Detailed explanation of memory cache of Android image download framework UniversialImageLoader (3)

Source: Internet
Author: User

Detailed explanation of memory cache of Android image download framework UniversialImageLoader (3)

The previous two articles focus on disk caching. This article focuses on memory caching. I also want to explain the memory cache in two articles. In this article, we mainly focus on three categories,

MemoryCache, BaseMemoryCache, and LimitedMemoryCache.

First, let's take a look at the memory cache interface MemoryCache.

put(String key, Bitmap value);Bitmap get(String key);Bitmap remove(String key);Collection
 
   keys();void clear();
 

We can see from the above that the overall interface design is divided into five methods, 1. Store it to a real Bitmap. 2. Obtain Bitmap through the key. 3. Delete Bitmap with the key. 4. Obtain the set of all keys iteratively. 5. Clear the memory cache.


Next we will look at the abstract class BaseMemoryCache that implements the memory cache interface.

Like the previous article, we should start with variables first.

/** Stores not strong references to objects */private final Map
 
  > softMap = Collections.synchronizedMap(new HashMap
  
   >());
  
 

As mentioned, this variable is used to store non-strongly referenced objects.

Pay attention to the following methods in the pipeline.

@Overridepublic Bitmap get(String key) {Bitmap result = null;Reference
 
   reference = softMap.get(key);if (reference != null) {result = reference.get();}return result;}
 

Obtain the value Bitmap in the soft reference using the key.


Finally, let's take a look at the limited memory cache class LimitedMemoryCache. From the inheritance relationship, it is a further extension of BaseMemoryCache.

From the perspective of variables:

private static final int MAX_NORMAL_CACHE_SIZE_IN_MB = 16;private static final int MAX_NORMAL_CACHE_SIZE = MAX_NORMAL_CACHE_SIZE_IN_MB * 1024 * 1024;private final int sizeLimit;private final AtomicInteger cacheSize;private final List
 
   hardCache = Collections.synchronizedList(new LinkedList
  
   ());
  
 

From the definition of variables, this includes the Maximum Cache restrictions, the current cache size, and a set of strongly referenced objects.

Analyze the Object Storage Methods:

public boolean put(String key, Bitmap value) {boolean putSuccessfully = false;// Try to add value to hard cacheint valueSize = getSize(value);int sizeLimit = getSizeLimit();int curCacheSize = cacheSize.get();if (valueSize < sizeLimit) {while (curCacheSize + valueSize > sizeLimit) {Bitmap removedValue = removeNext();if (hardCache.remove(removedValue)) {curCacheSize = cacheSize.addAndGet(-getSize(removedValue));}}hardCache.add(value);cacheSize.addAndGet(valueSize);putSuccessfully = true;}// Add value to soft cachesuper.put(key, value);return putSuccessfully;}

Obviously, when caching an image, you must first determine whether the size of the current image exceeds the size limit of the overall cache memory. If this parameter is exceeded, first Delete the image to be deleted first according to different policies. If this parameter is appropriate, insert the current image. If not, continue iteration.


OK. The first article about the image memory cache is described here, and the analysis will continue later. Hope to help you ~




Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.