{"id":476736,"date":"2023-08-09T07:35:16","date_gmt":"2023-08-09T07:35:16","guid":{"rendered":""},"modified":"2023-09-05T11:13:20","modified_gmt":"2023-09-05T11:13:20","slug":"database-partitioning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/database-partitioning\/","title":{"rendered":"Veritaban\u0131 b\u00f6l\u00fcmleme"},"content":{"rendered":"

Veritaban\u0131 b\u00f6l\u00fcmleme, b\u00fcy\u00fck bir veritaban\u0131n\u0131 ayr\u0131 ayr\u0131 depolanabilen, i\u015flenebilen ve eri\u015filebilen daha k\u00fc\u00e7\u00fck, daha y\u00f6netilebilir par\u00e7alara veya b\u00f6l\u00fcmlere ay\u0131rmay\u0131 i\u00e7eren bir yakla\u015f\u0131md\u0131r. Bu y\u00f6ntem, veritaban\u0131 performans\u0131n\u0131 optimize etmeyi, y\u00f6netimi basitle\u015ftirmeyi ve \u00f6l\u00e7eklenebilirli\u011fi geli\u015ftirmeyi ama\u00e7lar.<\/p>\n

Veritaban\u0131 B\u00f6l\u00fcmlemenin Tarih\u00e7esi<\/h2>\n

Veritaban\u0131 b\u00f6l\u00fcmleme kavram\u0131, 20. y\u00fczy\u0131l\u0131n sonlar\u0131nda, veritabanlar\u0131n\u0131n boyutu ve karma\u015f\u0131kl\u0131\u011f\u0131n\u0131n \u00f6nemli \u00f6l\u00e7\u00fcde artmaya ba\u015flamas\u0131yla ortaya \u00e7\u0131kt\u0131. \u0130\u015fletmelerin ve kurulu\u015flar\u0131n y\u00f6netmek zorunda oldu\u011fu veri miktar\u0131 katlanarak artt\u0131k\u00e7a, daha verimli veri y\u00f6netimi tekniklerine ihtiya\u00e7 duyuldu.<\/p>\n

Veritaban\u0131 b\u00f6l\u00fcmlendirmeye ili\u015fkin en eski referanslardan biri, SQL dilinin ve modern veritaban\u0131 sistemlerinin geli\u015ftirilmesinde \u00f6nemli bir etkiye sahip olan bir sistem olan IBM'in System R'sinde bulunur. Bu sistem, ba\u015flang\u0131\u00e7taki b\u00f6l\u00fcmleme konseptini i\u00e7eriyordu; bu daha sonra geli\u015ftirildi ve bug\u00fcn veritaban\u0131 b\u00f6l\u00fcmleme olarak bildi\u011fimiz \u015feye d\u00f6n\u00fc\u015ft\u00fc.<\/p>\n

Konuyu Geni\u015fletmek: Veritaban\u0131 B\u00f6l\u00fcmleme<\/h2>\n

Veritaban\u0131 b\u00f6l\u00fcmleme asl\u0131nda b\u00fcy\u00fck bir veritaban\u0131n\u0131 daha k\u00fc\u00e7\u00fck, daha y\u00f6netilebilir par\u00e7alara b\u00f6len bir tekniktir. Bu par\u00e7alar\u0131n veya b\u00f6l\u00fcmlerin her birine ba\u011f\u0131ms\u0131z olarak eri\u015filebilir ve y\u00f6netilebilir. B\u00f6l\u00fcmleme, de\u011fer aral\u0131\u011f\u0131na, de\u011ferler listesine veya karma i\u015flevine dayal\u0131 olmak \u00fczere \u00e7e\u015fitli yollarla yap\u0131labilir.<\/p>\n

B\u00f6l\u00fcmleme, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli sistemler i\u00e7in veritaban\u0131 performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Sistem, veritaban\u0131n\u0131 par\u00e7alayarak daha az veri taramas\u0131 gerekti\u011finden sorgular\u0131 daha h\u0131zl\u0131 i\u015fleyebilir. B\u00f6l\u00fcmlendirme ayr\u0131ca da\u011f\u0131t\u0131lm\u0131\u015f veritaban\u0131 sistemlerindeki y\u00fck\u00fcn dengelenmesine yard\u0131mc\u0131 olarak onlar\u0131 daha verimli ve g\u00fcvenilir hale getirir.<\/p>\n

Veritaban\u0131 B\u00f6l\u00fcmlemenin \u0130\u00e7 Yap\u0131s\u0131 ve \u0130\u015fleyi\u015fi<\/h2>\n

B\u00f6l\u00fcmlenmi\u015f bir veritaban\u0131nda veriler, de\u011fer aral\u0131\u011f\u0131 (aral\u0131k b\u00f6l\u00fcmleme), de\u011ferler listesi (liste b\u00f6l\u00fcmleme), karma i\u015flevi (karma b\u00f6l\u00fcmleme) veya bunlar\u0131n bir kombinasyonu (bile\u015fik) gibi belirli kriterlere dayal\u0131 olarak mant\u0131ksal alt k\u00fcmelere b\u00f6l\u00fcn\u00fcr. b\u00f6l\u00fcmleme).<\/p>\n

Her b\u00f6l\u00fcm di\u011ferlerinden ba\u011f\u0131ms\u0131z olarak \u00e7al\u0131\u015f\u0131r; bu, bir b\u00f6l\u00fcmdeki i\u015flemlerin di\u011ferlerini etkilemedi\u011fi anlam\u0131na gelir. Bu b\u00f6l\u00fcm, sorgular\u0131n ve i\u015flemlerin paralel y\u00fcr\u00fct\u00fclmesine olanak tan\u0131yarak performans\u0131 art\u0131r\u0131r. \u00dcstelik her b\u00f6l\u00fcm farkl\u0131 bir fiziksel konuma yerle\u015ftirilebilir, bu da eri\u015fim h\u0131z\u0131n\u0131 ve performans\u0131n\u0131 daha da art\u0131r\u0131r.<\/p>\n

Veritaban\u0131 B\u00f6l\u00fcmlendirmenin Temel \u00d6zelliklerinin Analizi<\/h2>\n

Veritaban\u0131 b\u00f6l\u00fcmlemenin temel \u00f6zellikleri \u015funlar\u0131 i\u00e7erir:<\/p>\n

    \n
  1. Geli\u015ftirilmi\u015f Performans<\/strong>: Veriler daha k\u00fc\u00e7\u00fck alt k\u00fcmelere b\u00f6l\u00fcnd\u00fck\u00e7e, veritaban\u0131 sorgular\u0131 yaln\u0131zca ilgili b\u00f6l\u00fcmleri taramalar\u0131 gerekti\u011finden daha verimli \u00e7al\u0131\u015fabilir.<\/li>\n
  2. Geli\u015fmi\u015f \u00d6l\u00e7eklenebilirlik<\/strong>: Veritaban\u0131 b\u00f6l\u00fcmleme yatay \u00f6l\u00e7eklenebilirli\u011fe olanak sa\u011flar. Veriler b\u00fcy\u00fcd\u00fck\u00e7e performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde etkilemeden ek b\u00f6l\u00fcmler eklenebilir.<\/li>\n
  3. Y\u00f6netim Kolayl\u0131\u011f\u0131<\/strong>: Her b\u00f6l\u00fcm ba\u011f\u0131ms\u0131z olarak y\u00f6netilebilir ve bak\u0131m\u0131 yap\u0131labilir, b\u00f6ylece veri y\u00f6netimi g\u00f6revleri daha kolay y\u00f6netilebilir hale gelir.<\/li>\n
  4. Daha \u0130yi Kullan\u0131labilirlik ve Kurtarma<\/strong>: Bir b\u00f6l\u00fcm ba\u015far\u0131s\u0131z olursa yaln\u0131zca o b\u00f6l\u00fcmdeki veriler etkilenir. Di\u011fer b\u00f6l\u00fcmler kullan\u0131labilir durumda kal\u0131r ve kurtarma \u00e7abalar\u0131 yaln\u0131zca ba\u015far\u0131s\u0131z olan b\u00f6l\u00fcme odaklanabilir.<\/li>\n<\/ol>\n

    Veritaban\u0131 B\u00f6l\u00fcmleme T\u00fcrleri<\/h2>\n

    A\u015fa\u011f\u0131daki tabloda ba\u015fl\u0131ca veritaban\u0131 b\u00f6l\u00fcmleme t\u00fcrleri g\u00f6sterilmektedir:<\/p>\n\n\n\n\n\n\n\n\n
    B\u00f6l\u00fcmleme T\u00fcr\u00fc<\/th>\nTan\u0131m<\/th>\n<\/tr>\n<\/thead>\n
    Aral\u0131k B\u00f6l\u00fcmleme<\/td>\nVeriler bir de\u011fer aral\u0131\u011f\u0131na g\u00f6re b\u00f6l\u00fcmlendirilir. \u00d6rne\u011fin, m\u00fc\u015fteri verilerinin sakland\u0131\u011f\u0131 bir tablo ya\u015f aral\u0131klar\u0131na (0-18, 19-30, 31-50 vb.) g\u00f6re b\u00f6l\u00fcmlendirilebilir.<\/td>\n<\/tr>\n
    Liste B\u00f6l\u00fcmleme<\/td>\nVeriler \u00f6nceden tan\u0131mlanm\u0131\u015f bir de\u011ferler listesine g\u00f6re b\u00f6l\u00fcmlendirilir. M\u00fc\u015fterileri ikamet ettikleri \u00fclkeye g\u00f6re b\u00f6l\u00fcmlemek buna bir \u00f6rnek olabilir.<\/td>\n<\/tr>\n
    Karma B\u00f6l\u00fcmleme<\/td>\nVerileri b\u00f6l\u00fcmlemek i\u00e7in karma i\u015flevi kullan\u0131l\u0131r. Bu y\u00f6ntem, verileri \u00e7e\u015fitli b\u00f6l\u00fcmlere e\u015fit olarak da\u011f\u0131t\u0131r ve y\u00fck dengelemeyi sa\u011flamak i\u00e7in idealdir.<\/td>\n<\/tr>\n
    Kompozit B\u00f6l\u00fcmleme<\/td>\nBu, birden fazla b\u00f6l\u00fcmleme y\u00f6nteminin kullan\u0131lmas\u0131n\u0131 i\u00e7erir. \u00d6rne\u011fin, aral\u0131k listesi b\u00f6l\u00fcmleme, verileri \u00f6nce ya\u015f aral\u0131\u011f\u0131na, ard\u0131ndan \u00fclkeye g\u00f6re b\u00f6l\u00fcmlendirebilir.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Veritaban\u0131 B\u00f6l\u00fcmlendirmeyi Kullanma: Sorunlar ve \u00c7\u00f6z\u00fcmler<\/h2>\n

    Veritaban\u0131 b\u00f6l\u00fcmlemenin bir\u00e7ok faydas\u0131 olsa da baz\u0131 karma\u015f\u0131kl\u0131klar\u0131 da beraberinde getirebilir. Her ikisi de performans\u0131 olumsuz etkileyebilecek a\u015f\u0131r\u0131 b\u00f6l\u00fcmleme veya eksik b\u00f6l\u00fcmlemeyi \u00f6nlemek i\u00e7in b\u00f6l\u00fcmleme kriterlerinin dikkatli bir \u015fekilde se\u00e7ilmesi gerekir.<\/p>\n

    Ek olarak, veritaban\u0131 b\u00f6l\u00fcmleme ayn\u0131 anda birden fazla b\u00f6l\u00fcmde \u00e7al\u0131\u015fmas\u0131 gereken i\u015flemleri karma\u015f\u0131kla\u015ft\u0131rabilir. Bu, uygulama kodunun karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 art\u0131rabilir ve b\u00f6l\u00fcmlemenin faydalar\u0131n\u0131 azaltabilir.<\/p>\n

    Ancak dikkatli planlama ve tasar\u0131mla bu sorunlar azalt\u0131labilir. \u00d6nemli olan, verileri ve kullan\u0131m kal\u0131plar\u0131n\u0131 iyice anlamak ve \u00f6zel gereksinimlere en uygun b\u00f6l\u00fcmleme stratejisini se\u00e7mektir.<\/p>\n

    Benzer Kavramlarla Kar\u015f\u0131la\u015ft\u0131rma<\/h2>\n\n\n\n\n\n\n\n
    Terim<\/th>\nTan\u0131m<\/th>\nB\u00f6l\u00fcmlendirme ile ili\u015fkisi nedir?<\/th>\n<\/tr>\n<\/thead>\n
    Par\u00e7alama<\/td>\nVerilerin birden \u00e7ok veritaban\u0131na, genellikle de birden \u00e7ok makineye b\u00f6l\u00fcnd\u00fc\u011f\u00fc bir t\u00fcr veritaban\u0131 b\u00f6l\u00fcmleme.<\/td>\nPar\u00e7alama, bir t\u00fcr yatay b\u00f6l\u00fcmleme olarak d\u00fc\u015f\u00fcn\u00fclebilir. Y\u00fck\u00fcn yay\u0131lmas\u0131na yard\u0131mc\u0131 olur ve b\u00f6l\u00fcmlemeye benzer \u015fekilde \u00f6l\u00e7eklenebilirli\u011fi art\u0131r\u0131r.<\/td>\n<\/tr>\n
    \u00c7o\u011faltma<\/td>\nVeri kullan\u0131labilirli\u011fini ve dayan\u0131kl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flamak i\u00e7in verileri birden fazla veritaban\u0131na kopyalama tekni\u011fi.<\/td>\n\u00c7o\u011faltma, veri kullan\u0131labilirli\u011fini art\u0131r\u0131r ve okuma i\u015flemlerinin y\u00fck dengelemesine izin verirken, b\u00f6l\u00fcmleme performans\u0131 art\u0131r\u0131r ve hem okuma hem de yazma i\u015flemleri i\u00e7in y\u00fck dengelemeye olanak tan\u0131r.<\/td>\n<\/tr>\n
    Federasyon<\/td>\nBirle\u015fik bir g\u00f6r\u00fcn\u00fcm sa\u011flamak i\u00e7in daha k\u00fc\u00e7\u00fck veritabanlar\u0131n\u0131 birbirine ba\u011flama tekni\u011fi.<\/td>\nFederasyon birden fazla veritaban\u0131na tek noktadan eri\u015fim sa\u011flarken b\u00f6l\u00fcmleme, tek bir veritaban\u0131n\u0131 y\u00f6netilebilir par\u00e7alara b\u00f6ler.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Veritaban\u0131 B\u00f6l\u00fcmlendirmeyle \u0130lgili Gelecek Perspektifleri ve Teknolojiler<\/h2>\n

    Veri hacmi ve karma\u015f\u0131kl\u0131\u011f\u0131 artt\u0131k\u00e7a veritaban\u0131 b\u00f6l\u00fcmleme \u00f6nemli bir rol oynamaya devam edecektir. Veritaban\u0131 sisteminin veri kullan\u0131m modellerine g\u00f6re b\u00f6l\u00fcmlemeyi otomatik olarak y\u00f6netti\u011fi otomatik b\u00f6l\u00fcmleme gibi tekniklerin pop\u00fclerlik kazanmas\u0131 muhtemeldir.<\/p>\n

    Dahas\u0131, bulut bili\u015fimin ve da\u011f\u0131t\u0131lm\u0131\u015f veritabanlar\u0131n\u0131n y\u00fckseli\u015fiyle birlikte, veri taban\u0131 b\u00f6l\u00fcmlendirmesi daha da \u00f6nemli hale gelecektir. Da\u011f\u0131t\u0131lm\u0131\u015f ve bulut ortamlar\u0131 i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f yeni b\u00f6l\u00fcmleme stratejilerinin ortaya \u00e7\u0131kmas\u0131 muhtemeldir.<\/p>\n

    Proxy Sunucular\u0131 ve Veritaban\u0131 B\u00f6l\u00fcmleme<\/h2>\n

    Bir proxy sunucusu, performans\u0131 ve g\u00fcvenli\u011fi art\u0131rmak i\u00e7in b\u00f6l\u00fcmlenmi\u015f bir veritaban\u0131yla el ele \u00e7al\u0131\u015fabilir. \u00d6rne\u011fin, istekleri farkl\u0131 veritaban\u0131 b\u00f6l\u00fcmlerine da\u011f\u0131tmak, y\u00fck\u00fc dengelemek ve genel sistem performans\u0131n\u0131 art\u0131rmak i\u00e7in bir proxy sunucusu kullan\u0131labilir.<\/p>\n

    Ayr\u0131ca proxy sunucular, b\u00f6l\u00fcmlenmi\u015f veritabanlar\u0131 i\u00e7in ek bir g\u00fcvenlik katman\u0131 sa\u011flayabilir. Farkl\u0131 b\u00f6l\u00fcmlere eri\u015fimi kontrol edebilir, b\u00f6ylece hassas verileri koruyabilirler.<\/p>\n

    \u0130lgili Ba\u011flant\u0131lar<\/h2>\n

    Veritaban\u0131 b\u00f6l\u00fcmleme hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 ziyaret edebilirsiniz:<\/p>\n

      \n
    1. Veritaban\u0131 B\u00f6l\u00fcmleme: Oracle<\/a><\/li>\n
    2. SQL Server'da Veritaban\u0131 B\u00f6l\u00fcmleme<\/a><\/li>\n
    3. PostgreSQL'de B\u00f6l\u00fcmlemeye Giri\u015f<\/a><\/li>\n
    4. Veritaban\u0131 B\u00f6l\u00fcmleme: MySQL<\/a><\/li>\n
    5. CJ Date'e g\u00f6re Veritaban\u0131 Sistemlerine Giri\u015f<\/a><\/li>\n
    6. Veritaban\u0131 Sistemi Kavramlar\u0131, Abraham Silberschatz, Henry F. Korth ve S. Sudarshan<\/a><\/li>\n<\/ol>\n

      Bu makale, veritaban\u0131 b\u00f6l\u00fcmlendirmenin, k\u00f6kenlerinin, yap\u0131s\u0131n\u0131n, temel \u00f6zelliklerinin, t\u00fcrlerinin ve proxy sunucularla birlikte nas\u0131l kullan\u0131labilece\u011finin kapsaml\u0131 bir \u015fekilde anla\u015f\u0131lmas\u0131n\u0131 sa\u011flar. Veritabanlar\u0131n\u0131n boyutu ve karma\u015f\u0131kl\u0131\u011f\u0131 b\u00fcy\u00fcmeye devam ettik\u00e7e, veritaban\u0131 b\u00f6l\u00fcmleme tekniklerinde ustala\u015fmak, veritaban\u0131 y\u00f6netiminde temel bir beceri olmaya devam edecektir.<\/p>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476736","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Database Partitioning: A Comprehensive Overview<\/mark>","faq_items":[{"question":"What is Database Partitioning?","answer":"

      Database partitioning is a technique of dividing a large database into smaller, more manageable parts, or partitions, that can be stored, processed, and accessed individually. This is done to enhance database performance, simplify management, and improve scalability.<\/p>"},{"question":"When was Database Partitioning introduced?","answer":"

      The concept of database partitioning came into being in the late 20th century as a response to the exponential growth of data. One of its early implementations is found in IBM\u2019s System R, a system that significantly influenced the development of the SQL language and modern database systems.<\/p>"},{"question":"How does Database Partitioning work?","answer":"

      Database partitioning divides data into logical subsets based on specific criteria like range of values, list of values, or a hash function. Each partition functions independently, allowing for parallel execution of queries and operations. Moreover, each partition can be located on a different physical location, further improving access speed and performance.<\/p>"},{"question":"What are the key features of Database Partitioning?","answer":"

      The key features of database partitioning include improved performance, enhanced scalability, ease of management, and better availability and recovery. By splitting data into smaller subsets, database queries can run more efficiently. Also, partitioning allows for horizontal scalability and independent management of each partition.<\/p>"},{"question":"What are the types of Database Partitioning?","answer":"

      There are four major types of database partitioning: range partitioning (based on a range of values), list partitioning (based on a predefined list of values), hash partitioning (using a hash function), and composite partitioning (a combination of these methods).<\/p>"},{"question":"What are some potential problems with Database Partitioning and how can they be solved?","answer":"

      Potential problems with database partitioning include the risk of over-partitioning or under-partitioning and increased complexity of transactions involving multiple partitions. These issues can be mitigated through careful planning and design, understanding the data and usage patterns thoroughly, and choosing the appropriate partitioning strategy.<\/p>"},{"question":"How is Database Partitioning related to Proxy Servers?","answer":"

      A proxy server can work together with a partitioned database to enhance performance and security. For instance, a proxy server can distribute requests to different database partitions, balancing the load and increasing the overall system performance. Furthermore, proxy servers can control access to different partitions, thereby enhancing the security of sensitive data.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476736","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476736\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476736"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}