Patroni

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Benchmarking etcd v2.2.0-rc

Physical machine

GCE n1-highcpu-2 machine type

  • 1x dedicated local SSD mounted under /var/lib/etcd

  • 1x dedicated slow disk for the OS

  • 1.8 GB memory

  • 2x CPUs

etcd Cluster

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

Detailed versions:

etcd Version: 2.2.0-alpha.1+git
Git SHA: 59a5a7e
Go Version: go1.4.2
Go OS/Arch: linux/amd64

Also, we use 3 etcd 2.1.0 alpha-stage members to form cluster to get base performance. etcd’s commit head is at c7146bd5, which is the same as the one that we use in etcd 2.1 benchmark.

Testing

Bootstrap another machine and use the hey HTTP benchmark tool to send requests to each etcd member. Check the benchmark hacking guide for detailed instructions.

Performance

reading one single key

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

64

1

leader only

2804 (-5%)

0.4 (+0%)

64

64

leader only

17816 (+0%)

5.7 (-6%)

64

256

leader only

18667 (-6%)

20.4 (+2%)

256

1

leader only

2181 (-15%)

0.5 (+25%)

256

64

leader only

17435 (-7%)

6.0 (+9%)

256

256

leader only

18180 (-8%)

21.3 (+3%)

64

64

all servers

46965 (-4%)

2.1 (+0%)

64

256

all servers

55286 (-6%)

7.4 (+6%)

256

64

all servers

46603 (-6%)

2.1 (+5%)

256

256

all servers

55291 (-6%)

7.3 (+4%)

writing one single key

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

64

1

leader only

76 (+22%)

19.4 (-15%)

64

64

leader only

2461 (+45%)

31.8 (-32%)

64

256

leader only

4275 (+1%)

69.6 (-10%)

256

1

leader only

64 (+20%)

16.7 (-30%)

256

64

leader only

2385 (+30%)

31.5 (-19%)

256

256

leader only

4353 (-3%)

74.0 (+9%)

64

64

all servers

2005 (+81%)

49.8 (-55%)

64

256

all servers

4868 (+35%)

81.5 (-40%)

256

64

all servers

1925 (+72%)

47.7 (-59%)

256

256

all servers

4975 (+36%)

70.3 (-36%)

performance changes explanation

  • read QPS in most scenarios is decreased by 5~8%. The reason is that etcd records store metrics for each store operation. The metrics is important for monitoring and debugging, so this is acceptable.

  • write QPS to leader is increased by 20~30%. This is because we decouple raft main loop and entry apply loop, which avoids them blocking each other.

  • write QPS to all servers is increased by 30~80% because follower could receive latest commit index earlier and commit proposals faster.

Last modified August 17, 2021: fix links in 3.3 (#448) (30938c5)