mirror of https://github.com/etcd-io/dbtester.git
update testdata
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titles:
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- Write 2K keys, 1-client, 1-conn, 8-byte key with random texts(<300KB) (etcd v3)
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- Write 2K keys, 1-client, 1-conn, 8-byte key with random texts(<300KB) (etcd v3)
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step1:
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- data_path_list:
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- 2016050101/01-etcdv3-original-1-monitor.csv
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- 2016050101/01-etcdv3-original-2-monitor.csv
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- 2016050101/01-etcdv3-original-3-monitor.csv
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data_benchmark_path: 2016050101/01-etcdv3-original-timeseries.csv
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output_path: 2016050101/01-etcdv3-original-aggregated.csv
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- data_path_list:
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- 2016050101/01-etcdv3-snappy-1-monitor.csv
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- 2016050101/01-etcdv3-snappy-2-monitor.csv
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- 2016050101/01-etcdv3-snappy-3-monitor.csv
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data_benchmark_path: 2016050101/01-etcdv3-snappy-timeseries.csv
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output_path: 2016050101/01-etcdv3-snappy-aggregated.csv
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- data_path_list:
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- 2016050101/02-etcdv3-original-1-monitor.csv
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- 2016050101/02-etcdv3-original-2-monitor.csv
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- 2016050101/02-etcdv3-original-3-monitor.csv
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data_benchmark_path: 2016050101/02-etcdv3-original-timeseries.csv
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output_path: 2016050101/02-etcdv3-original-aggregated.csv
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- data_path_list:
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- 2016050101/02-etcdv3-snappy-1-monitor.csv
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- 2016050101/02-etcdv3-snappy-2-monitor.csv
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- 2016050101/02-etcdv3-snappy-3-monitor.csv
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data_benchmark_path: 2016050101/02-etcdv3-snappy-timeseries.csv
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output_path: 2016050101/02-etcdv3-snappy-aggregated.csv
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step2:
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- data_list:
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- path: 2016050101/01-etcdv3-original-aggregated.csv
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name: etcd_v3_original
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- path: 2016050101/01-etcdv3-snappy-aggregated.csv
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name: etcd_v3_snappy
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output_path: 2016050101/01-all-aggregated.csv
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- data_list:
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- path: 2016050101/02-etcdv3-original-aggregated.csv
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name: etcd_v3_original
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- path: 2016050101/02-etcdv3-snappy-aggregated.csv
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name: etcd_v3_snappy
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output_path: 2016050101/02-all-aggregated.csv
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step3:
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- data_path: 2016050101/01-all-aggregated.csv
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plot_list:
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- lines:
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- column: avg_latency_ms_etcd_v3_original
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legend: etcd v3
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- column: avg_latency_ms_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: Latency(millisecond)
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output_path_list:
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- 2016050101/01-avg-latency-ms.svg
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- 2016050101/01-avg-latency-ms.png
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- lines:
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- column: throughput_etcd_v3_original
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legend: etcd v3
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- column: throughput_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: Throughput
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output_path_list:
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- 2016050101/01-throughput.svg
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- 2016050101/01-throughput.png
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- lines:
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- column: avg_cpu_etcd_v3_original
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legend: etcd v3
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- column: avg_cpu_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: CPU
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output_path_list:
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- 2016050101/01-avg-cpu.svg
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- 2016050101/01-avg-cpu.png
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- lines:
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- column: avg_memory_mb_etcd_v3_original
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legend: etcd v3
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- column: avg_memory_mb_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: Memory(MB)
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output_path_list:
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- 2016050101/01-avg-memory.svg
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- 2016050101/01-avg-memory.png
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- data_path: 2016050101/02-all-aggregated.csv
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plot_list:
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- lines:
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- column: avg_latency_ms_etcd_v3_original
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legend: etcd v3
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- column: avg_latency_ms_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: Latency(millisecond)
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output_path_list:
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- 2016050101/02-avg-latency-ms.svg
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- 2016050101/02-avg-latency-ms.png
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- lines:
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- column: throughput_etcd_v3_original
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legend: etcd v3
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- column: throughput_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: Throughput
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output_path_list:
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- 2016050101/02-throughput.svg
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- 2016050101/02-throughput.png
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- lines:
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- column: avg_cpu_etcd_v3_original
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legend: etcd v3
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- column: avg_cpu_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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x_axis: Second
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y_axis: CPU
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output_path_list:
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- 2016050101/02-avg-cpu.svg
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- 2016050101/02-avg-cpu.png
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- lines:
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- column: avg_memory_mb_etcd_v3_original
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legend: etcd v3
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- column: avg_memory_mb_etcd_v3_snappy
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legend: etcd v3 (with Snappy)
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- column: avg_memory_mb_etcd_v3_lz4
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legend: etcd v3 (with Lz4)
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x_axis: Second
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y_axis: Memory(MB)
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output_path_list:
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- 2016050101/02-avg-memory.svg
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- 2016050101/02-avg-memory.png
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step4:
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preface: |
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- Google Cloud Compute Engine
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- 8 vCPUs + 16GB Memory + 50GB SSD
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- 1 machine(client) of 16 vCPUs + 30GB Memory + 50GB SSD
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- Ubuntu 15.10
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- Go master branch on 2016-04-30
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- etcd v3
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results:
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- images:
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- image_title: 2016050101/01-avg-latency-ms
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/01-avg-latency-ms.svg
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image_type: remote
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- image_title: 2016050101/01-throughput
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/01-throughput.svg
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image_type: remote
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- image_title: 2016050101/01-avg-cpu
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/01-avg-cpu.svg
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image_type: remote
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- image_title: 2016050101/01-avg-memory
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/01-avg-memory.svg
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image_type: remote
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- images:
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- image_title: 2016050101/02-avg-latency-ms
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/02-avg-latency-ms.svg
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image_type: remote
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- image_title: 2016050101/02-throughput
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/02-throughput.svg
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image_type: remote
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- image_title: 2016050101/02-avg-cpu
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/02-avg-cpu.svg
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image_type: remote
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- image_title: 2016050101/02-avg-memory
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image_path: https://storage.googleapis.com/dbtester-results/2016050101/02-avg-memory.svg
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image_type: remote
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output_path: 2016050101/README.md
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database: etcdv3
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test_name: 01-etcdv3-original
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google_cloud_project_name: etcd-development
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google_cloud_storage_key_path: /home/gyuho/gcloud-key.json
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google_cloud_storage_bucket_name: dbtester-results
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google_cloud_storage_sub_directory: 2016043002
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peer_ips:
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- 10.240.0.17
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- 10.240.0.18
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- 10.240.0.19
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agent_port: 3500
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database_port: 2379
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etcd_compression: ""
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# start database by sending RPC calls to agents
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step1:
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skip: false
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zookeeper_max_client_connections: 5000
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zookeeper_snap_count: 100000
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# start benchmark
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step2:
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skip: false
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bench_type: write
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local_read: true
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result_path: timeseries.csv
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connections: 1
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clients: 1
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key_size: 8
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value_size: 1
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value_testdata_path: /home/gyuho/testdata
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total_requests: 2000
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request_interval_ms: 0
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etcdv3_compaction_cycle: 0
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# after benchmark
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step3:
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skip: false
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result_path: result.log
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database: etcdv3
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test_name: 01-etcdv3-snappy
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google_cloud_project_name: etcd-development
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google_cloud_storage_key_path: /home/gyuho/gcloud-key.json
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google_cloud_storage_bucket_name: dbtester-results
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google_cloud_storage_sub_directory: 2016050101
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peer_ips:
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- 10.240.0.21
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- 10.240.0.22
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- 10.240.0.23
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agent_port: 3500
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database_port: 2379
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etcd_compression: snappy
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# start database by sending RPC calls to agents
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step1:
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skip: false
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zookeeper_max_client_connections: 5000
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zookeeper_snap_count: 100000
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# start benchmark
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step2:
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skip: false
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bench_type: write
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local_read: true
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result_path: timeseries.csv
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connections: 1
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clients: 1
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key_size: 8
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value_size: 1
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value_testdata_path: /home/gyuho/testdata
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total_requests: 2000
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request_interval_ms: 0
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etcdv3_compaction_cycle: 0
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# after benchmark
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step3:
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skip: false
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result_path: result.log
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database: etcdv3
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test_name: 02-etcdv3-original
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google_cloud_project_name: etcd-development
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google_cloud_storage_key_path: /home/gyuho/gcloud-key.json
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google_cloud_storage_bucket_name: dbtester-results
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google_cloud_storage_sub_directory: 2016050101
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peer_ips:
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- 10.240.0.17
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- 10.240.0.18
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- 10.240.0.19
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agent_port: 3500
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database_port: 2379
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etcd_compression: ""
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# start database by sending RPC calls to agents
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step1:
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skip: false
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zookeeper_max_client_connections: 5000
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zookeeper_snap_count: 100000
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# start benchmark
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step2:
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skip: false
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bench_type: write
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local_read: true
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result_path: timeseries.csv
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connections: 1
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clients: 1
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key_size: 8
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value_size: 1
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value_testdata_path: /home/gyuho/testdata
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total_requests: 2000
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request_interval_ms: 0
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etcdv3_compaction_cycle: 0
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# after benchmark
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step3:
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skip: false
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result_path: result.log
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database: etcdv3
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test_name: 02-etcdv3-snappy
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google_cloud_project_name: etcd-development
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google_cloud_storage_key_path: /home/gyuho/gcloud-key.json
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google_cloud_storage_bucket_name: dbtester-results
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google_cloud_storage_sub_directory: 2016050101
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peer_ips:
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- 10.240.0.21
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- 10.240.0.22
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- 10.240.0.23
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agent_port: 3500
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database_port: 2379
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etcd_compression: snappy
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# start database by sending RPC calls to agents
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step1:
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skip: false
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zookeeper_max_client_connections: 5000
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zookeeper_snap_count: 100000
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# start benchmark
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step2:
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skip: false
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bench_type: write
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local_read: true
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result_path: timeseries.csv
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connections: 1
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clients: 1
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key_size: 8
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value_size: 1
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value_testdata_path: /home/gyuho/testdata
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total_requests: 2000
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request_interval_ms: 0
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etcdv3_compaction_cycle: 0
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# after benchmark
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step3:
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skip: false
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result_path: result.log
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