sgtm On Wed, Nov 25, 2009 at 4:15 PM, Doug Judd <[email protected]> wrote: > I have a proposal that should improve Hypertable performance in certain > situations. When running the HBase benchmark, the one test that we didn't > significantly beat HBase on was the random read test. During the test, the > RangeSevers were using just a little more than 800MB, which was the > configured size of the block cache. However, HBase was using all of the RAM > that was configured. I suspect the problem is that when we loaded the data > into Hypertable, the RangeServers aggressively compacted the data to keep > the commit log pruned back to a minimum, whereas HBase had left a > significant amount of data in their cell cache equivalent. This would give > HBase and unfair advantage in the random read test since more of the dataset > would have been resident in memory. > > In general, if the RangeServers have memory available to them, they should > use it if possible. I propose that after a minor compaction, we keep the > immutable cell cache in memory and have it overshadow the corresponding > CellStore on disk. When the system determines that it needs more memory in > its regular maintenance task, it can purge these cell caches. > > At some point we should probably have a learning algorithm, or at the very > least a heuristic that determines the best use of memory among these shadow > cell caches, the block cache, and the query cache. > > - Doug > > -- > > You received this message because you are subscribed to the Google Groups > "Hypertable Development" group. > To post to this group, send email to [email protected]. > To unsubscribe from this group, send email to > [email protected]. > For more options, visit this group at > http://groups.google.com/group/hypertable-dev?hl=en. >
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