c++objective-ccpointerscaching

Simple Cache Implementation in C


Why someone might implement a cache as

void DoSomethingWith(CGColorRef color)
{
    static CGColorRef cachedColor = NULL;
    static int cachedColorID = 0;

    if (color == cachedColor && color->colorID == cachedColorID)
    {
        UseCachedColorTransformations();
    }
    else
    {
        cachedColor = color;
        cachedColorID = color->colorID;
        CalculateColorTransformations();
        CacheColorTransformations();
    }
    ...
}

instead of merely comparing colorIDs?

void DoSomethingWith(CGColorRef color)
{
    static CGColorRef cachedColor = NULL;
    static int cachedColorID = 0;

    if (color->colorID == cachedColorID)
    {
        UseCachedColorTransformations();
    }
    else
    {
        cachedColor = color;
        cachedColorID = color->colorID;
        CalculateColorTransformations();
        CacheColorTransformations();
    }
    ...
}

Note that color->colorID value is an incremental value that starts from 1 and assigned thread safely (InterlockedIncrement from a Global counter) to colors at creation.

Global counter is not decremented when some color deleted and colors are not moved or copied in memory. So, each color has a unique colorID value, a colorID could be used by only one color at an address. Some color could be deleted and another one could be created at the same address so there will be a color with a different colorID at the same address which we could use to determine if its the same color or another one recreated at that address.

Thus, its not necessary to compare references, its enough to compare colorIDs; they are unique and identify exactly one color at it's unique address.


Solution

  • It uses a combination of both color pointer comparison and colorID comparison for caching. Here’s why the cache might be implemented using both methods rather than relying solely on colorID:

    1. Ensuring Color Identity Accuracy:

      • Pointer Comparison (cachedColor == color): This ensures that the color object in question is exactly the same instance in memory as the one currently cached. Since colors might have different properties but could theoretically end up with the same colorID if the colorID is reused (though unlikely), comparing the pointer guarantees that you are working with the exact same object.
      • colorID Comparison (color->colorID == cachedColorID): This ensures that the cached color corresponds to a color with the same unique identifier. This is generally faster than comparing pointers and useful for a quick check.
    2. Handling Color Reuse or Deletion:

      • Even though colorID is unique and incremented, if colors are deleted and new ones are created at the same memory address, the color ID alone might not guarantee the color instance’s identity. Using both comparisons ensures that if a new color is created with the same colorID but at a different address, it won’t falsely match the cached color. The pointer comparison ensures the exact memory location of the cached color is maintained.
    3. Robustness Against Memory Management Issues:

      • In a multi-threaded or complex system, memory might be managed in ways that could lead to scenarios where colorID alone isn’t sufficient to guarantee that a color at a given address is what you expect. By checking both the colorID and the pointer, you add a layer of safety to handle unexpected issues in memory management or color creation.
    4. Performance Trade-offs:

      • Pointer Comparison: This is generally more expensive than colorID comparison, but it provides a definitive answer about color identity.
      • colorID Comparison: This is faster but might not be sufficient alone if the same memory address is reused for different colors.

    In summary, the dual-check approach provides a robust mechanism for ensuring that the cached color data is accurate and current, despite potential complexities in color management or memory reuse. This is particularly important in systems where colors might be dynamically created, deleted, and reused, or in scenarios where the integrity of cached data is crucial for performance or correctness.