In MySQL Cluster there is a limiting factor in the receive threads that limits our update performance to about 0.5M update transactions per node group per second (usually 2 nodes per node group). In MySQL Cluster 7.2.7 we have removed most of this bottleneck and can now achieve 3x as many update transactions. We're reaching about 1.5M updates per node group per second. On a 30-node configuration we achieved 19.5M update transactions per second which corresponds to 1.17BN updates per minute. This means we achieve almost linear increase of update performance all the way to 30 data nodes.
The benchmarks were executed using the benchmark scripts dbt2-0.37.50 available at dev.mysql.com, the benchmark program is the flexAsynch program mentioned in some of my earlier blogs. We used 8 LQH threads per data node.
The benchmarks were executed using the benchmark scripts dbt2-0.37.50 available at dev.mysql.com, the benchmark program is the flexAsynch program mentioned in some of my earlier blogs. We used 8 LQH threads per data node.
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