama Zaman Damgas\u0131 Hesaplama"},"content":{"rendered":"<p># PostgreSQL&#8217;de Ortalama Zaman Damgas\u0131 Nas\u0131l Hesaplan\u0131r?<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda zaman damgas\u0131 i\u00e7eren verileriniz varsa ve bu verilerin ortalamas\u0131n\u0131 hesaplamak istiyorsan\u0131z, bu makale size ad\u0131m ad\u0131m rehberlik edecektir.  Zaman damgalar\u0131n\u0131n ortalamas\u0131n\u0131 almak, bir\u00e7ok uygulamada, \u00f6rne\u011fin m\u00fc\u015fteri hizmetlerinde ortalama yan\u0131t s\u00fcresini hesaplamak veya sipari\u015flerin ortalama i\u015fleme s\u00fcresini belirlemek gibi, olduk\u00e7a faydal\u0131d\u0131r.  Bu makalede, yeni ba\u015flayanlardan ileri seviye kullan\u0131c\u0131lara kadar herkesin anlayabilece\u011fi \u015fekilde, PostgreSQL&#8217;de ortalama zaman damgas\u0131 hesaplaman\u0131n farkl\u0131 y\u00f6ntemlerini ve performans optimizasyon tekniklerini ele alaca\u011f\u0131z.<\/p>\n<p><strong>PostgreSQL&#8217;de Zaman Damgas\u0131 Ortalamas\u0131: Temel Kavramlar<\/strong><\/p>\n<p>PostgreSQL, <code class=\"language-\">timestamp<\/code> ve <code class=\"language-\">timestamptz<\/code> veri tiplerini kullanarak zaman damgalar\u0131n\u0131 saklar.  <code class=\"language-\">timestamp<\/code> veri tipi, zaman dilimini dikkate almazken, <code class=\"language-\">timestamptz<\/code> veri tipi zaman dilimini i\u00e7erir. Ortalama zaman damgas\u0131 hesaplan\u0131rken, kullan\u0131lan veri tipinin \u00f6nemi b\u00fcy\u00fckt\u00fcr.  Zaman dilimlerini do\u011fru bir \u015fekilde ele almak, do\u011fru sonu\u00e7lar elde etmek i\u00e7in kritiktir.  \u00d6rne\u011fin, farkl\u0131 zaman dilimlerinden gelen verilerin ortalamas\u0131n\u0131 al\u0131rken, bu verileri \u00f6nce ortak bir zaman dilimine d\u00f6n\u00fc\u015ft\u00fcrmek \u00f6nemlidir.  Aksi takdirde, sonu\u00e7lar yanl\u0131\u015f olabilir.  Ayr\u0131ca, <code class=\"language-\">AVG()<\/code> fonksiyonunun, say\u0131sal de\u011ferler \u00fczerinde \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 ve zaman damgalar\u0131n\u0131n say\u0131sal bir kar\u015f\u0131l\u0131\u011f\u0131 olmad\u0131\u011f\u0131n\u0131 unutmamak gerekir. Bu y\u00fczden, zaman damgalar\u0131n\u0131 \u00f6nce say\u0131sal bir de\u011fere (epoch zaman\u0131 gibi) d\u00f6n\u00fc\u015ft\u00fcrmeli veya farkl\u0131 bir yakla\u015f\u0131m kullanmal\u0131y\u0131z.<\/p>\n<p><strong>PostgreSQL&#8217;de Ortalama Zaman Damgas\u0131 Nas\u0131l Hesaplan\u0131r? (Ad\u0131m Ad\u0131m Uygulamal\u0131 K\u0131lavuz)<\/strong><\/p>\n<p><strong>\u00d6\u011frenme Yol Haritas\u0131:<\/strong><\/p>\n<p><strong>Yeni Ba\u015flayan:<\/strong><\/p>\n<p><strong>Ad\u0131m 1:<\/strong> Basit bir tablo olu\u015ftural\u0131m ve baz\u0131 zaman damgalar\u0131 ekleyelim:<\/p>\n<pre class=\"language-sql\"><code>CREATE TABLE zaman_damgalari (\n    id SERIAL PRIMARY KEY,\n    tarih_saat TIMESTAMP WITHOUT TIME ZONE\n);\n\nINSERT INTO zaman_damgalari (tarih_saat) VALUES\n('2024-03-08 10:00:00'),\n('2024-03-08 12:00:00'),\n('2024-03-08 14:00:00');<\/code><\/pre>\n<p><strong>Ad\u0131m 2:<\/strong>  <code class=\"language-\">AVG()<\/code> fonksiyonunu do\u011frudan kullanarak ortalamay\u0131 hesaplamaya \u00e7al\u0131\u015f\u0131rsak hata al\u0131r\u0131z. \u00c7\u00fcnk\u00fc <code class=\"language-\">AVG()<\/code> say\u0131sal de\u011ferler i\u00e7indir.  Bu y\u00fczden \u00f6ncelikle epoch zaman\u0131na d\u00f6n\u00fc\u015ft\u00fcrmeliyiz.<\/p>\n<pre class=\"language-sql\"><code>SELECT AVG(EXTRACT(EPOCH FROM tarih_saat)) AS ortalama_epoch FROM zaman_damgalari;<\/code><\/pre>\n<p><strong>Ad\u0131m 3:<\/strong> Elde edilen epoch zaman\u0131n\u0131 tekrar timestamp&#8217;e d\u00f6n\u00fc\u015ft\u00fcr\u00fcr\u00fcz:<\/p>\n<pre class=\"language-sql\"><code>SELECT TO_TIMESTAMP(AVG(EXTRACT(EPOCH FROM tarih_saat))) AS ortalama_tarih_saat FROM zaman_damgalari;<\/code><\/pre>\n<p><strong>Orta Seviye:<\/strong><\/p>\n<p><strong>Ger\u00e7ek Hayat \u00d6rne\u011fi:<\/strong> Bir e-ticaret sitesindeki sipari\u015flerin ortalama teslim s\u00fcresini hesaplayal\u0131m.  Sipari\u015f tarihi ve teslim tarihi s\u00fctunlar\u0131 bulunan bir tablo oldu\u011funu varsayal\u0131m.<\/p>\n<pre class=\"language-sql\"><code>CREATE TABLE siparisler (\n    id SERIAL PRIMARY KEY,\n    siparis_tarihi TIMESTAMP WITH TIME ZONE,\n    teslim_tarihi TIMESTAMP WITH TIME ZONE\n);\n\n-- \u00d6rnek veriler (farkl\u0131 zaman dilimleri kullanarak)\nINSERT INTO siparisler (siparis_tarihi, teslim_tarihi) VALUES\n('2024-03-01 10:00:00+03', '2024-03-05 14:00:00+03'),\n('2024-03-05 12:00:00+02', '2024-03-10 16:00:00+02'),\n('2024-03-10 09:00:00+01', '2024-03-15 11:00:00+01');\n\n\nSELECT AVG(EXTRACT(EPOCH FROM (teslim_tarihi - siparis_tarihi))) AS ortalama_teslim_suresi_saniye FROM siparisler;\n\n-- Saniye cinsinden ortalama teslim s\u00fcresini g\u00fcnlere \u00e7evirme:\nSELECT (AVG(EXTRACT(EPOCH FROM (teslim_tarihi - siparis_tarihi))) \/ (60 * 60 * 24))::NUMERIC(10,2) AS ortalama_teslim_suresi_gun FROM siparisler;<\/code><\/pre>\n<p><strong>Optimizasyon \u0130pu\u00e7lar\u0131:<\/strong>  B\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in indeksleme kullan\u0131n. <code class=\"language-\">siparis_tarihi<\/code> ve <code class=\"language-\">teslim_tarihi<\/code> s\u00fctunlar\u0131na indeks eklemek sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131racakt\u0131r.<\/p>\n<p><strong>\u0130leri Seviye:<\/strong><\/p>\n<p><strong>Performans Analizi:<\/strong>  <code class=\"language-\">EXPLAIN ANALYZE<\/code> komutu ile sorgular\u0131n performans\u0131n\u0131 analiz edin.  Sorgular\u0131n y\u00fcr\u00fct\u00fclme s\u00fcresini ve kullan\u0131lan kaynaklar\u0131 inceleyin.  Gerekirse, sorgular\u0131 optimize edin.<\/p>\n<p><strong>Edge Case&#8217;ler:<\/strong>  Eksik verilerle ba\u015fa \u00e7\u0131kmak i\u00e7in <code class=\"language-\">COALESCE()<\/code> fonksiyonunu kullan\u0131n.  \u00d6rne\u011fin, <code class=\"language-\">teslim_tarihi<\/code> s\u00fctununda bo\u015f de\u011ferler varsa:<\/p>\n<pre class=\"language-sql\"><code>SELECT AVG(EXTRACT(EPOCH FROM (COALESCE(teslim_tarihi, NOW()) - siparis_tarihi))) AS ortalama_teslim_suresi_saniye FROM siparisler;<\/code><\/pre>\n<p>Bu \u00f6rnekte, <code class=\"language-\">teslim_tarihi<\/code> bo\u015fsa, <code class=\"language-\">NOW()<\/code> fonksiyonu ile g\u00fcncel tarihi kullan\u0131r\u0131z.  Bu, daha do\u011fru bir ortalama hesaplamaya yard\u0131mc\u0131 olur.  Ancak, bu yakla\u015f\u0131m\u0131n veri setinizin do\u011fas\u0131na g\u00f6re uygun olup olmad\u0131\u011f\u0131n\u0131 dikkatlice de\u011ferlendirmelisiniz.<\/p>\n<p><strong>Ger\u00e7ek D\u00fcnya Senaryolar\u0131 ve Vaka \u00c7al\u0131\u015fmalar\u0131<\/strong><\/p>\n<p><strong>1. M\u00fc\u015fteri Hizmetleri Yan\u0131t S\u00fcreleri:<\/strong> Bir m\u00fc\u015fteri hizmetleri sisteminde, her bir m\u00fc\u015fteri talebinin yan\u0131tlanmas\u0131 i\u00e7in ge\u00e7en s\u00fcreyi hesaplamak ve ortalama yan\u0131t s\u00fcresini belirlemek i\u00e7in zaman damgalar\u0131n\u0131 kullanabilirsiniz. Bu, hizmet kalitesini izlemek ve iyile\u015ftirmeler yapmak i\u00e7in \u00f6nemlidir.<\/p>\n<p><strong>2. Makine Bak\u0131m S\u00fcreleri:<\/strong>  Bir \u00fcretim tesisinde, makinelerin bak\u0131m i\u015flemlerinin ne kadar s\u00fcrd\u00fc\u011f\u00fcn\u00fc takip etmek ve ortalama bak\u0131m s\u00fcresini hesaplamak i\u00e7in zaman damgalar\u0131n\u0131 kullanabilirsiniz. Bu, bak\u0131m planlamas\u0131n\u0131 optimize etmek ve \u00fcretim duru\u015f s\u00fcrelerini azaltmak i\u00e7in kullan\u0131labilir.<\/p>\n<p><strong>3. Web Sunucu Yan\u0131t S\u00fcreleri:<\/strong> Bir web sunucusunun isteklere ne kadar h\u0131zl\u0131 yan\u0131t verdi\u011fini takip etmek ve ortalama yan\u0131t s\u00fcresini hesaplamak i\u00e7in zaman damgalar\u0131n\u0131 kullanabilirsiniz. Bu, sunucu performans\u0131n\u0131 izlemek ve iyile\u015ftirmeler yapmak i\u00e7in kullan\u0131labilir.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>PostgreSQL&#8217;de ortalama zaman damgas\u0131 hesaplamak, \u00f6zellikle b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken, dikkatli bir yakla\u015f\u0131m gerektirir.  Bu makalede, farkl\u0131 y\u00f6ntemler ve performans optimizasyon teknikleri ele al\u0131nd\u0131.  Do\u011fru sonu\u00e7lar elde etmek i\u00e7in, veri tiplerini ve zaman dilimlerini do\u011fru bir \u015fekilde y\u00f6netmek ve eksik verilerle ba\u015fa \u00e7\u0131kmak i\u00e7in uygun fonksiyonlar\u0131 kullanmak \u00f6nemlidir.  Unutmay\u0131n ki, verilerinizin yap\u0131s\u0131na ve b\u00fcy\u00fckl\u00fc\u011f\u00fcne ba\u011fl\u0131 olarak, farkl\u0131 optimizasyon teknikleri daha etkili olabilir.  Bu nedenle, her zaman <code class=\"language-\">EXPLAIN ANALYZE<\/code> komutunu kullanarak sorgular\u0131n\u0131z\u0131n performans\u0131n\u0131 analiz etmeniz \u00f6nerilir.<\/p>\n<p><strong>S\u0131k\u00e7a Sorulan Sorular:<\/strong><\/p>\n<p>1. <strong><code class=\"language-\">timestamp<\/code> ve <code class=\"language-\">timestamptz<\/code> aras\u0131ndaki fark nedir?<\/strong> <code class=\"language-\">timestamp<\/code>, zaman dilimini dikkate almazken, <code class=\"language-\">timestamptz<\/code> zaman dilimini i\u00e7erir.<br \/>\n2. <strong>B\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in performans\u0131 nas\u0131l iyile\u015ftirebilirim?<\/strong> \u0130ndeksleme kullan\u0131n ve sorgular\u0131n\u0131z\u0131 optimize edin. <code class=\"language-\">EXPLAIN ANALYZE<\/code> komutunu kullanarak performans analizi yap\u0131n.<br \/>\n3. <strong>Eksik verilerle nas\u0131l ba\u015fa \u00e7\u0131kabilirim?<\/strong> <code class=\"language-\">COALESCE()<\/code> fonksiyonunu kullanarak eksik de\u011ferler i\u00e7in varsay\u0131lan bir de\u011fer atayabilirsiniz.<br \/>\n4. <strong>Ortalama zaman damgas\u0131n\u0131 farkl\u0131 bir zaman dilimine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcrebilirim?<\/strong> <code class=\"language-\">AT TIME ZONE<\/code> fonksiyonunu kullanarak zaman damgas\u0131n\u0131 farkl\u0131 bir zaman dilimine d\u00f6n\u00fc\u015ft\u00fcrebilirsiniz.<br \/>\n5. <strong>Ortalama zaman damgas\u0131n\u0131 hesaplamak i\u00e7in alternatif y\u00f6ntemler var m\u0131?<\/strong>  Daha karma\u015f\u0131k senaryolar i\u00e7in, daha geli\u015fmi\u015f SQL teknikleri veya programlama dilleri kullanarak \u00f6zel \u00e7\u00f6z\u00fcmler geli\u015ftirebilirsiniz.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL&#8217;de Ortalama Zaman Damgas\u0131 Nas\u0131l Hesaplan\u0131r? PostgreSQL veritaban\u0131n\u0131zda zaman damgas\u0131 i\u00e7eren verileriniz varsa ve bu verilerin ortalamas\u0131n\u0131&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-25187","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) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PostgreSQL: Ortalama Zaman Damgas\u0131 Hesaplama<\/title>\n<meta name=\"description\" content=\"Hi\u00e7bir etiketi bulunamad\u0131.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PostgreSQL: Ortalama Zaman Damgas\u0131 Hesaplama\" \/>\n<meta property=\"og:description\" content=\"Hi\u00e7bir etiketi bulunamad\u0131.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-02T14:21:42+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"PostgreSQL: Ortalama Zaman Damgas\u0131 Hesaplama\",\"datePublished\":\"2025-07-02T14:21:42+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\"},\"wordCount\":860,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"articleSection\":[\"PostgreSQL\"],\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\",\"name\":\"PostgreSQL: Ortalama Zaman Damgas\u0131 Hesaplama\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-07-02T14:21:42+00:00\",\"description\":\"Hi\u00e7bir etiketi bulunamad\u0131.\",\"breadcrumb\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-ortalama-zaman-damgasi-hesaplama\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\/\/fatihsoysal.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"PostgreSQL: Ortalama Zaman Damgas\u0131 Hesaplama\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/\",\"name\":\"Fatihsoysal.com\",\"description\":\"Blog - 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