{"id":25520,"date":"2025-07-07T18:15:24","date_gmt":"2025-07-07T15:15:24","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/"},"modified":"2025-07-07T18:15:24","modified_gmt":"2025-07-07T15:15:24","slug":"postgresql-group-by-sonrasi-sonuclari-filtreleme","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/","title":{"rendered":"PostgreSQL: GROUP BY Sonras\u0131 Sonu\u00e7lar\u0131 Filtreleme"},"content":{"rendered":"<p># PostgreSQL&#8217;de GROUP BY Sonras\u0131 Filtreleme Nas\u0131l Yap\u0131l\u0131r?<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda karma\u015f\u0131k sorgulamalar yaparken, <code class=\"language-\">GROUP BY<\/code> deyimiyle verileri grupland\u0131rd\u0131ktan sonra bu gruplar\u0131 filtrelemek isteyebilirsiniz.  \u00d6rne\u011fin, her m\u00fc\u015fterinin yapt\u0131\u011f\u0131 toplam al\u0131\u015fveri\u015f miktar\u0131n\u0131 hesaplad\u0131ktan sonra, sadece belirli bir tutardan fazla al\u0131\u015fveri\u015f yapan m\u00fc\u015fterileri g\u00f6rmek isteyebilirsiniz. Bu makalede, PostgreSQL&#8217;de <code class=\"language-\">GROUP BY<\/code> i\u015fleminden sonra verileri filtrelemenin farkl\u0131 yollar\u0131n\u0131, ger\u00e7ek d\u00fcnya \u00f6rnekleriyle ve ad\u0131m ad\u0131m k\u0131lavuzlarla inceleyece\u011fiz.  Farkl\u0131 seviyelerdeki kullan\u0131c\u0131lar i\u00e7in haz\u0131rlanm\u0131\u015f ad\u0131m ad\u0131m bir \u00f6\u011frenme yol haritas\u0131 sunaca\u011f\u0131z.  Veri analizi ve performans optimizasyonu konular\u0131na da de\u011finece\u011fiz.<\/p>\n<p><strong>Temel Kavramlar: GROUP BY ve HAVING<\/strong><\/p>\n<p><code class=\"language-\">GROUP BY<\/code> deyimi, verileri belirli s\u00fctunlara g\u00f6re grupland\u0131rmak i\u00e7in kullan\u0131l\u0131r.  Her grup i\u00e7in, <code class=\"language-\">SELECT<\/code> deyiminde belirtilen toplama fonksiyonlar\u0131 (\u00f6rne\u011fin, <code class=\"language-\">SUM<\/code>, <code class=\"language-\">AVG<\/code>, <code class=\"language-\">COUNT<\/code>, <code class=\"language-\">MAX<\/code>, <code class=\"language-\">MIN<\/code>) uygulan\u0131r.  Ancak, <code class=\"language-\">GROUP BY<\/code>&#8216;dan sonraki filtreleme i\u00e7in <code class=\"language-\">WHERE<\/code> deyimini kullanamay\u0131z. <code class=\"language-\">WHERE<\/code> deyimi, *grupland\u0131rma \u00f6ncesinde* sat\u0131rlar\u0131 filtreler.  <code class=\"language-\">GROUP BY<\/code>&#8216;dan sonraki filtreleme i\u00e7in ise <code class=\"language-\">HAVING<\/code> deyimini kullan\u0131r\u0131z.<\/p>\n<p><strong>1. Yeni Ba\u015flayanlar \u0130\u00e7in: Ad\u0131m Ad\u0131m A\u00e7\u0131klama ve Basit Kod \u00d6rne\u011fi<\/strong><\/p>\n<p>\u00d6rne\u011fin, bir e-ticaret sitesinin \u00fcr\u00fcn sat\u0131\u015flar\u0131n\u0131 i\u00e7eren bir tablo d\u00fc\u015f\u00fcnelim:<\/p>\n<p>| \u00dcr\u00fcnID | \u00dcr\u00fcnAd\u0131 | Fiyat | Sat\u0131\u015fAdedi |<br \/>\n|&#8212;|&#8212;|&#8212;|&#8212;|<br \/>\n| 1 | Kitap | 25 | 10 |<br \/>\n| 2 | Kalem | 5 | 20 |<br \/>\n| 1 | Kitap | 25 | 15 |<br \/>\n| 3 | Defter | 10 | 5 |<br \/>\n| 2 | Kalem | 5 | 12 |<\/p>\n<p>Her \u00fcr\u00fcn\u00fcn toplam sat\u0131\u015f gelirini hesaplamak ve toplam geliri 200 TL&#8217;den fazla olan \u00fcr\u00fcnleri filtrelemek isteyelim.<\/p>\n<p><strong>Ad\u0131m 1:<\/strong>  <code class=\"language-\">GROUP BY<\/code> ile \u00fcr\u00fcnlere g\u00f6re grupland\u0131rma:<\/p>\n<pre class=\"language-sql\"><code>SELECT \u00dcr\u00fcnID, \u00dcr\u00fcnAd\u0131, SUM(Fiyat * Sat\u0131\u015fAdedi) AS ToplamGelir\nFROM Satislar\nGROUP BY \u00dcr\u00fcnID, \u00dcr\u00fcnAd\u0131;<\/code><\/pre>\n<p>Bu sorgu, her \u00fcr\u00fcn i\u00e7in toplam geliri hesaplar.<\/p>\n<p><strong>Ad\u0131m 2:<\/strong> <code class=\"language-\">HAVING<\/code> ile filtreleme:<\/p>\n<pre class=\"language-sql\"><code>SELECT \u00dcr\u00fcnID, \u00dcr\u00fcnAd\u0131, SUM(Fiyat * Sat\u0131\u015fAdedi) AS ToplamGelir\nFROM Satislar\nGROUP BY \u00dcr\u00fcnID, \u00dcr\u00fcnAd\u0131\nHAVING SUM(Fiyat * Sat\u0131\u015fAdedi) &gt; 200;<\/code><\/pre>\n<p>Bu sorgu, toplam geliri 200 TL&#8217;den fazla olan \u00fcr\u00fcnleri filtreleyerek sadece bu \u00fcr\u00fcnlerin toplam gelirlerini g\u00f6sterir.<\/p>\n<p><strong>2. Orta Seviye: Ger\u00e7ek Hayat \u00d6rne\u011fi ve Optimizasyon \u0130pu\u00e7lar\u0131<\/strong><\/p>\n<p>Bir online oyun \u015firketinin kullan\u0131c\u0131 verilerini ele alal\u0131m.  Her kullan\u0131c\u0131n\u0131n oynad\u0131\u011f\u0131 oyun say\u0131s\u0131n\u0131 ve toplam oyun s\u00fcresini hesaplamak ve toplam oyun s\u00fcresi 100 saatten fazla olan kullan\u0131c\u0131lar\u0131 bulmak istiyoruz.<\/p>\n<pre class=\"language-sql\"><code>SELECT KullaniciID, COUNT(OyunID) AS OynananOyunSayisi, SUM(OyunSuresi) AS ToplamOyunSuresi\nFROM OyunOyuncular\nGROUP BY KullaniciID\nHAVING SUM(OyunSuresi) &gt; 100;<\/code><\/pre>\n<p><strong>Optimizasyon \u0130pu\u00e7lar\u0131:<\/strong><\/p>\n<p>* <strong>\u0130ndeksler:<\/strong> <code class=\"language-\">OyunSuresi<\/code> ve <code class=\"language-\">KullaniciID<\/code> s\u00fctunlar\u0131na indeks eklemek sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.  <code class=\"language-\">fatihsoysal.com<\/code> sitesindeki PostgreSQL optimizasyon makalelerine g\u00f6z atabilirsiniz.<br \/>\n* <strong>WHERE kullan\u0131m\u0131:<\/strong>  E\u011fer <code class=\"language-\">GROUP BY<\/code> \u00f6ncesinde filtreleme yapabiliyorsan\u0131z (<code class=\"language-\">WHERE<\/code> ile), bunu yaparak <code class=\"language-\">GROUP BY<\/code> i\u015flemine gelen veri miktar\u0131n\u0131 azalt\u0131n ve performans\u0131 art\u0131r\u0131n. \u00d6rne\u011fin, sadece belirli bir tarih aral\u0131\u011f\u0131ndaki oyunlar\u0131 filtrelemek istiyorsan\u0131z, <code class=\"language-\">WHERE<\/code> deyimini kullanabilirsiniz.<\/p>\n<p><strong>3. \u0130leri Seviye: Performans Analizi ve Edge Case&#8217;ler<\/strong><\/p>\n<p>\u00c7ok b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken, <code class=\"language-\">GROUP BY<\/code> ve <code class=\"language-\">HAVING<\/code> kombinasyonunun performans\u0131 d\u00fc\u015febilir.  Bu durumda, a\u015fa\u011f\u0131daki teknikleri kullanabilirsiniz:<\/p>\n<p>* <strong>CTE (Common Table Expression):<\/strong>  Karma\u015f\u0131k sorgular\u0131 daha okunakl\u0131 ve optimize edilebilir hale getirir.<br \/>\n* <strong>Window Fonksiyonlar\u0131:<\/strong>  <code class=\"language-\">GROUP BY<\/code>&#8216;a alternatif olarak, \u00f6zellikle karma\u015f\u0131k hesaplamalar gerekti\u011finde kullan\u0131labilir.<br \/>\n* <strong>Materyalize G\u00f6r\u00fcn\u00fcmler:<\/strong>  S\u0131k kullan\u0131lan sorgular\u0131n sonu\u00e7lar\u0131n\u0131 \u00f6nbelle\u011fe alarak performans\u0131 art\u0131r\u0131r.<\/p>\n<p><strong>Edge Case&#8217;ler:<\/strong><\/p>\n<p>* <strong>NULL de\u011ferler:<\/strong> <code class=\"language-\">SUM<\/code>, <code class=\"language-\">AVG<\/code> gibi toplama fonksiyonlar\u0131 <code class=\"language-\">NULL<\/code> de\u011ferleri dikkate almaz.  <code class=\"language-\">COALESCE<\/code> fonksiyonu ile <code class=\"language-\">NULL<\/code> de\u011ferlerini 0 veya ba\u015fka bir de\u011ferle de\u011fi\u015ftirebilirsiniz.<br \/>\n* <strong>\u00c7oklu grupland\u0131rma:<\/strong> Birden fazla s\u00fctuna g\u00f6re grupland\u0131rma yaparken, <code class=\"language-\">HAVING<\/code> deyimi ile filtreleme yaparken dikkatli olun. Filtreleme ko\u015fulunun her grup i\u00e7in do\u011fru \u015fekilde uyguland\u0131\u011f\u0131ndan emin olun.<\/p>\n<p><strong>4.  PostgreSQL&#8217;de HAVING Kullan\u0131m\u0131n\u0131n Ayr\u0131nt\u0131l\u0131 Analizi<\/strong><\/p>\n<p><code class=\"language-\">HAVING<\/code> deyimi, <code class=\"language-\">GROUP BY<\/code> deyimiyle olu\u015fturulan gruplar\u0131 filtrelemek i\u00e7in kullan\u0131l\u0131r.  <code class=\"language-\">WHERE<\/code> deyiminden farkl\u0131 olarak, <code class=\"language-\">HAVING<\/code> deyimi gruplama *sonras\u0131nda* uygulan\u0131r ve toplama fonksiyonlar\u0131n\u0131 i\u00e7eren ko\u015fullar kullan\u0131lmas\u0131na izin verir.  Bu, her grubun \u00f6zelliklerine dayal\u0131 filtreleme yapmam\u0131z\u0131 sa\u011flar.  \u00d6rne\u011fin, sadece ortalama sat\u0131\u015f fiyat\u0131 50 TL&#8217;den fazla olan \u00fcr\u00fcn gruplar\u0131n\u0131 g\u00f6r\u00fcnt\u00fclemek i\u00e7in <code class=\"language-\">HAVING AVG(Fiyat) > 50<\/code> ko\u015fulunu kullanabiliriz.<\/p>\n<p><strong>5.  Ger\u00e7ek D\u00fcnya Senaryolar\u0131nda HAVING Kullan\u0131m\u0131: Vaka Analizleri<\/strong><\/p>\n<p><strong>Vaka 1: E-ticaret Sipari\u015f Analizi:<\/strong> Bir e-ticaret \u015firketinin g\u00fcnl\u00fck sipari\u015f verilerini ele alal\u0131m.  Her g\u00fcn\u00fcn toplam sipari\u015f say\u0131s\u0131n\u0131 ve toplam sipari\u015f de\u011ferini hesaplamak ve toplam sipari\u015f de\u011feri 10.000 TL&#8217;den fazla olan g\u00fcnleri bulmak istiyoruz.  Bu durumda, <code class=\"language-\">GROUP BY<\/code> g\u00fcn tarihine g\u00f6re yap\u0131l\u0131r ve <code class=\"language-\">HAVING<\/code> ile toplam sipari\u015f de\u011feri filtrelenir.<\/p>\n<p><strong>Vaka 2: Sosyal Medya Etkile\u015fim Analizi:<\/strong> Bir sosyal medya platformunda her kullan\u0131c\u0131n\u0131n g\u00f6nderi say\u0131s\u0131n\u0131 ve toplam be\u011feni say\u0131s\u0131n\u0131 hesaplamak ve toplam be\u011feni say\u0131s\u0131 1000&#8217;den fazla olan kullan\u0131c\u0131lar\u0131 bulmak istiyoruz.  <code class=\"language-\">GROUP BY<\/code> kullan\u0131c\u0131 kimli\u011fine g\u00f6re yap\u0131l\u0131r ve <code class=\"language-\">HAVING<\/code> ile toplam be\u011feni say\u0131s\u0131 filtrelenir.<\/p>\n<p><strong>Vaka 3: Web Sitesi Ziyaret\u00e7i Analizi:<\/strong> Bir web sitesinin g\u00fcnl\u00fck ziyaret\u00e7i say\u0131s\u0131n\u0131 ve ortalama ziyaret s\u00fcresini hesaplamak ve ortalama ziyaret s\u00fcresi 5 dakikadan fazla olan g\u00fcnleri bulmak istiyoruz.  <code class=\"language-\">GROUP BY<\/code> g\u00fcn tarihine g\u00f6re yap\u0131l\u0131r ve <code class=\"language-\">HAVING<\/code> ile ortalama ziyaret s\u00fcresi filtrelenir.<\/p>\n<p><strong>6.  Performans Optimizasyonu i\u00e7in \u0130pu\u00e7lar\u0131 ve Stratejiler<\/strong><\/p>\n<p><code class=\"language-\">GROUP BY<\/code> ve <code class=\"language-\">HAVING<\/code> ile b\u00fcy\u00fck veri k\u00fcmelerinde \u00e7al\u0131\u015f\u0131rken performans sorunlar\u0131yla kar\u015f\u0131la\u015fabilirsiniz.  Bunun \u00f6n\u00fcne ge\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki optimizasyon ipu\u00e7lar\u0131n\u0131 kullanabilirsiniz:<\/p>\n<p>* <strong>\u0130ndeksler:<\/strong> <code class=\"language-\">GROUP BY<\/code> ve <code class=\"language-\">HAVING<\/code> deyimlerinde kullan\u0131lan s\u00fctunlara uygun indeksler olu\u015fturmak, sorgu performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.<br \/>\n* <strong>WHERE kullan\u0131m\u0131:<\/strong>  M\u00fcmk\u00fcnse, <code class=\"language-\">WHERE<\/code> deyimini kullanarak <code class=\"language-\">GROUP BY<\/code> i\u015flemine gelen veri miktar\u0131n\u0131 azalt\u0131n.<br \/>\n* <strong>Fonksiyonel \u0130ndeksler:<\/strong>  Toplama fonksiyonlar\u0131n\u0131n sonu\u00e7lar\u0131na indeks olu\u015fturmak da performans\u0131 iyile\u015ftirebilir.<br \/>\n* <strong>Par\u00e7alama (Partitioning):<\/strong>  B\u00fcy\u00fck tablolar\u0131 mant\u0131ksal par\u00e7alara b\u00f6lerek sorgu performans\u0131n\u0131 art\u0131rabilirsiniz.<\/p>\n<p><strong>7.  S\u0131k\u00e7a Sorulan Sorular (SSS)<\/strong><\/p>\n<p>* <strong><code class=\"language-\">WHERE<\/code> ve <code class=\"language-\">HAVING<\/code> aras\u0131ndaki fark nedir?<\/strong> <code class=\"language-\">WHERE<\/code> grupland\u0131rma *\u00f6ncesinde* sat\u0131rlar\u0131 filtrelerken, <code class=\"language-\">HAVING<\/code> grupland\u0131rma *sonras\u0131nda* gruplar\u0131 filtreler.<br \/>\n* <strong><code class=\"language-\">HAVING<\/code> deyimi olmadan <code class=\"language-\">GROUP BY<\/code> kullanabilir miyim?<\/strong> Evet, <code class=\"language-\">HAVING<\/code> deyimi iste\u011fe ba\u011fl\u0131d\u0131r.<br \/>\n* <strong><code class=\"language-\">HAVING<\/code> deyiminde hangi fonksiyonlar\u0131 kullanabilirim?<\/strong> <code class=\"language-\">SUM<\/code>, <code class=\"language-\">AVG<\/code>, <code class=\"language-\">COUNT<\/code>, <code class=\"language-\">MAX<\/code>, <code class=\"language-\">MIN<\/code> gibi toplama fonksiyonlar\u0131n\u0131 ve di\u011fer bir\u00e7ok fonksiyonu kullanabilirsiniz.<br \/>\n* <strong><code class=\"language-\">GROUP BY<\/code> ve <code class=\"language-\">HAVING<\/code> deyimlerini birlikte nas\u0131l optimize edebilirim?<\/strong>  \u0130ndeksler olu\u015fturmak, <code class=\"language-\">WHERE<\/code> deyimini kullanarak \u00f6n filtreleme yapmak ve gerekti\u011finde materyalize g\u00f6r\u00fcn\u00fcmler kullanmak performans\u0131 art\u0131r\u0131r.<br \/>\n* <strong>\u00c7ok b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in alternatif \u00e7\u00f6z\u00fcmler nelerdir?<\/strong>  B\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in da\u011f\u0131t\u0131k veritabanlar\u0131 veya analitik platformlar kullanmay\u0131 d\u00fc\u015f\u00fcnebilirsiniz.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>PostgreSQL&#8217;de <code class=\"language-\">GROUP BY<\/code> i\u015fleminden sonra filtreleme yapmak i\u00e7in <code class=\"language-\">HAVING<\/code> deyimini kullanmak olduk\u00e7a \u00f6nemlidir. Bu makalede, farkl\u0131 seviyelerdeki kullan\u0131c\u0131lar i\u00e7in ad\u0131m ad\u0131m bir k\u0131lavuz sunarak, ger\u00e7ek d\u00fcnya \u00f6rnekleriyle ve performans optimizasyon ipu\u00e7lar\u0131yla konuyu detayl\u0131 bir \u015fekilde ele ald\u0131k.  Unutmay\u0131n, veritaban\u0131 performans\u0131, verimli sorgu yaz\u0131m\u0131 ve do\u011fru indeksleme stratejileriyle do\u011frudan ilgilidir.  Daha fazla bilgi ve ileri seviye PostgreSQL teknikleri i\u00e7in  [fatihsoysal.com](https:\/\/fatihsoysal.com) adresini ziyaret edebilirsiniz.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL&#8217;de GROUP BY Sonras\u0131 Filtreleme Nas\u0131l Yap\u0131l\u0131r? PostgreSQL veritaban\u0131n\u0131zda karma\u015f\u0131k sorgulamalar yaparken, GROUP BY deyimiyle verileri grupland\u0131rd\u0131ktan&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-25520","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: GROUP BY Sonras\u0131 Sonu\u00e7lar\u0131 Filtreleme<\/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-group-by-sonrasi-sonuclari-filtreleme\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PostgreSQL: GROUP BY Sonras\u0131 Sonu\u00e7lar\u0131 Filtreleme\" \/>\n<meta property=\"og:description\" content=\"Hi\u00e7bir etiketi bulunamad\u0131.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-07T15:15:24+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=\"6 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"PostgreSQL: GROUP BY Sonras\u0131 Sonu\u00e7lar\u0131 Filtreleme\",\"datePublished\":\"2025-07-07T15:15:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/\"},\"wordCount\":1095,\"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-group-by-sonrasi-sonuclari-filtreleme\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/\",\"name\":\"PostgreSQL: GROUP BY Sonras\u0131 Sonu\u00e7lar\u0131 Filtreleme\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-07-07T15:15:24+00:00\",\"description\":\"Hi\u00e7bir etiketi bulunamad\u0131.\",\"breadcrumb\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/postgresql-group-by-sonrasi-sonuclari-filtreleme\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\/\/fatihsoysal.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"PostgreSQL: GROUP BY Sonras\u0131 Sonu\u00e7lar\u0131 Filtreleme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/\",\"name\":\"Fatihsoysal.com\",\"description\":\"Blog - 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