squah-confluent commented on PR #19677:
URL: https://github.com/apache/kafka/pull/19677#issuecomment-2870221833
<details>
<summary>Benchmarks before and after</summary>
Scroll right for after numbers.
```
Benchmark: ServerSideAssignorBenchmark.doAssignment
assignorType: UNIFORM
isRackAware: false
subscriptionType: HOMOGENEOUS
Before After
(assignmentType) (memberCount) (partitionsToMemberRatio) (topicCount)
Mode Cnt Score Error Units Score Error Units
FULL 100 5 10
avgt 5 0.020 ± 0.001 ms/op 0.020 ± 0.001 ms/op
FULL 100 5 100
avgt 5 0.027 ± 0.001 ms/op 0.026 ± 0.002 ms/op
FULL 100 5 1000
avgt 5 0.066 ± 0.001 ms/op 0.063 ± 0.002 ms/op
FULL 100 10 10
avgt 5 0.030 ± 0.001 ms/op 0.033 ± 0.001 ms/op
FULL 100 10 100
avgt 5 0.035 ± 0.001 ms/op 0.037 ± 0.003 ms/op
FULL 100 10 1000
avgt 5 0.131 ± 0.005 ms/op 0.129 ± 0.003 ms/op
FULL 100 50 10
avgt 5 0.134 ± 0.004 ms/op 0.121 ± 0.002 ms/op
FULL 100 50 100
avgt 5 0.125 ± 0.002 ms/op 0.144 ± 0.003 ms/op
FULL 100 50 1000
avgt 5 0.205 ± 0.005 ms/op 0.193 ± 0.008 ms/op
FULL 500 5 10
avgt 5 0.089 ± 0.002 ms/op 0.090 ± 0.002 ms/op
FULL 500 5 100
avgt 5 0.108 ± 0.006 ms/op 0.101 ± 0.001 ms/op
FULL 500 5 1000
avgt 5 0.176 ± 0.008 ms/op 0.174 ± 0.005 ms/op
FULL 500 10 10
avgt 5 0.136 ± 0.003 ms/op 0.131 ± 0.002 ms/op
FULL 500 10 100
avgt 5 0.146 ± 0.004 ms/op 0.147 ± 0.002 ms/op
FULL 500 10 1000
avgt 5 0.224 ± 0.003 ms/op 0.241 ± 0.004 ms/op
FULL 500 50 10
avgt 5 0.668 ± 0.012 ms/op 0.699 ± 0.013 ms/op
FULL 500 50 100
avgt 5 0.685 ± 0.018 ms/op 0.696 ± 0.024 ms/op
FULL 500 50 1000
avgt 5 0.773 ± 0.021 ms/op 0.958 ± 0.028 ms/op
FULL 1000 5 10
avgt 5 0.179 ± 0.004 ms/op 0.168 ± 0.004 ms/op
FULL 1000 5 100
avgt 5 0.196 ± 0.002 ms/op 0.191 ± 0.004 ms/op
FULL 1000 5 1000
avgt 5 0.261 ± 0.006 ms/op 0.312 ± 0.004 ms/op
FULL 1000 10 10
avgt 5 0.288 ± 0.007 ms/op 0.264 ± 0.005 ms/op
FULL 1000 10 100
avgt 5 0.290 ± 0.012 ms/op 0.310 ± 0.055 ms/op
FULL 1000 10 1000
avgt 5 0.412 ± 0.004 ms/op 0.420 ± 0.012 ms/op
FULL 1000 50 10
avgt 5 1.261 ± 0.032 ms/op 1.264 ± 0.026 ms/op
FULL 1000 50 100
avgt 5 1.291 ± 0.036 ms/op 1.399 ± 0.057 ms/op
FULL 1000 50 1000
avgt 5 1.225 ± 0.038 ms/op 1.454 ± 0.035 ms/op
FULL 5000 5 10
avgt 5 1.090 ± 0.042 ms/op 0.878 ± 0.021 ms/op
FULL 5000 5 100
avgt 5 1.077 ± 0.045 ms/op 1.023 ± 0.020 ms/op
FULL 5000 5 1000
avgt 5 1.163 ± 0.016 ms/op 1.100 ± 0.017 ms/op
FULL 5000 10 10
avgt 5 1.371 ± 0.029 ms/op 1.334 ± 0.017 ms/op
FULL 5000 10 100
avgt 5 1.478 ± 0.040 ms/op 1.526 ± 0.038 ms/op
FULL 5000 10 1000
avgt 5 1.602 ± 0.057 ms/op 1.790 ± 0.046 ms/op
FULL 5000 50 10
avgt 5 5.869 ± 0.202 ms/op 5.975 ± 0.184 ms/op
FULL 5000 50 100
avgt 5 6.367 ± 0.266 ms/op 6.016 ± 0.180 ms/op
FULL 5000 50 1000
avgt 5 6.918 ± 0.184 ms/op 7.641 ± 1.245 ms/op
FULL 10000 5 10
avgt 5 1.780 ± 0.040 ms/op 1.725 ± 0.023 ms/op
FULL 10000 5 100
avgt 5 1.862 ± 0.051 ms/op 1.809 ± 0.028 ms/op
FULL 10000 5 1000
avgt 5 2.238 ± 0.060 ms/op 2.037 ± 0.097 ms/op
FULL 10000 10 10
avgt 5 2.864 ± 0.071 ms/op 2.602 ± 0.119 ms/op
FULL 10000 10 100
avgt 5 2.903 ± 0.110 ms/op 2.884 ± 0.242 ms/op
FULL 10000 10 1000
avgt 5 3.274 ± 0.143 ms/op 3.158 ± 0.193 ms/op
FULL 10000 50 10
avgt 5 12.125 ± 0.521 ms/op 13.874 ± 0.674 ms/op
FULL 10000 50 100
avgt 5 13.244 ± 0.677 ms/op 12.351 ± 0.465 ms/op
FULL 10000 50 1000
avgt 5 13.840 ± 1.825 ms/op 14.557 ± 0.745 ms/op
INCREMENTAL 100 5 10
avgt 5 0.010 ± 0.001 ms/op 0.010 ± 0.001 ms/op
INCREMENTAL 100 5 100
avgt 5 0.018 ± 0.003 ms/op 0.017 ± 0.001 ms/op
INCREMENTAL 100 5 1000
avgt 5 0.062 ± 0.001 ms/op 0.068 ± 0.001 ms/op
INCREMENTAL 100 10 10
avgt 5 0.015 ± 0.001 ms/op 0.015 ± 0.001 ms/op
INCREMENTAL 100 10 100
avgt 5 0.026 ± 0.001 ms/op 0.023 ± 0.001 ms/op
INCREMENTAL 100 10 1000
avgt 5 0.102 ± 0.002 ms/op 0.106 ± 0.002 ms/op
INCREMENTAL 100 50 10
avgt 5 0.098 ± 0.008 ms/op 0.087 ± 0.001 ms/op
INCREMENTAL 100 50 100
avgt 5 0.093 ± 0.002 ms/op 0.093 ± 0.002 ms/op
INCREMENTAL 100 50 1000
avgt 5 0.195 ± 0.004 ms/op 0.196 ± 0.004 ms/op
INCREMENTAL 500 5 10
avgt 5 0.049 ± 0.001 ms/op 0.052 ± 0.001 ms/op
INCREMENTAL 500 5 100
avgt 5 0.062 ± 0.001 ms/op 0.061 ± 0.001 ms/op
INCREMENTAL 500 5 1000
avgt 5 0.135 ± 0.005 ms/op 0.140 ± 0.003 ms/op
INCREMENTAL 500 10 10
avgt 5 0.062 ± 0.002 ms/op 0.059 ± 0.001 ms/op
INCREMENTAL 500 10 100
avgt 5 0.067 ± 0.001 ms/op 0.068 ± 0.002 ms/op
INCREMENTAL 500 10 1000
avgt 5 0.156 ± 0.003 ms/op 0.159 ± 0.007 ms/op
INCREMENTAL 500 50 10
avgt 5 0.194 ± 0.004 ms/op 0.211 ± 0.003 ms/op
INCREMENTAL 500 50 100
avgt 5 0.213 ± 0.006 ms/op 0.218 ± 0.002 ms/op
INCREMENTAL 500 50 1000
avgt 5 0.343 ± 0.010 ms/op 0.304 ± 0.005 ms/op
INCREMENTAL 1000 5 10
avgt 5 0.088 ± 0.002 ms/op 0.089 ± 0.001 ms/op
INCREMENTAL 1000 5 100
avgt 5 0.097 ± 0.002 ms/op 0.095 ± 0.002 ms/op
INCREMENTAL 1000 5 1000
avgt 5 0.184 ± 0.006 ms/op 0.194 ± 0.004 ms/op
INCREMENTAL 1000 10 10
avgt 5 0.108 ± 0.002 ms/op 0.123 ± 0.003 ms/op
INCREMENTAL 1000 10 100
avgt 5 0.132 ± 0.002 ms/op 0.129 ± 0.003 ms/op
INCREMENTAL 1000 10 1000
avgt 5 0.224 ± 0.004 ms/op 0.229 ± 0.004 ms/op
INCREMENTAL 1000 50 10
avgt 5 0.339 ± 0.012 ms/op 0.382 ± 0.008 ms/op
INCREMENTAL 1000 50 100
avgt 5 0.346 ± 0.007 ms/op 0.348 ± 0.004 ms/op
INCREMENTAL 1000 50 1000
avgt 5 0.458 ± 0.012 ms/op 0.481 ± 0.011 ms/op
INCREMENTAL 5000 5 10
avgt 5 0.455 ± 0.013 ms/op 0.496 ± 0.009 ms/op
INCREMENTAL 5000 5 100
avgt 5 0.471 ± 0.009 ms/op 0.495 ± 0.011 ms/op
INCREMENTAL 5000 5 1000
avgt 5 0.587 ± 0.011 ms/op 0.579 ± 0.014 ms/op
INCREMENTAL 5000 10 10
avgt 5 0.488 ± 0.008 ms/op 0.608 ± 0.048 ms/op
INCREMENTAL 5000 10 100
avgt 5 0.537 ± 0.006 ms/op 0.514 ± 0.013 ms/op
INCREMENTAL 5000 10 1000
avgt 5 0.705 ± 0.020 ms/op 0.752 ± 0.044 ms/op
INCREMENTAL 5000 50 10
avgt 5 1.586 ± 0.076 ms/op 1.619 ± 0.066 ms/op
INCREMENTAL 5000 50 100
avgt 5 1.809 ± 0.207 ms/op 1.725 ± 0.197 ms/op
INCREMENTAL 5000 50 1000
avgt 5 1.875 ± 0.222 ms/op 1.885 ± 0.158 ms/op
INCREMENTAL 10000 5 10
avgt 5 0.824 ± 0.035 ms/op 0.704 ± 0.027 ms/op
INCREMENTAL 10000 5 100
avgt 5 0.904 ± 0.092 ms/op 0.881 ± 0.039 ms/op
INCREMENTAL 10000 5 1000
avgt 5 1.076 ± 0.049 ms/op 1.071 ± 0.073 ms/op
INCREMENTAL 10000 10 10
avgt 5 0.968 ± 0.054 ms/op 1.041 ± 0.053 ms/op
INCREMENTAL 10000 10 100
avgt 5 1.288 ± 0.064 ms/op 1.112 ± 0.076 ms/op
INCREMENTAL 10000 10 1000
avgt 5 1.358 ± 0.051 ms/op 1.374 ± 0.084 ms/op
INCREMENTAL 10000 50 10
avgt 5 3.064 ± 0.435 ms/op 3.124 ± 0.276 ms/op
INCREMENTAL 10000 50 100
avgt 5 3.479 ± 0.576 ms/op 3.428 ± 0.244 ms/op
INCREMENTAL 10000 50 1000
avgt 5 4.418 ± 0.735 ms/op 4.377 ± 0.629 ms/op
```
</details>
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: jira-unsubscr...@kafka.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
