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The connection object obtained from the connection pool is often a wrapper around the actual database connection. The wrapper understands its relationship with the pool, and hides the details of the pool from the application. For example, the wrapper object can implement a "close" method that can be called just like the "close" method on the ...
A back-end database is a database that is accessed by users indirectly through an external application rather than by application programming stored within the database itself or by low level manipulation of the data (e.g. through SQL commands).
In software development, frontend refers to the presentation layer that users interact with, while backend involves the data management and processing behind the scenes. In the client–server model , the client is usually considered the frontend, handling user-facing tasks, and the server is the backend, managing data and logic.
An OLE DB-ODBC bridge consists of an OLE DB Provider which uses the services of an ODBC driver to connect to a target database. This provider translates OLE DB method calls into ODBC function calls. Programmers usually use such a bridge when a given database lacks an OLE DB provider, but is accessible through an ODBC driver.
Type 2 that calls database vendor native library on a client side. This code then talks to database over the network. Type 3, the pure-java driver that talks with the server-side middleware that then talks to the database. Type 4, the pure-java driver that uses database native protocol.
BaaS providers offer different set of features and backend tools. [14] Some of the most common features include: Database management. Most BaaS solutions provide SQL and/or NoSQL database management services for applications. [15] Developers can store their app data without deploying and managing databases themselves.
Masked operations: database abstraction layers may limit the number of available database operations to a subset of those supported by the supported database backends. In particular, database abstraction layers may not fully support database backend-specific optimizations or debugging features.
When connection pool configurations exceed these limits, issues such as rejected connections, throttling, or degraded performance can occur. Depending on how database limits are applied, overprovisioned connection pools can create significant resource contention as the server struggles to manage excessive simultaneous connections.