yes. known bug, fixed in 0.6.5 (CASSANDRA-1145, CASSANDRA-1042) On Wed, Aug 25, 2010 at 8:53 AM, Moleza Moleza <mole...@gmail.com> wrote: > HI, > We just recently tried to use 0.6.4 in our production environment and > had some serious problem. > The getRangeSlices functionality is broken. > We have a cluster of 5 machines. > We use getRangeSlices to iterate over all of the keys in a cf (2062 keys > total). > We are using OrderPreservingPartitioner. > We use getRangeSlices with KeyRange using keys (not tokens). > If we set the requestBlockCount (aka: KeyRange.setCount()) to a number > greater than 2062 we get all keys in one shot (all is good). > If we try to fetch the keys in smaller blocks (requestBlockCount=100) > we get BAD RESULTS. > We get only 800 unique keys back. > We start with (startKey="" and endKey="") then, after each iteration, > we set the startKey=lastMaxKey from the prior iteration (to get > lastMaxKey we use String.Compare to track the largest one from prior > iteration [we do this cause we assume keys might come back out of > order]). > Our keys are strings (obviously the only option in 0.6) that represent > numbers. > Some Sample keys are: (in correct lexi order) > -1 > 11113 > 11457 > 6831 > 7035 > 8060 > 8839 > ------ > This code (without any changes) was working correctly under 0.6.3 (we > got same response from getRangeSlices if using requestBlockCounts of > 10,000 or 100). > When we upgraded to 0.6.4 it stopped working. > We tried the 0.6 branch (built the classes and created a > cassandra.jar) but it still did not work. > We reverted back to 0.6.3 and (again, without changing the code) it > started working again. > -------- > One thing we learned is that when upgrading to the next version, we > better run a lot of tests to make sure something is not broken going > forward. > -------- > What gives? > Is this a known bug? I could not find anything in JIRA (only one about > RandomPartitioner). > Any Clues? >
-- Jonathan Ellis Project Chair, Apache Cassandra co-founder of Riptano, the source for professional Cassandra support http://riptano.com