Java Connection Pooling Questions

1.What is save point?

2.Which among the four drivers is pure Java driver?

3.What is Connection Pooling ?

4.How differ servlet from its peer Technology?

5.What are the parameters used in Connection pooling?

6.What are the Normalization Rules? Define the Normalization?

9.What are batch updates.

10.How many JDBC drivers are there ?
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samir das mohapatra

  • Sep 5th, 2007
 

More than one user can share a single connection at a time it is the best use in the J2EE that is distributing architecture.

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gptnitesh

  • Sep 11th, 2007
 

Type 4 driver is a pure java driver because it completely eliminates the translation process. JDBC is Java based technology, and with the driver also written in Java, it can directly invoke the driver program as if it were any other Java program. This is the driver that all the J2EE applications use to interact with databases. Because this is a Java to Java interaction, this driver offers the best performance.

There are 4 types of drivers
1.JDBC-ODBC Bridge Driver (Type1)
2.Partially native and partially java driver (Type2)
3.Intermediate database access Driver server (Type3)
4. Pure java Driver. (Type4)

MuraliKirshna Anugu

  • Oct 2nd, 2007
 

Connection sharing supported by the LDAP service provider is called connection pooling. When the instance is done with the connection or closed, Then the connection returned to Pool for future use.
Available for other resources.

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nuttyvarun

  • Feb 21st, 2008
 

Connection pooling is a technique of creating and managing a pool of connections that are ready for use by any thread that needs them, and generally leads to more predictable resource usage under load.

Connection pooling greatly increases the performance of applications, while reducing overall resource usage.

Database normalization, sometimes referred to as canonical synthesis, is a technique for designing relational database tables to minimize duplication of information and, in so doing, to safeguard the database against certain types of logical or structural problems, namely data anomalies.

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