我们知道，最近腾讯云Elasticsearch service上提供了新版本7.14.2，这次版本更新较为低调，相对于原厂每月发版的节奏，国内的云厂商相对比较谨慎，通常是在原厂版本发布多月之后，才会选择一个稳定的版本在公有云的托管服务上提供版本更新。相对而言，7.14.2已经是国内各大云厂商上能够使用到的最新的Elasticsearch版本了。但尽管如此，仍然有不少用户疑问，从7.10.1升级到7.14.2是否值得更新，能带来哪些收益，是否会有问题。因此，这里会通过几篇文章，给大家介绍7.10.1升级到7.14.2，期间两个版本的主要不同。
本文主要集中在性能测试方面，以Elastic官方的压测工具esrally为主，选择其中一个比较典型的数据集奉上压测数据。
测试术语
rally:汽车拉力赛
track:赛道,压测方案，指压测用到的样本数据和压测策略
team/car: es instance
race: 一场比赛，一次压测
tournament: 锦标赛
esrally会提供大量的数据集用于测试，这不一一列举，仅以http_logs这一数据集为例，其路径为：rally/benchmarks/tracks/default/http_logs，包含的文件为：
├── http_logs
│ ├── challenges
│ ├── files.txt
│ ├── index.json
│ ├── index-runtime-fields.json
│ ├── operations
│ ├── pycache
│ ├── README.md
│ ├── _tools
│ ├── track.json
│ └── track.py
其中，测试规则由track.json定义，定义一个压测方案；
track.json包含以下几部分：
- indices:索引定义
- templates:定义indices template
- corpora:定义数据集文件
- operations:具体操作，可以没有，直接在schedule或者challenge内定义
- schedule:执行操作时的负载
- challenge:定义一次race需要经历的operation的集合，可以区分不同测试场景,比如append和update，便于分开统计
测试数据由index.json定义
测试参数
本次对比测试，选择http_logs。因为，通过在git命令在目录rally/benchmarks/tracks/default/下分别执行，git checkout 7.10, git checkout 7.14, 你可以发现，http_logs是唯一使用了match_only_text类型的数据集。具体如下：
{
"settings": {
"index.number_of_shards": {{ number_of_shards | default(5) }},
"index.number_of_replicas": {{ number_of_replicas | default(0) }},
"index.requests.cache.enable": false
},
"mappings": {
"dynamic": "strict",
"_source": {
"enabled": {{ source_enabled | default(true) | tojson }}
},
"properties": {
"@timestamp": {
"format": "strict_date_optional_time||epoch_second",
"type": "date"
},
"message": {
"type": "keyword",
"index": false,
"doc_values": false
},
"clientip": {
"type": "ip"
},
"request": {
"type": "match_only_text",
"fields": {
"raw": {
"ignore_above": 256,
"type": "keyword"
}
}
},
"status": {
"type": "integer"
},
"size": {
"type": "integer"
},
"geoip" : {
"properties" : {
"country_name": { "type": "keyword" },
"city_name": { "type": "keyword" },
"location" : { "type" : "geo_point" }
}
}
}
}
}因此，通过该方案的测试，我们可以更清晰比较7.10与7.14的不同
测试方案
为保证两个版本之间的测试环境一致性，将采取如下的测试步骤：
- 与esrally服务器所在的vpc中，创建一个3节点的7.10.1版本的es集群
image.png - 通过esrally执行http_logs压测，保存测试结果（http_logs的版本通过git checkout为7.10，分片数手动设置为3）
- 将es集群原地直接升级到7.14.2，并删除上次写入的索引
- 通过esrally执行http_logs压测，保存测试结果（http_logs的版本通过git checkout为7.14，分片数手动设置为3）
- 对比两次测试结果
注意，两次测试的结果，均同时发到另外一个ES集群，用于可视化的对比分析
测试结果分析
因为测试的结果太长，因此，以附录的形式附于文末。这里主要给出总结。
从版本的release notes看，从7.10.1到7.14.2，主要的版本更新来自于功能更新层面，包括：
- 可搜索快照正式版（需企业版授权）
- 运行时字段
- Fleet 公测版
- 增强可视化工具Lens的能力
- 支持监督式机器学习
- 正式宣布支持ARM架构
所以，我们其实很难从rally测试中看到太多的不同。因此，需要我们划重点，挑出一些主要的变化即可：
Metric | Task | Baseline | Contender | Diff | Unit | Diff % |
|---|---|---|---|---|---|---|
Store size | 17.5779 | 17.1429 | -0.43506 | GB | -2.48% | |
Heap used for segments | 0.435303 | 0.34417 | -0.09113 | MB | -20.94% | |
Heap used for doc values | 0.19455 | 0.176033 | -0.01852 | MB | -9.52% | |
Heap used for terms | 0.182465 | 0.125092 | -0.05737 | MB | -31.44% | |
Heap used for norms | 0.0057373 | 0.000671387 | -0.00507 | MB | -88.30% | |
Heap used for points | 0 | 0 | 0 | MB | 0.00% | |
Heap used for stored fields | 0.0525513 | 0.0423737 | -0.01018 | MB | -19.37% | |
Segment count | 74 | 52 | -22 | -29.73% | ||
Segment count | 74 | 52 | -22 | -29.73% | ||
Min Throughput | index-append | 108883 | 109834 | 951.141 | docs/s | 0.87% |
Mean Throughput | index-append | 114922 | 115458 | 536.178 | docs/s | 0.47% |
Median Throughput | index-append | 114935 | 115308 | 372.795 | docs/s | 0.32% |
Max Throughput | index-append | 125157 | 125362 | 205.398 | docs/s | 0.16% |
- store size减少了近400M，主要来自于
request字段的类型由text改为match_only_text Heap used for norms减少了 88%， 其原因相同，因为match_only_text关闭了与评分相关的数据索引- 索引速度有所加快，原因同上
而以下关于聚合分析的性能优化，无法在压测中体现
image.png总结
7.14.2相对于7.10.1最重要的更新莫过于可搜索快照以及运行时字段，对于这两个功能的合理利用可以大幅减少数据存储的成本，再配合新的match_only_text字段，主要用于日志场景的用户可以考虑升级。
而对于搜索场景的用户，则可以测试Terms enum API，综合分析其提供的字段值建议功能，是否能给应用场景带来价值。
而且一些变化，比如：ARM架构的支持，匿名访问Dashbaord等，也是值得考虑的运维、机架特性
测试结果附录
_______ __ _____/ _()_ __ / / / /_ ____
/ /_ / / / `/ / __ / _/ / __/
/ / / / / / / // / / / / // /_/ / / / /
// /// //_,/_/ /__/_/_// _/
Metric | Task | Baseline | Contender | Diff | Unit | Diff % |
|---|---|---|---|---|---|---|
Cumulative indexing time of primary shards | 149.806 | 154.628 | 4.82263 | min | 3.22% | |
Min cumulative indexing time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Median cumulative indexing time across primary shard | 1.70811 | 1.66962 | -0.03849 | min | -2.25% | |
Max cumulative indexing time across primary shard | 40.4544 | 40.6824 | 0.22798 | min | 0.56% | |
Cumulative indexing throttle time of primary shards | 0 | 0 | 0 | min | 0.00% | |
Min cumulative indexing throttle time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Median cumulative indexing throttle time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Max cumulative indexing throttle time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Cumulative merge time of primary shards | 118.814 | 120.12 | 1.30553 | min | 1.10% | |
Cumulative merge count of primary shards | 334 | 725 | 391 | 117.07% | ||
Min cumulative merge time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Median cumulative merge time across primary shard | 0.1528 | 0.134533 | -0.01827 | min | -11.95% | |
Max cumulative merge time across primary shard | 37.9473 | 42.7596 | 4.81227 | min | 12.68% | |
Cumulative merge throttle time of primary shards | 40.7357 | 40.1416 | -0.59412 | min | -1.46% | |
Min cumulative merge throttle time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Median cumulative merge throttle time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Max cumulative merge throttle time across primary shard | 14.9642 | 13.7643 | -1.19992 | min | -8.02% | |
Cumulative refresh time of primary shards | 19.005 | 15.0934 | -3.91163 | min | -20.58% | |
Cumulative refresh count of primary shards | 2739 | 6612 | 3873 | 141.40% | ||
Min cumulative refresh time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Median cumulative refresh time across primary shard | 0.217183 | 0.176142 | -0.04104 | min | -18.90% | |
Max cumulative refresh time across primary shard | 4.91215 | 3.63148 | -1.28067 | min | -26.07% | |
Cumulative flush time of primary shards | 2.5866 | 1.8533 | -0.7333 | min | -28.35% | |
Cumulative flush count of primary shards | 132 | 131 | -1 | -0.76% | ||
Min cumulative flush time across primary shard | 0 | 0 | 0 | min | 0.00% | |
Median cumulative flush time across primary shard | 0.013025 | 0.00990833 | -0.00312 | min | -23.93% | |
Max cumulative flush time across primary shard | 0.7248 | 0.53595 | -0.18885 | min | -26.06% | |
Total Young Gen GC time | 159.686 | 201.877 | 42.191 | s | 26.42% | |
Total Young Gen GC count | 17408 | 20202 | 2794 | 16.05% | ||
Total Old Gen GC time | 0 | 0 | 0 | s | 0.00% | |
Total Old Gen GC count | 0 | 0 | 0 | 0.00% | ||
Store size | 17.5779 | 17.1429 | -0.43506 | GB | -2.48% | |
Translog size | 0.0315703 | 0.0503274 | 0.01876 | GB | 59.41% | |
Heap used for segments | 0.435303 | 0.34417 | -0.09113 | MB | -20.94% | |
Heap used for doc values | 0.19455 | 0.176033 | -0.01852 | MB | -9.52% | |
Heap used for terms | 0.182465 | 0.125092 | -0.05737 | MB | -31.44% | |
Heap used for norms | 0.0057373 | 0.000671387 | -0.00507 | MB | -88.30% | |
Heap used for points | 0 | 0 | 0 | MB | 0.00% | |
Heap used for stored fields | 0.0525513 | 0.0423737 | -0.01018 | MB | -19.37% | |
Segment count | 74 | 52 | -22 | -29.73% | ||
Min Throughput | index-append | 108883 | 109834 | 951.141 | docs/s | 0.87% |
Mean Throughput | index-append | 114922 | 115458 | 536.178 | docs/s | 0.47% |
Median Throughput | index-append | 114935 | 115308 | 372.795 | docs/s | 0.32% |
Max Throughput | index-append | 125157 | 125362 | 205.398 | docs/s | 0.16% |
50th percentile latency | index-append | 321.779 | 327.485 | 5.70573 | ms | 1.77% |
90th percentile latency | index-append | 533.378 | 510.85 | -22.5285 | ms | -4.22% |
99th percentile latency | index-append | 1366.46 | 1121.45 | -245.005 | ms | -17.93% |
99.9th percentile latency | index-append | 2475.3 | 1959.62 | -515.684 | ms | -20.83% |
99.99th percentile latency | index-append | 2939.52 | 2447.88 | -491.638 | ms | -16.73% |
100th percentile latency | index-append | 3578.9 | 2579.56 | -999.335 | ms | -27.92% |
50th percentile service time | index-append | 321.78 | 327.485 | 5.70469 | ms | 1.77% |
90th percentile service time | index-append | 533.391 | 510.85 | -22.5415 | ms | -4.23% |
99th percentile service time | index-append | 1366.68 | 1121.45 | -245.228 | ms | -17.94% |
99.9th percentile service time | index-append | 2475.3 | 1959.62 | -515.684 | ms | -20.83% |
99.99th percentile service time | index-append | 2939.52 | 2447.88 | -491.638 | ms | -16.73% |
100th percentile service time | index-append | 3578.9 | 2579.56 | -999.335 | ms | -27.92% |
error rate | index-append | 0 | 0 | 0 | % | 0.00% |
Min Throughput | default | 20.0116 | 8.01225 | -11.9993 | ops/s | -59.96% |
Mean Throughput | default | 20.0126 | 8.01323 | -11.9994 | ops/s | -59.96% |
Median Throughput | default | 20.0125 | 8.0132 | -11.9993 | ops/s | -59.96% |
Max Throughput | default | 20.0137 | 8.01444 | -11.9993 | ops/s | -59.96% |
50th percentile latency | default | 5.54554 | 6.18421 | 0.63867 | ms | 11.52% |
90th percentile latency | default | 9.59301 | 7.56175 | -2.03125 | ms | -21.17% |
99th percentile latency | default | 15.3999 | 15.3726 | -0.02733 | ms | -0.18% |
100th percentile latency | default | 17.7461 | 17.6093 | -0.13676 | ms | -0.77% |
50th percentile service time | default | 4.6762 | 4.39236 | -0.28384 | ms | -6.07% |
90th percentile service time | default | 8.69762 | 5.57245 | -3.12517 | ms | -35.93% |
99th percentile service time | default | 14.8464 | 13.572 | -1.27441 | ms | -8.58% |
100th percentile service time | default | 17.2429 | 15.1161 | -2.1268 | ms | -12.33% |
error rate | default | 0 | 0 | 0 | % | 0.00% |
Min Throughput | term | 49.1588 | 49.3021 | 0.14332 | ops/s | 0.29% |
Mean Throughput | term | 49.2246 | 49.3303 | 0.1057 | ops/s | 0.21% |
Median Throughput | term | 49.2245 | 49.3303 | 0.10575 | ops/s | 0.21% |
Max Throughput | term | 49.2904 | 49.3584 | 0.06803 | ops/s | 0.14% |
50th percentile latency | term | 6.57769 | 6.38964 | -0.18805 | ms | -2.86% |
90th percentile latency | term | 9.02989 | 7.74706 | -1.28283 | ms | -14.21% |
99th percentile latency | term | 22.8338 | 16.6021 | -6.23172 | ms | -27.29% |
100th percentile latency | term | 23.0754 | 18.8683 | -4.20709 | ms | -18.23% |
50th percentile service time | term | 5.43497 | 5.41069 | -0.02429 | ms | -0.45% |
90th percentile service time | term | 8.17052 | 6.85421 | -1.31631 | ms | -16.11% |
99th percentile service time | term | 20.758 | 15.8222 | -4.93577 | ms | -23.78% |
100th percentile service time | term | 20.8855 | 18.2411 | -2.64443 | ms | -12.66% |
error rate | term | 0 | 0 | 0 | % | 0.00% |
Min Throughput | range | 24.4438 | 1.00463 | -23.4392 | ops/s | -95.89% |
Mean Throughput | range | 24.559 | 1.00641 | -23.5526 | ops/s | -95.90% |
Median Throughput | range | 24.5697 | 1.00616 | -23.5635 | ops/s | -95.90% |
Max Throughput | range | 24.6527 | 1.00921 | -23.6435 | ops/s | -95.91% |
50th percentile latency | range | 13.2125 | 19.1614 | 5.94886 | ms | 45.02% |
90th percentile latency | range | 18.2012 | 20.5689 | 2.36766 | ms | 13.01% |
99th percentile latency | range | 25.3066 | 27.5328 | 2.22616 | ms | 8.80% |
100th percentile latency | range | 26.8753 | 32.5699 | 5.69456 | ms | 21.19% |
50th percentile service time | range | 12.1693 | 17.3338 | 5.16452 | ms | 42.44% |
90th percentile service time | range | 17.3298 | 18.4377 | 1.10789 | ms | 6.39% |
99th percentile service time | range | 24.5904 | 26.4062 | 1.81582 | ms | 7.38% |
100th percentile service time | range | 26.3773 | 31.8829 | 5.50554 | ms | 20.87% |
error rate | range | 0 | 0 | 0 | % | 0.00% |
Min Throughput | 200s-in-range | 24.9717 | 32.9441 | 7.9724 | ops/s | 31.93% |
Mean Throughput | 200s-in-range | 24.9738 | 32.9475 | 7.97365 | ops/s | 31.93% |
Median Throughput | 200s-in-range | 24.9739 | 32.9477 | 7.97375 | ops/s | 31.93% |
Max Throughput | 200s-in-range | 24.9756 | 32.9506 | 7.97493 | ops/s | 31.93% |
50th percentile latency | 200s-in-range | 7.8419 | 8.81293 | 0.97103 | ms | 12.38% |
90th percentile latency | 200s-in-range | 11.291 | 11.4584 | 0.16737 | ms | 1.48% |
99th percentile latency | 200s-in-range | 20.3644 | 22.1515 | 1.78709 | ms | 8.78% |
100th percentile latency | 200s-in-range | 21.7352 | 26.3675 | 4.63231 | ms | 21.31% |
50th percentile service time | 200s-in-range | 6.96257 | 8.03834 | 1.07576 | ms | 15.45% |
90th percentile service time | 200s-in-range | 9.71676 | 10.5335 | 0.81677 | ms | 8.41% |
99th percentile service time | 200s-in-range | 19.5433 | 21.5298 | 1.98649 | ms | 10.16% |
100th percentile service time | 200s-in-range | 20.9495 | 25.7635 | 4.81396 | ms | 22.98% |
error rate | 200s-in-range | 0 | 0 | 0 | % | 0.00% |
Min Throughput | 400s-in-range | 49.8587 | 49.935 | 0.07635 | ops/s | 0.15% |
Mean Throughput | 400s-in-range | 49.865 | 49.9358 | 0.07087 | ops/s | 0.14% |
Median Throughput | 400s-in-range | 49.865 | 49.9358 | 0.07087 | ops/s | 0.14% |
Max Throughput | 400s-in-range | 49.8712 | 49.9366 | 0.06539 | ops/s | 0.13% |
50th percentile latency | 400s-in-range | 4.68439 | 4.46375 | -0.22064 | ms | -4.71% |
90th percentile latency | 400s-in-range | 6.36301 | 5.03508 | -1.32793 | ms | -20.87% |
99th percentile latency | 400s-in-range | 11.4676 | 7.73441 | -3.73323 | ms | -32.55% |
100th percentile latency | 400s-in-range | 14.3764 | 8.90604 | -5.4704 | ms | -38.05% |
50th percentile service time | 400s-in-range | 3.84824 | 3.65788 | -0.19036 | ms | -4.95% |
90th percentile service time | 400s-in-range | 5.45247 | 4.27252 | -1.17995 | ms | -21.64% |
99th percentile service time | 400s-in-range | 10.9364 | 6.92335 | -4.01303 | ms | -36.69% |
100th percentile service time | 400s-in-range | 13.9616 | 8.23023 | -5.73134 | ms | -41.05% |
error rate | 400s-in-range | 0 | 0 | 0 | % | 0.00% |
Min Throughput | hourly_agg | 0.200432 | 0.200483 | 5e-05 | ops/s | 0.02% |
Mean Throughput | hourly_agg | 0.200598 | 0.200667 | 7e-05 | ops/s | 0.03% |
Median Throughput | hourly_agg | 0.200575 | 0.200641 | 7e-05 | ops/s | 0.03% |
Max Throughput | hourly_agg | 0.200859 | 0.200957 | 0.0001 | ops/s | 0.05% |
50th percentile latency | hourly_agg | 2390.6 | 2341.55 | -49.0422 | ms | -2.05% |
90th percentile latency | hourly_agg | 2430.04 | 2445.32 | 15.2752 | ms | 0.63% |
99th percentile latency | hourly_agg | 2548.61 | 2616.33 | 67.7197 | ms | 2.66% |
100th percentile latency | hourly_agg | 2570.15 | 2677.89 | 107.741 | ms | 4.19% |
50th percentile service time | hourly_agg | 2388.67 | 2338.11 | -50.5587 | ms | -2.12% |
90th percentile service time | hourly_agg | 2427.58 | 2441.8 | 14.2227 | ms | 0.59% |
99th percentile service time | hourly_agg | 2545.41 | 2614.57 | 69.1639 | ms | 2.72% |
100th percentile service time | hourly_agg | 2566.94 | 2676.84 | 109.894 | ms | 4.28% |
error rate | hourly_agg | 0 | 0 | 0 | % | 0.00% |
Min Throughput | scroll | 25.0282 | 25.0329 | 0.00466 | pages/s | 0.02% |
Mean Throughput | scroll | 25.0465 | 25.0541 | 0.0076 | pages/s | 0.03% |
Median Throughput | scroll | 25.0423 | 25.0492 | 0.00693 | pages/s | 0.03% |
Max Throughput | scroll | 25.0842 | 25.0979 | 0.01372 | pages/s | 0.05% |
50th percentile latency | scroll | 372.376 | 356.648 | -15.7281 | ms | -4.22% |
90th percentile latency | scroll | 388.204 | 368.826 | -19.378 | ms | -4.99% |
99th percentile latency | scroll | 478.402 | 508.923 | 30.5212 | ms | 6.38% |
100th percentile latency | scroll | 579.492 | 603.644 | 24.1517 | ms | 4.17% |
50th percentile service time | scroll | 370.456 | 354.889 | -15.5667 | ms | -4.20% |
90th percentile service time | scroll | 386.472 | 366.747 | -19.7249 | ms | -5.10% |
99th percentile service time | scroll | 476.037 | 507.359 | 31.3214 | ms | 6.58% |
100th percentile service time | scroll | 577.857 | 602.063 | 24.2059 | ms | 4.19% |
error rate | scroll | 0 | 0 | 0 | % | 0.00% |
Min Throughput | desc_sort_timestamp | 2.00365 | 0.501481 | -1.50217 | ops/s | -74.97% |
Mean Throughput | desc_sort_timestamp | 2.00442 | 0.501799 | -1.50262 | ops/s | -74.97% |
Median Throughput | desc_sort_timestamp | 2.00436 | 0.501774 | -1.50258 | ops/s | -74.97% |
Max Throughput | desc_sort_timestamp | 2.00543 | 0.502214 | -1.50322 | ops/s | -74.96% |
50th percentile latency | desc_sort_timestamp | 38.4097 | 46.0606 | 7.65091 | ms | 19.92% |
90th percentile latency | desc_sort_timestamp | 45.1163 | 50.227 | 5.11068 | ms | 11.33% |
99th percentile latency | desc_sort_timestamp | 86.7128 | 57.0004 | -29.7125 | ms | -34.27% |
100th percentile latency | desc_sort_timestamp | 116.341 | 58.2039 | -58.1373 | ms | -49.97% |
50th percentile service time | desc_sort_timestamp | 36.8282 | 43.3239 | 6.4957 | ms | 17.64% |
90th percentile service time | desc_sort_timestamp | 43.8286 | 47.8833 | 4.05463 | ms | 9.25% |
99th percentile service time | desc_sort_timestamp | 85.613 | 54.4289 | -31.1841 | ms | -36.42% |
100th percentile service time | desc_sort_timestamp | 115.4 | 56.1846 | -59.2153 | ms | -51.31% |
error rate | desc_sort_timestamp | 0 | 0 | 0 | % | 0.00% |
Min Throughput | asc_sort_timestamp | 19.8487 | 0.501625 | -19.347 | ops/s | -97.47% |
Mean Throughput | asc_sort_timestamp | 19.8708 | 0.501974 | -19.3689 | ops/s | -97.47% |
Median Throughput | asc_sort_timestamp | 19.8719 | 0.501948 | -19.3699 | ops/s | -97.47% |
Max Throughput | asc_sort_timestamp | 19.8894 | 0.502432 | -19.387 | ops/s | -97.47% |
50th percentile latency | asc_sort_timestamp | 10.2326 | 11.1864 | 0.95374 | ms | 9.32% |
90th percentile latency | asc_sort_timestamp | 14.6524 | 14.6433 | -0.00905 | ms | -0.06% |
99th percentile latency | asc_sort_timestamp | 20.8715 | 22.4271 | 1.55568 | ms | 7.45% |
100th percentile latency | asc_sort_timestamp | 20.9129 | 26.0099 | 5.09703 | ms | 24.37% |
50th percentile service time | asc_sort_timestamp | 9.35462 | 9.22597 | -0.12865 | ms | -1.38% |
90th percentile service time | asc_sort_timestamp | 13.5687 | 11.659 | -1.90971 | ms | -14.07% |
99th percentile service time | asc_sort_timestamp | 20.1754 | 19.3997 | -0.77577 | ms | -3.85% |
100th percentile service time | asc_sort_timestamp | 20.5059 | 23.3318 | 2.8259 | ms | 13.78% |
error rate | asc_sort_timestamp | 0 | 0 | 0 | % | 0.00% |
Min Throughput | desc_sort_with_after_timestamp | 0.406083 | 0.420066 | 0.01398 | ops/s | 3.44% |
Mean Throughput | desc_sort_with_after_timestamp | 0.407612 | 0.421495 | 0.01388 | ops/s | 3.41% |
Median Throughput | desc_sort_with_after_timestamp | 0.407734 | 0.421106 | 0.01337 | ops/s | 3.28% |
Max Throughput | desc_sort_with_after_timestamp | 0.408331 | 0.428885 | 0.02055 | ops/s | 5.03% |
50th percentile latency | desc_sort_with_after_timestamp | 88694.3 | 24623 | -64071.3 | ms | -72.24% |
90th percentile latency | desc_sort_with_after_timestamp | 147380 | 40166.3 | -107214 | ms | -72.75% |
99th percentile latency | desc_sort_with_after_timestamp | 161067 | 43585.4 | -117482 | ms | -72.94% |
100th percentile latency | desc_sort_with_after_timestamp | 161808 | 43771.9 | -118036 | ms | -72.95% |
50th percentile service time | desc_sort_with_after_timestamp | 2444.96 | 2375.24 | -69.7207 | ms | -2.85% |
90th percentile service time | desc_sort_with_after_timestamp | 2525.34 | 2431.62 | -93.7266 | ms | -3.71% |
99th percentile service time | desc_sort_with_after_timestamp | 2633.91 | 2518.66 | -115.244 | ms | -4.38% |
100th percentile service time | desc_sort_with_after_timestamp | 2654.69 | 2522.89 | -131.792 | ms | -4.96% |
error rate | desc_sort_with_after_timestamp | 0 | 0 | 0 | % | 0.00% |
Min Throughput | asc_sort_with_after_timestamp | 0.500039 | 0.500356 | 0.00032 | ops/s | 0.06% |
Mean Throughput | asc_sort_with_after_timestamp | 0.500393 | 0.500911 | 0.00052 | ops/s | 0.10% |
Median Throughput | asc_sort_with_after_timestamp | 0.500278 | 0.500634 | 0.00036 | ops/s | 0.07% |
Max Throughput | asc_sort_with_after_timestamp | 0.50152 | 0.503561 | 0.00204 | ops/s | 0.41% |
50th percentile latency | asc_sort_with_after_timestamp | 1881.78 | 1842.65 | -39.1326 | ms | -2.08% |
90th percentile latency | asc_sort_with_after_timestamp | 1940.92 | 1895.39 | -45.5221 | ms | -2.35% |
99th percentile latency | asc_sort_with_after_timestamp | 2034.58 | 2037.34 | 2.76288 | ms | 0.14% |
100th percentile latency | asc_sort_with_after_timestamp | 2052.14 | 2092.78 | 40.6455 | ms | 1.98% |
50th percentile service time | asc_sort_with_after_timestamp | 1880.12 | 1841.19 | -38.9304 | ms | -2.07% |
90th percentile service time | asc_sort_with_after_timestamp | 1940.07 | 1890.79 | -49.2852 | ms | -2.54% |
99th percentile service time | asc_sort_with_after_timestamp | 2032.96 | 2036.45 | 3.48926 | ms | 0.17% |
100th percentile service time | asc_sort_with_after_timestamp | 2050.01 | 2091.59 | 41.5772 | ms | 2.03% |
error rate | asc_sort_with_after_timestamp | 0 | 0 | 0 | % | 0.00% |
Min Throughput | desc-sort-timestamp-after-force-merge-1-seg | 0.997876 | 2.00258 | 1.0047 | ops/s | 100.68% |
Mean Throughput | desc-sort-timestamp-after-force-merge-1-seg | 0.999108 | 2.00311 | 1.00401 | ops/s | 100.49% |
Median Throughput | desc-sort-timestamp-after-force-merge-1-seg | 0.999184 | 2.00307 | 1.00389 | ops/s | 100.47% |
Max Throughput | desc-sort-timestamp-after-force-merge-1-seg | 0.999384 | 2.0038 | 1.00442 | ops/s | 100.50% |
50th percentile latency | desc-sort-timestamp-after-force-merge-1-seg | 1012.41 | 204.456 | -807.955 | ms | -79.81% |
90th percentile latency | desc-sort-timestamp-after-force-merge-1-seg | 1125.1 | 217.552 | -907.552 | ms | -80.66% |
99th percentile latency | desc-sort-timestamp-after-force-merge-1-seg | 1250.83 | 256.428 | -994.398 | ms | -79.50% |
100th percentile latency | desc-sort-timestamp-after-force-merge-1-seg | 1265.08 | 274.396 | -990.682 | ms | -78.31% |
50th percentile service time | desc-sort-timestamp-after-force-merge-1-seg | 1000.71 | 203.032 | -797.677 | ms | -79.71% |
90th percentile service time | desc-sort-timestamp-after-force-merge-1-seg | 1028.83 | 215.9 | -812.935 | ms | -79.02% |
99th percentile service time | desc-sort-timestamp-after-force-merge-1-seg | 1144.34 | 255.44 | -888.897 | ms | -77.68% |
100th percentile service time | desc-sort-timestamp-after-force-merge-1-seg | 1158.71 | 273.284 | -885.423 | ms | -76.41% |
error rate | desc-sort-timestamp-after-force-merge-1-seg | 0 | 0 | 0 | % | 0.00% |
Min Throughput | asc-sort-timestamp-after-force-merge-1-seg | 49.9805 | 2.00617 | -47.9744 | ops/s | -95.99% |
Mean Throughput | asc-sort-timestamp-after-force-merge-1-seg | 49.9809 | 2.00749 | -47.9734 | ops/s | -95.98% |
Median Throughput | asc-sort-timestamp-after-force-merge-1-seg | 49.9809 | 2.00737 | -47.9736 | ops/s | -95.98% |
Max Throughput | asc-sort-timestamp-after-force-merge-1-seg | 49.9813 | 2.00921 | -47.9721 | ops/s | -95.98% |
50th percentile latency | asc-sort-timestamp-after-force-merge-1-seg | 14.5971 | 28.6633 | 14.0661 | ms | 96.36% |
90th percentile latency | asc-sort-timestamp-after-force-merge-1-seg | 88.5212 | 34.0156 | -54.5056 | ms | -61.57% |
99th percentile latency | asc-sort-timestamp-after-force-merge-1-seg | 112.765 | 47.2066 | -65.5583 | ms | -58.14% |
100th percentile latency | asc-sort-timestamp-after-force-merge-1-seg | 113.786 | 49.9852 | -63.8007 | ms | -56.07% |
50th percentile service time | asc-sort-timestamp-after-force-merge-1-seg | 11.4171 | 26.4398 | 15.0227 | ms | 131.58% |
90th percentile service time | asc-sort-timestamp-after-force-merge-1-seg | 19.0515 | 31.5447 | 12.4931 | ms | 65.58% |
99th percentile service time | asc-sort-timestamp-after-force-merge-1-seg | 66.4443 | 45.7023 | -20.742 | ms | -31.22% |
100th percentile service time | asc-sort-timestamp-after-force-merge-1-seg | 69.5908 | 48.6049 | -20.9859 | ms | -30.16% |
error rate | asc-sort-timestamp-after-force-merge-1-seg | 0 | 0 | 0 | % | 0.00% |
Min Throughput | desc-sort-with-after-timestamp-after-force-merge-1-seg | 0.402276 | 0.411587 | 0.00931 | ops/s | 2.31% |
Mean Throughput | desc-sort-with-after-timestamp-after-force-merge-1-seg | 0.410018 | 0.41961 | 0.00959 | ops/s | 2.34% |
Median Throughput | desc-sort-with-after-timestamp-after-force-merge-1-seg | 0.410444 | 0.420725 | 0.01028 | ops/s | 2.50% |
Max Throughput | desc-sort-with-after-timestamp-after-force-merge-1-seg | 0.411837 | 0.422242 | 0.01041 | ops/s | 2.53% |
50th percentile latency | desc-sort-with-after-timestamp-after-force-merge-1-seg | 87710 | 24481.7 | -63228.3 | ms | -72.09% |
90th percentile latency | desc-sort-with-after-timestamp-after-force-merge-1-seg | 144442 | 38871.5 | -105570 | ms | -73.09% |
99th percentile latency | desc-sort-with-after-timestamp-after-force-merge-1-seg | 157061 | 42545.7 | -114515 | ms | -72.91% |
100th percentile latency | desc-sort-with-after-timestamp-after-force-merge-1-seg | 157751 | 42715.3 | -115035 | ms | -72.92% |
50th percentile service time | desc-sort-with-after-timestamp-after-force-merge-1-seg | 2405.91 | 2350.46 | -55.4477 | ms | -2.30% |
90th percentile service time | desc-sort-with-after-timestamp-after-force-merge-1-seg | 2494.9 | 2408.06 | -86.8397 | ms | -3.48% |
99th percentile service time | desc-sort-with-after-timestamp-after-force-merge-1-seg | 2574.63 | 2634.66 | 60.036 | ms | 2.33% |
100th percentile service time | desc-sort-with-after-timestamp-after-force-merge-1-seg | 2576.38 | 2685.25 | 108.87 | ms | 4.23% |
error rate | desc-sort-with-after-timestamp-after-force-merge-1-seg | 0 | 0 | 0 | % | 0.00% |
Min Throughput | asc-sort-with-after-timestamp-after-force-merge-1-seg | 0.500202 | 0.500345 | 0.00014 | ops/s | 0.03% |
Mean Throughput | asc-sort-with-after-timestamp-after-force-merge-1-seg | 0.500731 | 0.500896 | 0.00017 | ops/s | 0.03% |
Median Throughput | asc-sort-with-after-timestamp-after-force-merge-1-seg | 0.500506 | 0.500628 | 0.00012 | ops/s | 0.02% |
Max Throughput | asc-sort-with-after-timestamp-after-force-merge-1-seg | 0.502882 | 0.503477 | 0.0006 | ops/s | 0.12% |
50th percentile latency | asc-sort-with-after-timestamp-after-force-merge-1-seg | 1881.26 | 1837.43 | -43.8301 | ms | -2.33% |
90th percentile latency | asc-sort-with-after-timestamp-after-force-merge-1-seg | 1951.78 | 1906.24 | -45.5401 | ms | -2.33% |
99th percentile latency | asc-sort-with-after-timestamp-after-force-merge-1-seg | 2091.2 | 1975.08 | -116.124 | ms | -5.55% |
100th percentile latency | asc-sort-with-after-timestamp-after-force-merge-1-seg | 2097.85 | 1982.95 | -114.894 | ms | -5.48% |
50th percentile service time | asc-sort-with-after-timestamp-after-force-merge-1-seg | 1879.96 | 1836.31 | -43.6483 | ms | -2.32% |
90th percentile service time | asc-sort-with-after-timestamp-after-force-merge-1-seg | 1944.69 | 1905.23 | -39.4579 | ms | -2.03% |
99th percentile service time | asc-sort-with-after-timestamp-after-force-merge-1-seg | 2048.4 | 1973.62 | -74.7806 | ms | -3.65% |
100th percentile service time | asc-sort-with-after-timestamp-after-force-merge-1-seg | 2076.84 | 1981.47 | -95.3767 | ms | -4.59% |
error rate | asc-sort-with-after-timestamp-after-force-merge-1-seg | 0 | 0 | 0 | % | 0.00% |
