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In computer science, a bidirectional map is an associative data structure in which the (,) pairs form a one-to-one correspondence. Thus the binary relation is functional in each direction: each v a l u e {\displaystyle value} can also be mapped to a unique k e y {\displaystyle key} .
In computer science, bidirectionalization refers to the process of given a source-to-view transformation (automatically) finding a mapping from the original source and an updated view to an updated source.
Hibernate ORM (or simply Hibernate) is an object–relational mapping [2]: §1.2.2, [12] tool for the Java programming language. It provides a framework for mapping an object-oriented domain model to a relational database .
add a new (,) pair to the collection, mapping the key to its new value. Any existing mapping is overwritten. The arguments to this operation are the key and the value. Remove or delete remove a (,) pair from the collection, unmapping a given key from its value. The argument to this operation is the key.
NHibernate is a port of the Hibernate object–relational mapping (ORM) tool for the Microsoft .NET platform. It provides a framework for mapping an object-oriented domain model to a traditional relational database. Its purpose is to relieve the developer from a significant portion of relational data persistence-related programming tasks.
A Data Mapper is a Data Access Layer that performs bidirectional transfer of data between a persistent data store (often a relational database) and an in-memory data representation (the domain layer). The goal of the pattern is to keep the in-memory representation and the persistent data store independent of each other and the data mapper itself.
Spring was an early implementation of this idea and one of the driving forces behind popularizing this model. An example of an EJB bean being a POJO: Enterprise JavaBeans (EJB), Java Persistence API (JPA) (including Hibernate) CDI (Contexts and Dependency Injection for the Java EE platform)
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.