MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama<\/title><\/p>\n<style>\n body {\n font-family: sans-serif;\n line-height: 1.6;\n margin: 20px;\n }\n h1 {\n font-size: 2em;\n }\n h2 {\n font-size: 1.5em;\n margin-top: 1.5em;\n }\n h3 {\n font-size: 1.2em;\n margin-top: 1em;\n }\n table {\n width: 100%;\n border-collapse: collapse;\n margin-top: 1em;\n }\n th, td {\n border: 1px solid #ddd;\n padding: 8px;\n text-align: left;\n }\n code {\n background-color: #f0f0f0;\n padding: 2px 4px;\n border-radius: 4px;\n }\n .warning {\n background-color: #ffdddd;\n border: 1px solid #ffaaaa;\n padding: 10px;\n margin-bottom: 10px;\n }\n @media (max-width: 768px) {\n body {\n font-size: 14px;\n }\n }\n<\/style>\n<p><\/head><br \/>\n<body><\/p>\n<p>MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama<\/p>\n<p>Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. MongoDB, esnekli\u011fi ve \u00f6l\u00e7eklenebilirli\u011fi ile pop\u00fcler bir NoSQL veritaban\u0131 olmas\u0131na ra\u011fmen, performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in alt yap\u0131s\u0131n\u0131 anlamak gereklidir. Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.<\/p>\n<h2>MongoDB ve WiredTiger: Temel Kavramlar<\/h2>\n<p>\u00d6ncelikle, MongoDB ve WiredTiger'\u0131n ne oldu\u011funu ve neden birlikte \u00e7al\u0131\u015ft\u0131klar\u0131n\u0131 anlamak \u00f6nemlidir. MongoDB, belge tabanl\u0131 bir NoSQL veritaban\u0131d\u0131r. Verileri JSON benzeri belgelere depolar ve bu belgelere h\u0131zl\u0131 eri\u015fim sa\u011flar. WiredTiger ise MongoDB'nin varsay\u0131lan depolama motorudur (3.2 s\u00fcr\u00fcm\u00fcnden itibaren). Btree, LSM-tree gibi farkl\u0131 indeksleme tekniklerini kullanarak verilerin diskte etkili bir \u015fekilde y\u00f6netilmesini sa\u011flar. WiredTiger, performans ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fc sa\u011flamak i\u00e7in \u00e7e\u015fitli optimizasyonlar sunar. Bu optimizasyonlar, verilerin nas\u0131l organize edildi\u011fi ve eri\u015fildi\u011fi ile yak\u0131ndan ilgilidir.<\/p>\n<p>WiredTiger, bellek i\u00e7i (in-memory) ve disk \u00fczerindeki verileri y\u00f6netir. Bellekteki veriler, s\u0131k eri\u015filen belgelere h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in kullan\u0131l\u0131r. Disk \u00fczerindeki veriler ise kal\u0131c\u0131l\u0131\u011f\u0131 sa\u011flar. WiredTiger, verilerin tutarl\u0131l\u0131\u011f\u0131n\u0131 ve performans\u0131n\u0131 optimize etmek i\u00e7in \u00e7e\u015fitli \u00f6nbellek y\u00f6netim mekanizmalar\u0131 kullan\u0131r. Bu mekanizmalar, okuma ve yazma i\u015flemlerini h\u0131zland\u0131r\u0131r ve verilerin g\u00fcvenli bir \u015fekilde saklanmas\u0131n\u0131 garanti eder. Ayr\u0131ca, i\u015flem g\u00fcnl\u00fc\u011f\u00fc (log) mekanizmas\u0131 sayesinde, beklenmedik kapanmalar durumunda veri kayb\u0131n\u0131 \u00f6nler. Bu mekanizmalar, MongoDB'nin y\u00fcksek performans ve y\u00fcksek kullan\u0131labilirlik hedeflerine ula\u015fmas\u0131n\u0131 sa\u011flar.<\/p>\n<h2>Koleksiyonlar WiredTiger'da Nas\u0131l Depolan\u0131r?<\/h2>\n<p>MongoDB'deki koleksiyonlar, asl\u0131nda WiredTiger taraf\u0131ndan y\u00f6netilen dosyalard\u0131r. Bu dosyalar, belgelere eri\u015fimi h\u0131zland\u0131rmak i\u00e7in optimize edilmi\u015ftir. WiredTiger, belgelere h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in B+ a\u011fa\u00e7 yap\u0131lar\u0131n\u0131 kullan\u0131r. Her koleksiyon, bu a\u011fa\u00e7 yap\u0131s\u0131n\u0131n bir \u00f6rne\u011fi olarak d\u00fc\u015f\u00fcn\u00fclebilir. Bu a\u011fa\u00e7, belgelere anahtar (key) de\u011ferlerine g\u00f6re eri\u015fim sa\u011flar. Bu anahtarlar, varsay\u0131lan olarak <code>_id<\/code> alan\u0131d\u0131r, ancak \u00f6zel indeksler olu\u015fturarak farkl\u0131 alanlar da anahtar olarak kullan\u0131labilir. Her bir d\u00fc\u011f\u00fcm (node) B+ a\u011fac\u0131nda, belirli bir say\u0131da belge referans\u0131 tutar. A\u011fa\u00e7 yap\u0131s\u0131, belgelere verimli bir \u015fekilde eri\u015fim sa\u011flar. Koleksiyonlar fiziksel olarak, dosya sisteminde belirli bir dizine ayr\u0131lan ayr\u0131 dosyalar veya dosya gruplar\u0131 olarak bulunur. Bu dizinler ve dosya yap\u0131s\u0131, MongoDB ve WiredTiger'\u0131n performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karacak \u015fekilde tasarlanm\u0131\u015ft\u0131r.<\/p>\n<p>\u00d6rne\u011fin, b\u00fcy\u00fck bir e-ticaret uygulamas\u0131nda, \u00fcr\u00fcn koleksiyonu milyonlarca belge i\u00e7erebilir. WiredTiger, bu belgelere h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in verimli bir \u015fekilde indekslenmi\u015f bir B+ a\u011fac\u0131 olu\u015fturur. Kullan\u0131c\u0131 bir \u00fcr\u00fcn arad\u0131\u011f\u0131nda, WiredTiger, ilgili indeksi kullanarak ilgili belgeye h\u0131zl\u0131ca eri\u015febilir. Bu, uygulaman\u0131n genel performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirir. WiredTiger, B+ a\u011fac\u0131n\u0131n b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc ve yap\u0131s\u0131n\u0131 dinamik olarak y\u00f6neterek, belgelere eri\u015fim performans\u0131n\u0131 korur.<\/p>\n<h2>\u0130ndeksler WiredTiger'da Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n<p>\u0130ndeksler, veritaban\u0131nda belirli alanlara h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in kullan\u0131l\u0131r. WiredTiger, farkl\u0131 indeks t\u00fcrlerini destekler. En yayg\u0131n kullan\u0131lan indeks t\u00fcr\u00fc B-tree indeksidir. Bir B-tree indeksi, belirli bir alandaki de\u011ferlere g\u00f6re s\u0131ralanm\u0131\u015f bir a\u011fa\u00e7 yap\u0131s\u0131d\u0131r. Bu a\u011fa\u00e7 yap\u0131s\u0131, belirli bir de\u011fere sahip belgelere h\u0131zl\u0131 eri\u015fim sa\u011flar. \u00d6rne\u011fin, bir kullan\u0131c\u0131 koleksiyonunda, kullan\u0131c\u0131 ad\u0131na g\u00f6re bir indeks olu\u015fturursan\u0131z, WiredTiger, belirli bir kullan\u0131c\u0131 ad\u0131na sahip kullan\u0131c\u0131y\u0131 h\u0131zl\u0131 bir \u015fekilde bulabilir. \u0130ndeksler, koleksiyonun tamam\u0131n\u0131 taraman\u0131n gereksinimini ortadan kald\u0131rarak sorgulama s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde k\u0131salt\u0131r. Bu, \u00f6zellikle b\u00fcy\u00fck koleksiyonlarda performans i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>\n<p>WiredTiger'\u0131n sundu\u011fu di\u011fer indeks t\u00fcrleri aras\u0131nda, karma tablolar (hash indexes) ve \u00f6rt\u00fck indeksler (covered queries) bulunur. Karma tablolar, e\u015fle\u015fen belgelere daha h\u0131zl\u0131 eri\u015fim sa\u011flar ancak s\u0131ral\u0131 eri\u015fim sa\u011flamazlar. \u00d6rt\u00fck indeksler ise, sorgulamada gerekli t\u00fcm bilgilerin indekste bulunmas\u0131n\u0131 sa\u011flayarak diskten veri okuma i\u015flemlerini azalt\u0131r. \u0130ndeks se\u00e7imi, sorgular\u0131n yap\u0131s\u0131na ve performans gereksinimlerine ba\u011fl\u0131 olarak de\u011fi\u015fir. Do\u011fru indeks stratejisi uygulamak, MongoDB performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Yanl\u0131\u015f indeks se\u00e7imleri ise tam tersine performans d\u00fc\u015f\u00fc\u015f\u00fcne neden olabilir. Bu nedenle, indekslerin do\u011fru \u015fekilde tasarlanmas\u0131 ve y\u00f6netilmesi \u00e7ok \u00f6nemlidir.<\/p>\n<h2>Uygulamal\u0131 \u00d6rnek: \u0130ndeks Olu\u015fturma ve Kullan\u0131m\u0131<\/h2>\n<p>\u015eimdi, MongoDB'de indeks olu\u015fturmay\u0131 ve kullan\u0131m\u0131n\u0131 g\u00f6steren bir \u00f6rnek inceleyelim. A\u015fa\u011f\u0131daki kod blo\u011fu, <code>users<\/code> koleksiyonunda <code>username<\/code> alan\u0131na bir indeks olu\u015fturur:<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">javascript\ndb.users.createIndex( { username: 1 } )<\/pre>\n<p><\/code><\/p>\n<p>Bu komut, <code>username<\/code> alan\u0131na g\u00f6re y\u00fckselen s\u0131rada (1) bir B-tree indeksi olu\u015fturur. Art\u0131k, <code>username<\/code> alan\u0131na g\u00f6re sorgulamalar yap\u0131ld\u0131\u011f\u0131nda, WiredTiger bu indeksi kullanarak belgelere daha h\u0131zl\u0131 eri\u015fim sa\u011flayabilir. A\u015fa\u011f\u0131daki sorgu, <code>username<\/code> alan\u0131 \"john.doe\" olan kullan\u0131c\u0131y\u0131 bulmak i\u00e7in bu indeksi kullanacakt\u0131r:<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">javascript\ndb.users.findOne( { username: \"john.doe\" } )<\/pre>\n<p><\/code><\/p>\n<p>Bu \u00f6rnek, basit bir indeks olu\u015fturma ve kullanma \u00f6rne\u011fidir. Daha karma\u015f\u0131k sorgulamalar i\u00e7in, birden fazla alan \u00fczerinde bile\u015fik indeksler olu\u015fturabilirsiniz. \u00d6rne\u011fin, <code>username<\/code> ve <code>email<\/code> alanlar\u0131na g\u00f6re bir indeks olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki komutu kullanabilirsiniz:<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">javascript\ndb.users.createIndex( { username: 1, email: 1 } )<\/pre>\n<p><\/code><\/p>\n<p>Bu, performans optimizasyonu i\u00e7in \u00f6nemlidir ve veritaban\u0131n\u0131zdaki veri b\u00fcy\u00fckl\u00fc\u011f\u00fcne ve sorgular\u0131n yap\u0131s\u0131na ba\u011fl\u0131 olarak \u00e7e\u015fitli indeks stratejileri denemek faydal\u0131 olacakt\u0131r. Daha fazla bilgi i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n<h2>Performans Optimizasyonu i\u00e7in \u0130pu\u00e7lar\u0131<\/h2>\n<p>MongoDB ve WiredTiger'dan en iyi performans\u0131 elde etmek i\u00e7in birka\u00e7 \u00f6nemli ipucu vard\u0131r. \u0130lk olarak, do\u011fru indeksleri se\u00e7mek \u00e7ok \u00f6nemlidir. Yanl\u0131\u015f indeksler performans\u0131 olumsuz etkileyebilir. \u0130kinci olarak, sorgu optimizasyonuna dikkat etmek gerekir. Verimli sorgular yazmak, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. \u00dc\u00e7\u00fcnc\u00fc olarak, veritaban\u0131 sunucunuzun donan\u0131m\u0131n\u0131 optimize etmek gerekir. Yeterli bellek ve h\u0131zl\u0131 depolama, performans\u0131 art\u0131rmaya yard\u0131mc\u0131 olur. Son olarak, veritaban\u0131 ayarlar\u0131n\u0131 inceleyerek WiredTiger'\u0131n \u00f6nbellek boyutunu ve di\u011fer parametrelerini optimize edebilirsiniz. Bu parametrelerin optimize edilmesi, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilir. Ancak dikkatli bir \u015fekilde yap\u0131lmal\u0131d\u0131r, \u00e7\u00fcnk\u00fc yanl\u0131\u015f ayarlar ters etki yaratabilir.<\/p>\n<p>\u00d6rne\u011fin, b\u00fcy\u00fck bir veri k\u00fcmesi i\u00e7in uygun olmayan bir indeks t\u00fcr\u00fc se\u00e7mek, sorgular\u0131n yava\u015flamas\u0131na neden olabilir. Benzer \u015fekilde, veritaban\u0131 sunucusunun donan\u0131m\u0131 yetersiz ise, performans d\u00fc\u015febilir. Bu nedenle, veritaban\u0131 sunucusunun donan\u0131m\u0131 ve yaz\u0131l\u0131m\u0131 do\u011fru \u015fekilde yap\u0131land\u0131r\u0131lmal\u0131d\u0131r. Performans testleri ile en uygun yap\u0131land\u0131rmay\u0131 bulmak ve zaman i\u00e7erisinde performans trendlerini takip etmek \u00f6nemlidir. Sistem performans\u0131n\u0131 izlemek i\u00e7in MongoDB'nin sundu\u011fu ara\u00e7lar\u0131 ve metrikleri kullanmak gerekir.<\/p>\n<h2>\u0130leri D\u00fczey Konular: WiredTiger'\u0131n \u0130\u00e7 \u0130\u015fleyi\u015fi<\/h2>\n<p>WiredTiger'\u0131n i\u00e7 i\u015fleyi\u015fi olduk\u00e7a karma\u015f\u0131kt\u0131r. Ancak, baz\u0131 temel konular\u0131 anlamak, performans optimizasyonunda yard\u0131mc\u0131 olabilir. WiredTiger, verileri B+ a\u011fa\u00e7lar\u0131 kullanarak depolar. Bu a\u011fa\u00e7lar, belgelere h\u0131zl\u0131 eri\u015fim sa\u011flar. WiredTiger, ayr\u0131ca, verilerin tutarl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flamak i\u00e7in i\u015flem g\u00fcnl\u00fc\u011f\u00fc (log) mekanizmas\u0131 kullan\u0131r. Bu mekanizma, beklenmedik kapanmalar durumunda veri kayb\u0131n\u0131 \u00f6nler. WiredTiger, ayr\u0131ca, \u00f6nbellek y\u00f6netimi, sayfalama (paging) ve e\u015fzamanl\u0131l\u0131k kontrol\u00fc gibi bir\u00e7ok \u00f6zellik sunar. Bu \u00f6zellikler, performans\u0131 optimize etmeye ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamaya yard\u0131mc\u0131 olur. Daha derinlemesine bilgi i\u00e7in, WiredTiger'\u0131n resmi dok\u00fcmantasyonunu inceleyebilirsiniz.<\/p>\n<p>WiredTiger'\u0131n performans\u0131n\u0131 etkileyen \u00f6nemli fakt\u00f6rlerden biri, \u00f6nbellek y\u00f6netimidir. WiredTiger, verileri \u00f6nbellekte tutarak disk eri\u015fimlerini azalt\u0131r. Ancak, \u00f6nbellek s\u0131n\u0131rl\u0131 bir kaynakt\u0131r. Bu nedenle, \u00f6nbellek y\u00f6netimi, performans\u0131 optimize etmek i\u00e7in \u00e7ok \u00f6nemlidir. WiredTiger, farkl\u0131 \u00f6nbellek de\u011fi\u015ftirme algoritmalar\u0131 kullanarak \u00f6nbellekteki verileri y\u00f6netir. Bu algoritmalar, hangi verilerin \u00f6nbellekte tutulaca\u011f\u0131na ve hangi verilerin diske yaz\u0131laca\u011f\u0131na karar verir. Ayr\u0131ca, WiredTiger'\u0131n konfig\u00fcrasyon parametrelerini inceleyerek \u00f6nbellek boyutunu ve di\u011fer parametreleri optimize edebilirsiniz. Bu, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir, ancak dikkatli yap\u0131lmal\u0131d\u0131r.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryolar\u0131: Vaka Analizleri<\/h2>\n<p>\u015eimdi, ger\u00e7ek d\u00fcnya senaryolar\u0131na bakal\u0131m. \u00d6rne\u011fin, bir sosyal medya uygulamas\u0131, kullan\u0131c\u0131 profilleri ve g\u00f6nderiler i\u00e7in b\u00fcy\u00fck bir veritaban\u0131 kullanabilir. Bu uygulaman\u0131n performans\u0131n\u0131 art\u0131rmak i\u00e7in, do\u011fru indeksleri se\u00e7mek \u00e7ok \u00f6nemlidir. Kullan\u0131c\u0131 ad\u0131na ve g\u00f6nderi tarihine g\u00f6re indeksler olu\u015fturmak, sorgular\u0131 h\u0131zland\u0131rabilir. Benzer \u015fekilde, bir e-ticaret uygulamas\u0131, \u00fcr\u00fcn ad\u0131na, kategoriye ve fiyata g\u00f6re indeksler olu\u015fturarak \u00fcr\u00fcn aramalar\u0131n\u0131 h\u0131zland\u0131rabilir. Bu \u00f6rnekler, do\u011fru indeksleme stratejisinin performans\u0131 nas\u0131l etkileyebilece\u011fini g\u00f6sterir.<\/p>\n<p>Ba\u015fka bir \u00f6rnek olarak, bir b\u00fcy\u00fck veri analizi uygulamas\u0131n\u0131 ele alal\u0131m. Burada, b\u00fcy\u00fck veri k\u00fcmelerinin i\u015flenmesi \u00f6nemlidir. Bu durumda, WiredTiger'\u0131n sunmu\u015f oldu\u011fu performans optimizasyonlar\u0131, veri i\u015fleme s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde azaltabilir. Veri par\u00e7alama (sharding) ve da\u011f\u0131t\u0131lm\u0131\u015f indeksleme gibi teknikler, b\u00fcy\u00fck veri k\u00fcmelerini verimli bir \u015fekilde y\u00f6netmeye yard\u0131mc\u0131 olabilir. Ayr\u0131ca, uygulaman\u0131n veritaban\u0131 ile etkile\u015fim \u015feklini g\u00f6zden ge\u00e7irmek ve sorgular\u0131 optimize etmek de \u00f6nemlidir. Performans sorunlar\u0131n\u0131n nedenini anlamak i\u00e7in, veritaban\u0131 istatistiklerini ve g\u00fcnl\u00fckleri inceleyerek analiz yapmak gerekir. Bu analizler, performans darbo\u011fazlar\u0131n\u0131 belirlemeye ve uygun \u00e7\u00f6z\u00fcmler \u00fcretmeye yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n<h2>\u00d6\u011frenme Yol Haritas\u0131<\/h2>\n<ul>\n<li><strong>Yeni Ba\u015flayanlar:<\/strong> MongoDB ve WiredTiger kavramlar\u0131n\u0131 \u00f6\u011frenin. Temel indeks olu\u015fturma ve sorgulama i\u015flemlerini uygulay\u0131n. <\/li>\n<li><strong>Orta Seviye:<\/strong> Farkl\u0131 indeks t\u00fcrlerini ve bunlar\u0131n kullan\u0131m alanlar\u0131n\u0131 inceleyin. Performans optimizasyon tekniklerini \u00f6\u011frenin. Ger\u00e7ek d\u00fcnya senaryolar\u0131na dayal\u0131 \u00f6rnekler \u00fczerinde \u00e7al\u0131\u015f\u0131n.<\/li>\n<li><strong>\u0130leri Seviye:<\/strong> WiredTiger'\u0131n i\u00e7 i\u015fleyi\u015fini ve konfig\u00fcrasyon parametrelerini detayl\u0131 olarak inceleyin. Karma\u015f\u0131k sorgulama optimizasyonu ve da\u011f\u0131t\u0131k ortam performans optimizasyonuna odaklan\u0131n. Performans izleme ve sorun giderme tekniklerini uygulay\u0131n.<\/li>\n<\/ul>\n<h2>Sonu\u00e7<\/h2>\n<p>MongoDB'nin WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 ve y\u00f6netildi\u011fini inceledik. Do\u011fru indeksleme stratejileri ve sorgu optimizasyonu, uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Bu makale, MongoDB uzmanl\u0131\u011f\u0131 yolunda \u00f6nemli bir ad\u0131m olacakt\u0131r. Daha derinlemesine bilgi i\u00e7in, <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><strong>WiredTiger'\u0131 ba\u015fka bir depolama motoruyla de\u011fi\u015ftirmek m\u00fcmk\u00fcn m\u00fc?<\/strong> Evet, ancak WiredTiger, performans ve \u00f6zellik a\u00e7\u0131s\u0131ndan genellikle en iyi se\u00e7enektir. Di\u011fer se\u00e7enekleri de\u011ferlendirmeden \u00f6nce performans gereksinimlerinizi dikkatlice analiz etmeniz \u00f6nerilir.<\/li>\n<li><strong>\u00c7ok b\u00fcy\u00fck koleksiyonlarda performans nas\u0131l optimize edilir?<\/strong> Veri par\u00e7alama (sharding), uygun indeksleme, sorgu optimizasyonu ve donan\u0131m optimizasyonu gibi \u00e7e\u015fitli stratejiler kullan\u0131labilir.<\/li>\n<li><strong>WiredTiger'\u0131n \u00f6nbelle\u011fi nas\u0131l optimize edilir?<\/strong> WiredTiger'\u0131n \u00f6nbellek boyutunu ve \u00f6nbellek de\u011fi\u015ftirme algoritmas\u0131n\u0131 ayarlayarak optimize edilebilir. Ancak, bu ayarlar dikkatlice yap\u0131lmal\u0131d\u0131r, \u00e7\u00fcnk\u00fc yanl\u0131\u015f ayarlar performans\u0131 olumsuz etkileyebilir.<\/li>\n<li><strong>\u0130ndeks olu\u015fturman\u0131n performansa etkisi nedir?<\/strong> Uygun indeksler, sorgulama s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde azaltarak performans\u0131 art\u0131r\u0131r. Ancak, \u00e7ok fazla indeks olu\u015fturmak, yazma i\u015flemlerini yava\u015flatabilir.<\/li>\n<li><strong>WiredTiger'\u0131n veri b\u00fct\u00fcnl\u00fc\u011f\u00fc nas\u0131l sa\u011flan\u0131r?<\/strong> \u0130\u015flem g\u00fcnl\u00fc\u011f\u00fc (write-ahead log) mekanizmas\u0131 ve \u00e7e\u015fitli tutarl\u0131l\u0131k kontrol mekanizmalar\u0131 ile sa\u011flan\u0131r.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n<p><\/body><br \/>\n<\/html><\/code><\/p>\n","protected":false},"excerpt":{"rendered":"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama Veri y\u00f6netimi,…","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":[1],"tags":[],"class_list":{"0":"post-29524","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama<\/title>\n<meta name=\"description\" content=\"Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. MongoDB, esnekli\u011fi ve \u00f6l\u00e7eklenebilirli\u011fi ile pop\u00fcler bir NoSQL veritaban\u0131 olmas\u0131na ra\u011fmen, performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in alt yap\u0131s\u0131n\u0131 anlamak gereklidir. Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.\" \/>\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\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama\" \/>\n<meta property=\"og:description\" content=\"Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. MongoDB, esnekli\u011fi ve \u00f6l\u00e7eklenebilirli\u011fi ile pop\u00fcler bir NoSQL veritaban\u0131 olmas\u0131na ra\u011fmen, performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in alt yap\u0131s\u0131n\u0131 anlamak gereklidir. Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-14T17:30:34+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=\"10 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger’da Koleksiyon ve \u0130ndeks Depolama\",\"datePublished\":\"2025-09-14T17:30:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\"},\"wordCount\":1992,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\",\"name\":\"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-09-14T17:30:34+00:00\",\"description\":\"Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. 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Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.","breadcrumb":{"@id":"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/fatihsoysal.com\/blog\/"},{"@type":"ListItem","position":2,"name":"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger’da Koleksiyon ve \u0130ndeks Depolama"}]},{"@type":"WebSite","@id":"https:\/\/fatihsoysal.com\/blog\/#website","url":"https:\/\/fatihsoysal.com\/blog\/","name":"Fatihsoysal.com","description":"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim","publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"tr"},{"@type":["Person","Organization"],"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1","name":"Fatih Soysal","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","contentUrl":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","width":512,"height":512,"caption":"Fatih Soysal"},"logo":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/"},"description":"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.","url":"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/"}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/29524","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/comments?post=29524"}],"version-history":[{"count":0,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/29524\/revisions"}],"wp:attachment":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/media?parent=29524"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/categories?post=29524"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/tags?post=29524"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":29524,"date":"2025-09-14T20:30:34","date_gmt":"2025-09-14T17:30:34","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/"},"modified":"2025-09-14T20:30:34","modified_gmt":"2025-09-14T17:30:34","slug":"mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/","title":{"rendered":"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger’da Koleksiyon ve \u0130ndeks Depolama"},"content":{"rendered":"

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\nMongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama<\/title><\/p>\n<style>\n body {\n font-family: sans-serif;\n line-height: 1.6;\n margin: 20px;\n }\n h1 {\n font-size: 2em;\n }\n h2 {\n font-size: 1.5em;\n margin-top: 1.5em;\n }\n h3 {\n font-size: 1.2em;\n margin-top: 1em;\n }\n table {\n width: 100%;\n border-collapse: collapse;\n margin-top: 1em;\n }\n th, td {\n border: 1px solid #ddd;\n padding: 8px;\n text-align: left;\n }\n code {\n background-color: #f0f0f0;\n padding: 2px 4px;\n border-radius: 4px;\n }\n .warning {\n background-color: #ffdddd;\n border: 1px solid #ffaaaa;\n padding: 10px;\n margin-bottom: 10px;\n }\n @media (max-width: 768px) {\n body {\n font-size: 14px;\n }\n }\n<\/style>\n<p><\/head><br \/>\n<body><\/p>\n<p>MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama<\/p>\n<p>Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. MongoDB, esnekli\u011fi ve \u00f6l\u00e7eklenebilirli\u011fi ile pop\u00fcler bir NoSQL veritaban\u0131 olmas\u0131na ra\u011fmen, performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in alt yap\u0131s\u0131n\u0131 anlamak gereklidir. Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.<\/p>\n<h2>MongoDB ve WiredTiger: Temel Kavramlar<\/h2>\n<p>\u00d6ncelikle, MongoDB ve WiredTiger'\u0131n ne oldu\u011funu ve neden birlikte \u00e7al\u0131\u015ft\u0131klar\u0131n\u0131 anlamak \u00f6nemlidir. MongoDB, belge tabanl\u0131 bir NoSQL veritaban\u0131d\u0131r. Verileri JSON benzeri belgelere depolar ve bu belgelere h\u0131zl\u0131 eri\u015fim sa\u011flar. WiredTiger ise MongoDB'nin varsay\u0131lan depolama motorudur (3.2 s\u00fcr\u00fcm\u00fcnden itibaren). Btree, LSM-tree gibi farkl\u0131 indeksleme tekniklerini kullanarak verilerin diskte etkili bir \u015fekilde y\u00f6netilmesini sa\u011flar. WiredTiger, performans ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fc sa\u011flamak i\u00e7in \u00e7e\u015fitli optimizasyonlar sunar. Bu optimizasyonlar, verilerin nas\u0131l organize edildi\u011fi ve eri\u015fildi\u011fi ile yak\u0131ndan ilgilidir.<\/p>\n<p>WiredTiger, bellek i\u00e7i (in-memory) ve disk \u00fczerindeki verileri y\u00f6netir. Bellekteki veriler, s\u0131k eri\u015filen belgelere h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in kullan\u0131l\u0131r. Disk \u00fczerindeki veriler ise kal\u0131c\u0131l\u0131\u011f\u0131 sa\u011flar. WiredTiger, verilerin tutarl\u0131l\u0131\u011f\u0131n\u0131 ve performans\u0131n\u0131 optimize etmek i\u00e7in \u00e7e\u015fitli \u00f6nbellek y\u00f6netim mekanizmalar\u0131 kullan\u0131r. Bu mekanizmalar, okuma ve yazma i\u015flemlerini h\u0131zland\u0131r\u0131r ve verilerin g\u00fcvenli bir \u015fekilde saklanmas\u0131n\u0131 garanti eder. Ayr\u0131ca, i\u015flem g\u00fcnl\u00fc\u011f\u00fc (log) mekanizmas\u0131 sayesinde, beklenmedik kapanmalar durumunda veri kayb\u0131n\u0131 \u00f6nler. Bu mekanizmalar, MongoDB'nin y\u00fcksek performans ve y\u00fcksek kullan\u0131labilirlik hedeflerine ula\u015fmas\u0131n\u0131 sa\u011flar.<\/p>\n<h2>Koleksiyonlar WiredTiger'da Nas\u0131l Depolan\u0131r?<\/h2>\n<p>MongoDB'deki koleksiyonlar, asl\u0131nda WiredTiger taraf\u0131ndan y\u00f6netilen dosyalard\u0131r. Bu dosyalar, belgelere eri\u015fimi h\u0131zland\u0131rmak i\u00e7in optimize edilmi\u015ftir. WiredTiger, belgelere h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in B+ a\u011fa\u00e7 yap\u0131lar\u0131n\u0131 kullan\u0131r. Her koleksiyon, bu a\u011fa\u00e7 yap\u0131s\u0131n\u0131n bir \u00f6rne\u011fi olarak d\u00fc\u015f\u00fcn\u00fclebilir. Bu a\u011fa\u00e7, belgelere anahtar (key) de\u011ferlerine g\u00f6re eri\u015fim sa\u011flar. Bu anahtarlar, varsay\u0131lan olarak <code>_id<\/code> alan\u0131d\u0131r, ancak \u00f6zel indeksler olu\u015fturarak farkl\u0131 alanlar da anahtar olarak kullan\u0131labilir. Her bir d\u00fc\u011f\u00fcm (node) B+ a\u011fac\u0131nda, belirli bir say\u0131da belge referans\u0131 tutar. A\u011fa\u00e7 yap\u0131s\u0131, belgelere verimli bir \u015fekilde eri\u015fim sa\u011flar. Koleksiyonlar fiziksel olarak, dosya sisteminde belirli bir dizine ayr\u0131lan ayr\u0131 dosyalar veya dosya gruplar\u0131 olarak bulunur. Bu dizinler ve dosya yap\u0131s\u0131, MongoDB ve WiredTiger'\u0131n performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karacak \u015fekilde tasarlanm\u0131\u015ft\u0131r.<\/p>\n<p>\u00d6rne\u011fin, b\u00fcy\u00fck bir e-ticaret uygulamas\u0131nda, \u00fcr\u00fcn koleksiyonu milyonlarca belge i\u00e7erebilir. WiredTiger, bu belgelere h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in verimli bir \u015fekilde indekslenmi\u015f bir B+ a\u011fac\u0131 olu\u015fturur. Kullan\u0131c\u0131 bir \u00fcr\u00fcn arad\u0131\u011f\u0131nda, WiredTiger, ilgili indeksi kullanarak ilgili belgeye h\u0131zl\u0131ca eri\u015febilir. Bu, uygulaman\u0131n genel performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirir. WiredTiger, B+ a\u011fac\u0131n\u0131n b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc ve yap\u0131s\u0131n\u0131 dinamik olarak y\u00f6neterek, belgelere eri\u015fim performans\u0131n\u0131 korur.<\/p>\n<h2>\u0130ndeksler WiredTiger'da Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n<p>\u0130ndeksler, veritaban\u0131nda belirli alanlara h\u0131zl\u0131 eri\u015fim sa\u011flamak i\u00e7in kullan\u0131l\u0131r. WiredTiger, farkl\u0131 indeks t\u00fcrlerini destekler. En yayg\u0131n kullan\u0131lan indeks t\u00fcr\u00fc B-tree indeksidir. Bir B-tree indeksi, belirli bir alandaki de\u011ferlere g\u00f6re s\u0131ralanm\u0131\u015f bir a\u011fa\u00e7 yap\u0131s\u0131d\u0131r. Bu a\u011fa\u00e7 yap\u0131s\u0131, belirli bir de\u011fere sahip belgelere h\u0131zl\u0131 eri\u015fim sa\u011flar. \u00d6rne\u011fin, bir kullan\u0131c\u0131 koleksiyonunda, kullan\u0131c\u0131 ad\u0131na g\u00f6re bir indeks olu\u015fturursan\u0131z, WiredTiger, belirli bir kullan\u0131c\u0131 ad\u0131na sahip kullan\u0131c\u0131y\u0131 h\u0131zl\u0131 bir \u015fekilde bulabilir. \u0130ndeksler, koleksiyonun tamam\u0131n\u0131 taraman\u0131n gereksinimini ortadan kald\u0131rarak sorgulama s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde k\u0131salt\u0131r. Bu, \u00f6zellikle b\u00fcy\u00fck koleksiyonlarda performans i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>\n<p>WiredTiger'\u0131n sundu\u011fu di\u011fer indeks t\u00fcrleri aras\u0131nda, karma tablolar (hash indexes) ve \u00f6rt\u00fck indeksler (covered queries) bulunur. Karma tablolar, e\u015fle\u015fen belgelere daha h\u0131zl\u0131 eri\u015fim sa\u011flar ancak s\u0131ral\u0131 eri\u015fim sa\u011flamazlar. \u00d6rt\u00fck indeksler ise, sorgulamada gerekli t\u00fcm bilgilerin indekste bulunmas\u0131n\u0131 sa\u011flayarak diskten veri okuma i\u015flemlerini azalt\u0131r. \u0130ndeks se\u00e7imi, sorgular\u0131n yap\u0131s\u0131na ve performans gereksinimlerine ba\u011fl\u0131 olarak de\u011fi\u015fir. Do\u011fru indeks stratejisi uygulamak, MongoDB performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Yanl\u0131\u015f indeks se\u00e7imleri ise tam tersine performans d\u00fc\u015f\u00fc\u015f\u00fcne neden olabilir. Bu nedenle, indekslerin do\u011fru \u015fekilde tasarlanmas\u0131 ve y\u00f6netilmesi \u00e7ok \u00f6nemlidir.<\/p>\n<h2>Uygulamal\u0131 \u00d6rnek: \u0130ndeks Olu\u015fturma ve Kullan\u0131m\u0131<\/h2>\n<p>\u015eimdi, MongoDB'de indeks olu\u015fturmay\u0131 ve kullan\u0131m\u0131n\u0131 g\u00f6steren bir \u00f6rnek inceleyelim. A\u015fa\u011f\u0131daki kod blo\u011fu, <code>users<\/code> koleksiyonunda <code>username<\/code> alan\u0131na bir indeks olu\u015fturur:<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">javascript\ndb.users.createIndex( { username: 1 } )<\/pre>\n<p><\/code><\/p>\n<p>Bu komut, <code>username<\/code> alan\u0131na g\u00f6re y\u00fckselen s\u0131rada (1) bir B-tree indeksi olu\u015fturur. Art\u0131k, <code>username<\/code> alan\u0131na g\u00f6re sorgulamalar yap\u0131ld\u0131\u011f\u0131nda, WiredTiger bu indeksi kullanarak belgelere daha h\u0131zl\u0131 eri\u015fim sa\u011flayabilir. A\u015fa\u011f\u0131daki sorgu, <code>username<\/code> alan\u0131 \"john.doe\" olan kullan\u0131c\u0131y\u0131 bulmak i\u00e7in bu indeksi kullanacakt\u0131r:<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">javascript\ndb.users.findOne( { username: \"john.doe\" } )<\/pre>\n<p><\/code><\/p>\n<p>Bu \u00f6rnek, basit bir indeks olu\u015fturma ve kullanma \u00f6rne\u011fidir. Daha karma\u015f\u0131k sorgulamalar i\u00e7in, birden fazla alan \u00fczerinde bile\u015fik indeksler olu\u015fturabilirsiniz. \u00d6rne\u011fin, <code>username<\/code> ve <code>email<\/code> alanlar\u0131na g\u00f6re bir indeks olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki komutu kullanabilirsiniz:<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">javascript\ndb.users.createIndex( { username: 1, email: 1 } )<\/pre>\n<p><\/code><\/p>\n<p>Bu, performans optimizasyonu i\u00e7in \u00f6nemlidir ve veritaban\u0131n\u0131zdaki veri b\u00fcy\u00fckl\u00fc\u011f\u00fcne ve sorgular\u0131n yap\u0131s\u0131na ba\u011fl\u0131 olarak \u00e7e\u015fitli indeks stratejileri denemek faydal\u0131 olacakt\u0131r. Daha fazla bilgi i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n<h2>Performans Optimizasyonu i\u00e7in \u0130pu\u00e7lar\u0131<\/h2>\n<p>MongoDB ve WiredTiger'dan en iyi performans\u0131 elde etmek i\u00e7in birka\u00e7 \u00f6nemli ipucu vard\u0131r. \u0130lk olarak, do\u011fru indeksleri se\u00e7mek \u00e7ok \u00f6nemlidir. Yanl\u0131\u015f indeksler performans\u0131 olumsuz etkileyebilir. \u0130kinci olarak, sorgu optimizasyonuna dikkat etmek gerekir. Verimli sorgular yazmak, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. \u00dc\u00e7\u00fcnc\u00fc olarak, veritaban\u0131 sunucunuzun donan\u0131m\u0131n\u0131 optimize etmek gerekir. Yeterli bellek ve h\u0131zl\u0131 depolama, performans\u0131 art\u0131rmaya yard\u0131mc\u0131 olur. Son olarak, veritaban\u0131 ayarlar\u0131n\u0131 inceleyerek WiredTiger'\u0131n \u00f6nbellek boyutunu ve di\u011fer parametrelerini optimize edebilirsiniz. Bu parametrelerin optimize edilmesi, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilir. Ancak dikkatli bir \u015fekilde yap\u0131lmal\u0131d\u0131r, \u00e7\u00fcnk\u00fc yanl\u0131\u015f ayarlar ters etki yaratabilir.<\/p>\n<p>\u00d6rne\u011fin, b\u00fcy\u00fck bir veri k\u00fcmesi i\u00e7in uygun olmayan bir indeks t\u00fcr\u00fc se\u00e7mek, sorgular\u0131n yava\u015flamas\u0131na neden olabilir. Benzer \u015fekilde, veritaban\u0131 sunucusunun donan\u0131m\u0131 yetersiz ise, performans d\u00fc\u015febilir. Bu nedenle, veritaban\u0131 sunucusunun donan\u0131m\u0131 ve yaz\u0131l\u0131m\u0131 do\u011fru \u015fekilde yap\u0131land\u0131r\u0131lmal\u0131d\u0131r. Performans testleri ile en uygun yap\u0131land\u0131rmay\u0131 bulmak ve zaman i\u00e7erisinde performans trendlerini takip etmek \u00f6nemlidir. Sistem performans\u0131n\u0131 izlemek i\u00e7in MongoDB'nin sundu\u011fu ara\u00e7lar\u0131 ve metrikleri kullanmak gerekir.<\/p>\n<h2>\u0130leri D\u00fczey Konular: WiredTiger'\u0131n \u0130\u00e7 \u0130\u015fleyi\u015fi<\/h2>\n<p>WiredTiger'\u0131n i\u00e7 i\u015fleyi\u015fi olduk\u00e7a karma\u015f\u0131kt\u0131r. Ancak, baz\u0131 temel konular\u0131 anlamak, performans optimizasyonunda yard\u0131mc\u0131 olabilir. WiredTiger, verileri B+ a\u011fa\u00e7lar\u0131 kullanarak depolar. Bu a\u011fa\u00e7lar, belgelere h\u0131zl\u0131 eri\u015fim sa\u011flar. WiredTiger, ayr\u0131ca, verilerin tutarl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flamak i\u00e7in i\u015flem g\u00fcnl\u00fc\u011f\u00fc (log) mekanizmas\u0131 kullan\u0131r. Bu mekanizma, beklenmedik kapanmalar durumunda veri kayb\u0131n\u0131 \u00f6nler. WiredTiger, ayr\u0131ca, \u00f6nbellek y\u00f6netimi, sayfalama (paging) ve e\u015fzamanl\u0131l\u0131k kontrol\u00fc gibi bir\u00e7ok \u00f6zellik sunar. Bu \u00f6zellikler, performans\u0131 optimize etmeye ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamaya yard\u0131mc\u0131 olur. Daha derinlemesine bilgi i\u00e7in, WiredTiger'\u0131n resmi dok\u00fcmantasyonunu inceleyebilirsiniz.<\/p>\n<p>WiredTiger'\u0131n performans\u0131n\u0131 etkileyen \u00f6nemli fakt\u00f6rlerden biri, \u00f6nbellek y\u00f6netimidir. WiredTiger, verileri \u00f6nbellekte tutarak disk eri\u015fimlerini azalt\u0131r. Ancak, \u00f6nbellek s\u0131n\u0131rl\u0131 bir kaynakt\u0131r. Bu nedenle, \u00f6nbellek y\u00f6netimi, performans\u0131 optimize etmek i\u00e7in \u00e7ok \u00f6nemlidir. WiredTiger, farkl\u0131 \u00f6nbellek de\u011fi\u015ftirme algoritmalar\u0131 kullanarak \u00f6nbellekteki verileri y\u00f6netir. Bu algoritmalar, hangi verilerin \u00f6nbellekte tutulaca\u011f\u0131na ve hangi verilerin diske yaz\u0131laca\u011f\u0131na karar verir. Ayr\u0131ca, WiredTiger'\u0131n konfig\u00fcrasyon parametrelerini inceleyerek \u00f6nbellek boyutunu ve di\u011fer parametreleri optimize edebilirsiniz. Bu, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir, ancak dikkatli yap\u0131lmal\u0131d\u0131r.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryolar\u0131: Vaka Analizleri<\/h2>\n<p>\u015eimdi, ger\u00e7ek d\u00fcnya senaryolar\u0131na bakal\u0131m. \u00d6rne\u011fin, bir sosyal medya uygulamas\u0131, kullan\u0131c\u0131 profilleri ve g\u00f6nderiler i\u00e7in b\u00fcy\u00fck bir veritaban\u0131 kullanabilir. Bu uygulaman\u0131n performans\u0131n\u0131 art\u0131rmak i\u00e7in, do\u011fru indeksleri se\u00e7mek \u00e7ok \u00f6nemlidir. Kullan\u0131c\u0131 ad\u0131na ve g\u00f6nderi tarihine g\u00f6re indeksler olu\u015fturmak, sorgular\u0131 h\u0131zland\u0131rabilir. Benzer \u015fekilde, bir e-ticaret uygulamas\u0131, \u00fcr\u00fcn ad\u0131na, kategoriye ve fiyata g\u00f6re indeksler olu\u015fturarak \u00fcr\u00fcn aramalar\u0131n\u0131 h\u0131zland\u0131rabilir. Bu \u00f6rnekler, do\u011fru indeksleme stratejisinin performans\u0131 nas\u0131l etkileyebilece\u011fini g\u00f6sterir.<\/p>\n<p>Ba\u015fka bir \u00f6rnek olarak, bir b\u00fcy\u00fck veri analizi uygulamas\u0131n\u0131 ele alal\u0131m. Burada, b\u00fcy\u00fck veri k\u00fcmelerinin i\u015flenmesi \u00f6nemlidir. Bu durumda, WiredTiger'\u0131n sunmu\u015f oldu\u011fu performans optimizasyonlar\u0131, veri i\u015fleme s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde azaltabilir. Veri par\u00e7alama (sharding) ve da\u011f\u0131t\u0131lm\u0131\u015f indeksleme gibi teknikler, b\u00fcy\u00fck veri k\u00fcmelerini verimli bir \u015fekilde y\u00f6netmeye yard\u0131mc\u0131 olabilir. Ayr\u0131ca, uygulaman\u0131n veritaban\u0131 ile etkile\u015fim \u015feklini g\u00f6zden ge\u00e7irmek ve sorgular\u0131 optimize etmek de \u00f6nemlidir. Performans sorunlar\u0131n\u0131n nedenini anlamak i\u00e7in, veritaban\u0131 istatistiklerini ve g\u00fcnl\u00fckleri inceleyerek analiz yapmak gerekir. Bu analizler, performans darbo\u011fazlar\u0131n\u0131 belirlemeye ve uygun \u00e7\u00f6z\u00fcmler \u00fcretmeye yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n<h2>\u00d6\u011frenme Yol Haritas\u0131<\/h2>\n<ul>\n<li><strong>Yeni Ba\u015flayanlar:<\/strong> MongoDB ve WiredTiger kavramlar\u0131n\u0131 \u00f6\u011frenin. Temel indeks olu\u015fturma ve sorgulama i\u015flemlerini uygulay\u0131n. <\/li>\n<li><strong>Orta Seviye:<\/strong> Farkl\u0131 indeks t\u00fcrlerini ve bunlar\u0131n kullan\u0131m alanlar\u0131n\u0131 inceleyin. Performans optimizasyon tekniklerini \u00f6\u011frenin. Ger\u00e7ek d\u00fcnya senaryolar\u0131na dayal\u0131 \u00f6rnekler \u00fczerinde \u00e7al\u0131\u015f\u0131n.<\/li>\n<li><strong>\u0130leri Seviye:<\/strong> WiredTiger'\u0131n i\u00e7 i\u015fleyi\u015fini ve konfig\u00fcrasyon parametrelerini detayl\u0131 olarak inceleyin. Karma\u015f\u0131k sorgulama optimizasyonu ve da\u011f\u0131t\u0131k ortam performans optimizasyonuna odaklan\u0131n. Performans izleme ve sorun giderme tekniklerini uygulay\u0131n.<\/li>\n<\/ul>\n<h2>Sonu\u00e7<\/h2>\n<p>MongoDB'nin WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 ve y\u00f6netildi\u011fini inceledik. Do\u011fru indeksleme stratejileri ve sorgu optimizasyonu, uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Bu makale, MongoDB uzmanl\u0131\u011f\u0131 yolunda \u00f6nemli bir ad\u0131m olacakt\u0131r. Daha derinlemesine bilgi i\u00e7in, <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><strong>WiredTiger'\u0131 ba\u015fka bir depolama motoruyla de\u011fi\u015ftirmek m\u00fcmk\u00fcn m\u00fc?<\/strong> Evet, ancak WiredTiger, performans ve \u00f6zellik a\u00e7\u0131s\u0131ndan genellikle en iyi se\u00e7enektir. Di\u011fer se\u00e7enekleri de\u011ferlendirmeden \u00f6nce performans gereksinimlerinizi dikkatlice analiz etmeniz \u00f6nerilir.<\/li>\n<li><strong>\u00c7ok b\u00fcy\u00fck koleksiyonlarda performans nas\u0131l optimize edilir?<\/strong> Veri par\u00e7alama (sharding), uygun indeksleme, sorgu optimizasyonu ve donan\u0131m optimizasyonu gibi \u00e7e\u015fitli stratejiler kullan\u0131labilir.<\/li>\n<li><strong>WiredTiger'\u0131n \u00f6nbelle\u011fi nas\u0131l optimize edilir?<\/strong> WiredTiger'\u0131n \u00f6nbellek boyutunu ve \u00f6nbellek de\u011fi\u015ftirme algoritmas\u0131n\u0131 ayarlayarak optimize edilebilir. Ancak, bu ayarlar dikkatlice yap\u0131lmal\u0131d\u0131r, \u00e7\u00fcnk\u00fc yanl\u0131\u015f ayarlar performans\u0131 olumsuz etkileyebilir.<\/li>\n<li><strong>\u0130ndeks olu\u015fturman\u0131n performansa etkisi nedir?<\/strong> Uygun indeksler, sorgulama s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde azaltarak performans\u0131 art\u0131r\u0131r. Ancak, \u00e7ok fazla indeks olu\u015fturmak, yazma i\u015flemlerini yava\u015flatabilir.<\/li>\n<li><strong>WiredTiger'\u0131n veri b\u00fct\u00fcnl\u00fc\u011f\u00fc nas\u0131l sa\u011flan\u0131r?<\/strong> \u0130\u015flem g\u00fcnl\u00fc\u011f\u00fc (write-ahead log) mekanizmas\u0131 ve \u00e7e\u015fitli tutarl\u0131l\u0131k kontrol mekanizmalar\u0131 ile sa\u011flan\u0131r.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n<p><\/body><br \/>\n<\/html><\/code><\/p>\n","protected":false},"excerpt":{"rendered":"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama Veri y\u00f6netimi,…","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":[1],"tags":[],"class_list":{"0":"post-29524","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama<\/title>\n<meta name=\"description\" content=\"Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. MongoDB, esnekli\u011fi ve \u00f6l\u00e7eklenebilirli\u011fi ile pop\u00fcler bir NoSQL veritaban\u0131 olmas\u0131na ra\u011fmen, performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in alt yap\u0131s\u0131n\u0131 anlamak gereklidir. Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.\" \/>\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\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama\" \/>\n<meta property=\"og:description\" content=\"Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. MongoDB, esnekli\u011fi ve \u00f6l\u00e7eklenebilirli\u011fi ile pop\u00fcler bir NoSQL veritaban\u0131 olmas\u0131na ra\u011fmen, performans\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in alt yap\u0131s\u0131n\u0131 anlamak gereklidir. Bu makalede, MongoDB'nin performans\u0131n\u0131n arkas\u0131ndaki \u00f6nemli bir bile\u015fen olan WiredTiger depolama motorunda koleksiyonlar ve indekslerin nas\u0131l depoland\u0131\u011f\u0131n\u0131 detayl\u0131 olarak inceleyece\u011fiz. \u00d6\u011frenme yolculu\u011funuza rehberlik edecek, ad\u0131m ad\u0131m ilerleyece\u011fimiz bir yol haritas\u0131 sunaca\u011f\u0131z.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-14T17:30:34+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=\"10 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger’da Koleksiyon ve \u0130ndeks Depolama\",\"datePublished\":\"2025-09-14T17:30:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\"},\"wordCount\":1992,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/mongodb-ic-yapisi-wiredtigerda-koleksiyon-ve-indeks-depolama\/\",\"name\":\"MongoDB \u0130\u00e7 Yap\u0131s\u0131: WiredTiger'da Koleksiyon ve \u0130ndeks Depolama\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-09-14T17:30:34+00:00\",\"description\":\"Veri y\u00f6netimi, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalar i\u00e7in hayati \u00f6nem ta\u015f\u0131r. 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