With many thanks to Vadim at Percona for his analysis of different capabilities of different columnar dbms. Definitely good information, and well documented. Queries and results available at:
http://www.mysqlperformanceblog.com/2009/11/02/air-traffic-queries-in-infinidb-early-alpha/
Of course InfiniDB, does offer multi-threaded processing for all offerings and distributed processing (enabled with Enterprise Edition additional functionality) that was beyond the scope of his test platform.
So, using the same airline on-time queries, we can show the relative performance of the queries as we scale both threads and servers.
System under test is a Dell server with dual Xeon CPU's, with quad cores (8 total cores).
Intel(R) Xeon(R) CPU E5335 @ 2.00GHz
To gain an approximation of different server capabilities, individual cores were then taken offline using Linux hotplug capabilities and the queries were run:
echo 0 > /sys/devices/system/cpu/cpu7/online
. . .
echo 0 > /sys/devices/system/cpu/cpu2/online
The timings are captured below, with some analysis to follow. The 2 core timings measured here appear to correspond well with Vadim's timings ( total of 178.6 seconds reported by Vadim, and 174.56 seconds measured here). Columns 3-5 below show benefits of additional cores, columns 6 and 7 show benefits of additional servers.
|
Query
|
InfiniDB
metrics -Vadim at Percona
|
Community InfiniDB Repeated w/ 2 cores enabled
|
Community InfiniDB Repeated w/ 4 cores enabled
|
Community InfiniDB Repeated w/ 8 cores enabled
|
InfiniDB Two Performance Modules (Enterprise Edition)
|
InfiniDB Four Performance Modules (Enterprise Edition)
|
|
Q0
|
NA
|
|
|
|
|
|
|
Q1
|
6.79
|
6.97
|
3.43
|
1.91
|
1.29
|
0.87
|
|
Q2
|
4.59
|
4.83
|
2.48
|
1.71
|
1.34
|
0.69
|
|
Q3
|
4.96
|
5.56
|
3.19
|
1.93
|
1.7
|
0.96
|
|
Q4
|
0.75
|
0.8
|
0.43
|
0.36
|
0.32
|
0.32
|
|
Q5
|
NA
|
|
|
|
|
|
|
Q6
|
NA
|
|
|
|
|
|
|
Q7
|
NA
|
|
|
|
|
|
|
Q8 (1y)
|
8.13
|
8.03
|
4.17
|
2.54
|
2.23
|
2.02
|
|
Q8 (2y)
|
16.54
|
16.03
|
8.75
|
5.13
|
3.26
|
3.79
|
|
Q8 (3y)
|
24.46
|
23.62
|
12.66
|
7.72
|
5.15
|
3.3
|
|
Q8 (4y)
|
32.49
|
31.21
|
16.61
|
10.06
|
5.77
|
3.44
|
|
Q8 (10y)
|
70.35
|
68.3
|
37.06
|
23.08
|
14.09
|
7.16
|
|
Q9
|
9.54
|
9.21
|
4.55
|
2.4
|
1.39
|
0.86
|
Q0, Q5, Q6, Q7 – on roadmap
Q1, Q2, Q3, Q4,Q9 - show good scalability overall, however queries under about 1/2 second show either smaller benefits from scaling, or no benefit (Q4 shows the close to the same time for 4 cores and above).
Q8 variations - show overall good scalability, but we think there may be some performance opportunities here.
Look to this site for additional scalability measurements on Scan operations, Aggregation, and (Hash) Join operations.
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