Connection Pool and Thread Pool are essential components in improving the performance of applications. However, many developers tend to overlook the significance of configuring these pools optimally, often relying on default settings. In reality, the configuration of these pools plays a crucial role in performance tuning. In this post, we will explore the dependency between connection pool and thread pool settings and discuss how to achieve optimal performance through proper configuration.

The primary factor influencing the relationship between these two pool settings is the maximum attribute. Let’s consider a scenario where your database can support a maximum of 50 connections. Configuring the connection pool’s maximum attribute as 50 seems straightforward. However, it’s important to understand how this setting impacts the thread pool. Suppose you set the application server’s thread pool maximum attribute to 100. In this case, the application server allows 100 requests to be processed simultaneously, while the database can only handle 50 connections. As a result, only 50 threads will obtain a database connection, while the remaining 50 threads will contend for the limited connections. This frequent switching of connections between threads will inevitably slow down the overall application performance.

Now, let’s assume we set the thread pool maximum setting to match the connection pool maximum of 50. The application server will allow 50 threads to be processed simultaneously, with the remaining threads in a wait state. All 50 threads will obtain database connections immediately, resulting in faster processing times.

It’s important to note that the previous example assumed each thread utilized only one database connection (or potentially multiple connections sequentially). However, if your application utilizes multiple database connections in parallel for each thread, it’s recommended to configure the thread pool maximum setting as half of the connection pool maximum.

It’s crucial to strike the right balance when configuring the thread pool size. Setting the thread pool size excessively large can lead to performance problems. When there are too many concurrent threads, the overhead of task switching becomes a significant bottleneck.

To help you configure these pools effectively, here are some useful tips:

  1. Perform comprehensive performance tests to determine the optimal values for maximum threads and maximum connections.
  2. Set the initial capacity value equivalent to the maximum capacity. This ensures that the pools are ready to handle the anticipated workload from the start.

By following these guidelines, you can fine-tune your connection pool and thread pool configurations to enhance the performance of your applications. Remember that optimal configuration plays a vital role in achieving efficient resource utilization and delivering a high-performance user experience.

5 responses to “Connection Pool vs. Thread Pool Settings”

  1. kalyan

    Excellent explanation, Thanks a lot.

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  4. Matthew Felzani

    i think it’s important to note that the above info needs to be evaluated in the context of how much db demand your system has. in most systems the DB interaction is a very small portion of the execution — so the thread will do many other things. so part of the tuning exercise is to understand the relative demand of the thread on the db. for example, in the “100 threads / 50 connections” example you may have identical performance results with just 5 connections if the overall db demand of the system is small.

  5. Rajat

    Is there an approach\calculator to define initial values for Thread Pool\Connection pool values for an all new application . How to identify initial set of value to start with baseline tests . Any relation with server resources OR OS limits .

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I’m Venkat

A passionate software engineer with over 20 years of experience in the tech industry. Welcome to my digital playground where I share my journey through the ever-evolving world of software development and cloud technologies!