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Benchmarking etcd v2.2.0

Physical Machines

GCE n1-highcpu-2 machine type

  • 1x dedicated local SSD mounted as etcd data directory

  • 1x dedicated slow disk for the OS

  • 1.8 GB memory

  • 2x CPUs

etcd Cluster

3 etcd 2.2.0 members, each runs on a single machine.

Detailed versions:

etcd Version: 2.2.0
Git SHA: e4561dd
Go Version: go1.5
Go OS/Arch: linux/amd64

Testing

Bootstrap another machine, outside of the etcd cluster, and run the hey HTTP benchmark tool with a connection reuse patch to send requests to each etcd cluster member. See the benchmark instructions for the patch and the steps to reproduce our procedures.

The performance is calculated through results of 100 benchmark rounds.

Performance

Single Key Read Performance

key size in bytes number of clients target etcd server average read QPS read QPS stddev average 90th Percentile Latency (ms) latency stddev

64

1

leader only

2303

200

0.49

0.06

64

64

leader only

15048

685

7.60

0.46

64

256

leader only

14508

434

29.76

1.05

256

1

leader only

2162

214

0.52

0.06

256

64

leader only

14789

792

7.69

0.48

256

256

leader only

14424

512

29.92

1.42

64

64

all servers

45752

2048

2.47

0.14

64

256

all servers

46592

1273

10.14

0.59

256

64

all servers

45332

1847

2.48

0.12

256

256

all servers

46485

1340

10.18

0.74

Single Key Write Performance

key size in bytes number of clients target etcd server average write QPS write QPS stddev average 90th Percentile Latency (ms) latency stddev

64

1

leader only

55

4

24.51

13.26

64

64

leader only

2139

125

35.23

3.40

64

256

leader only

4581

581

70.53

10.22

256

1

leader only

56

4

22.37

4.33

256

64

leader only

2052

151

36.83

4.20

256

256

leader only

4442

560

71.59

10.03

64

64

all servers

1625

85

58.51

5.14

64

256

all servers

4461

298

89.47

36.48

256

64

all servers

1599

94

60.11

6.43

256

256

all servers

4315

193

88.98

7.01

Performance Changes

  • Because etcd now records metrics for each API call, read QPS performance seems to see a minor decrease in most scenarios. This minimal performance impact was judged a reasonable investment for the breadth of monitoring and debugging information returned.

  • Write QPS to cluster leaders seems to be increased by a small margin. This is because the main loop and entry apply loops were decoupled in the etcd raft logic, eliminating several blocks between them.

  • Write QPS to all members seems to be increased by a significant margin, because followers now receive the latest commit index sooner, and commit proposals more quickly.

Last modified April 26, 2021: Docsy theme (#244) (86b070b)