On 17 Apr 2013, at 08:23, Dan Berindei <dan.berindei@gmail.com> wrote:

I like the idea of always clearing the state in members of the minority partition(s), but one problem with that is that there may be some keys that only had owners in the minority partition(s). If we wiped the state of the minority partition members, those keys would be lost.

Right, this is my concern with such a wipe as well.

Of course, you could argue that the cluster already lost those keys when we allowed the majority partition to continue working without having those keys... We could also rely on the topology information, and say that we only support partitioning when numOwners >= numSites (or numRacks, if there is only one site, or numMachines, if there is a single rack).

This is only true for an embedded app.  For an app communicating with the cluster over Hot Rod, this isn't the case as it could directly read from the minority partition.

One other option is to perform a more complicated post-merge state transfer, in which each partition sends all the data it has to all the other partitions, and on the receiving end each node has a "conflict resolution" component that can merge two values. That is definitely more complicated than just going with a primary partition, though.

That sounds massively expensive.  I think the right solution at this point is entry versioning using vector clocks and the vector clocks are exchanged and compared during a merge.  Not the entire dataset.

One final point... when a node comes back online and it has a local cache store, it is very much as if we had a merge view. The current approach is to join as if the node didn't have any data, then delete everything from the cache store that is not mapped to the node in the consistent hash. Obviously that can lead to consistency problems, just like our current merge algorithm. It would be nice if we could handle both these cases the same way.

+1

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Manik Surtani

Platform Architect, JBoss Data Grid