Cassandra doesn't replicate sstable corruptions. It detects corrupt
data and only replicates good data.
This is incorrect. Depending on the nature of the corruption it may
spread to other nodes. Checksumming (done right) would be a great
addition to alleiate this. Yes, there is code that tries
Assuming that you generally put an API on top of this, delivering to two or
more systems then boils down to a message queue issue or some similar
mechanism which handles secure delivery of messages. Maybe not trivial, but
there are many products that can help you with this, and it is a lot easier
Queues replicate bad data just as well as anything else. The biggest
source of bad data is broken app code... You will still need to
implement a reconciliation/repair checker, as queues have their own
failure modes when they get backed up. We have also looked at using
queues to bounce data between
Hum...
Seems like it could be an idea in a case like this with a mode where result
is always returned (if possible), but where a flay saying if the consistency
level was met, or to what level it was met (number of nodes answering for
instance).?
Terje
On Tue, Apr 19, 2011 at 1:13 AM, Jonathan
If you want to use local quorum for a distributed setup, it doesn't
make sense to have less than RF=3 local and remote. Three copies at
both ends will give you high availability. Only one copy of the data
is sent over the wide area link (with recent versions).
There is no need to use mirrored or
If you have RF=3 in both datacenters, it could be discussed if there is a
point to use the built in replication in Cassandra at all vs. feeding the
data to both datacenters and get 2 100% isolated cassandra instances that
cannot replicate sstable corruptions between each others
My point is
They will timeout until failure detector realizes the DC1 nodes are
down (~10 seconds). After that they will immediately return
UnavailableException until DC1 comes back up.
On Mon, Apr 18, 2011 at 10:43 AM, Baskar Duraikannu
baskar.duraikannu...@gmail.com wrote:
We are planning to deploy
