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良辰美景奈何天

并发编程实践中,ConcurrentHashMap是一个经常被使用的数据结构,相比于Hashtable以及Collections.synchronizedMap(),ConcurrentHashMap在线程安全的基础上提供了更好的写并发能力,但同时降低了对读一致性的要求 这点好像CAP理论啊 O O。 这篇日志记录了自己对ConcurrentHashMap的一些理解,基于JDK1.7源码 ConcurrentHashMap在JDK 1.6、1.7以及最新的1.8版本中实现都有不同。 但同时,由于不是对整个Map加锁,导致一些需要扫描整个Map的方法 如size(), containsValue() 需要使用特殊的实现,另外一些方法 如clear() 甚至放弃了对一致性的要求。 Static final class HashEntry K, V { final int hash; final K key; volatile V value; volatile HashEntry K, V next; }. 相对于HashMap的resize,ConcurrentHashMap的rehash原理类似,但是D...

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良辰美景奈何天 | threaddeath.com Reviews
<META>
DESCRIPTION
并发编程实践中,ConcurrentHashMap是一个经常被使用的数据结构,相比于Hashtable以及Collections.synchronizedMap(),ConcurrentHashMap在线程安全的基础上提供了更好的写并发能力,但同时降低了对读一致性的要求 这点好像CAP理论啊 O O。 这篇日志记录了自己对ConcurrentHashMap的一些理解,基于JDK1.7源码 ConcurrentHashMap在JDK 1.6、1.7以及最新的1.8版本中实现都有不同。 但同时,由于不是对整个Map加锁,导致一些需要扫描整个Map的方法 如size(), containsValue() 需要使用特殊的实现,另外一些方法 如clear() 甚至放弃了对一致性的要求。 Static final class HashEntry K, V { final int hash; final K key; volatile V value; volatile HashEntry K, V next; }. 相对于HashMap的resize,ConcurrentHashMap的rehash原理类似,但是D...
<META>
KEYWORDS
1 良辰美景奈何天
2 跳至内容
3 concurrency of concurrenthashmap
4 发表回复
5 设计思路
6 相比于对整个map加锁的设计,分段锁大大的提高了高并发环境下的处理能力
7 并发度 concurrency level
8 创建分段锁
9 代码段如下
10 put/putifabsent/putall
CONTENT
Page content here
KEYWORDS ON
PAGE
良辰美景奈何天,跳至内容,concurrency of concurrenthashmap,发表回复,设计思路,相比于对整个map加锁的设计,分段锁大大的提高了高并发环境下的处理能力,并发度 concurrency level,创建分段锁,代码段如下,put/putifabsent/putall,当trylock一定次数后仍无法获得锁,则通过lock申请锁,rehash,这部分代码如下,remove,和put类似,remove在真正获得锁之前,也会对链表进行遍历以提高缓存命中率,代码如下,本条目发布于
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良辰美景奈何天 | threaddeath.com Reviews

https://threaddeath.com

并发编程实践中,ConcurrentHashMap是一个经常被使用的数据结构,相比于Hashtable以及Collections.synchronizedMap(),ConcurrentHashMap在线程安全的基础上提供了更好的写并发能力,但同时降低了对读一致性的要求 这点好像CAP理论啊 O O。 这篇日志记录了自己对ConcurrentHashMap的一些理解,基于JDK1.7源码 ConcurrentHashMap在JDK 1.6、1.7以及最新的1.8版本中实现都有不同。 但同时,由于不是对整个Map加锁,导致一些需要扫描整个Map的方法 如size(), containsValue() 需要使用特殊的实现,另外一些方法 如clear() 甚至放弃了对一致性的要求。 Static final class HashEntry K, V { final int hash; final K key; volatile V value; volatile HashEntry K, V next; }. 相对于HashMap的resize,ConcurrentHashMap的rehash原理类似,但是D...

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良辰美景奈何天

并发编程实践中,ConcurrentHashMap是一个经常被使用的数据结构,相比于Hashtable以及Collections.synchronizedMap(),ConcurrentHashMap在线程安全的基础上提供了更好的写并发能力,但同时降低了对读一致性的要求 这点好像CAP理论啊 O O。 这篇日志记录了自己对ConcurrentHashMap的一些理解,基于JDK1.7源码 ConcurrentHashMap在JDK 1.6、1.7以及最新的1.8版本中实现都有不同。 但同时,由于不是对整个Map加锁,导致一些需要扫描整个Map的方法 如size(), containsValue() 需要使用特殊的实现,另外一些方法 如clear() 甚至放弃了对一致性的要求。 Static final class HashEntry K, V { final int hash; final K key; volatile V value; volatile HashEntry K, V next; }. 相对于HashMap的resize,ConcurrentHashMap的rehash原理类似,但是D...

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