{"id":26716,"date":"2025-07-29T21:15:27","date_gmt":"2025-07-29T18:15:27","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-iki-zaman-damgasi-arasinda-kayitlari-secme\/"},"modified":"2025-07-29T21:15:27","modified_gmt":"2025-07-29T18:15:27","slug":"postgresql-iki-zaman-damgasi-arasinda-kayitlari-secme","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-iki-zaman-damgasi-arasinda-kayitlari-secme\/","title":{"rendered":"PostgreSQL: \u0130ki Zaman Damgas\u0131 Aras\u0131nda Kay\u0131tlar\u0131 Se\u00e7me"},"content":{"rendered":"<p># PostgreSQL&#8217;de Zaman Damgas\u0131 Aral\u0131\u011f\u0131yla Kay\u0131t Se\u00e7imi<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda belirli bir zaman aral\u0131\u011f\u0131 i\u00e7indeki kay\u0131tlar\u0131 se\u00e7mek mi istiyorsunuz?  \u00d6rne\u011fin, son bir hafta i\u00e7indeki sipari\u015fleri, ge\u00e7en ayki kullan\u0131c\u0131 aktivitelerini veya belirli bir tarih aral\u0131\u011f\u0131nda ger\u00e7ekle\u015fen olaylar\u0131 m\u0131 sorgulamak istiyorsunuz? Bu makalede, PostgreSQL&#8217;de zaman damgas\u0131 aral\u0131klar\u0131na g\u00f6re kay\u0131t se\u00e7meyi ad\u0131m ad\u0131m \u00f6\u011frenecek, performans optimizasyon tekniklerini ke\u015ffedecek ve ger\u00e7ek d\u00fcnya senaryolar\u0131yla kar\u015f\u0131la\u015faca\u011f\u0131z.  Zaman damgas\u0131 sorgular\u0131n\u0131n inceliklerini anlamak, veritaban\u0131n\u0131zdan en iyi \u015fekilde faydalanman\u0131za yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131 Temelleri: Ba\u015flang\u0131\u00e7 Rehberi<\/strong><\/p>\n<p>PostgreSQL, <code class=\"language-\">timestamp<\/code> ve <code class=\"language-\">timestamptz<\/code> olmak \u00fczere iki temel zaman damgas\u0131 veri tipi kullan\u0131r.  <code class=\"language-\">timestamp<\/code>, zaman dilimi bilgisi i\u00e7ermeyen bir tarih ve saat de\u011ferini temsil ederken, <code class=\"language-\">timestamptz<\/code>, UTC (Coordinated Universal Time) zaman dilimine g\u00f6re saklanan bir tarih ve saat de\u011feridir.  Hangi veri tipini kullanaca\u011f\u0131n\u0131z, uygulaman\u0131z\u0131n ihtiya\u00e7lar\u0131na ba\u011fl\u0131d\u0131r.  Uluslararas\u0131 bir uygulama geli\u015ftiriyorsan\u0131z ve zaman dilimi bilgisi \u00f6nemliyse, <code class=\"language-\">timestamptz<\/code> kullanman\u0131z \u00f6nerilir.<\/p>\n<p><strong>Yeni Ba\u015flayanlar \u0130\u00e7in Ad\u0131m Ad\u0131m A\u00e7\u0131klama:<\/strong><\/p>\n<p>\u00d6ncelikle, basit bir \u00f6rnek \u00fczerinden gidelim.  <code class=\"language-\">orders<\/code> adl\u0131 bir tablomuz olsun ve bu tabloda <code class=\"language-\">order_date<\/code> ad\u0131nda bir <code class=\"language-\">timestamptz<\/code> s\u00fctunu bulunsun.  Son 24 saat i\u00e7indeki sipari\u015fleri se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki sorguyu kullanabiliriz:<\/p>\n<pre class=\"language-sql\"><code>SELECT *\nFROM orders\nWHERE order_date &gt;= NOW() - INTERVAL '24 hours';<\/code><\/pre>\n<p>Bu sorgu, <code class=\"language-\">NOW()<\/code> fonksiyonu ile \u015fu anki zaman\u0131 al\u0131r ve <code class=\"language-\">INTERVAL '24 hours'<\/code> ile 24 saat geriye gider. <code class=\"language-\">>=<\/code> operat\u00f6r\u00fc ile \u015fu anki zamandan 24 saat \u00f6nceki ve sonraki t\u00fcm zamanlar\u0131 kapsar.  Daha dar bir aral\u0131k i\u00e7in <code class=\"language-\">BETWEEN<\/code> operat\u00f6r\u00fcn\u00fc kullanabiliriz:<\/p>\n<pre class=\"language-sql\"><code>SELECT *\nFROM orders\nWHERE order_date BETWEEN NOW() - INTERVAL '24 hours' AND NOW();<\/code><\/pre>\n<p>Bu sorgu, son 24 saat i\u00e7indeki sipari\u015fleri daha a\u00e7\u0131k bir \u015fekilde se\u00e7er.  Bu basit \u00f6rnek, zaman aral\u0131\u011f\u0131 sorgular\u0131n\u0131n temel mant\u0131\u011f\u0131n\u0131 g\u00f6stermektedir.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131 Aral\u0131\u011f\u0131 Sorgu \u00d6rnekleri: Orta Seviye<\/strong><\/p>\n<p>\u015eimdi, biraz daha karma\u015f\u0131k bir senaryo ele alal\u0131m.  Bir e-ticaret platformunda \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 ve belirli bir tarih aral\u0131\u011f\u0131nda yap\u0131lan sipari\u015flerin toplam tutar\u0131n\u0131 hesaplamam\u0131z gerekti\u011fini varsayal\u0131m.  <code class=\"language-\">orders<\/code> tablomuzda <code class=\"language-\">order_total<\/code> ad\u0131nda bir s\u00fctun daha oldu\u011funu varsayal\u0131m.<\/p>\n<pre class=\"language-sql\"><code>SELECT SUM(order_total)\nFROM orders\nWHERE order_date BETWEEN '2024-10-26 00:00:00' AND '2024-10-27 23:59:59';<\/code><\/pre>\n<p>Bu sorgu, 26 Ekim 2024 ile 27 Ekim 2024 tarihleri aras\u0131nda yap\u0131lan sipari\u015flerin toplam tutar\u0131n\u0131 hesaplar.  Dikkat edilmesi gereken nokta, <code class=\"language-\">BETWEEN<\/code> operat\u00f6r\u00fcn\u00fcn s\u0131n\u0131r de\u011ferlerini de i\u00e7ermesidir.  E\u011fer sadece 26 Ekim&#8217;deki sipari\u015fleri almak isteseydik, sorguyu \u015f\u00f6yle de\u011fi\u015ftirebilirdik:<\/p>\n<pre class=\"language-sql\"><code>SELECT SUM(order_total)\nFROM orders\nWHERE order_date &gt;= '2024-10-26 00:00:00' AND order_date &lt; '2024-10-27 00:00:00';<\/code><\/pre>\n<p>Bu, performans optimizasyonu a\u00e7\u0131s\u0131ndan da daha verimli olabilir. \u00c7\u00fcnk\u00fc <code class=\"language-\">BETWEEN<\/code> operat\u00f6r\u00fc, iki tarih aras\u0131ndaki t\u00fcm de\u011ferleri kontrol ederken, bu \u00f6rnekte indeks kullan\u0131m\u0131 daha kolay hale gelir.<\/p>\n<p><strong>Optimizasyon \u0130pu\u00e7lar\u0131:<\/strong><\/p>\n<p>* <strong>\u0130ndeksler:<\/strong>  <code class=\"language-\">order_date<\/code> s\u00fctununa bir indeks eklemek, \u00f6zellikle b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131racakt\u0131r.<br \/>\n* <strong>Fonksiyonel \u0130ndeksler:<\/strong>  <code class=\"language-\">NOW()<\/code> fonksiyonu her sat\u0131r i\u00e7in tekrar hesapland\u0131\u011f\u0131 i\u00e7in performans\u0131 d\u00fc\u015f\u00fcrebilir.  Bu durumlarda fonksiyonel indeksler kullanarak performans\u0131 iyile\u015ftirebilirsiniz.  \u00d6rne\u011fin: <code class=\"language-\">CREATE INDEX idx_order_date_now ON orders ((NOW() - order_date));<\/code> (Bu indeks her zaman g\u00fcncel olmayacakt\u0131r, dikkatli kullan\u0131lmal\u0131d\u0131r).<br \/>\n* <strong>Tarih Aral\u0131\u011f\u0131 Se\u00e7imi:<\/strong> Gereksiz yere geni\u015f tarih aral\u0131klar\u0131 kullanmaktan ka\u00e7\u0131n\u0131n.  M\u00fcmk\u00fcn oldu\u011funca dar ve spesifik aral\u0131klar belirleyin.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131 Sorgu Optimizasyonu: \u0130leri D\u00fczey<\/strong><\/p>\n<p>B\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken, performans optimizasyonu son derece \u00f6nemlidir.  Zaman damgas\u0131 sorgular\u0131n\u0131n performans\u0131n\u0131 etkileyen fakt\u00f6rleri anlamak, veritaban\u0131n\u0131z\u0131n \u00f6l\u00e7eklenebilirli\u011fini ve performans\u0131n\u0131 art\u0131rman\u0131za yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n<p><strong>Performans Analizi:<\/strong><\/p>\n<p>PostgreSQL&#8217;in sundu\u011fu <code class=\"language-\">EXPLAIN<\/code> komutu, sorgular\u0131n\u0131z\u0131n nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 analiz etmenizi sa\u011flar.  Sorgunuzun performans\u0131n\u0131 iyile\u015ftirmek i\u00e7in <code class=\"language-\">EXPLAIN<\/code> \u00e7\u0131kt\u0131s\u0131n\u0131 inceleyerek, indeks kullan\u0131m\u0131, tablo taramalar\u0131 ve di\u011fer performans sorunlar\u0131n\u0131 tespit edebilirsiniz.  \u00d6rne\u011fin:<\/p>\n<pre class=\"language-sql\"><code>EXPLAIN SELECT * FROM orders WHERE order_date BETWEEN '2024-10-26 00:00:00' AND '2024-10-27 23:59:59';<\/code><\/pre>\n<p>Bu komut, sorgunun y\u00fcr\u00fctme plan\u0131n\u0131 g\u00f6sterir.  E\u011fer indeks kullan\u0131m\u0131 g\u00f6sterilmiyorsa, indeks eklemeniz gerekebilir.<\/p>\n<p><strong>Edge Case&#8217;ler:<\/strong><\/p>\n<p>* <strong>Zaman Dilimi Farkl\u0131l\u0131klar\u0131:<\/strong>  <code class=\"language-\">timestamp<\/code> ve <code class=\"language-\">timestamptz<\/code> veri tiplerini do\u011fru kullanmak \u00f6nemlidir.  Yanl\u0131\u015f veri tipi kullan\u0131m\u0131, beklenmedik sonu\u00e7lara yol a\u00e7abilir.<br \/>\n* <strong>Yaz\u0131l\u0131m Hata Ay\u0131klama:<\/strong>  Tarih ve saat hesaplamalar\u0131nda hatalar olabilir.  Bu hatalar\u0131 tespit etmek i\u00e7in dikkatlice kodunuzu inceleyin ve test edin.<br \/>\n* <strong>Veri B\u00fct\u00fcnl\u00fc\u011f\u00fc:<\/strong>  Veritaban\u0131n\u0131zdaki zaman damgas\u0131 verilerinin tutarl\u0131 ve do\u011fru oldu\u011fundan emin olun.  Yanl\u0131\u015f veya eksik veriler, sorgu sonu\u00e7lar\u0131n\u0131z\u0131 etkileyebilir.<\/p>\n<p><strong>PostgreSQL Zaman Damgas\u0131 Aral\u0131\u011f\u0131 Sorgu \u00d6rnekleri: Ger\u00e7ek D\u00fcnya Senaryolar\u0131<\/strong><\/p>\n<p><strong>Vaka Analizi 1:  Log Dosyas\u0131 Analizi<\/strong><\/p>\n<p>Bir web sunucusunun log dosyalar\u0131n\u0131 PostgreSQL veritaban\u0131na kaydetti\u011finizi ve belirli bir zaman aral\u0131\u011f\u0131nda olu\u015fan hatalar\u0131 analiz etmek istedi\u011finizi varsayal\u0131m.  Log tablosunda <code class=\"language-\">log_timestamp<\/code> ve <code class=\"language-\">error_message<\/code> s\u00fctunlar\u0131 olsun.  Son bir saat i\u00e7inde olu\u015fan hatalar\u0131 \u015fu \u015fekilde sorgulayabilirsiniz:<\/p>\n<pre class=\"language-sql\"><code>SELECT *\nFROM logs\nWHERE log_timestamp &gt;= NOW() - INTERVAL '1 hour'\n  AND error_message LIKE '%error%';<\/code><\/pre>\n<p><strong>Vaka Analizi 2:  Kullan\u0131c\u0131 Aktivitesi \u0130zleme<\/strong><\/p>\n<p>Bir sosyal medya platformunda, son 7 g\u00fcn i\u00e7inde aktif olan kullan\u0131c\u0131lar\u0131 belirlemek istiyorsunuz.  <code class=\"language-\">users<\/code> tablosunda <code class=\"language-\">last_login<\/code> s\u00fctunu olsun.<\/p>\n<pre class=\"language-sql\"><code>SELECT DISTINCT user_id\nFROM users\nWHERE last_login &gt;= NOW() - INTERVAL '7 days';<\/code><\/pre>\n<p><strong>Vaka Analizi 3:  Sat\u0131\u015f Raporlamas\u0131<\/strong><\/p>\n<p>Bir perakende \u015firketinde, belirli bir ayda her \u00fcr\u00fcn\u00fcn toplam sat\u0131\u015f\u0131n\u0131 hesaplamak istiyorsunuz.  <code class=\"language-\">sales<\/code> tablosunda <code class=\"language-\">sale_date<\/code> ve <code class=\"language-\">product_id<\/code> s\u00fctunlar\u0131 olsun.<\/p>\n<pre class=\"language-sql\"><code>SELECT product_id, SUM(quantity) AS total_sales\nFROM sales\nWHERE sale_date BETWEEN '2024-10-01' AND '2024-10-31'\nGROUP BY product_id;<\/code><\/pre>\n<p><strong>PostgreSQL Zaman Damgas\u0131 Sorgu:  Uygulamal\u0131 K\u0131lavuz ve \u0130pu\u00e7lar\u0131<\/strong><\/p>\n<p>Bu b\u00f6l\u00fcmde, farkl\u0131 zaman aral\u0131klar\u0131n\u0131 se\u00e7mek i\u00e7in kullan\u0131labilecek \u00e7e\u015fitli fonksiyonlar\u0131 ve teknikleri ele alaca\u011f\u0131z.<\/p>\n<p><strong><code class=\"language-\">EXTRACT<\/code> Fonksiyonu:<\/strong>  Belirli tarih bile\u015fenlerini (y\u0131l, ay, g\u00fcn, saat, dakika, saniye) ay\u0131klamak i\u00e7in <code class=\"language-\">EXTRACT<\/code> fonksiyonunu kullanabilirsiniz.  \u00d6rne\u011fin, Ekim 2024&#8217;te yap\u0131lan sipari\u015fleri se\u00e7mek i\u00e7in:<\/p>\n<pre class=\"language-sql\"><code>SELECT *\nFROM orders\nWHERE EXTRACT(YEAR FROM order_date) = 2024\n  AND EXTRACT(MONTH FROM order_date) = 10;<\/code><\/pre>\n<p><strong><code class=\"language-\">DATE_TRUNC<\/code> Fonksiyonu:<\/strong>  Tarih ve zaman de\u011ferlerini belirli bir zaman birimine (y\u0131l, ay, g\u00fcn, saat vb.) yuvarlamak i\u00e7in <code class=\"language-\">DATE_TRUNC<\/code> fonksiyonunu kullanabilirsiniz.  \u00d6rne\u011fin, her g\u00fcn\u00fcn ba\u015flang\u0131c\u0131ndaki sipari\u015fleri se\u00e7mek i\u00e7in:<\/p>\n<pre class=\"language-sql\"><code>SELECT *\nFROM orders\nWHERE DATE_TRUNC('day', order_date) = DATE_TRUNC('day', NOW());<\/code><\/pre>\n<p><strong><code class=\"language-\">AGE<\/code> Fonksiyonu:<\/strong> \u0130ki tarih aras\u0131ndaki zaman fark\u0131n\u0131 hesaplamak i\u00e7in <code class=\"language-\">AGE<\/code> fonksiyonunu kullanabilirsiniz.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>PostgreSQL&#8217;de zaman damgas\u0131 aral\u0131klar\u0131na g\u00f6re kay\u0131t se\u00e7mek, veritaban\u0131n\u0131zdan bilgi \u00e7\u0131karmak i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r.  Bu makalede, temel kavramlardan geli\u015fmi\u015f optimizasyon tekniklerine kadar \u00e7e\u015fitli y\u00f6ntemleri ele ald\u0131k.  Do\u011fru indeksleme, verimli fonksiyon kullan\u0131m\u0131 ve sorgu performans\u0131n\u0131 analiz etme, b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken kritik \u00f6neme sahiptir.  Unutmay\u0131n ki,  <code class=\"language-\">fatihsoysal.com<\/code> gibi kaynaklardan daha fazla bilgi ve \u00f6rnek bulabilirsiniz.  Veritaban\u0131n\u0131z\u0131n b\u00fcy\u00fckl\u00fc\u011f\u00fc ve karma\u015f\u0131kl\u0131\u011f\u0131 artt\u0131k\u00e7a, performans optimizasyonu i\u00e7in daha geli\u015fmi\u015f tekniklere ihtiya\u00e7 duyabilirsiniz.<\/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 dilimi bilgisi i\u00e7ermezken, <code class=\"language-\">timestamptz<\/code> UTC zaman dilimini kullan\u0131r.<br \/>\n2. <strong>Zaman damgas\u0131 sorgular\u0131n\u0131n performans\u0131n\u0131 nas\u0131l iyile\u015ftirebilirim?<\/strong> \u0130ndeksler kullan\u0131n, <code class=\"language-\">EXPLAIN<\/code> komutuyla sorgular\u0131 analiz edin ve gereksiz yere geni\u015f tarih aral\u0131klar\u0131 kullanmaktan ka\u00e7\u0131n\u0131n.<br \/>\n3. <strong><code class=\"language-\">BETWEEN<\/code> operat\u00f6r\u00fcn\u00fcn s\u0131n\u0131r de\u011ferlerini nas\u0131l kontrol ederim?<\/strong> <code class=\"language-\">BETWEEN<\/code> operat\u00f6r\u00fc s\u0131n\u0131r de\u011ferlerini de i\u00e7erir.  Sadece bir s\u0131n\u0131r de\u011feri dahil etmek istiyorsan\u0131z, <code class=\"language-\">>=<\/code> ve <code class=\"language-\"><<\/code> operat\u00f6rlerini kullan\u0131n.<br \/>\n4. <strong>B\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in hangi optimizasyon teknikleri \u00f6nerilir?<\/strong>  Fonksiyonel indeksler, partitasyonlama ve materyalize g\u00f6r\u00fcn\u00fcmler kullanabilirsiniz.<br \/>\n5. <strong>Zaman dilimi farklar\u0131ndan kaynaklanan hatalardan nas\u0131l ka\u00e7\u0131nabilirim?<\/strong>  <code class=\"language-\">timestamptz<\/code> veri tipini kullan\u0131n ve zaman dilimi ayarlar\u0131n\u0131z\u0131 do\u011frulay\u0131n.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL&#8217;de Zaman Damgas\u0131 Aral\u0131\u011f\u0131yla Kay\u0131t Se\u00e7imi PostgreSQL veritaban\u0131n\u0131zda belirli bir zaman aral\u0131\u011f\u0131 i\u00e7indeki kay\u0131tlar\u0131 se\u00e7mek mi istiyorsunuz?&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-26716","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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