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JDBC 3.0 versus JDBC 4.0

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JDBC 3.0 vs JDBC 4.0 - uma comparacao importante de temas que ajudara voce a entender qual e melhor para o seu caso. Confira a comparacao de JDBC 4.0 e JDBC 3.0 como perguntas comuns de entrevista.

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Diferenca entre JDBC 3.0 e JDBC 4.0

JDBC 3.0 vs JDBC 4.0 - uma comparacao importante de temas que ajudara voce a entender qual e melhor para o seu caso. Confira a comparacao de JDBC 4.0 e JDBC 3.0 como perguntas comuns de entrevista.

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JDBC 3.0 Interview Online Test	JDBC 4.0 Interview Online Test
Features: - Reusabilty of prepared statements by connection pools. - In this version there is number of properties defined for the ConnectionPoolDataSource. These properties can be used to describe how the PooledConnection objects created by DataSource objects should be pooled. - A new concept has been added to this API is of savepoints: One of the useful new features is transactional savepoints. With JDBC 3.0, the transactional model is now more flexible. - Retrieval of parameter metadata. - It has added a means of retrieving values from columns containing automatically generated values. - Added a new data type i.e. java.sql.BOOLEAN. - Passing parameters to CallableStatement. - The data in the Blob and Clob can be altered: JDBC 3.0 introduces a standard mechanism for updating BLOB and CLOB data. - DatabaseMetaData API has been added. - It allows stored procedure parameters to be called by name.	Features: - Auto- loading of JDBC driver class: In JDBC 4 invoking the getConnection() on DriverManager will automatically load a driver. - Connection management enhancements: In jdbc it may happen that a Connection is lying idle or not closed in a pool, then it became stale over time. This will led to the connection pool run out of resources due to stale connection. - Support for RowId data type: JDBC introduces support for ROWID, a data type that had been in use in database products even before it became part of the SQL. - SQL exception handling enhancements: JDBC 4 addresses the error handling beautifully. As databases are often remotely accessible resources, problems such as network failures is common and it can cause exceptions when executing a database operation. SQL statements can also cause exceptions. Prior to JDBC 4, most JDBC operations generated a simple SQLException. - SQL XML support. - DataSet implementation of SQL using Annotations: The JDBC 4.0 specification leverages annotations to allow developers to associate a SQL query with a Java class without a need to write a lot of code to achieve this association.

JDBC 3.0

Interview Online Test

JDBC 4.0

Interview Online Test

Features:
- Reusabilty of prepared statements by connection pools.
- In this version there is number of properties defined for the ConnectionPoolDataSource. These properties can be used to describe how the PooledConnection objects created by DataSource objects should be pooled.
- A new concept has been added to this API is of savepoints: One of the useful new features is transactional savepoints. With JDBC 3.0, the transactional model is now more flexible.
- Retrieval of parameter metadata.
- It has added a means of retrieving values from columns containing automatically generated values.
- Added a new data type i.e. java.sql.BOOLEAN.
- Passing parameters to CallableStatement.
- The data in the Blob and Clob can be altered: JDBC 3.0 introduces a standard mechanism for updating BLOB and CLOB data.
- DatabaseMetaData API has been added.
- It allows stored procedure parameters to be called by name.

Features:
- Auto- loading of JDBC driver class: In JDBC 4 invoking the getConnection() on DriverManager will automatically load a driver.
- Connection management enhancements: In jdbc it may happen that a Connection is lying idle or not closed in a pool, then it became stale over time. This will led to the connection pool run out of resources due to stale connection.
- Support for RowId data type: JDBC introduces support for ROWID, a data type that had been in use in database products even before it became part of the SQL.
- SQL exception handling enhancements: JDBC 4 addresses the error handling beautifully. As databases are often remotely accessible resources, problems such as network failures is common and it can cause exceptions when executing a database operation. SQL statements can also cause exceptions. Prior to JDBC 4, most JDBC operations generated a simple SQLException.
- SQL XML support.
- DataSet implementation of SQL using Annotations: The JDBC 4.0 specification leverages annotations to allow developers to associate a SQL query with a Java class without a need to write a lot of code to achieve this association.

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