What is database pooling? - Stack Overflow
Oct 28, 2010 · 358 Database connection pooling is a method used to keep database connections open so they can be reused by others. Typically, opening a database connection is an …
postgresql - Confused about NpgSql connection pooling vs ...
Jul 16, 2024 · AddDbContextPool doesn't affect connection pooling. DbContext is a Unit-of-Work, not a database connection. Pooling them makes sense if you don't want to pay the (usually …
spring boot - Problems with Hibernate startup logging after …
2024-12-03T16:52:53.338+08:00 INFO 34784 --- [blog] [ restartedMain] org.hibernate.orm.connections.pooling : HHH10001005: Database info: Database JDBC URL …
database - Mule 4 DB Pooling Configuration - Stack Overflow
Apr 30, 2021 · Learn how to configure database connection pooling in Mule 4, including setting max and min pool sizes for dynamic data handling.
What's the difference between Conv layer and Pooling layer in CNN?
The pooling layer and the convolution layer are operations that are applied to each of the input "pixels". Let's take a pixel in the center of the image (to avoid to discuss what happens with …
C# Object Pooling Pattern implementation - Stack Overflow
Pooling in threaded environments is a recurring problem, solved by design patterns such as Resource Pool and Resource Cache. Check out Pattern-Oriented Software Architecture, …
Should I use Connection Pooling in AWS Lambda? - Stack Overflow
May 19, 2021 · Should you use connection pooling on your Lambda? In any case you see yourself using more than 1 connection concurrently at a time, then connection pooling is …
Postgres Npgsql Connection Pooling - Stack Overflow
Npgsql connection pooling is implemented inside your application process - it has nothing to do with PostgreSQL, which is completely unaware of it. The mechanism is very simple. When you …
What does GlobalAveragePooling1D do in keras? - Stack Overflow
Jan 10, 2023 · This tutorial uses pooling because it's the simplest. The GlobalAveragePooling1D layer returns a fixed-length output vector for each example by averaging over the sequence …
how to perform max/mean pooling on a 2d array using numpy
Given a 2D (M x N) matrix, and a 2D Kernel (K x L), how do i return a matrix that is the result of max or mean pooling using the given kernel over the image? I'd like to use numpy if possible.