Class ProtectedCache<K,V>
java.lang.Object
cloud.opencode.base.cache.ProtectedCache<K,V>
- Type Parameters:
K- key type | 键类型V- value type | 值类型Features | 主要功能:
- BloomFilter for negative lookup tracking - 布隆过滤器跟踪未命中查找
- SingleFlight for load deduplication - SingleFlight 合并并发加载
- Negative cache with TTL - 带 TTL 的负缓存
- Cache penetration prevention - 缓存穿透防护
Security | 安全性:
- Thread-safe: Yes - 线程安全: 是
- Null-safe: Yes - 空值安全: 是
- All Implemented Interfaces:
Cache<K,V>
Protected Cache - Auto-integrates BloomFilter and SingleFlight protection
保护缓存 - 自动集成布隆过滤器和单次加载保护
Wraps an existing cache to automatically apply protection mechanisms:
包装现有缓存以自动应用保护机制:
- BloomFilter - Prevents cache penetration by tracking negative lookups | 通过跟踪未命中来防止缓存穿透
- SingleFlight - Prevents thundering herd by deduplicating concurrent loads | 通过合并并发加载来防止惊群效应
Usage Examples | 使用示例:
// Create protected cache with defaults
Cache<String, User> cache = OpenCache.getOrCreate("users");
ProtectedCache<String, User> protected = ProtectedCache.wrap(cache).build();
// With custom configuration
ProtectedCache<String, User> protected = ProtectedCache.wrap(cache)
.bloomFilter(1_000_000, 0.01) // 1M expected, 1% false positive
.singleFlight(true)
.negativeCache(Duration.ofMinutes(5)) // Cache misses for 5 min
.build();
// Load with protection
User user = protected.get("user:1", key -> userService.findById(key));
// BloomFilter prevents repeated loads for non-existent keys
// SingleFlight deduplicates concurrent loads for same key
- Since:
- JDK 25, opencode-base-cache V2.0.0
- Author:
- Leon Soo www.LeonSoo.com
- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic classBuilder for ProtectedCachestatic final recordProtection statistics -
Method Summary
Modifier and TypeMethodDescriptionasMap()Get a concurrent map view of this cache 获取 ConcurrentMap 视图AsyncCache<K, V> async()Get async view of this cache 获取异步视图voidcleanUp()Perform cleanup (expired entries, etc.)voidClear negative cache 清除负缓存Compute a new value for the key 计算键的新值computeIfPresent(K key, BiFunction<? super K, ? super V, ? extends V> remappingFunction) Compute a new value if key is present 如果键存在则计算新值booleancontainsKey(K key) Check if key exists 检查键是否存在entries()Get snapshot of all entries 获取所有条目的快照longGet estimated entry count (fast) 获取估算条目数(快速)Get value by key, returns null if not present 根据键获取值,不存在返回 nullGet value by key, load using loader if not present 根据键获取值,不存在时通过 loader 加载Get all values for given keys, returns only existing entries 批量获取,仅返回存在的条目Get all values, load missing keys using loader 批量获取,缺失的键通过 loader 加载getAndRemove(K key) Get value and remove the entry atomically 原子地获取值并删除条目Get protection statistics 获取保护统计voidinvalidate(K key) Invalidate a single key 使单个键失效voidInvalidate all entries 清空所有缓存voidinvalidateAll(Iterable<? extends K> keys) Invalidate multiple keys 批量失效booleanisKeyNegativelyCached(K key) Check if a key is in the negative cache 检查键是否在负缓存中keys()Get snapshot of all keys 获取所有键的快照metrics()Get detailed cache metrics with latency percentiles 获取带延迟百分位数的详细缓存指标booleanCheck if BloomFilter might contain a key (for negative lookup tracking) 检查布隆过滤器是否可能包含某键(用于负查找跟踪)name()Get cache name 获取缓存名称voidPut a key-value pair into cache 放入键值对voidPut all key-value pairs into cache 批量放入voidputAllWithTtl(Map<? extends K, ? extends V> map, Duration ttl) Put all entries with custom TTL 批量放入并指定自定义 TTLbooleanputIfAbsent(K key, V value) Put if the key is absent, returns true if successful 不存在时放入,成功返回 truebooleanputIfAbsentWithTtl(K key, V value, Duration ttl) Put if absent with custom TTL 不存在时放入并指定自定义 TTLvoidputWithTtl(K key, V value, Duration ttl) Put a key-value pair with custom TTL (overrides default expiration) 放入键值对并指定自定义 TTL(覆盖默认过期时间)Replace value only if key is present 仅在键存在时替换值booleanReplace value only if current value equals expected value 仅在当前值等于期望值时替换voidReset protection statistics (clears BloomFilter tracking) 重置保护统计(清除布隆过滤器跟踪)voidshutdown()Shutdown the protected cache and release resources 关闭保护缓存并释放资源longsize()Get exact entry count (may be slow) 获取精确条目数(可能较慢)stats()Get cache statistics 获取缓存统计信息values()Get snapshot of all values 获取所有值的快照static <K,V> ProtectedCache.Builder <K, V> Wrap a cache with protection 使用保护包装缓存Methods inherited from class Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface Cache
clear, computeIfAbsent, containsValue, entryIterator, entryParallelStream, entryStream, forEach, forEachKey, forEachValue, getByPattern, getIfPresent, getOptional, getOrDefault, getOrNull, invalidateByPattern, invalidateByValue, invalidateIf, isEmpty, keyIterator, keyParallelStream, keyStream, merge, putAllIfAbsent, putIfPresent, removeIfEquals, removeIfPresent, replaceAll, resetStats, updateAll, updateTtl, updateTtl, updateTtlAll, valueParallelStream, valueStream
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Method Details
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wrap
Wrap a cache with protection 使用保护包装缓存- Type Parameters:
K- key type | 键类型V- value type | 值类型- Parameters:
cache- cache to wrap | 要包装的缓存- Returns:
- builder | 构建器
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get
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get
Description copied from interface:CacheGet value by key, load using loader if not present 根据键获取值,不存在时通过 loader 加载 -
getAll
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getAll
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put
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putAll
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putIfAbsent
Description copied from interface:CachePut if the key is absent, returns true if successful 不存在时放入,成功返回 true- Specified by:
putIfAbsentin interfaceCache<K,V> - Parameters:
key- the key | 键value- the value | 值- Returns:
- true if put successfully | 成功放入返回 true
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putWithTtl
Description copied from interface:CachePut a key-value pair with custom TTL (overrides default expiration) 放入键值对并指定自定义 TTL(覆盖默认过期时间)- Specified by:
putWithTtlin interfaceCache<K,V> - Parameters:
key- the key | 键value- the value | 值ttl- the time-to-live for this entry | 此条目的存活时间
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putAllWithTtl
Description copied from interface:CachePut all entries with custom TTL 批量放入并指定自定义 TTL- Specified by:
putAllWithTtlin interfaceCache<K,V> - Parameters:
map- the key-value pairs | 键值对 Mapttl- the time-to-live for all entries | 所有条目的存活时间
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putIfAbsentWithTtl
Description copied from interface:CachePut if absent with custom TTL 不存在时放入并指定自定义 TTL- Specified by:
putIfAbsentWithTtlin interfaceCache<K,V> - Parameters:
key- the key | 键value- the value | 值ttl- the time-to-live | 存活时间- Returns:
- true if put successfully | 成功放入返回 true
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computeIfPresent
Description copied from interface:CacheCompute a new value if key is present 如果键存在则计算新值If the key is present and the remapping function returns non-null, the value is replaced. If the function returns null, the entry is removed.
如果键存在且映射函数返回非 null,则替换值。如果函数返回 null,则删除条目。
- Specified by:
computeIfPresentin interfaceCache<K,V> - Parameters:
key- the key | 键remappingFunction- the function to compute new value | 计算新值的函数- Returns:
- the new value or null if removed/absent | 新值,如果被删除或不存在则返回 null
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compute
Description copied from interface:CacheCompute a new value for the key 计算键的新值Atomically computes a new value. If the key is absent and the function returns non-null, a new entry is created. If the key is present and the function returns null, the entry is removed.
原子地计算新值。如果键不存在且函数返回非 null,则创建新条目。 如果键存在且函数返回 null,则删除条目。
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getAndRemove
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replace
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replace
Description copied from interface:CacheReplace value only if current value equals expected value 仅在当前值等于期望值时替换 -
invalidate
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invalidateAll
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invalidateAll
public void invalidateAll()Description copied from interface:CacheInvalidate all entries 清空所有缓存- Specified by:
invalidateAllin interfaceCache<K,V>
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containsKey
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size
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estimatedSize
public long estimatedSize()Description copied from interface:CacheGet estimated entry count (fast) 获取估算条目数(快速)- Specified by:
estimatedSizein interfaceCache<K,V> - Returns:
- estimated count | 估算数量
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keys
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values
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entries
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asMap
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stats
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metrics
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cleanUp
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async
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name
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getProtectionStats
Get protection statistics 获取保护统计- Returns:
- protection stats | 保护统计
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clearNegativeCache
public void clearNegativeCache()Clear negative cache 清除负缓存 -
shutdown
public void shutdown()Shutdown the protected cache and release resources 关闭保护缓存并释放资源- Since:
- V2.0.3
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isKeyNegativelyCached
Check if a key is in the negative cache 检查键是否在负缓存中- Parameters:
key- the key to check | 要检查的键- Returns:
- true if negatively cached | 在负缓存中返回 true
- Since:
- V2.0.1
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resetProtectionStats
public void resetProtectionStats()Reset protection statistics (clears BloomFilter tracking) 重置保护统计(清除布隆过滤器跟踪)Note: This creates a new BloomFilter instance. Use with caution as it may temporarily increase false negatives until the filter is repopulated.
注意:这会创建新的布隆过滤器实例。谨慎使用,因为在过滤器重新填充前可能会增加假阴性。
- Since:
- V2.0.1
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mightContainInBloomFilter
Check if BloomFilter might contain a key (for negative lookup tracking) 检查布隆过滤器是否可能包含某键(用于负查找跟踪)- Parameters:
key- the key to check | 要检查的键- Returns:
- true if might contain (could be false positive) | 可能包含返回 true(可能是假阳性)
- Since:
- V2.0.1
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