{"id":27805,"date":"2025-08-19T06:15:22","date_gmt":"2025-08-19T03:15:22","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-tarihten-ceyregi-cikarma\/"},"modified":"2025-08-19T06:15:22","modified_gmt":"2025-08-19T03:15:22","slug":"postgresql-tarihten-ceyregi-cikarma","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-tarihten-ceyregi-cikarma\/","title":{"rendered":"PostgreSQL: Tarihten \u00c7eyre\u011fi \u00c7\u0131karma"},"content":{"rendered":"<p># PostgreSQL&#8217;den \u00c7eyre\u011fi \u00c7\u0131karma: Tam Bir K\u0131lavuz<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda tarih verilerinizle \u00e7al\u0131\u015f\u0131rken, belirli bir tarihin hangi \u00e7eyrekte oldu\u011funu belirlemeniz gerekebilir.  Bu, sat\u0131\u015f raporlar\u0131 olu\u015fturmak, mevsimsel trendleri analiz etmek veya finansal verileri \u00f6zetlemek gibi bir\u00e7ok uygulamada hayati \u00f6nem ta\u015f\u0131r. Bu makale, PostgreSQL&#8217;de bir tarihten \u00e7eyre\u011fi \u00e7\u0131karma i\u015flemini ad\u0131m ad\u0131m, yeni ba\u015flayanlardan ileri d\u00fczey kullan\u0131c\u0131lara kadar herkes i\u00e7in a\u00e7\u0131klayacak ve ger\u00e7ek d\u00fcnya senaryolar\u0131yla destekleyecektir.<\/p>\n<p><strong>PostgreSQL Tarih Fonksiyonlar\u0131: Temel Kavramlar<\/strong><\/p>\n<p>PostgreSQL, tarih ve zaman verileriyle \u00e7al\u0131\u015fmak i\u00e7in g\u00fc\u00e7l\u00fc fonksiyonlar sunar.  Bu fonksiyonlar, tarihler \u00fczerinde \u00e7e\u015fitli i\u015flemler yapman\u0131za olanak tan\u0131r.  Bir tarihten \u00e7eyre\u011fi \u00e7\u0131karmak i\u00e7in kullanaca\u011f\u0131m\u0131z en \u00f6nemli fonksiyonlar <code class=\"language-\">EXTRACT()<\/code> ve <code class=\"language-\">TO_CHAR()<\/code>&#8216;d\u0131r.  <code class=\"language-\">EXTRACT()<\/code> fonksiyonu, bir tarih veya zaman de\u011ferinden belirli bir bile\u015feni (y\u0131l, ay, g\u00fcn, \u00e7eyrek vb.) ay\u0131klaman\u0131za olanak tan\u0131rken, <code class=\"language-\">TO_CHAR()<\/code> fonksiyonu tarih de\u011ferini belirli bir formatta metin olarak g\u00f6stermenizi sa\u011flar.  Her iki fonksiyon da farkl\u0131 ihtiya\u00e7lara g\u00f6re esneklik sunar.  \u00d6rne\u011fin, <code class=\"language-\">EXTRACT(QUARTER FROM tarih)<\/code> ile do\u011frudan \u00e7eyrek numaras\u0131n\u0131 (1, 2, 3 veya 4) elde edebilirsiniz.<\/p>\n<p><strong>PostgreSQL&#8217;den \u00c7eyre\u011fi \u00c7\u0131karma: 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\u015flayanlar: Temel <code class=\"language-\">EXTRACT()<\/code> Kullan\u0131m\u0131<\/strong><\/p>\n<p>PostgreSQL&#8217;de bir tarihten \u00e7eyre\u011fi \u00e7\u0131karmak i\u00e7in en basit y\u00f6ntem <code class=\"language-\">EXTRACT()<\/code> fonksiyonunu kullanmakt\u0131r.  A\u015fa\u011f\u0131daki \u00f6rnekte, <code class=\"language-\">siparisler<\/code> tablosundaki <code class=\"language-\">siparis_tarihi<\/code> s\u00fctunundan \u00e7eyre\u011fi al\u0131yoruz:<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    siparis_tarihi,\n    EXTRACT(QUARTER FROM siparis_tarihi) AS ceyrek\nFROM\n    siparisler;<\/code><\/pre>\n<p>Bu sorgu, her sipari\u015fin tarihini ve kar\u015f\u0131l\u0131k gelen \u00e7eyrek numaras\u0131n\u0131 (1-4) d\u00f6nd\u00fcr\u00fcr.  \u00d6rne\u011fin, <code class=\"language-\">2024-03-15<\/code> tarihi i\u00e7in \u00e7eyrek 1 olarak d\u00f6nd\u00fcr\u00fclecektir.<\/p>\n<p><strong># Orta Seviye: Ger\u00e7ek D\u00fcnya \u00d6rne\u011fi ve Optimizasyon \u0130pu\u00e7lar\u0131<\/strong><\/p>\n<p>\u015eimdi, bir e-ticaret \u015firketinin ayl\u0131k sat\u0131\u015flar\u0131n\u0131 \u00e7eyrek baz\u0131nda \u00f6zetlemek istedi\u011fini d\u00fc\u015f\u00fcnelim.  A\u015fa\u011f\u0131daki sorgu, her \u00e7eyrekteki toplam sat\u0131\u015flar\u0131 hesaplar:<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    EXTRACT(QUARTER FROM siparis_tarihi) AS ceyrek,\n    SUM(siparis_tutari) AS toplam_satis\nFROM\n    siparisler\nGROUP BY\n    ceyrek\nORDER BY\n    ceyrek;<\/code><\/pre>\n<p>Bu sorgu, <code class=\"language-\">siparisler<\/code> tablosundaki <code class=\"language-\">siparis_tarihi<\/code> ve <code class=\"language-\">siparis_tutari<\/code> s\u00fctunlar\u0131n\u0131 kullanarak her \u00e7eyrek i\u00e7in toplam sat\u0131\u015flar\u0131 hesaplar ve sonu\u00e7lar\u0131 \u00e7eyre\u011fe g\u00f6re s\u0131ralar.  Performans\u0131 art\u0131rmak i\u00e7in, <code class=\"language-\">siparis_tarihi<\/code> s\u00fctunu \u00fczerinde bir indeks olu\u015fturmak faydal\u0131 olabilir.  B\u00fcy\u00fck veritabanlar\u0131nda,  <code class=\"language-\">CREATE INDEX<\/code> komutu ile indeks olu\u015fturarak sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilirsiniz.  \u00d6rne\u011fin: <code class=\"language-\">CREATE INDEX siparis_tarihi_index ON siparisler (siparis_tarihi);<\/code><\/p>\n<p><strong># \u0130leri D\u00fczey: Performans Analizi ve \u00d6zel Durumlar (Edge Cases)<\/strong><\/p>\n<p>\u00c7ok b\u00fcy\u00fck veritabanlar\u0131nda, karma\u015f\u0131k sorgular\u0131n performans\u0131n\u0131 analiz etmek \u00f6nemlidir.  PostgreSQL&#8217;in sundu\u011fu <code class=\"language-\">EXPLAIN<\/code> komutu, sorgu plan\u0131n\u0131 inceleyerek performans darbo\u011fazlar\u0131n\u0131 belirlemenize yard\u0131mc\u0131 olur.  \u00d6rne\u011fin, yukar\u0131daki sorgu i\u00e7in <code class=\"language-\">EXPLAIN<\/code> komutunu kullanarak sorgu plan\u0131n\u0131 inceleyebilirsiniz: <code class=\"language-\">EXPLAIN SELECT ...<\/code> (yukar\u0131daki sorguyu ekleyin).<\/p>\n<p>\u00d6zel durumlar (edge cases) olarak, <code class=\"language-\">NULL<\/code> tarih de\u011ferlerini ele alman\u0131z gerekebilir.  <code class=\"language-\">EXTRACT()<\/code> fonksiyonu <code class=\"language-\">NULL<\/code> de\u011ferler i\u00e7in <code class=\"language-\">NULL<\/code> d\u00f6nd\u00fcr\u00fcr.  E\u011fer <code class=\"language-\">NULL<\/code> de\u011ferleri i\u015flemek istiyorsan\u0131z, <code class=\"language-\">COALESCE()<\/code> fonksiyonunu kullanarak <code class=\"language-\">NULL<\/code> de\u011ferlerini bir varsay\u0131lan de\u011ferle (\u00f6rne\u011fin, 0) de\u011fi\u015ftirebilirsiniz:<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    COALESCE(EXTRACT(QUARTER FROM siparis_tarihi), 0) AS ceyrek,\n    SUM(siparis_tutari) AS toplam_satis\nFROM\n    siparisler\nGROUP BY\n    ceyrek\nORDER BY\n    ceyrek;<\/code><\/pre>\n<p><strong>TO_CHAR Fonksiyonu ile \u00c7eyrek Bilgisinin Al\u0131nmas\u0131<\/strong><\/p>\n<p><code class=\"language-\">EXTRACT()<\/code> fonksiyonuna alternatif olarak, <code class=\"language-\">TO_CHAR()<\/code> fonksiyonunu kullanarak da \u00e7eyrek bilgisini alabilirsiniz.  Bu fonksiyon, tarih de\u011ferini belirli bir formatta metin olarak d\u00f6nd\u00fcr\u00fcr.  \u00c7eyre\u011fi almak i\u00e7in <code class=\"language-\">Q<\/code> format kodunu kullanabilirsiniz:<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    siparis_tarihi,\n    TO_CHAR(siparis_tarihi, 'Q') AS ceyrek\nFROM\n    siparisler;<\/code><\/pre>\n<p>Bu sorgu, her sipari\u015f tarihi i\u00e7in \u00e7eyrek numaras\u0131n\u0131 (1, 2, 3 veya 4) metin olarak d\u00f6nd\u00fcr\u00fcr.  Bu y\u00f6ntem, \u00f6zellikle raporlamada daha okunabilir bir \u00e7\u0131kt\u0131 sa\u011flar.<\/p>\n<p><strong>Ger\u00e7ek D\u00fcnya Vaka Analizi: Finansal Raporlama<\/strong><\/p>\n<p>Bir finans kurulu\u015funda, y\u0131ll\u0131k gelir raporlar\u0131n\u0131 \u00e7eyrek baz\u0131nda \u00f6zetlemek isteyebilirsiniz.  Bu durumda, <code class=\"language-\">EXTRACT()<\/code> veya <code class=\"language-\">TO_CHAR()<\/code> fonksiyonlar\u0131n\u0131 kullanarak her \u00e7eyre\u011fin gelirini hesaplayabilir ve g\u00f6rselle\u015ftirebilirsiniz.  Bu, \u015firketin performans\u0131n\u0131 \u00e7eyreklik olarak izlemek ve gelecekteki stratejileri planlamak i\u00e7in \u00f6nemli bir ara\u00e7t\u0131r.  Veri analizi ve raporlama i\u00e7in daha geli\u015fmi\u015f ara\u00e7lar kullanarak, bu bilgileri daha detayl\u0131 analiz edebilir ve daha etkili kararlar alabilirsiniz.<\/p>\n<p><strong>PostgreSQL&#8217;de Tarih \u0130\u015flemleri: Performans Optimizasyonu<\/strong><\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda tarih i\u015flemlerinin performans\u0131n\u0131 optimize etmek i\u00e7in birka\u00e7 \u00f6nemli ipucu:<\/p>\n<p>* <strong>\u0130ndeksler:<\/strong> Tarih s\u00fctunlar\u0131na indeks olu\u015fturmak, \u00f6zellikle b\u00fcy\u00fck veritabanlar\u0131nda sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r.<br \/>\n* <strong>Fonksiyonel \u0130ndeksler:<\/strong> Karma\u015f\u0131k tarih fonksiyonlar\u0131n\u0131 i\u00e7eren sorgular i\u00e7in fonksiyonel indeksler kullanabilirsiniz.<br \/>\n* <strong>PART\u0130T\u0130ONlama:<\/strong> \u00c7ok b\u00fcy\u00fck tarih tablolar\u0131n\u0131 par\u00e7alara ay\u0131rmak (partitioning), sorgu performans\u0131n\u0131 iyile\u015ftirebilir.<br \/>\n* <strong>Analiz:<\/strong> <code class=\"language-\">ANALYZE<\/code> komutu, veritaban\u0131 istatistiklerini g\u00fcncelleyerek sorgu planlay\u0131c\u0131s\u0131n\u0131n daha iyi planlar olu\u015fturmas\u0131na yard\u0131mc\u0131 olur.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>Bu makale, PostgreSQL&#8217;de bir tarihten \u00e7eyre\u011fi \u00e7\u0131karma i\u015flemini ad\u0131m ad\u0131m a\u00e7\u0131klad\u0131 ve ger\u00e7ek d\u00fcnya senaryolar\u0131yla destekledi.  <code class=\"language-\">EXTRACT()<\/code> ve <code class=\"language-\">TO_CHAR()<\/code> fonksiyonlar\u0131n\u0131n farkl\u0131 kullan\u0131m durumlar\u0131n\u0131 ve performans optimizasyon tekniklerini ele ald\u0131k.  Uygun y\u00f6ntemin se\u00e7imi, \u00f6zel ihtiya\u00e7lar\u0131n\u0131za ve veri b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fcze ba\u011fl\u0131d\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><code class=\"language-\">EXTRACT()<\/code> ve <code class=\"language-\">TO_CHAR()<\/code> aras\u0131nda hangi fonksiyonu kullanmal\u0131y\u0131m?<\/strong>  <code class=\"language-\">EXTRACT()<\/code> say\u0131sal bir de\u011fer d\u00f6nd\u00fcr\u00fcrken, <code class=\"language-\">TO_CHAR()<\/code> metinsel bir de\u011fer d\u00f6nd\u00fcr\u00fcr.  Say\u0131sal i\u015flemler yap\u0131yorsan\u0131z <code class=\"language-\">EXTRACT()<\/code>&#8216;\u0131, raporlamada ise <code class=\"language-\">TO_CHAR()<\/code>&#8216;\u0131 tercih edebilirsiniz.<\/p>\n<p>2. <strong><code class=\"language-\">NULL<\/code> tarih de\u011ferlerini nas\u0131l ele alabilirim?<\/strong> <code class=\"language-\">COALESCE()<\/code> fonksiyonunu kullanarak <code class=\"language-\">NULL<\/code> de\u011ferlerini varsay\u0131lan bir de\u011ferle de\u011fi\u015ftirebilirsiniz.<\/p>\n<p>3. <strong>Performans\u0131 nas\u0131l optimize edebilirim?<\/strong> \u0130ndeksler olu\u015fturarak, fonksiyonel indeksler kullanarak, tablolar\u0131 par\u00e7alara ay\u0131rarak (partitioning) ve <code class=\"language-\">ANALYZE<\/code> komutunu kullanarak performans\u0131 art\u0131rabilirsiniz.<\/p>\n<p>4. <strong>Daha karma\u015f\u0131k tarih i\u015flemleri i\u00e7in ne yapabilirim?<\/strong> PostgreSQL&#8217;in sundu\u011fu di\u011fer tarih fonksiyonlar\u0131n\u0131 inceleyebilirsiniz.  Daha fazla bilgi i\u00e7in PostgreSQL dok\u00fcmanlar\u0131na bakabilirsiniz.<\/p>\n<p>5. <strong>Farkl\u0131 tarih formatlar\u0131n\u0131 nas\u0131l i\u015fleyebilirim?<\/strong>  <code class=\"language-\">TO_DATE()<\/code> fonksiyonu ile farkl\u0131 formatlardaki tarih metinlerini PostgreSQL tarih verisine d\u00f6n\u00fc\u015ft\u00fcrebilirsiniz.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL&#8217;den \u00c7eyre\u011fi \u00c7\u0131karma: Tam Bir K\u0131lavuz PostgreSQL veritaban\u0131n\u0131zda tarih verilerinizle \u00e7al\u0131\u015f\u0131rken, belirli bir tarihin hangi \u00e7eyrekte oldu\u011funu&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-27805","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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