500k reads per second on 1 datanode

just did some benchmarking on multi-threaded ndbd (binary called ndbmtd)
that is in the coming 6.4 release.

quite happy with results

--- results

[jonas@n1 run]$ flexAsynch -ndbrecord -temp -t 8 -p 512 -r 5 -a 2
insert average: 374200/s min: 374200/s max: 374200/s stddev: 0%
update average: 370947/s min: 370947/s max: 370947/s stddev: 0%
delete average: 395061/s min: 395061/s max: 395061/s stddev: 0%
read average: 537178/s min: 531948/s max: 543092/s stddev: 0%

---

this flexAsynch command will run with
- 8 threads
- 512 parallel transactions per thread
- 8 byte records.

note: during the reads, the datanode was *not* maxed out.

---

this was run on two identical computers,
2-socket, 4 cores per socket Intel(R) Xeon(R) CPU X5355 @ 2.66GHz

api-program was running on computer 1 (n1)
datanode was running on computer 2 (n2)

--- configuration

[cluster_config]
DataMemory=2000M
IndexMemory=150M

SendBufferMemory=8M
ReceiveBufferMemory=8M
LongMessageBuffer=64M

NoOfReplicas=1
ndb_mgmd=n1
ndbd=n2
mysqld=n1,n1,n1,n1
Diskless=1
MaxNoOfExecutionThreads=6
MaxNoOfConcurrentTransactions=16384