ConsistentHash | universal Consistent Hash implementation in Java | Hashing library
kandi X-RAY | ConsistentHash Summary
kandi X-RAY | ConsistentHash Summary
A universal Consistent Hash implementation in Java, which supports virtual nodes and user defined hash function
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Top functions reviewed by kandi - BETA
- Main method for testing
- Adds a node to the hash ring
- Route the object to the nearest neighbor
- Remove a physical node from the hash ring
- Get the number of replicas of a given node
- Unique key to address
- Get the unique key for this node
- Gets the physical node
- Checks if this node is the virtual node of the given node
- Route the request
- Returns a string representation of the hashtable
ConsistentHash Key Features
ConsistentHash Examples and Code Snippets
Community Discussions
Trending Discussions on ConsistentHash
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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