{"id":476664,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:11","modified_gmt":"2023-09-05T11:13:11","slug":"data-manipulation-language","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-manipulation-language\/","title":{"rendered":"Veri i\u015fleme dili"},"content":{"rendered":"<p>Veri \u0130\u015fleme Dili (DML), bir veritaban\u0131ndaki verileri almak, eklemek, de\u011fi\u015ftirmek ve silmek i\u00e7in kullan\u0131lan SQL&#039;in (Yap\u0131land\u0131r\u0131lm\u0131\u015f Sorgu Dili) bir alt k\u00fcmesidir. DML&#039;nin temel amac\u0131, yap\u0131land\u0131r\u0131lm\u0131\u015f bir veritaban\u0131 ortam\u0131ndaki verileri i\u015flemek i\u00e7in esnek ve etkili bir yol sa\u011flamakt\u0131r.<\/p>\n<h2>Veri \u0130\u015fleme Dilinin Tarihi ve Evrimi<\/h2>\n<p>Veri Manip\u00fclasyon Dili, 1970&#039;lerde SQL&#039;in geli\u015ftirilmesinden kaynaklanm\u0131\u015ft\u0131r. SQL, IBM&#039;de Raymond F. Boyce ve Donald D. Chamberlin taraf\u0131ndan olu\u015fturuldu. DML&#039;yi ilk kez 1974&#039;te &quot;SEQUEL: Yap\u0131land\u0131r\u0131lm\u0131\u015f \u0130ngilizce Sorgu Dili&quot; adl\u0131 makaleyle SQL dilinin bir par\u00e7as\u0131 olarak tan\u0131tt\u0131lar. Zamanla DML geli\u015fti ve \u00e7e\u015fitli veritaban\u0131 y\u00f6netim sistemlerinde (DBMS) geni\u015f \u00e7apta benimsenerek ANSI ve ISO SQL standartlar\u0131n\u0131n standart bir par\u00e7as\u0131 haline geldi.<\/p>\n<h2>Veri Manip\u00fclasyon Diline Derinlemesine Bir Bak\u0131\u015f<\/h2>\n<p>DML komutlar\u0131 SQL&#039;in kalbinde yer al\u0131r ve kullan\u0131c\u0131lar\u0131n veritabanlar\u0131nda depolanan verileri de\u011fi\u015ftirmesine olanak tan\u0131r. DML&#039;deki d\u00f6rt ana komut \u015funlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li><strong>SE\u00c7ME<\/strong>: Veritaban\u0131ndaki bir veya daha fazla tablodan veri sorgulamak ve almak i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li><strong>SOKMAK<\/strong>: Tabloya yeni kay\u0131tlar ekler.<\/li>\n<li><strong>G\u00dcNCELLEME<\/strong>: Bir tablodaki mevcut kay\u0131tlar\u0131 de\u011fi\u015ftirir.<\/li>\n<li><strong>S\u0130LMEK<\/strong>: Tablodaki kay\u0131tlar\u0131 kald\u0131r\u0131r.<\/li>\n<\/ol>\n<p>Bu komutlar\u0131n, \u00f6zellikle UPDATE ve DELETE&#039;in, bir veritaban\u0131ndaki verileri \u00f6nemli \u00f6l\u00e7\u00fcde de\u011fi\u015ftirebilece\u011fini anlamak \u00e7ok \u00f6nemlidir. Bu nedenle bu t\u00fcr komutlar\u0131 dikkatli bir \u015fekilde y\u00fcr\u00fctmek en iyi uygulamad\u0131r.<\/p>\n<h2>Veri \u0130\u015fleme Dilinin \u0130\u00e7 \u00c7al\u0131\u015fmalar\u0131<\/h2>\n<p>Temel d\u00fczeyde DML, bir veritaban\u0131 y\u00f6netim sistemine komutlar g\u00f6ndererek \u00e7al\u0131\u015f\u0131r. DBMS bu komutlar\u0131 yorumlar, veriler \u00fczerinde istenen i\u015flemleri ger\u00e7ekle\u015ftirir ve istenen verileri kullan\u0131c\u0131ya d\u00f6nd\u00fcr\u00fcr. DBMS, veri eri\u015fimi ve depolaman\u0131n t\u00fcm karma\u015f\u0131kl\u0131klar\u0131n\u0131 y\u00f6neterek kullan\u0131c\u0131lar\u0131n nispeten basit komutlar kullanarak verilerle etkile\u015fimde bulunmas\u0131n\u0131 m\u00fcmk\u00fcn k\u0131lar.<\/p>\n<p>Y\u00fcr\u00fctme a\u00e7\u0131s\u0131ndan, veritaban\u0131 sistemi bir DML komutunu iki a\u015famada i\u015fler:<\/p>\n<ol>\n<li><strong>Derleme zaman\u0131<\/strong>: SQL ifadesinin s\u00f6z dizimi kontrol edilir.<\/li>\n<li><strong>\u00c7al\u0131\u015fma s\u00fcresi<\/strong>: Veritaban\u0131 sistemi SQL ifadesini \u00e7al\u0131\u015ft\u0131r\u0131r ve veri i\u015flemlerini ger\u00e7ekle\u015ftirir.<\/li>\n<\/ol>\n<h2>Veri \u0130\u015fleme Dilinin Temel \u00d6zellikleri<\/h2>\n<p>DML&#039;nin kritik \u00f6zelliklerinden baz\u0131lar\u0131 \u015funlard\u0131r:<\/p>\n<ul>\n<li><strong>Basitlik<\/strong>: DML komutlar\u0131 basit ve anla\u015f\u0131lmas\u0131 kolayd\u0131r.<\/li>\n<li><strong>Esneklik<\/strong>: DML, hem kay\u0131t hem de ayar d\u00fczeylerinde veri manip\u00fclasyonuna izin verir.<\/li>\n<li><strong>G\u00fc\u00e7l\u00fc Veri \u0130\u015fleme<\/strong>: DML b\u00fcy\u00fck miktarda veriyi verimli bir \u015fekilde i\u015fleyebilir.<\/li>\n<li><strong>Veri tutarl\u0131l\u0131\u011f\u0131<\/strong>: DML, veri taban\u0131 i\u00e7indeki verilerin b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc ve tutarl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flar.<\/li>\n<\/ul>\n<h2>Veri \u0130\u015fleme Dili T\u00fcrleri<\/h2>\n<p>\u0130ki t\u00fcr DML vard\u0131r:<\/p>\n<ol>\n<li><strong>Prosed\u00fcrel DML<\/strong>: Kullan\u0131c\u0131n\u0131n hangi verilere ihtiya\u00e7 duyuldu\u011funu ve bu verilerin nas\u0131l elde edilece\u011fini belirtmesini gerektirir.<\/li>\n<li><strong>Prosed\u00fcrel Olmayan DML<\/strong>: Kullan\u0131c\u0131n\u0131n, nas\u0131l elde edilece\u011fini belirtmeden hangi verinin gerekli oldu\u011funu belirtmesini gerektirir.<\/li>\n<\/ol>\n<p>A\u015fa\u011f\u0131daki tabloda iki t\u00fcr\u00fcn kar\u015f\u0131la\u015ft\u0131rmas\u0131 sunulmaktad\u0131r:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u00d6zellik<\/th>\n<th>Prosed\u00fcrel DML<\/th>\n<th>Prosed\u00fcrel Olmayan DML<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Kullan\u0131m kolayl\u0131\u011f\u0131<\/td>\n<td>Verilerin nas\u0131l sakland\u0131\u011f\u0131na dair bilgi gerektirir<\/td>\n<td>Kullan\u0131c\u0131lar i\u00e7in daha kolayd\u0131r, yaln\u0131zca hangi verilere ihtiya\u00e7 duyuldu\u011funa dair bilgi gerektirir<\/td>\n<\/tr>\n<tr>\n<td>Yeterlik<\/td>\n<td>Kullan\u0131c\u0131 sistemi daha spesifik olarak y\u00f6nlendirebildi\u011finden daha verimli olabilir<\/td>\n<td>Sistemin verileri alman\u0131n en iyi yolunu belirlemesi gerekti\u011finden daha az verimli olabilir<\/td>\n<\/tr>\n<tr>\n<td>\u00d6rnekler<\/td>\n<td>JOIN, WHERE ve di\u011fer benzer komutlarla kullan\u0131ld\u0131\u011f\u0131nda SQL<\/td>\n<td>Temel SELECT ifadeleriyle kullan\u0131ld\u0131\u011f\u0131nda SQL<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri \u0130\u015fleme Dilinin Kullan\u0131m\u0131, Sorunlar\u0131 ve \u00c7\u00f6z\u00fcmleri<\/h2>\n<p>DML, raporlar i\u00e7in basit veri al\u0131m\u0131ndan yaz\u0131l\u0131m uygulamalar\u0131 i\u00e7indeki karma\u015f\u0131k veri manip\u00fclasyonuna kadar \u00e7e\u015fitli uygulamalarda yayg\u0131n olarak kullan\u0131lmaktad\u0131r. Ancak DML&#039;nin uygunsuz kullan\u0131m\u0131 veri bozulmas\u0131na, veri kayb\u0131na ve performans sorunlar\u0131na neden olabilir.<\/p>\n<p>Bu sorunlar\u0131 azaltmak i\u00e7in en iyi uygulamalardan baz\u0131lar\u0131 \u015funlard\u0131r:<\/p>\n<ul>\n<li>Veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamak i\u00e7in i\u015flemleri kullanma.<\/li>\n<li>Yanl\u0131\u015fl\u0131kla veri kayb\u0131n\u0131 \u00f6nlemek i\u00e7in DELETE ve UPDATE komutlar\u0131n\u0131n kullan\u0131m\u0131n\u0131n s\u0131n\u0131rland\u0131r\u0131lmas\u0131.<\/li>\n<li>Veritaban\u0131n\u0131n d\u00fczenli olarak yedeklenmesi.<\/li>\n<li>DML komutlar\u0131n\u0131 kimlerin y\u00fcr\u00fctebilece\u011fini s\u0131n\u0131rlamak i\u00e7in uygun kullan\u0131c\u0131 izinlerinin uygulanmas\u0131.<\/li>\n<\/ul>\n<h2>Benzer Dillerle Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<p>SQL ve dolay\u0131s\u0131yla DML, veritaban\u0131 y\u00f6netiminde standart ara\u00e7lar haline gelirken, di\u011fer diller de veri i\u015fleme yetenekleri sa\u011flar. \u0130ki dikkate de\u011fer \u00f6rnek, XML veritabanlar\u0131 i\u00e7in XQuery ve RDF veritabanlar\u0131 i\u00e7in SPARQL&#039;dir.<\/p>\n<p>Bu diller SQL ve DML&#039;den farkl\u0131 bir oda\u011fa sahiptir; XQuery belge benzeri veri yap\u0131lar\u0131na, SPARQL ise anlamsal web verilerine odaklan\u0131r. Ancak DML&#039;de bulunan SELECT, INSERT, UPDATE ve DELETE komutlar\u0131na benzer yetenekler sa\u011flarlar.<\/p>\n<h2>Veri \u0130\u015fleme Dilinin Gelecekteki Beklentileri<\/h2>\n<p>Veritabanlar\u0131 bilgi teknolojisinin temel ta\u015f\u0131 olmaya devam ettik\u00e7e DML&#039;nin \u00f6nemi de \u00f6nemini koruyacakt\u0131r. NoSQL veritabanlar\u0131 ve B\u00fcy\u00fck Veri platformlar\u0131 gibi geli\u015fmeler yeni zorluklar ve f\u0131rsatlar yaratt\u0131. DML&#039;nin evrimi veya bu zorluklar\u0131n \u00fcstesinden gelmek i\u00e7in yeni veri i\u015fleme dillerinin geli\u015ftirilmesi, izlenmesi b\u00fcy\u00fcleyici bir alan olacakt\u0131r.<\/p>\n<h2>Proxy Sunucular\u0131n ve Veri \u0130\u015fleme Dilinin Kesi\u015fimi<\/h2>\n<p>Proxy sunucusu, di\u011fer sunuculardan kaynak arayan bir istemci aras\u0131nda arac\u0131 g\u00f6revi g\u00f6r\u00fcr. Proxy sunucular\u0131 do\u011fas\u0131 gere\u011fi DML ile etkile\u015fime girmese de, veritaban\u0131 isteklerinin y\u00f6netilmesinde ve g\u00fcvenli\u011fin ve anonimli\u011fin korunmas\u0131nda rol oynayabilirler.<\/p>\n<p>\u00d6rne\u011fin, bir proxy sunucusu, birden fazla veritaban\u0131ndaki DML isteklerinin y\u00fck\u00fcn\u00fc dengeleyecek ve performans\u0131 art\u0131racak \u015fekilde yap\u0131land\u0131r\u0131labilir. Ek olarak, veritaban\u0131 isteklerinin bir proxy sunucu arac\u0131l\u0131\u011f\u0131yla y\u00f6nlendirilmesiyle, veri i\u015fleme s\u00fcrecine ekstra bir anonimlik ve g\u00fcvenlik katman\u0131 eklenir ve k\u00f6t\u00fc niyetli veri manip\u00fclasyonu riski azalt\u0131l\u0131r.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.w3schools.com\/sql\/default.asp\" target=\"_new\" rel=\"noopener nofollow\">W3Schools&#039;tan SQL E\u011fitimi<\/a><\/li>\n<li><a href=\"https:\/\/www.dataversity.net\/sql-foundation-data-manipulation\/\" target=\"_new\" rel=\"noopener nofollow\">SQL: Veri \u0130\u015flemenin Temeli<\/a><\/li>\n<li><a href=\"https:\/\/docs.oracle.com\/cd\/B19306_01\/server.102\/b14200\/statements_10002.htm\" target=\"_new\" rel=\"noopener nofollow\">Oracle&#039;dan Veri \u0130\u015fleme Dili<\/a><\/li>\n<\/ul>\n<p>DML&#039;yi anlayarak ve do\u011fru \u015fekilde kullanarak, giderek veri odakl\u0131 d\u00fcnyam\u0131zda kritik bir beceri olan yap\u0131land\u0131r\u0131lm\u0131\u015f bir veritaban\u0131 ortam\u0131ndaki verilerle etkili bir \u015fekilde etkile\u015fime girebilir ve bunlar\u0131 y\u00f6netebilirsiniz.<\/p>","protected":false},"featured_media":476665,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476664","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Manipulation Language: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Data Manipulation Language?","answer":"<p>Data Manipulation Language (DML) is a subset of SQL (Structured Query Language) used to retrieve, insert, modify, and delete data in a database. It is primarily designed to facilitate efficient and flexible manipulation of data within a structured database environment.<\/p>"},{"question":"What is the history of Data Manipulation Language?","answer":"<p>DML originated from the development of SQL in the 1970s by Raymond F. Boyce and Donald D. Chamberlin at IBM. They first introduced DML as part of the SQL language in a 1974 paper called \"SEQUEL: A Structured English Query Language\". Since then, DML has evolved and has been widely adopted in various database management systems (DBMS), becoming a standard part of ANSI and ISO SQL standards.<\/p>"},{"question":"What are the key features of Data Manipulation Language?","answer":"<p>Key features of DML include simplicity, flexibility, powerful data handling, and data consistency. DML commands are simple and easy to understand, allow data manipulation at both record and set levels, can efficiently handle a large volume of data, and ensure the integrity and consistency of the data within the database.<\/p>"},{"question":"What are the types of Data Manipulation Language?","answer":"<p>There are two types of DML: Procedural and Non-Procedural. Procedural DML requires a user to specify what data is needed and how to get it. In contrast, Non-Procedural DML requires a user to specify what data is needed without dictating how to get it.<\/p>"},{"question":"What problems can arise from using Data Manipulation Language, and how can they be solved?","answer":"<p>Improper use of DML can result in data corruption, data loss, and performance issues. These problems can be mitigated by using transactions to ensure data integrity, limiting the use of the DELETE and UPDATE commands to prevent accidental data loss, regularly backing up the database, and applying appropriate user permissions to limit who can execute DML commands.<\/p>"},{"question":"How are proxy servers associated with Data Manipulation Language?","answer":"<p>While proxy servers don't inherently interact with DML, they can be configured to manage database requests, thereby maintaining security and anonymity. For instance, a proxy server can balance the load of DML requests across multiple databases, improving performance. Additionally, by routing database requests through a proxy server, an extra layer of security and anonymity is added to the data manipulation process.<\/p>"},{"question":"What are the future prospects for Data Manipulation Language?","answer":"<p>As databases continue to be central to information technology, DML's relevance is expected to remain significant. With the advent of NoSQL databases and Big Data platforms, there are new challenges and opportunities for DML. The evolution of DML to handle these challenges, or the development of new data manipulation languages, is an area to watch in the future.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476664","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\/476664\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/476665"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476664"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}