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The final release date of the JPA 1.0 specification was 11 May 2006 as part of Java Community Process JSR 220. The JPA 2.0 specification was released 10 December 2009 (the Java EE 6 platform requires JPA 2.0 [2]). The JPA 2.1 specification was released 22 April 2013 (the Java EE 7 platform requires JPA 2.1 [3]). The JPA 2.2 specification was ...
[2]: 289–293 Lazy loading is the default as of Hibernate 3. Related objects can be configured to cascade operations from one object to the other. For example, a parent Album class object can be configured to cascade its save and delete operations to its child Track class objects.
Restricted Delete - the user cannot delete the target row until all rows that point to it (via foreign keys) have been deleted. This means that all Housewares ...
BEA Systems acquired SolarMetric in 2005, where Kodo was expanded to be an implementation of both the JDO (JSR 12) [2] and JPA (JSR 220) [3] specifications. In 2006, BEA donated a large part of the Kodo source code to the Apache Software Foundation under the name OpenJPA.
Cascading can be implemented in terms of chaining by having the methods return the target object (receiver, this, self).However, this requires that the method be implemented this way already – or the original object be wrapped in another object that does this – and that the method not return some other, potentially useful value (or nothing if that would be more appropriate, as in setters).
Cascading deletion, a way to handle deletions in database systems Cascading Style Sheets (CSS), style sheet language used in markup languages like HTML Method cascading , in object-oriented languages
JPA may refer to: Jacksonville Port Authority; Jakarta Persistence API, a Java programming language API; Jacques Potdevin et Associés, a french accounting firm and ...
Cascading is a software abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM -based language ( Java , JRuby , Clojure , etc.), hiding the underlying complexity of MapReduce jobs.