A lightweight partitioned object pool, you can use it to pool expensive objects like jdbc connections, thrift clients etc.
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FOP, a lightweight partitioned object pool, you can use it to pool expensive and non-thread-safe objects like thrift clients etc.

Why yet another object pool

FOP is implemented with partitions to avoid thread contention, the performance test shows it's much faster than Apache commons-pool. This project is not to replace Apache commons-pool, this project does not provide rich features like commons-pool, this project mainly aims on:

  1. Zero dependency
  2. High throughput with many concurrent requests
  3. Less code so everybody can read it and understand it.


First of all you need to create a FOP config:

PoolConfig config = new PoolConfig();
config.setMaxIdleMilliseconds(60 * 1000 * 5);

The code above means the pool will have at least 5x5=25 objects, at most 5x10=50 objects, if an object has not been used over 5 minutes it could be removed.

Then define how objects will be created and destroyed with ObjectFactory

ObjectFactory<StringBuilder> factory = new ObjectFactory<>() {
    @Override public StringBuilder create() {
        return new StringBuilder(); // create your object here
    @Override public void destroy(StringBuilder o) {
        // clean up and release resources
    @Override public boolean validate(StringBuilder o) {
        return true; // validate your object here

Now you can create your FOP pool and just use it

ObjectPool pool = new ObjectPool(config, factory);
try (Poolable<Connection> obj = pool.borrowObject()) {

If you want best performance, you need add disruptor queue to your dependency and use DisruptorObjectPool. Note, the DisruptorPool has not been fully tested in production yet.

Shut it down


How it works

The pool will create multiple partitions, in most cases a thread always access a specified partition, so the more partitions you have, the less probability you run into thread contentions. Each partition has a blocking queue to hold poolable objects; to borrow an object, the first object in the queue will be removed; returning an object will append that object to the end of the queue. The idea is from ConcurrentHashMap's segments design and BoneCP connection pool's partition design. This project started since 2013 and has been deployed to many projects without any problem.

How fast it is

The source contains a benchmark test, you can run it on your own machine. On my 2016 Macbook Pro, it's 20-40 times faster than commons-pool 2.2.

From the figure above you can see stormpot is the fastest, if you only borrow one object at a time per thread, you can use stormpot, apache commons pool is not suggested.

Maven dependency

To use this project, simply add this to your pom.xml


If you want disruptor object pool, add this optional dependency


JDK 8 is required. By default the debug messages are logged to JDK logger because one of the goals of this project is ZERO DEPENDENCY. However we have two optional dependencies, disruptor and SLF4j.