结果对比:Tournaments¶
假设我们要分析改进对性能的影响。 首先，我们需要进行benchmark。例如：
esrally --track=pmc --revision=latest --user-tag="intention:baseline_github_1234"
上面我们根据Elasticsearch的最新源代码版本运行benchmark。我们可以使用命令行参数--user-tag提供一个键值对，以记录比赛的指标。
新的测试如下：
esrally --track=pmc --revision=current --user-tag="intention:reduce_alloc_1234"
在进行了两次比赛之后，我们想知道性能的对比。借助Rally，我们可以轻松分析两个测试的差异。首先，我们需要通过esrally list races来找到两个比赛:
dm@io:~ $ esrally list races
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
Recent races:
Race ID Race Timestamp Track Track Parameters Challenge Car User Tags
------------------------------------ ---------------- ------- ------------------ ------------------ -------- ------------------------------
beb154e4-0a05-4f45-ad9f-e34f9a9e51f7 20160518T122341Z pmc append-no-conflicts defaults intention:reduce_alloc_1234
0bfd4542-3821-4c79-81a2-0858636068ce 20160518T112057Z pmc append-no-conflicts defaults intention:baseline_github_1234
0cfb3576-3025-4c17-b672-d6c9e811b93e 20160518T101957Z pmc append-no-conflicts defaults
我们可以看到用户标签可以帮助我们识别两次测试。我们要比较两个最近的比赛，并在下一步中必须提供两个比赛ID：
dm@io:~ $ esrally compare --baseline=0bfd4542-3821-4c79-81a2-0858636068ce --contender=beb154e4-0a05-4f45-ad9f-e34f9a9e51f7
____ ____
/ __ \____ _/ / /_ __
/ /_/ / __ `/ / / / / /
/ _, _/ /_/ / / / /_/ /
/_/ |_|\__,_/_/_/\__, /
/____/
Comparing baseline
Race ID: 0bfd4542-3821-4c79-81a2-0858636068ce
Race timestamp: 2016-05-18 11:20:57
Challenge: append-no-conflicts
Car: defaults
with contender
Race ID: beb154e4-0a05-4f45-ad9f-e34f9a9e51f7
Race timestamp: 2016-05-18 12:23:41
Challenge: append-no-conflicts
Car: defaults
------------------------------------------------------
_______ __ _____
/ ____(_)___ ____ _/ / / ___/_________ ________
/ /_ / / __ \/ __ `/ / \__ \/ ___/ __ \/ ___/ _ \
/ __/ / / / / / /_/ / / ___/ / /__/ /_/ / / / __/
/_/ /_/_/ /_/\__,_/_/ /____/\___/\____/_/ \___/
------------------------------------------------------
Metric Baseline Contender Diff
-------------------------------------------------------- ---------- ----------- -----------------
Min Indexing Throughput [docs/s] 19501 19118 -383.00000
Median Indexing Throughput [docs/s] 20232 19927.5 -304.45833
Max Indexing Throughput [docs/s] 21172 20849 -323.00000
Total indexing time [min] 55.7989 56.335 +0.53603
Total merge time [min] 12.9766 13.3115 +0.33495
Total refresh time [min] 5.20067 5.20097 +0.00030
Total flush time [min] 0.0648667 0.0681833 +0.00332
Total merge throttle time [min] 0.796417 0.879267 +0.08285
Query latency term (50.0 percentile) [ms] 2.10049 2.15421 +0.05372
Query latency term (90.0 percentile) [ms] 2.77537 2.84168 +0.06630
Query latency term (100.0 percentile) [ms] 4.52081 5.15368 +0.63287
Query latency country_agg (50.0 percentile) [ms] 112.049 110.385 -1.66392
Query latency country_agg (90.0 percentile) [ms] 128.426 124.005 -4.42138
Query latency country_agg (100.0 percentile) [ms] 155.989 133.797 -22.19185
Query latency scroll (50.0 percentile) [ms] 16.1226 14.4974 -1.62519
Query latency scroll (90.0 percentile) [ms] 17.2383 15.4079 -1.83043
Query latency scroll (100.0 percentile) [ms] 18.8419 18.4241 -0.41784
Query latency country_agg_cached (50.0 percentile) [ms] 1.70223 1.64502 -0.05721
Query latency country_agg_cached (90.0 percentile) [ms] 2.34819 2.04318 -0.30500
Query latency country_agg_cached (100.0 percentile) [ms] 3.42547 2.86814 -0.55732
Query latency default (50.0 percentile) [ms] 5.89058 5.83409 -0.05648
Query latency default (90.0 percentile) [ms] 6.71282 6.64662 -0.06620
Query latency default (100.0 percentile) [ms] 7.65307 7.3701 -0.28297
Query latency phrase (50.0 percentile) [ms] 1.82687 1.83193 +0.00506
Query latency phrase (90.0 percentile) [ms] 2.63714 2.46286 -0.17428
Query latency phrase (100.0 percentile) [ms] 5.39892 4.22367 -1.17525
Median CPU usage (index) [%] 668.025 679.15 +11.12499
Median CPU usage (stats) [%] 143.75 162.4 +18.64999
Median CPU usage (search) [%] 223.1 229.2 +6.10000
Total Young Gen GC [s] 39.447 40.456 +1.00900
Total Old Gen GC [s] 7.108 7.703 +0.59500
Index size [GB] 3.25475 3.25098 -0.00377
Total written [GB] 17.8434 18.3143 +0.47083
Heap used for segments [MB] 21.7504 21.5901 -0.16037
Heap used for doc values [MB] 0.16436 0.13905 -0.02531
Heap used for terms [MB] 20.0293 19.9159 -0.11345
Heap used for norms [MB] 0.105469 0.0935669 -0.01190
Heap used for points [MB] 0.773487 0.772155 -0.00133
Heap used for points [MB] 0.677795 0.669426 -0.00837
Segment count 136 121 -15.00000
Indices Stats(90.0 percentile) [ms] 3.16053 3.21023 +0.04969
Indices Stats(99.0 percentile) [ms] 5.29526 3.94132 -1.35393
Indices Stats(100.0 percentile) [ms] 5.64971 7.02374 +1.37403
Nodes Stats(90.0 percentile) [ms] 3.19611 3.15251 -0.04360
Nodes Stats(99.0 percentile) [ms] 4.44111 4.87003 +0.42892
Nodes Stats(100.0 percentile) [ms] 5.22527 5.66977 +0.44450