{"id":25883,"date":"2025-07-15T06:20:22","date_gmt":"2025-07-15T03:20:22","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/postgresql-how-to-calculate-sum-of-array-column-ceviri\/"},"modified":"2025-07-15T06:20:22","modified_gmt":"2025-07-15T03:20:22","slug":"postgresql-how-to-calculate-sum-of-array-column-ceviri","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/postgresql-how-to-calculate-sum-of-array-column-ceviri\/","title":{"rendered":"PostgreSQL: How to Calculate Sum of Array Column (\u00c7eviri)"},"content":{"rendered":"<p># PostgreSQL&#8217;de Dizi S\u00fctun Toplamlar\u0131n\u0131 Hesaplama: Ad\u0131m Ad\u0131m K\u0131lavuz<\/p>\n<p>PostgreSQL veritaban\u0131n\u0131zda bir dizi s\u00fctununuz var ve bu dizilerdeki de\u011ferlerin toplam\u0131n\u0131 hesaplaman\u0131z gerekiyor mu?  Bu makale, PostgreSQL&#8217;de dizi s\u00fctunlar\u0131n\u0131n toplam\u0131n\u0131 hesaplaman\u0131n farkl\u0131 y\u00f6ntemlerini, performans optimizasyonlar\u0131n\u0131 ve olas\u0131 sorunlar\u0131 ad\u0131m ad\u0131m a\u00e7\u0131klayacakt\u0131r.  Yeni ba\u015flayanlardan ileri d\u00fczey kullan\u0131c\u0131lara kadar herkesin anlayabilece\u011fi \u015fekilde haz\u0131rlanm\u0131\u015ft\u0131r.<\/p>\n<p><strong>\u00d6\u011frenme Yol Haritas\u0131:<\/strong><\/p>\n<p>* <strong>Yeni Ba\u015flayan:<\/strong>  Temel SQL fonksiyonlar\u0131 ile dizi toplam\u0131 hesaplama.<br \/>\n* <strong>Orta Seviye:<\/strong>  Ger\u00e7ek d\u00fcnya senaryolar\u0131 ve optimizasyon teknikleri.<br \/>\n* <strong>\u0130leri Seviye:<\/strong>  Performans analizi, karma\u015f\u0131k senaryolar ve olas\u0131 sorunlar.<\/p>\n<p><strong>PostgreSQL Dizi S\u00fctunlar\u0131: Temel Kavramlar<\/strong><\/p>\n<p>PostgreSQL, veritaban\u0131 tablolar\u0131nda dizi t\u00fcrlerini destekler.  \u00d6rne\u011fin, bir \u00fcr\u00fcn\u00fcn g\u00fcnl\u00fck sat\u0131\u015flar\u0131n\u0131 kaydeden bir tabloda, g\u00fcnl\u00fck sat\u0131\u015flar bir dizi olarak saklanabilir: <code class=\"language-\">{10, 15, 20, 12, 8}<\/code>.  Bu dizi, her eleman\u0131 bir g\u00fcnl\u00fck sat\u0131\u015f miktar\u0131n\u0131 temsil eder.  Bu t\u00fcr verileri y\u00f6netmek ve analiz etmek i\u00e7in \u00f6zel fonksiyonlara ihtiya\u00e7 duyulur.  Diziler, farkl\u0131 veri tiplerini (integer, float, text vb.) i\u00e7erebilir.  Ancak, toplama i\u015flemi i\u00e7in say\u0131sal t\u00fcrler gereklidir.<\/p>\n<p><strong>PostgreSQL&#8217;de Dizi S\u00fctun Toplam\u0131n\u0131 Hesaplama: Yeni Ba\u015flayanlar \u0130\u00e7in<\/strong><\/p>\n<p>En basit y\u00f6ntem, <code class=\"language-\">unnest()<\/code> fonksiyonunu kullanarak dizi elemanlar\u0131n\u0131 ayr\u0131 sat\u0131rlara ay\u0131rmak ve ard\u0131ndan <code class=\"language-\">sum()<\/code> fonksiyonuyla toplam\u0131 hesaplamakt\u0131r.<\/p>\n<p><strong>\u00d6rnek Senaryo:<\/strong>  Bir online ma\u011fazan\u0131n g\u00fcnl\u00fck sat\u0131\u015flar\u0131n\u0131 kaydeden bir <code class=\"language-\">sales<\/code> tablosu oldu\u011funu d\u00fc\u015f\u00fcnelim.<\/p>\n<pre class=\"language-sql\"><code>CREATE TABLE sales (\n    product_id INT,\n    daily_sales INTEGER[]\n);\n\nINSERT INTO sales (product_id, daily_sales) VALUES\n(1, '{10, 15, 20, 12, 8}'),\n(2, '{5, 8, 12, 15, 20}');<\/code><\/pre>\n<p><strong>Kod:<\/strong><\/p>\n<pre class=\"language-sql\"><code>SELECT\n    product_id,\n    SUM(sales) AS total_sales\nFROM\n    sales, unnest(daily_sales) AS sales\nGROUP BY\n    product_id;<\/code><\/pre>\n<p>Bu sorgu, \u00f6nce <code class=\"language-\">unnest()<\/code> fonksiyonu ile her <code class=\"language-\">daily_sales<\/code> dizisini ayr\u0131 sat\u0131rlara ay\u0131r\u0131r.  Sonras\u0131nda <code class=\"language-\">SUM()<\/code> fonksiyonu ile her <code class=\"language-\">product_id<\/code> i\u00e7in toplam sat\u0131\u015f miktar\u0131n\u0131 hesaplar.  <code class=\"language-\">GROUP BY<\/code> ise sonu\u00e7lar\u0131 \u00fcr\u00fcn ID&#8217;lerine g\u00f6re gruplar.  Bu y\u00f6ntem, k\u00fc\u00e7\u00fck tablolar i\u00e7in olduk\u00e7a verimlidir.<\/p>\n<p><strong>Nas\u0131l Daha Karma\u015f\u0131k Dizi Toplamalar\u0131 Hesaplan\u0131r? (Orta Seviye)<\/strong><\/p>\n<p>Ger\u00e7ek d\u00fcnya senaryolar\u0131nda, daha karma\u015f\u0131k toplama i\u015flemlerine ihtiya\u00e7 duyabilirsiniz. \u00d6rne\u011fin, farkl\u0131 \u00fcr\u00fcnlerin sat\u0131\u015flar\u0131n\u0131 farkl\u0131 d\u00f6nemler i\u00e7in toplamak isteyebilirsiniz.  A\u015fa\u011f\u0131daki \u00f6rnekte, her \u00fcr\u00fcn i\u00e7in haftal\u0131k toplam sat\u0131\u015flar\u0131 hesaplayaca\u011f\u0131z.<\/p>\n<p><strong>\u00d6rnek Senaryo:<\/strong>  <code class=\"language-\">sales<\/code> tablosuna bir tarih s\u00fctunu ekleyelim.<\/p>\n<pre class=\"language-sql\"><code>ALTER TABLE sales ADD COLUMN sales_date DATE;\n\nINSERT INTO sales (product_id, daily_sales, sales_date) VALUES\n(1, '{10, 15, 20, 12, 8}', '2024-03-04'),\n(2, '{5, 8, 12, 15, 20}', '2024-03-04'),\n(1, '{12, 18, 25, 10, 9}', '2024-03-11');<\/code><\/pre>\n<p><strong>Kod:<\/strong><\/p>\n<pre class=\"language-sql\"><code>SELECT\n    sales_date,\n    product_id,\n    SUM(sales) AS weekly_total\nFROM\n    sales, unnest(daily_sales) AS sales\nGROUP BY\n    sales_date, product_id\nORDER BY\n    sales_date, product_id;<\/code><\/pre>\n<p>Bu sorgu, \u00f6nce her \u00fcr\u00fcn\u00fcn g\u00fcnl\u00fck sat\u0131\u015flar\u0131n\u0131 ay\u0131r\u0131r, daha sonra <code class=\"language-\">sales_date<\/code> ve <code class=\"language-\">product_id<\/code>&#8216;ye g\u00f6re gruplayarak haftal\u0131k toplamlar\u0131 hesaplar.<\/p>\n<p><strong>Performans Optimizasyonu: B\u00fcy\u00fck Veri Setleri \u0130\u00e7in Stratejiler<\/strong><\/p>\n<p>B\u00fcy\u00fck veri setlerinde <code class=\"language-\">unnest()<\/code> fonksiyonu performans sorunlar\u0131na yol a\u00e7abilir.  Bu durumda,  PostgreSQL&#8217;in sundu\u011fu di\u011fer fonksiyonlar\u0131 kullanarak optimizasyon sa\u011flayabiliriz.  \u00d6rne\u011fin, <code class=\"language-\">array_agg()<\/code> fonksiyonu ile \u00f6nce dizileri birle\u015ftirip daha sonra <code class=\"language-\">sum()<\/code> fonksiyonu ile toplam\u0131 hesaplayabiliriz. Ancak bu y\u00f6ntem her zaman daha h\u0131zl\u0131 olmayabilir ve veri setinin yap\u0131s\u0131na ba\u011fl\u0131d\u0131r.  Performans testleri yaparak en uygun y\u00f6ntemi belirlemek \u00f6nemlidir.<\/p>\n<p><strong>\u00d6rnek:<\/strong> A\u015fa\u011f\u0131daki sorgu,  <code class=\"language-\">array_agg()<\/code> fonksiyonu kullanarak ayn\u0131 sonucu elde eder, ancak performans farkl\u0131l\u0131k g\u00f6sterebilir.<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    product_id,\n    SUM(unnest(array_agg(daily_sales))) AS total_sales\nFROM sales\nGROUP BY\n    product_id;<\/code><\/pre>\n<p>Bu sorgu, \u00f6nce her <code class=\"language-\">product_id<\/code> i\u00e7in <code class=\"language-\">daily_sales<\/code> dizilerini tek bir diziye birle\u015ftirir (<code class=\"language-\">array_agg<\/code>), daha sonra bu dizinin elemanlar\u0131n\u0131 <code class=\"language-\">unnest<\/code> ile a\u00e7ar ve <code class=\"language-\">sum<\/code> ile toplar.  Bu y\u00f6ntem, baz\u0131 durumlarda <code class=\"language-\">unnest<\/code>&#8216;i do\u011frudan kullanmaktan daha verimli olabilir, ancak b\u00fcy\u00fck veri setlerinde yine de performans problemleri ya\u015fanabilir.  \u0130ndeks kullan\u0131m\u0131 ve sorgu plan\u0131 analizinin \u00f6nemi bu noktada daha da artar.<\/p>\n<p><strong>PostgreSQL Dizi Toplamlar\u0131nda \u0130leri D\u00fczey Teknikler ve Edge Case&#8217;ler (\u0130leri Seviye)<\/strong><\/p>\n<p>Baz\u0131 durumlarda, dizi elemanlar\u0131 eksik veya NULL olabilir. Bu durumda, <code class=\"language-\">coalesce()<\/code> fonksiyonu ile NULL de\u011ferleri 0 olarak de\u011fi\u015ftirerek do\u011fru toplam\u0131 elde edebilirsiniz.<\/p>\n<pre class=\"language-sql\"><code>SELECT\n    product_id,\n    SUM(coalesce(unnest(daily_sales), 0)) AS total_sales\nFROM\n    sales\nGROUP BY\n    product_id;<\/code><\/pre>\n<p>Ayr\u0131ca, \u00e7ok b\u00fcy\u00fck dizilerle \u00e7al\u0131\u015f\u0131rken, performans\u0131 daha da iyile\u015ftirmek i\u00e7in paralel sorgular veya materyalize g\u00f6r\u00fcn\u00fcmler kullanabilirsiniz.  Bu konular, veritaban\u0131 y\u00f6netimi ve performans optimizasyonu konusunda daha derinlemesine bilgi gerektirir.  PostgreSQL&#8217;in sorgu planlay\u0131c\u0131s\u0131 ve performans analiz ara\u00e7lar\u0131n\u0131 kullanarak en uygun stratejiyi belirlemek \u00f6nemlidir.  <code class=\"language-\">EXPLAIN ANALYZE<\/code> komutu ile sorgu plan\u0131n\u0131 inceleyerek hangi par\u00e7alar\u0131n performans\u0131 etkiledi\u011fini tespit edebilirsiniz.<\/p>\n<p><strong>Ger\u00e7ek D\u00fcnya \u00d6rnekleri ve Vaka \u00c7al\u0131\u015fmalar\u0131<\/strong><\/p>\n<p>* <strong>E-ticaret:<\/strong>  Bir e-ticaret sitesindeki g\u00fcnl\u00fck sipari\u015f say\u0131lar\u0131n\u0131 kaydeden bir tabloda, her kullan\u0131c\u0131n\u0131n haftal\u0131k sipari\u015f toplam\u0131n\u0131 hesaplamak i\u00e7in dizi toplam\u0131 kullan\u0131labilir.<br \/>\n* <strong>IoT:<\/strong>  Bir\u00e7ok sens\u00f6rden gelen verileri kaydeden bir sistemde, her sens\u00f6r\u00fcn g\u00fcnl\u00fck toplam verisini hesaplamak i\u00e7in dizi toplamalar\u0131 kullan\u0131labilir.<br \/>\n* <strong>Finans:<\/strong>  Bir finans kurulu\u015funda, her m\u00fc\u015fterinin g\u00fcnl\u00fck i\u015flem miktarlar\u0131n\u0131 kaydeden bir tabloda, ayl\u0131k toplam i\u015flem miktar\u0131n\u0131 hesaplamak i\u00e7in dizi toplamalar\u0131 kullan\u0131labilir.<\/p>\n<p>Bu \u00f6rneklerde, verinin b\u00fcy\u00fckl\u00fc\u011f\u00fc ve karma\u015f\u0131kl\u0131\u011f\u0131 performans optimizasyonunun \u00f6nemini vurgular.  Veri b\u00fcy\u00fckl\u00fc\u011f\u00fcne ba\u011fl\u0131 olarak, farkl\u0131 stratejiler (paralel sorgu, indeksleme, materyalize g\u00f6r\u00fcn\u00fcmler) performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilir.<\/p>\n<p><strong>Sonu\u00e7<\/strong><\/p>\n<p>PostgreSQL&#8217;de dizi s\u00fctunlar\u0131n\u0131n toplam\u0131n\u0131 hesaplamak i\u00e7in \u00e7e\u015fitli y\u00f6ntemler mevcuttur.  Se\u00e7ilecek y\u00f6ntem, veri setinin b\u00fcy\u00fckl\u00fc\u011f\u00fc ve karma\u015f\u0131kl\u0131\u011f\u0131na ba\u011fl\u0131d\u0131r.  <code class=\"language-\">unnest()<\/code> fonksiyonu basit durumlar i\u00e7in yeterli olsa da, b\u00fcy\u00fck veri setlerinde performans sorunlar\u0131na yol a\u00e7abilir.  Bu durumlarda, <code class=\"language-\">array_agg()<\/code> fonksiyonu veya di\u011fer optimizasyon teknikleri kullan\u0131labilir.  Performans analizi ve sorgu planlamas\u0131, optimum performans i\u00e7in kritik \u00f6neme sahiptir.  [fatihsoysal.com](https:\/\/fatihsoysal.com) adresinden daha fazla PostgreSQL optimizasyon ipucu ve teknikleri bulabilirsiniz.<\/p>\n<p><strong>S\u0131k\u00e7a Sorulan Sorular:<\/strong><\/p>\n<p>1. <strong>Dizi elemanlar\u0131 NULL ise ne olur?<\/strong>  <code class=\"language-\">coalesce()<\/code> fonksiyonu ile NULL de\u011ferleri 0 olarak de\u011fi\u015ftirilebilir.<br \/>\n2. <strong>B\u00fcy\u00fck veri setlerinde performans\u0131 nas\u0131l iyile\u015ftirebilirim?<\/strong>  Paralel sorgular, indeksler, materyalize g\u00f6r\u00fcn\u00fcmler ve sorgu planlamas\u0131 performans\u0131 iyile\u015ftirmeye yard\u0131mc\u0131 olabilir.<br \/>\n3. <strong>Farkl\u0131 veri tiplerini i\u00e7eren dizilerin toplam\u0131n\u0131 nas\u0131l hesaplar\u0131m?<\/strong>  \u00d6nce veri tiplerini d\u00f6n\u00fc\u015ft\u00fcrmeniz gerekir (\u00f6rne\u011fin, <code class=\"language-\">::numeric<\/code>).<br \/>\n4. <strong>Dizi elemanlar\u0131n\u0131n say\u0131s\u0131n\u0131 nas\u0131l sayabilirim?<\/strong>  <code class=\"language-\">array_length()<\/code> fonksiyonunu kullanabilirsiniz.<br \/>\n5. <strong>Dizi i\u00e7indeki belirli bir eleman\u0131n toplam\u0131n\u0131 nas\u0131l hesaplar\u0131m?<\/strong>  <code class=\"language-\">unnest()<\/code> ve <code class=\"language-\">WHERE<\/code> ko\u015fulu kullanarak bunu yapabilirsiniz.<\/p>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"# PostgreSQL&#8217;de Dizi S\u00fctun Toplamlar\u0131n\u0131 Hesaplama: Ad\u0131m Ad\u0131m K\u0131lavuz PostgreSQL veritaban\u0131n\u0131zda bir dizi s\u00fctununuz var ve bu dizilerdeki&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-25883","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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