Ok, thanks. On Fri, May 6, 2011 at 8:32 PM, Jonathan Ellis <jbel...@gmail.com> wrote:
> Column objects are treated as immutable so it's quite likely you'll > get back the same Columns (and buffers) if your query hits a local > memtable. This was possible in 0.7.0 as well. > It's funny as this was a unit test that just put a set of columns and then read them twice, back to back. It never failed in 0.7.0, but failed first and every run in 0.7.5. > (This only applies to the StorageProxy interface, if you're going over > Thrift it will do a copy over the network.) > > On Thu, May 5, 2011 at 12:34 PM, Paul Loy <ketera...@gmail.com> wrote: > > Hi all, > > > > so I just updated Cassandra from 0.7.0 to 0.7.5. I embed Cassandra in my > app > > and use StorageProxy for querying. > > > > In one of my unit tests I write a column to Cassandra and then read it > out > > again twice in quick succession. The second time I now get the same > > ByteBuffer (i.e. same id - same 'physical' HeapByteBuffer) as the first > > call. But as I have consumed this, the position == capacity. > > > > I have fixed this in my code by simply using ByteBuffer#duplicate, > however > > I'm concerned that caching may have changed between versions and want to > > know what the implications of that change may be. > > > > So my questions are: > > > > 1) is the Row Cache now enabled by default? > > 2) or is there now some other form of caching that is causing this to > happen > > that I should be aware of? > > > > We're pretty close to deploying into production when we came across a > > critical bug in 0.7.0 (infinite loop in HashMap) which means we have to > > upgrade but I'm concerned that the changes mean our load/stress tests > will > > not be valid so just need some info to put my mind at ease! > > > > Many thanks, > > > > Paul. > > > > -- > > --------------------------------------------- > > Paul Loy > > p...@keteracel.com > > http://uk.linkedin.com/in/paulloy > > > > > > -- > Jonathan Ellis > Project Chair, Apache Cassandra > co-founder of DataStax, the source for professional Cassandra support > http://www.datastax.com > -- --------------------------------------------- Paul Loy p...@keteracel.com http://uk.linkedin.com/in/paulloy
