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Interviewer: what is the internal implementation of ordered collection in redis?
2022-07-06 20:57:00 【51CTO】
interviewer :Redis What are the basic data types in ?
I :Redis The basic data types of are : character string (string)、 Hash (hash)、 list (list)、 aggregate (set)、 Ordered set (zset).
interviewer : What is the internal implementation of an ordered set ?
I was also immersed in the complacency of the last question , Suddenly, his expression solidified , The palms began to sweat .“ This .. Not much in-depth understanding ”, I hesitated .

interviewer : Go back and wait for the news .
This sentence is clear , And then there's no then . Failure is the mother of success , I'm not discouraged , Decided to mend it right away .
Internal implementation of ordered sets
There are two internal implementations of ordered sets , Namely : Compressed list (ziplist) And the jump watch (skiplist). Next , Let's have a detailed understanding of .
Take the compressed list as the internal implementation
When the number of elements in an ordered set is less than zset-max-ziplist-entries( The default is 128 individual ), And the length of each element member is less than zset-max-ziplist-value( The default is 64 byte ) When , Use a compressed list as an internal implementation of an ordered set .
Each set element consists of two compressed list nodes next to each other , The first node holds the members of the element , The second node holds the branch of the element . The elements in the compressed list are arranged next to each other according to the score from small to large , Effectively reduce the use of memory space .
for instance , We use zadd Command to create an ordered collection implemented as a compressed list :
Take the jump table as the internal implementation
When the number of elements in an ordered set is greater than or equal to zset-max-ziplist-entries( The default is 128 individual ), Or the length of each element member is greater than or equal to zset-max-ziplist-value( The default is 64 byte ) When , Use the jump table as the internal implementation of the ordered set .
here , In fact, there are two structures in an ordered set , One is the jump table , The other is the hash table .
In the jump table , All elements are arranged from small to large . In the node of the jump table object Pointer to the string object of the element member ,score Saved the score of the element . Through the jump table ,Redis You can quickly score and range ordered sets 、 Ranking and other operations .
In the hash table , A mapping from element members to element fractions is created for ordered collections . The key in the key value pair points to the string object of the element member , The value in the key value pair holds the score of the element . Through hash table ,Redis You can quickly find the score of the specified element .
Although ordered collections use both jump tables and hash tables , But both data structures use pointers to share members and scores in elements , No extra memory waste .
for instance , We use zadd Command to create an ordered set implemented by jump table :
Internally implemented transformation
When an ordered set is implemented internally with a compressed list , Then add a longer element member to the ordered set , Or when there are too many elements in this ordered set , Then the ordered set will be transformed into an internal implementation with a jump table . however , An ordered set with a jump table as an internal implementation will not be converted to a compressed list as an internal implementation .
for instance , Let's first create an ordered collection with a compressed list as the internal implementation :
then , Add a longer member element to it , It is converted to take the jump table as the internal implementation :
then , Then remove the element of the longer member from the ordered set , An ordered set is still implemented internally with a jump table :
summary
stay Redis in , The internal implementation of an ordered set has a compressed list (ziplist) And the jump watch (skiplist) Two kinds of , When the member length of all elements in the collection is short and the number of elements is small , Use a compressed list as an internal implementation , Otherwise, use the jump table and hash table as the internal implementation . When conditions are not met , The compressed list can be converted into a jump table , But the jump table cannot be converted to a compressed list .
I've seen it here , You and I must be predestined friends , Leave your give the thumbs-up and Focus on , It will become a great thing in the future .
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