contrueCT commented on issue #3346:
URL: https://github.com/apache/hugegraph/issues/3346#issuecomment-6219694947

   I'd like to take ownership of establishing a systematic performance 
evaluation methodology for HugeGraph. I'll research approaches used by other 
graph databases and systems, then share a proposal for community discussion.
   Initial directions include learning from LDBC SNB/FinBench for 
representative workloads and correctness validation, and ClickHouse/Rally for 
reproducible experiments, version comparisons, and regression tracking. The 
goal is a reusable workflow that contributors can easily run and extend, 
covering throughput, tail latency, and resource usage while accounting for 
measurement variability.
   I'll use the Kout and Server HTTP performance concerns discussed above as 
practical cases to validate and refine the methodology.


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