Not considering the impact of connection pooling on the application's memory footprint

The JDBC API is the standard that defines how databases are accessed by Java applications. An application configures a datasource that references a JDBC driver. 8 days ago ... Data source is a connection configuration. It stores a list of connection details that are used to establish connection to a database. Apr 9, 2024 ... Spring Boot offers multiple ways to configure DataSource including using application.properties or application.yml files of the Spring application. Jul 8, 2019 ... at org.springframework.jdbc.datasource.DataSourceUtils.getConnection(DataSourceUtils.java:82). at org.springframework.jdbc.core.JdbcTemplate ... Apr 3, 2017 ... DataSource is an abstraction, a way to represent getting access to data from some source with some connection. From looking at the configuration the vendor is using 'sqljdbc' as a module and has a dependency defined in 'jboss-deployment-structure.xml' inside WEB-INF. The ... I think I have worked out the problem with this: You are looking up java:comp/env - and you dont have any elements in your web.xml. I had a Database start shape which was populating data into a Data Changes shape (add, update, delete) and it kept returning a java.lang.NullPointerException ... Jan 14, 2025 ... First, the lookup determines whether there is a data source that matches the specified value, such as EmployeeDB . If the DataSource object ... A stream supports many operations such as filter, map, reduce, and iterate that can be combined to write concise and expressive data processing queries.

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what is datasource in java

• Assuming that the DataSource automatically handles database connection failover or recovery mechanisms
• Relying solely on application-level connection management instead of leveraging the DataSource's pooling capabilities
• How do connection pools work with different types of databases?
• Assuming that the DataSource automatically handles connection pooling for different database locking mechanisms (e.g., optimistic, pessimistic)
• How do you configure logging for a DataSource?
• Assuming that the DataSource automatically handles database performance tuning
• Using a DataSource in a way that hinders the application's ability to scale horizontally
• Not considering the impact of connection pooling on the application's resource consumption
• What happens if you don't close Connections obtained from a DataSource?
• Not properly configuring the DataSource to work with the features or changes introduced in different JDBC API versions