Continuing on with the discussion on Waffle Grid, I have put together a few interesting benchmarks and wanted to expand on some of the possible deployment scenarios using Waffle.
My home laboratory is rather small, so my datasets are limited in size for the moment. To compensate I have shrunk the data sizes and database setting to simulate as best as I can the performance on a larger system. For this first test I decided to go with a 20 Warehouse DBT2 test, which equates to about 3GB of data in the database. In order to get a better feel for the performance benefit of fitting all most of your data in local memory + remote I setup my local machine with 768M allocated to the innodb buffer pool, and setup a remote machine with 768M allocated to memcached. This should scale up at a somewhat similar rate. What I mean by this is the increase seen with a 3GB dataset with 768/768 local/remote split I should also see with a 6GB dataset with a …
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