Correct, this happens when the timestamp of the delete occurs after the timestamp of the column update.
On Fri, Jun 24, 2011 at 5:40 AM, David Boxenhorn <da...@citypath.com> wrote: > "it can cause index corruption IF the row delete timestamp is higher > than the column update's." > > By "higher" you mean later, i.e. some modifications to a row, then delete? > > I have not seen this error in our logs, but it could happen. I have a > process where I insert historical data into Cassandra, in batches. > Modifying something, then deleting it is a normal scenario. > > On Fri, Jun 24, 2011 at 12:41 AM, Jim Ancona <j...@anconafamily.com> wrote: >> I've reopened the issue. On our 0.7.6-2 cluster, system.log is filling >> with repeated instances of the UnsupportedOperationException. When >> we've attempted to restart a node, the restart fails with the same >> exception. Luckily we found this as part of our pre-deploy testing of >> 0.7.6, not in production, but this is not "mostly a non-problem" here. >> >> Jim >> >> On Thu, Jun 23, 2011 at 3:25 PM, Jonathan Ellis <jbel...@gmail.com> wrote: >>> The patch probably applies as-is but I don't want to take any risks >>> with 0.7 to solve what is mostly a non-problem. >>> >>> On Thu, Jun 23, 2011 at 2:16 PM, Jim Ancona <j...@anconafamily.com> wrote: >>>> Is there any reason this fix can't be back-ported to 0.7? >>>> >>>> Jim >>>> >>>> On Thu, Jun 23, 2011 at 3:00 PM, Jonathan Ellis <jbel...@gmail.com> wrote: >>>>> Sorry, 0.8.2 is correct. >>>>> >>>>> On Thu, Jun 23, 2011 at 1:36 PM, Les Hazlewood <l...@katasoft.com> wrote: >>>>>> The issue has the fix version as 0.8.2, not 0.7.7. Is that incorrect? >>>>>> Cheers, >>>>>> Les >>>>>> >>>>> >>>>> >>>>> >>>>> -- >>>>> Jonathan Ellis >>>>> Project Chair, Apache Cassandra >>>>> co-founder of DataStax, the source for professional Cassandra support >>>>> http://www.datastax.com >>>>> >>>> >>> >>> >>> >>> -- >>> Jonathan Ellis >>> Project Chair, Apache Cassandra >>> co-founder of DataStax, the source for professional Cassandra support >>> http://www.datastax.com >>> >> >
