What is the best way to cache and reuse immutable singleton objects in Java?

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I have a class representing a set of values that will be used as a key in maps.

This class is immutable and I want to make it a singleton for every distinct set of values, using the static factory pattern. The goal is to prevent identical objects from being created many (100+) times and to optimize the equals method.

I am looking for the best way to cache and reuse previous instances of this class. The first thing that pops to mind is a simple hashmap, but are there alternatives?

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There are two situations:

  • If the number of distinct objects is small and fixed, you should use an enum
    • They're not instantiatiable beyond the declared constants, and EnumMap is optimized for it
  • Otherwise, you can cache immutable instances as you planned:
    • If the values are indexable by numbers in a contiguous range, then an array can be used
      • This is how e.g. Integer cache instances in a given range for valueOf
    • Otherwise you can use some sort of Map

Depending on the usage pattern, you may choose to only cache, say, the last N instances, instead of all instances created so far. This is the approach used in e.g. re.compile in Python's regular expression module. If N is small enough (e.g. 5), then a simple array with a linear search may also work just fine.

For Map based solution, perhaps a useful implementation is java.util.LinkedHashMap, which allows you to enforce LRU-like policies if you @Override the removeEldestEntry.

There is also LRUMap from Apache Commons Collections that implement this policy more directly.

See also

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What you're trying to make sounds like an example of the Flyweight Pattern, so looking for references to that might help clarify your thinking.

Storing them in a map of some sort is indeed a common implementation.

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What do your objects look like? If your objects are fairly simple I think you should consider not caching them - object creation is usually quite fast. I think you should evaluate whether the possibly small performance boost is worth the added complexity and effort of a cache.