Object–relational mapping: Difference between revisions

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{{short description|Programming technique}}
{{Distinguish|Object–role modeling}}
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'''Object–relational mapping''' ('''ORM''', '''O/RM''', and '''O/R mapping tool''') in [[computer science]] is a [[Computer programming|programming]] technique for converting data between a [[relational database]] and the [[Memory_managementMemory management#HEAP|heap]] of an [[object-oriented]] programming language. This creates, in effect, a virtual [[object database]] that can be used from within the programming language.
{{short description|Programming technique}}
'''Object–relational mapping''' ('''ORM''', '''O/RM''', and '''O/R mapping tool''') in [[computer science]] is a [[Computer programming|programming]] technique for converting data between a [[relational database]] and the [[Memory_management#HEAP|heap]] of an [[object-oriented]] programming language. This creates, in effect, a virtual [[object database]] that can be used from within the programming language.
 
In [[object-oriented programming]], [[data management|data-management]] tasks act on [[object (computer science)|object]]s that combine [[scalar (computing)|scalar]] values into objects. For example, consider an address book entry that represents a single person along with zero or more phone numbers and zero or more addresses. This could be modeled in an object-oriented implementation by a "Person [[Object (computer science)|object]]" with an [[attribute (computing)|attribute/field]] to hold each data item that the entry comprises: the person's name, a list of phone numbers, and a list of addresses. The list of phone numbers would itself contain "PhoneNumber objects" and so on. Each such address-book entry is treated as a single object by the programming language (it can be referenced by a single variable containing a pointer to the object, for instance). Various [[Method (computer programming)|methods]] can be associated with the object, such as methods to return the preferred phone number, the home address, and so on.
 
By contrast, relational databases, such as [[SQL]], group scalars into [[tuples]], which are then enumerated in [[Table (database)|tables]]. Tuples and objects have some general similarity, in that they are both ways to collect values into named fields such that the whole collection can be manipulated as a single compound entity. They have many differences, though, in particular: lifecycle management (row insertion and deletion, versus [[Garbage_collection_Garbage collection (computer_sciencecomputer science)|garbage collection]] or [[reference counting]]), references to other entities (object references, versus foreign key references), and inheritance (non-existent in relational databases). As well, objects are managed on-heap and are under full control of a single process, while database tuples are shared and must incorporate locking, merging, and retry. Object–relational mapping provides automated support for mapping tuples to objects and back, while accounting for all of these differences.<ref name="hibernate-orm-overview">
{{cite web |title=What is Object/Relational Mapping? |url=http://www.hibernate.org/about/orm |access-date=27 January 2022 |work=Hibernate Overview |publisher=JBOSS Hibernate |language=en-US}}
</ref>
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==Comparison with traditional data access techniques==
Compared to traditional techniques of exchange between an object-oriented language and a relational database, ORM often reduces the amount of code that needs to be written.<ref>Douglas Barry, Torsten Stanienda, "Solving the Java Object Storage Problem," Computer, vol. 31, no. 11, pp. 33-40, Nov. 1998, [https://www.computer.org/csdl/magazine/co/1998/11/ry033/13rRUxC0SRY. Excerpt at https://www.service-architecture.com/articles/object-relational-mapping/transparent-persistence-vs-jdbc-call-level-interface.html Lines of code using O/R are only a fraction of those needed for a call-level interface (1:4). ''For this exercise, 496 lines of code were needed using the ODMG Java Binding compared to 1,923 lines of code using JDBC.'']</ref>
 
Disadvantages of ORM tools generally stem from the high level of [[Database abstraction layer|abstraction]] obscuring what is actually happening in the implementation code. Also, heavy reliance on ORM software has been cited as a major factor in producing poorly designed databases.<ref>Josh Berkus, "Wrecking Your Database", Computer, Aug. 2009, https://www.toolbox.com/tech/data-management/blogs/wrecking-your-database-080509/</ref>