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Re:Distributed Filesystems for Deep Learning by jamesblonde on Thursday October 18, 2018 @05:43PM (#18252411)
You can have multiple metadata servers, but then you have multiple volumes - like MapR. When you move a file between two different volumes, the move operation is no longer a simple metadata operation (which is atomic). Instead the move operation involves removing the file from one metadata server, then adding it to the other server - an agreement problem. Except, they don't solve the agreement problem properly. You will notice it more when you move a large directory, as then it will go really slow - and you hope you dont have a failure while the operation is executing.

reference: http://docs.ceph.com/docs/master/cephfs/add-remove-mds/

Re:Distributed Filesystems for Deep Learning by teraflop on Thursday October 18, 2018 @08:02PM (#18253378)
That reference does not contain any information to back up your claim.

The Ceph team considers configurations with multiple active metadata servers to be stable and supported; where is your evidence that this is false?