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JPQL is used to make queries against entities stored in a relational database. It is heavily inspired by SQL, and its queries resemble SQL queries in syntax, [1]: 17, §1.3 but operate against JPA entity objects rather than directly with database tables. [1]: 26, §2.2.3
iBATIS 2.0 was released in June 2004. [5] It was a complete redesign while keeping the same features. Clinton donated the iBATIS name and code to Apache Software Foundation and the project stayed in the ASF for six years. Eventually iBATIS DAO was deprecated, considering that better DAO frameworks were available, such as Spring Framework.
NetBeans also supports the JSF 2.0 (Facelets), JavaServer Pages (JSP), Hibernate, Spring, and Struts frameworks, and the Java EE 5 and J2EE 1.4 platforms. It includes GlassFish and Apache Tomcat. Some of its features with Java EE include: Improved support for CDI, REST services and Java Persistence; New support for Bean Validation
Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.
One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. The first public version of the PL/SQL definition [2] was in 1995. It implements the ISO SQL/PSM standard. [3]
The SQL SELECT statement returns a result set of rows, from one or more tables. [1] [2] A SELECT statement retrieves zero or more rows from one or more database tables or database views. In most applications, SELECT is the most commonly used data manipulation language (DML) command.
Yahoo faz parte da família de marcas Yahoo. O Yahoo coletará e usará seus dados como parte dos serviços oferecidos, para entender seus interesses e oferecer e mensurar anúncios personalizados.
SQL Developer Data Modeler operates with and models metadata. [7] Prior to SQL Developer version 3, it constituted a separate (but integrated) free [8] counterpart of SQL Developer. As of SQL Developer version 3 modeling became an integrated part of the overall tool. "Data Modeler" can produce (among other outputs) .dmd files. [9] Data Miner [10]