Hi Denis,

Thanks for your reply.

> You didn't configure any backups for your cache, so, there is only one
> node for every key in the cluster.
In order to configure backups for cache, use
CacheConfiguration.setBackups(int) method.

If i have 3 nodes server, do i have to set up which is the primary and
backup nodes?
It is like paradigm DBMS Master and Slave? 
I will put F5 before invoke into my 3 nodes server. So the F5 will become
load balancer and also failover.
Is it fine?
What if i set second node and third nodes to 'Backup', and suddenly first
node down, then F5 will pointer to 2nd or 3rd nodes. How about
insert/put/update operations will be? Where is the data will be stored?


> Another option is to make the cache replicated, but it will make
> insert/put/update operations slower. Covered here:
> https://apacheignite.readme.io/docs/cache-modes

Yes I have implemented replication cache
(https://apacheignite.readme.io/docs/cache-modes).

> Do you mean, that you connected to different Ignite nodes, using JDBC
> driver, and ran queries? 
yes it is.

>In this case you will get the same result, regardless of where the data is
stored. 
In my case, data will be stored at this nodes (IP = 10.5.42.95) right?
>> 2. Dbeaver connect to IP = 10.5.42.95 

>If some data is missing on a local node, Ignite sends requests to other
nodes. 
I think the data will be stored on each cluster. I was wrong about this.

Would you mind to clarification about this...





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