On 2018-04-19 21:20, kurt greaves wrote:
That's assuming your data is perfectly consistent, which is unlikely.
Typically that strategy is a bad idea and you should avoid it.
Oh, it's definitely a bad idea. I was just pointing out that the OP
might still be able to avoid data loss if they
That's assuming your data is perfectly consistent, which is unlikely.
Typically that strategy is a bad idea and you should avoid it.
On Thu., 19 Apr. 2018, 07:00 Richard Gray,
wrote:
> On 2018-04-18 21:28, kurt greaves wrote:
> > replacing. Simply removing and adding
On 2018-04-18 21:28, kurt greaves wrote:
replacing. Simply removing and adding back a new node without replace
address will end up with the new node having different tokens, which
would mean data loss in the use case you described.
If you have replication factor N > 1, you haven't necessarily
A new node always generates more tokens. A replaced node using
replace_address[_on_first_boot] will reclaim the tokens of the node it's
replacing. Simply removing and adding back a new node without replace
address will end up with the new node having different tokens, which would
mean data loss in
Hi,
If i replace a node does it redistributes the token range or when the node
again joins will it be allocated a new token range.
Use case:
I have booted a C* on AWS. I terminated a node and then boot a new node
assigned it the same ip and made it join the cluster.
In this case would the token