{"id":26264,"date":"2025-07-22T18:15:25","date_gmt":"2025-07-22T15:15:25","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-zaman-damgasini-tam-sayiya-donusturme\/"},"modified":"2025-07-22T18:15:25","modified_gmt":"2025-07-22T15:15:25","slug":"postgresql-zaman-damgasini-tam-sayiya-donusturme","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-zaman-damgasini-tam-sayiya-donusturme\/","title":{"rendered":"PostgreSQL: Zaman Damgas\u0131n\u0131 Tam Say\u0131ya D\u00f6n\u00fc\u015ft\u00fcrme"},"content":{"rendered":"<p># PostgreSQL Zaman Damgas\u0131n\u0131 Tam Say\u0131ya D\u00f6n\u00fc\u015ft\u00fcrme: Tam Bir Rehber<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda zaman damgas\u0131 (timestamp) verisiyle \u00e7al\u0131\u015f\u0131yor ve bu verileri tam say\u0131ya d\u00f6n\u00fc\u015ft\u00fcrmeniz mi gerekiyor?  \u00d6rne\u011fin, zaman serileri analizi yapmak, verileri ba\u015fka bir sisteme aktarmak veya daha basit bir veri yap\u0131s\u0131yla \u00e7al\u0131\u015fmak isteyebilirsiniz. Bu rehberde, PostgreSQL&#8217;de zaman damgas\u0131n\u0131 tam say\u0131ya d\u00f6n\u00fc\u015ft\u00fcrmenin farkl\u0131 y\u00f6ntemlerini, performans optimizasyonlar\u0131n\u0131 ve olas\u0131 sorunlar\u0131 ad\u0131m ad\u0131m ele alaca\u011f\u0131z.  Farkl\u0131 deneyim seviyelerine uygun \u00f6rnekler ve ger\u00e7ek d\u00fcnya senaryolar\u0131 sunaca\u011f\u0131z.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131 ve Tam Say\u0131 D\u00f6n\u00fc\u015f\u00fcm\u00fc: Temel Kavramlar<\/strong><\/p>\n<p>PostgreSQL, <code class=\"language-\">timestamp<\/code> veri tipiyle tarih ve zaman bilgilerini saklar.  Bu veri tipi, tarih ve saati birlikte temsil eder ve y\u00fcksek hassasiyet sunar. Ancak, baz\u0131 durumlarda, \u00f6zellikle performans kritik i\u015flemlerinde veya di\u011fer sistemlerle entegrasyonda, tam say\u0131 temsili daha avantajl\u0131 olabilir.  Tam say\u0131, daha az yer kaplar ve baz\u0131 hesaplamalar\u0131 h\u0131zland\u0131rabilir.  Ancak, tam say\u0131ya d\u00f6n\u00fc\u015ft\u00fcrme i\u015flemi, zaman damgas\u0131n\u0131n ta\u015f\u0131d\u0131\u011f\u0131 bilgiyi k\u0131smen kaybedebilir. \u00d6rne\u011fin, saniyeden k\u00fc\u00e7\u00fck zaman birimlerini (milisaniye, mikrosaniye) kaybedebilirsiniz.  Bu nedenle, d\u00f6n\u00fc\u015f\u00fcm y\u00f6ntemini dikkatlice se\u00e7meniz ve potansiyel veri kayb\u0131n\u0131 g\u00f6z \u00f6n\u00fcnde bulundurman\u0131z \u00f6nemlidir.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131n\u0131 Tam Say\u0131ya D\u00f6n\u00fc\u015ft\u00fcrme: Uygulamal\u0131 K\u0131lavuz<\/strong><\/p>\n<p>Bu b\u00f6l\u00fcmde, PostgreSQL&#8217;de zaman damgas\u0131n\u0131 tam say\u0131ya d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in kullanabilece\u011finiz farkl\u0131 y\u00f6ntemleri ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z.<\/p>\n<p><strong># <strong>Yeni Ba\u015flayanlar \u0130\u00e7in Ad\u0131m Ad\u0131m A\u00e7\u0131klama:<\/strong><\/strong><\/p>\n<p><strong>Ad\u0131m 1:<\/strong> Basit bir tablo olu\u015ftural\u0131m:<\/p>\n<pre class=\"language-sql\"><code>CREATE TABLE zaman_kayitlari (\n    id SERIAL PRIMARY KEY,\n    olay_zamani TIMESTAMP WITHOUT TIME ZONE\n);<\/code><\/pre>\n<p><strong>Ad\u0131m 2:<\/strong>  Tabloya baz\u0131 veriler ekleyelim:<\/p>\n<pre class=\"language-sql\"><code>INSERT INTO zaman_kayitlari (olay_zamani) VALUES\n('2024-03-08 10:00:00'),\n('2024-03-08 10:30:00'),\n('2024-03-08 11:00:00');<\/code><\/pre>\n<p><strong>Ad\u0131m 3:<\/strong>  <code class=\"language-\">EXTRACT<\/code> fonksiyonunu kullanarak epoksi zaman\u0131 (Unix zaman damgas\u0131) elde edelim.  Epoksi zaman, 1 Ocak 1970&#8217;ten itibaren ge\u00e7en saniyeleri temsil eder.<\/p>\n<pre class=\"language-sql\"><code>SELECT EXTRACT(EPOCH FROM olay_zamani) AS epoksi_zaman FROM zaman_kayitlari;<\/code><\/pre>\n<p>Bu sorgu, <code class=\"language-\">olay_zamani<\/code> s\u00fctunundaki her zaman damgas\u0131 i\u00e7in 1 Ocak 1970&#8217;ten itibaren ge\u00e7en saniyeleri  <code class=\"language-\">epoksi_zaman<\/code> s\u00fctununda tam say\u0131 olarak d\u00f6nd\u00fcrecektir.<\/p>\n<p><strong># <strong>Orta Seviye: Ger\u00e7ek Hayat \u00d6rne\u011fi ve Optimizasyon \u0130pu\u00e7lar\u0131<\/strong><\/strong><\/p>\n<p>Bir e-ticaret sitesinin g\u00fcnl\u00fck sat\u0131\u015f verilerini kaydetti\u011fini d\u00fc\u015f\u00fcnelim.  Sat\u0131\u015flar\u0131n ger\u00e7ekle\u015fti\u011fi zaman damgas\u0131n\u0131 kaydediyoruz ve bu zaman damgas\u0131n\u0131 kullanarak g\u00fcnl\u00fck sat\u0131\u015flar\u0131 toplamak istiyoruz.  A\u015fa\u011f\u0131daki sorgu, g\u00fcnl\u00fck sat\u0131\u015flar\u0131 toplamak i\u00e7in <code class=\"language-\">EXTRACT<\/code> fonksiyonu ve <code class=\"language-\">DATE<\/code> fonksiyonunu birle\u015ftirir:<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    DATE(olay_zamani) AS satis_tarihi,\n    SUM(satis_tutari) AS toplam_satis\nFROM\n    satislar\nGROUP BY\n    satis_tarihi\nORDER BY\n    satis_tarihi;<\/code><\/pre>\n<p>Bu sorgu, verimlili\u011fini art\u0131rmak i\u00e7in indeksleme gerektirir.  <code class=\"language-\">olay_zamani<\/code> s\u00fctununa bir indeks eklemek sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirecektir.<\/p>\n<pre class=\"language-sql\"><code>CREATE INDEX idx_olay_zamani ON satislar (olay_zamani);<\/code><\/pre>\n<p><strong>Optimizasyon \u0130pu\u00e7lar\u0131:<\/strong><\/p>\n<p>* <strong>\u0130ndeksleme:<\/strong>  Zaman damgas\u0131 s\u00fctunlar\u0131na indeks eklemek, \u00f6zellikle b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirir.<br \/>\n* <strong>Fonksiyonel \u0130ndeksler:<\/strong>  <code class=\"language-\">EXTRACT(EPOCH FROM olay_zamani)<\/code> gibi fonksiyonel ifadeleri indekslemek, epoksi zaman\u0131 bazl\u0131 sorgular\u0131 h\u0131zland\u0131r\u0131r. Ancak, fonksiyonel indeksler, depolama alan\u0131 kullan\u0131m\u0131n\u0131 art\u0131rabilir.<br \/>\n* <strong>Par\u00e7alama:<\/strong>  B\u00fcy\u00fck tablolar\u0131 par\u00e7alamak (partitioning), belirli zaman dilimlerine ait verileri ayr\u0131 par\u00e7alarda tutarak sorgu performans\u0131n\u0131 art\u0131r\u0131r.<\/p>\n<p><strong># <strong>\u0130leri D\u00fczey: Performans Analizi ve Edge Case&#8217;ler<\/strong><\/strong><\/p>\n<p>\u00c7ok b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken, performans analizi kritik \u00f6nem ta\u015f\u0131r.  <code class=\"language-\">EXPLAIN ANALYZE<\/code> komutu, sorgular\u0131n performans\u0131n\u0131 analiz etmenize ve iyile\u015ftirme alanlar\u0131n\u0131 belirlemenize yard\u0131mc\u0131 olur.  \u00d6rne\u011fin:<\/p>\n<pre class=\"language-sql\"><code>EXPLAIN ANALYZE SELECT EXTRACT(EPOCH FROM olay_zamani) FROM zaman_kayitlari;<\/code><\/pre>\n<p>Bu komut, sorgunun y\u00fcr\u00fctme plan\u0131n\u0131 ve s\u00fcresini g\u00f6sterir.  Plan\u0131 inceleyerek, indeks eksikli\u011fi, yanl\u0131\u015f indeks se\u00e7imi veya di\u011fer performans sorunlar\u0131n\u0131 tespit edebilirsiniz.<\/p>\n<p><strong>Edge Case&#8217;ler:<\/strong><\/p>\n<p>* <strong>Zaman dilimi fark\u0131ndal\u0131\u011f\u0131:<\/strong>  <code class=\"language-\">timestamp with time zone<\/code> kullan\u0131rken, zaman dilimi fark\u0131ndal\u0131\u011f\u0131na dikkat etmek \u00f6nemlidir.  D\u00f6n\u00fc\u015ft\u00fcrme i\u015flemi s\u0131ras\u0131nda, zaman diliminin do\u011fru \u015fekilde i\u015flendi\u011finden emin olun.<br \/>\n* <strong>Veri kayb\u0131:<\/strong>  Tam say\u0131ya d\u00f6n\u00fc\u015ft\u00fcrme i\u015flemi, saniyeden k\u00fc\u00e7\u00fck zaman birimlerini kaybedebilir.  Bu durumun uygulaman\u0131z i\u00e7in uygun olup olmad\u0131\u011f\u0131n\u0131 de\u011ferlendirin.<br \/>\n* <strong>Tam say\u0131 aral\u0131\u011f\u0131:<\/strong>  Epoksi zaman, b\u00fcy\u00fck bir tam say\u0131 olabilir.  Kullanaca\u011f\u0131n\u0131z tam say\u0131 veri tipinin bu de\u011feri tutabilece\u011finden emin olun.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131n\u0131 Tam Say\u0131ya D\u00f6n\u00fc\u015ft\u00fcrme: Ger\u00e7ek D\u00fcnya Senaryolar\u0131<\/strong><\/p>\n<p><strong>Senaryo 1: Log Dosyas\u0131 Analizi:<\/strong>  Bir web sunucusunun log dosyalar\u0131n\u0131 analiz etmek ve belirli zaman dilimlerinde olu\u015fan olay say\u0131s\u0131n\u0131 saymak istedi\u011finizi d\u00fc\u015f\u00fcn\u00fcn.  Zaman damgas\u0131 verilerini epoksi zaman\u0131na d\u00f6n\u00fc\u015ft\u00fcrerek, verimli bir \u015fekilde say\u0131m yapabilirsiniz.<\/p>\n<p><strong>Senaryo 2: Zaman Serileri Analizi:<\/strong>  Hisselerinin fiyatlar\u0131n\u0131 kaydeden bir finansal uygulama d\u00fc\u015f\u00fcn\u00fcn.  Fiyatlar\u0131n zaman i\u00e7indeki de\u011fi\u015fimini analiz etmek i\u00e7in, zaman damgas\u0131n\u0131 epoksi zaman\u0131na d\u00f6n\u00fc\u015ft\u00fcrerek zaman serileri analizi yapabilirsiniz.<\/p>\n<p><strong>Senaryo 3: Veri Entegrasyonu:<\/strong>  PostgreSQL veritaban\u0131ndaki verileri ba\u015fka bir sisteme (\u00f6rne\u011fin, NoSQL veritaban\u0131) aktarmak istedi\u011finizi d\u00fc\u015f\u00fcn\u00fcn.  Hedef sistem, zaman damgas\u0131n\u0131 desteklemiyorsa, epoksi zaman\u0131 gibi bir tam say\u0131 temsili kullanabilirsiniz.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>Bu rehberde, PostgreSQL&#8217;de zaman damgas\u0131n\u0131 tam say\u0131ya d\u00f6n\u00fc\u015ft\u00fcrmenin farkl\u0131 y\u00f6ntemlerini, performans optimizasyonlar\u0131n\u0131 ve olas\u0131 sorunlar\u0131 ele ald\u0131k.  Farkl\u0131 deneyim seviyelerine uygun \u00f6rnekler ve ger\u00e7ek d\u00fcnya senaryolar\u0131 sunduk.  Do\u011fru y\u00f6ntemi se\u00e7mek ve potansiyel sorunlar\u0131 \u00f6nlemek i\u00e7in bu rehberi dikkatlice inceleyin. Daha fazla bilgi i\u00e7in [Fatih Soysal&#8217;\u0131n bloguna](https:\/\/fatihsoysal.com) g\u00f6z atabilirsiniz.<\/p>\n<p><strong>S\u0131k\u00e7a Sorulan Sorular:<\/strong><\/p>\n<p>1. <strong><code class=\"language-\">EXTRACT(EPOCH FROM timestamp)<\/code> fonksiyonu hangi zaman dilimini kullan\u0131r?<\/strong>  <code class=\"language-\">timestamp without time zone<\/code> i\u00e7in UTC kullan\u0131r; <code class=\"language-\">timestamp with time zone<\/code> i\u00e7in, veritaban\u0131n\u0131n zaman dilimi ayar\u0131na ba\u011fl\u0131d\u0131r.<\/p>\n<p>2. <strong>B\u00fcy\u00fck bir tablo i\u00e7in performans\u0131 nas\u0131l iyile\u015ftirebilirim?<\/strong>  \u0130ndeksleme, par\u00e7alama ve sorgu optimizasyonu tekniklerini kullan\u0131n.<\/p>\n<p>3. <strong>Hangi tam say\u0131 veri tipini kullanmal\u0131y\u0131m?<\/strong>  Verilerinizin aral\u0131\u011f\u0131na ba\u011fl\u0131 olarak <code class=\"language-\">bigint<\/code> veya <code class=\"language-\">numeric<\/code> kullanabilirsiniz.<\/p>\n<p>4. <strong>Veri kayb\u0131n\u0131 nas\u0131l \u00f6nleyebilirim?<\/strong>  Saniyeden k\u00fc\u00e7\u00fck zaman birimlerini kaydetmeniz gerekirse, tam say\u0131 yerine <code class=\"language-\">timestamp<\/code> veri tipini kullan\u0131n.<\/p>\n<p>5.  <strong>Fonksiyonel indeksler ne zaman kullan\u0131lmal\u0131d\u0131r?<\/strong>  S\u0131k\u00e7a fonksiyonel ifadeler i\u00e7eren sorgular\u0131n\u0131z varsa, fonksiyonel indeksler performans\u0131 art\u0131rabilir. Ancak, depolama alan\u0131 kullan\u0131m\u0131n\u0131 art\u0131rd\u0131klar\u0131n\u0131 unutmay\u0131n.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL Zaman Damgas\u0131n\u0131 Tam Say\u0131ya D\u00f6n\u00fc\u015ft\u00fcrme: Tam Bir Rehber PostgreSQL veritaban\u0131n\u0131zda zaman damgas\u0131 (timestamp) verisiyle \u00e7al\u0131\u015f\u0131yor ve&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-26264","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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