What role does the JDBC API play in connection pooling?

  • Deals with servlet lifecycle
  • Handles SQL queries
  • Manages database connections
  • Provides database authentication
The JDBC API is responsible for managing database connections in connection pooling, ensuring efficient utilization and reuse of connections in a database-driven application.

How does a servlet container typically interact with a connection pool?

  • It delegates management to the application.
  • It directly manages the pool.
  • It doesn't interact with connection pools.
  • It relies on the database server for connection management.
In a typical scenario, a servlet container directly manages the connection pool, ensuring efficient utilization and management of database connections within the application.

During peak usage, a web application's response time degrades significantly. Which connection pool setting should be investigated?

  • Connection Timeout
  • Max Connections Per Partition
  • Min Pool Size
  • Partition Count
To address degraded response time during peak usage, investigate the Max Connections Per Partition setting, which controls the maximum number of connections allowed in each partition.

What is the primary advantage of using a PreparedStatement in JDBC?

  • PreparedStatements are faster than Statement objects.
  • PreparedStatements are used for executing stored procedures.
  • PreparedStatements help prevent SQL injection attacks.
  • PreparedStatements require a connection pool.
PreparedStatements are precompiled SQL statements that are faster than Statement objects, providing better performance in JDBC operations.

What is a common strategy for handling the situation when all connections in the pool are in use?

  • Automatically create more connections
  • Ignore the situation
  • Terminate the application
  • Wait for a connection to become available
Waiting for a connection to become available is a common strategy, ensuring that the application doesn't crash when all connections in the pool are in use.

What is the impact of setting a very high or very low size for the connection pool?

  • Both high and low sizes have a negative impact on performance.
  • High size can lead to resource wastage, while low size may cause performance issues.
  • High size improves performance, but low size reduces resource usage.
  • Setting size doesn't affect performance.
Setting a very high size for the connection pool can lead to resource wastage, while a very low size may cause performance issues. It's essential to find an optimal size to balance performance and resource usage effectively.

How can stale or broken database connections in the pool be handled effectively?

  • By ignoring them and letting the database manage it.
  • By logging the issue and continuing to use the connection.
  • By notifying the database administrator.
  • By removing them from the pool and establishing new connections.
Stale or broken database connections in the pool can be handled effectively by removing them from the pool and establishing new connections. This helps maintain a reliable and efficient connection pool for the servlet container.

In connection pooling, the pool size is defined by the _________ and _________ parameters.

  • initialConnections, maxConnections
  • initialSize, maxSize
  • minConnections, maxConnections
  • minSize, maxSize
In connection pooling, the pool size is defined by the initialSize and maxSize parameters.

The process of retrieving a connection from the pool, using it, and then returning it is known as _________.

  • Connection Fetching
  • Connection Recycling
  • Connection Recycling
  • Connection Releasing
The process of retrieving a connection from the pool, using it, and then returning it is known as Connection Fetching.

To ensure efficient use of database connections, pools use a technique called _________.

  • Connection Caching
  • Connection Optimization
  • Connection Pooling
  • Connection Recycling
To ensure efficient use of database connections, pools use a technique called Connection Pooling.