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We're currently evaluating TiKV in an on-premises environment and are encountering issues with scaling under load. I'd like to ask for your insights regarding this behavior.
📌 Test Environment
TiDB version: v8.5.0
Deployment: On-premises (virtual machines)
Cluster topology:
PD: 3 nodes
TiDB: 3 nodes
TiKV: 8 nodes
VM specifications:
TiKV: 16 vCPU / 64GB RAM
TiDB: 8 vCPU / 32GB RAM
PD: 4 vCPU / 16GB RAM
Benchmark tool: go-tpc (TPC-C workload)
Warehouse count: 10,000
🔬 Observed Behavior
When running the TPC-C workload with increasing thread and client counts, tpmC performance reaches a ceiling at around 70,000, and does not improve further.
TiKV nodes show only around 20% CPU utilization, even under heavy load.
No obvious bottlenecks have been observed in disk I/O or network throughput.
❓ Questions
What could be potential causes for this early saturation in TiKV throughput?
Is TiKV expected to scale linearly with node count, or are there limitations due to Region count, schedulers, or internal coordination?
Could the low CPU utilization be related to thread pool configuration, NUMA effects, or other system-level scheduling issues?
Any advice or guidance on how to further investigate or resolve this would be greatly appreciated.
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TiKV scalability issue in on-premises environment
Hi TiKV team,
We're currently evaluating TiKV in an on-premises environment and are encountering issues with scaling under load. I'd like to ask for your insights regarding this behavior.
📌 Test Environment
go-tpc
(TPC-C workload)🔬 Observed Behavior
❓ Questions
Any advice or guidance on how to further investigate or resolve this would be greatly appreciated.
Thank you in advance!
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