我一直很喜欢树,O(n*log(n))和它们的整洁。然而,我所认识的每个软件工程师都尖锐地问过我为什么要使用TreeSet。从CS的背景来看,我不认为你使用什么很重要,我也不关心在哈希函数和桶(在Java的情况下)上搞得一团糟。
在哪些情况下,我应该在树集上使用HashSet ?
我一直很喜欢树,O(n*log(n))和它们的整洁。然而,我所认识的每个软件工程师都尖锐地问过我为什么要使用TreeSet。从CS的背景来看,我不认为你使用什么很重要,我也不关心在哈希函数和桶(在Java的情况下)上搞得一团糟。
在哪些情况下,我应该在树集上使用HashSet ?
当前回答
1.HashSet允许空对象。
2.树集不允许空对象。如果你试图添加空值,它将抛出一个NullPointerException。
3.HashSet比TreeSet快得多。
e.g.
TreeSet<String> ts = new TreeSet<String>();
ts.add(null); // throws NullPointerException
HashSet<String> hs = new HashSet<String>();
hs.add(null); // runs fine
其他回答
1.HashSet允许空对象。
2.树集不允许空对象。如果你试图添加空值,它将抛出一个NullPointerException。
3.HashSet比TreeSet快得多。
e.g.
TreeSet<String> ts = new TreeSet<String>();
ts.add(null); // throws NullPointerException
HashSet<String> hs = new HashSet<String>();
hs.add(null); // runs fine
HashSet是O(1)来访问元素,所以这当然很重要。但是保持集合中对象的顺序是不可能的。
如果维护顺序(根据值而不是插入顺序)对您很重要,TreeSet是有用的。但是,正如您所注意到的,您正在以顺序换取访问元素的更慢时间:基本操作为O(log n)。
来自TreeSet的javadocs:
该实现为基本操作(添加、删除和包含)提供了log(n)的时间成本。
明明可以吃橘子,为什么要吃苹果?
Seriously guys and gals - if your collection is large, read and written to gazillions of times, and you're paying for CPU cycles, then the choice of the collection is relevant ONLY if you NEED it to perform better. However, in most cases, this doesn't really matter - a few milliseconds here and there go unnoticed in human terms. If it really mattered that much, why aren't you writing code in assembler or C? [cue another discussion]. So the point is if you're happy using whatever collection you chose, and it solves your problem [even if it's not specifically the best type of collection for the task] knock yourself out. The software is malleable. Optimise your code where necessary. Uncle Bob says Premature Optimisation is the root of all evil. Uncle Bob says so
基于@shevchyk在地图上可爱的视觉回答,以下是我的看法:
╔══════════════╦═════════════════════╦═══════════════════╦═════════════════════╗
║ Property ║ HashSet ║ TreeSet ║ LinkedHashSet ║
╠══════════════╬═════════════════════╬═══════════════════╬═════════════════════╣
║ ║ no guarantee order ║ sorted according ║ ║
║ Order ║ will remain constant║ to the natural ║ insertion-order ║
║ ║ over time ║ ordering ║ ║
╠══════════════╬═════════════════════╬═══════════════════╬═════════════════════╣
║ Add/remove ║ O(1) ║ O(log(n)) ║ O(1) ║
╠══════════════╬═════════════════════╬═══════════════════╬═════════════════════╣
║ ║ ║ NavigableSet ║ ║
║ Interfaces ║ Set ║ Set ║ Set ║
║ ║ ║ SortedSet ║ ║
╠══════════════╬═════════════════════╬═══════════════════╬═════════════════════╣
║ ║ ║ not allowed ║ ║
║ Null values ║ allowed ║ 1st element only ║ allowed ║
║ ║ ║ in Java 7 ║ ║
╠══════════════╬═════════════════════╩═══════════════════╩═════════════════════╣
║ ║ Fail-fast behavior of an iterator cannot be guaranteed ║
║ Fail-fast ║ impossible to make any hard guarantees in the presence of ║
║ behavior ║ unsynchronized concurrent modification ║
╠══════════════╬═══════════════════════════════════════════════════════════════╣
║ Is ║ ║
║ synchronized ║ implementation is not synchronized ║
╚══════════════╩═══════════════════════════════════════════════════════════════╝
TreeSet的一个尚未被提及的优点是它有更大的“局部性”,这是以下说法的简写:(1)如果两个条目在顺序上是相邻的,TreeSet将它们放在数据结构中彼此相邻的地方,因此在内存中也是如此;并且(2)这种布局利用了局部性原则,该原则说类似的数据通常被一个应用程序以相似的频率访问。
这与HashSet相反,HashSet将条目分布在内存中,而不管它们的键是什么。
当从硬盘读取的延迟成本是从缓存或RAM读取的延迟成本的数千倍,并且当数据确实是通过局部性访问时,TreeSet可能是更好的选择。