ConsistentHashing | Consistent Hashing data structures and algorithms for C
kandi X-RAY | ConsistentHashing Summary
kandi X-RAY | ConsistentHashing Summary
This is an C++14 implementation of Consistent hashing, abstracted as a Ring of tokens, with a ring_segment data structure that represents a segment of the ring. We have been using this implementation for many years in building multiple distributed systems, including our massive scale, high performance distributed store (CloudDS). Please check the comments in the single header file for how to use the data structures and their APIs, and how it works. It is pretty trivial to use it and various useful methods are implemented for building robust distributed services. You should also check the wiki, startng with the transition plan page.
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Trending Discussions on ConsistentHashing
QUESTION
The examples mentioned to create a Consistent hashing exchange in the RabbitMQ Consistent Hasing Github uses Channel to create exchanges :
...ANSWER
Answered 2020-Jul-27 at 14:36Spring AMQP has no mechanism to declare custom exchanges as @Bean
definitions, but you can use a RabbitTemplate
to get a channel to declare it yourself.
QUESTION
I am trying to find a solution where I have AKKA Actor instance containing specific key value pair as instance data. What I need is to be able to update the instance data by targeting it with the key it has. One Actor will have one key and it is unique. I see that consistenthashing will be able to route to specific node containing may be a thousand actors or so but how to deliver to specific actor?
I need to know in java.
...ANSWER
Answered 2017-May-22 at 05:41Consistent hashing doesn't necessarily map consistent hash of the message to an actor in 1-1 relation. It's more many-1 relationship - so a single actor can be a routee for many different (in terms of consistent hash produced) messages. It also has different disadvantages:
- It's pretty weak when it comes to router resizes (as number of actors change, the ranges of hashes they are responsible for also can change, so the same message may be handled by different actor over time)
- It requires constant presence of actor in memory.
For your case, Cluster Sharding is more likely, what you're looking for.
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