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////////////////////////////### Server Configurations ###//////////////////
CPU=16
Memory=32G
Disk=1.8T HDD
Ethernet=1000Mbit
///////////////////////////////////////////////////////////////////////////
////////////////////////////### IoTDB Configurations ###///////////////////
MAX_HEAP_SIZE="20G" in datanode-env.sh
MAX_HEAP_SIZE="6G" in confignode-env.sh
schema_replication_factor=3
data_replication_factor=3
all_compaction=false
///////////////////////////////////////////////////////////////////////////
////////////////////////////### Client Mode ###////////////////////////////
Insert Non-Aligned/Aligned timeseries with SESSION_BY_TABLET
CLIENT_NUMBER=10
GROUP_NUMBER=10
DEVICE_NUMBER=500
SENSOR_NUMBER=500
BATCH_SIZE_PER_WRITE=100
LOOP=(3240 in 3C3D) (6480 in 3C5D)
///////////////////////////////////////////////////////////////////////////

////////////////////////////### Test Result ###////////////////////////////
3C3D: Timeseries Num : 250,000;Loaded 81,000,000,000points;
Non-Aligned Timseries:
Throughput(points/s): 38,943,600  Cost Time(s):1,974
Latency(ms): Avg 11.09, Min 4.97, MiddleAvg 8.27, Max 1,197.56
Aligned Timseries:
Throughput(points/s): 40,186,500 Cost Time(s):1,847
Latency(ms): Avg 10.38, Min 4.36, MiddleAvg 7.58, Max 1,368.69
Table Mode:
Throughput(points/s): 46,002,100  Cost Time(s):1,765
Latency(ms): Avg 9.42, Min 4.54, MiddleAvg 7.12, Max 8,109.56

3C5D:Timeseries Num : 250,000;Loaded 162,000,000,000points;
Non-Aligned Timseries:
Throughput(points/s):56,260,800  Cost Time(s):2,894
Latency(ms): Avg 8.23, Min 5.02, MiddleAvg 6.96, Max 1,520.24
Aligned Timseries:
Throughput(points/s): 58,549,500  Cost Time(s):2,783
Latency(ms): Avg 7.84, Min 4.29, MiddleAvg 6.26, Max 1,121.95
Table Mode:
Throughput(points/s): 57,919,400  Cost Time(s):2,804
Latency(ms): Avg 7.89, Min 4.42, MiddleAvg 6.27, Max 9,117,97
///////////////////////////////////////////////////////////////////////////

Avg [ms]: Average time cost of all ingestion operations.
MiddleAvg [ms]: Average time cost of ingestion operations without 5% head and 
tail.
Min [ms]: Min single operation time cost of all ingestion operations.
Max [ms]: Max single operation  time cost of all ingestion operations.
These results are tested with 
iot-benchmark(https://github.com/thulab/iot-benchmark)

That’s all.
Please feel free to contact me if you have any questions.
Thank you.
Best Regards!

Qingxin Feng

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