Note the sentence: "As a rule of thumb, the number of shards should be a 
factor ten greater than the planned maximum number of cluster nodes."
Thus one cluster node can contain several shards. A shard is basically a 
container for a group of entries that can be transferred between cluster 
nodes as the cluster grows or shrinks.

HTH

Cheers,
Michael

Am Donnerstag, 11. September 2014 14:00:02 UTC+2 schrieb Prakhyat 
Mallikarjun:
>
> Team,
>
> I read cluster sharding many time 
> http://doc.akka.io/docs/akka/2.3-M2/contrib/cluster-sharding.html.
>
> I understand the "idExtractor", used to pick the actor entries. But did 
> not understand in detail "shardResolver".
>
> What is the difference between ShardRegion(not sharding region) and Shard.
>
> I am unable to follow below paragraph,
> shard is a group of entries that will be managed together. The grouping is 
> defined by the shardResolverfunction shown above. Creating a good 
> sharding algorithm is an interesting challenge in itself. Try to produce a 
> uniform distribution, i.e. same amount of entries in each shard. As a rule 
> of thumb, the number of shards should be a factor ten greater than the 
> planned maximum number of cluster nodes.
>
> [Prakhyat] I understand shard is group of entries. But I get confused in 
> line "same amount of entries in each shard". What does it mean by *each* 
> shard?Correct me if my understanding is correct, does it mean, consider 
> if two nodes are clustered, two shard will be created one in each node and 
> entries will distributed in these two shards?  
>
> -Prakhyat M M
>
>
> -Prakhyat M M
>

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