If we are implementing a LRU
cache using HashMap
and DoublyLinkedList
, What is the best way to implement evict()
method with O(1)
time complexity?

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`java.util.LinkedHashMap` has some traits to impl a LRU, I updated the answer a bit, maybe you would consider whether use it or not. – Eric Mar 04 '19 at 14:08
1 Answers
LinkedList
from Java
didn't expose the Node
type (which is a private static
inner class).
So you can't remove it in in O(1)
, because a sequential scan is required.
To get O(1)
, you need to be able to access the Node
type, so that could remove it without scan.
You have to write it by yourself. Fortunately, a doubly linked list
is relatively easy to write, and it's a pretty beneficial & fun task to do.
How to remove with a given Node
?
Refer to this answer: https://stackoverflow.com/a/54593530
The method LinkedList.java
-> removeNode()
remove a given node, without sequential scan.
The code in this answer is for a singly linked list, the remove
for a doubly linked list is even simpler in some case.
Tips:
- If the given node is the end node in linked list, then you need the previous node too.
But that's forsingly linked list
, for adoubly linked node
, the node itself contains the previous node, so you don't have to pass previous node to theremoveNode()
method.
BTW
- Why it's beneficial?
linked list
is the most basic structure (exceptarray
andbits
), that some other very basic structures could built base on.
e.g bothqueue
andstack
could be implemented easily with alinked list
. - Concurrent access
java.util.LinkedList
is not thread-safe, your LRU might needs some concurrent control, but I'm not sure.
If need, thenjava.util.concurrent.ConcurrentLinkedDeque
is a good example to refer to.
@Update LinkedHashMap
java.util.LinkedHashMap
, is a combination of hashtable & doubly linked list.
Mechanism:
- It extends
HashMap
to get theO(1)
complexity for the common operations. - And use
doubly linked list
to keep track of insertion order.
head
is the eldest item, andtail
is the newest item.
It can be used to impl some kind of cache, though I am not sure will it be fully qualified for your requirement.

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