本文整理汇总了Java中com.googlecode.concurrentlinkedhashmap.EntryWeigher类的典型用法代码示例。如果您正苦于以下问题：Java EntryWeigher类的具体用法？Java EntryWeigher怎么用？Java EntryWeigher使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
EntryWeigher类属于com.googlecode.concurrentlinkedhashmap包，在下文中一共展示了EntryWeigher类的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: create
import com.googlecode.concurrentlinkedhashmap.EntryWeigher; //导入依赖的package包/类
/**
* Initialize a cache with initial capacity with weightedCapacity
*/
public static <K extends IMeasurableMemory, V extends IMeasurableMemory> ConcurrentLinkedHashCache<K, V> create(long weightedCapacity, EntryWeigher<K, V> entryWeiger)
{
ConcurrentLinkedHashMap<K, V> map = new ConcurrentLinkedHashMap.Builder<K, V>()
.weigher(entryWeiger)
.maximumWeightedCapacity(weightedCapacity)
.concurrencyLevel(DEFAULT_CONCURENCY_LEVEL)
.build();
return new ConcurrentLinkedHashCache<K, V>(map);
}
示例2: create
import com.googlecode.concurrentlinkedhashmap.EntryWeigher; //导入依赖的package包/类
/**
* Initialize a cache with initial capacity with weightedCapacity
*/
public static <K extends IMeasurableMemory, V extends IMeasurableMemory> ConcurrentLinkedHashCache<K, V> create(long weightedCapacity, EntryWeigher<K, V> entryWeiger)
{
ConcurrentLinkedHashMap<K, V> map = new ConcurrentLinkedHashMap.Builder<K, V>()
.weigher(entryWeiger)
.maximumWeightedCapacity(weightedCapacity)
.concurrencyLevel(DEFAULT_CONCURENCY_LEVEL)
.build();
return new ConcurrentLinkedHashCache<>(map);
}
示例3: initKeyCache
import com.googlecode.concurrentlinkedhashmap.EntryWeigher; //导入依赖的package包/类
/**
* We can use Weighers.singleton() because Long can't be leaking memory
* @return auto saving cache object
*/
private AutoSavingCache<KeyCacheKey, RowIndexEntry> initKeyCache()
{
logger.info("Initializing key cache with capacity of {} MBs.", DatabaseDescriptor.getKeyCacheSizeInMB());
long keyCacheInMemoryCapacity = DatabaseDescriptor.getKeyCacheSizeInMB() * 1024 * 1024;
// as values are constant size we can use singleton weigher
// where 48 = 40 bytes (average size of the key) + 8 bytes (size of value)
ICache<KeyCacheKey, RowIndexEntry> kc;
if (MemoryMeter.isInitialized())
{
kc = ConcurrentLinkedHashCache.create(keyCacheInMemoryCapacity);
}
else
{
logger.warn("MemoryMeter uninitialized (jamm not specified as java agent); KeyCache size in JVM Heap will not be calculated accurately. " +
"Usually this means cassandra-env.sh disabled jamm because you are using a buggy JRE; upgrade to the Sun JRE instead");
/* We don't know the overhead size because memory meter is not enabled. */
EntryWeigher<KeyCacheKey, RowIndexEntry> weigher = new EntryWeigher<KeyCacheKey, RowIndexEntry>()
{
public int weightOf(KeyCacheKey key, RowIndexEntry entry)
{
return key.key.length + entry.serializedSize();
}
};
kc = ConcurrentLinkedHashCache.create(keyCacheInMemoryCapacity, weigher);
}
AutoSavingCache<KeyCacheKey, RowIndexEntry> keyCache = new AutoSavingCache<KeyCacheKey, RowIndexEntry>(kc, CacheType.KEY_CACHE, new KeyCacheSerializer());
int keyCacheKeysToSave = DatabaseDescriptor.getKeyCacheKeysToSave();
logger.info("Scheduling key cache save to each {} seconds (going to save {} keys).",
DatabaseDescriptor.getKeyCacheSavePeriod(),
keyCacheKeysToSave == Integer.MAX_VALUE ? "all" : keyCacheKeysToSave);
keyCache.scheduleSaving(DatabaseDescriptor.getKeyCacheSavePeriod(), keyCacheKeysToSave);
return keyCache;
}