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MongoDB基准测试

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一、基础

  1. 适合MongoDB的场景

    • 无需要跨文档或跨表的事务及复杂的join查询支持
    • 敏捷迭代的业务,需求变动频繁,数据模型无法确定
      • 如游戏玩家数据
    • 存储的数据格式灵活,不固定,或属于半结构化数据
    • 业务并发访问量大,需数千的QPS
    • TB级以上的海量数据存储,且数据量不断增加
    • 要求存储的数据持久化、不丢失
    • 需要99.999%的数据高可用性
    • 需要大量的地理位置查询、文本查询
      • 游戏、电商、社交、视频直播、物流、监控、日志数据存储,第三方信息抓取、地图、打车、外卖等
  2. 安装MongoDB,省略

    • 笔者安装目录:/usr/local/mongodb-4.2.5
  3. 运行 cd /usr/local/mongodb-4.2.5 &&./bin/mongod -f 27017.conf

    • 27017.conf

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      #笔者使用了复制集模式,通过开启27017、27018、27019三个端口实现
      dbpath = /usr/local/mongodb-4.2.5/data/27017
      logpath = /usr/local/mongodb-4.2.5/logs/27017/mongo.log
      port = 27017

      fork = true
      logappend=true
      replSet = my_replset
  4. 查看运行状态ps -ef|grep mongo

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    501 32276     1   0  5:39下午 ??         0:10.03 ./bin/mongod -f 27017.conf
  5. TPCC事务:TPCC是TPC组织联合Oracle、IBM、思科等企业制定的单机事务数据库测试基准。它模拟了一个仓储物流的业务场景,包括新建订单、付款、发货、订单查询、库存查询五个事务操作。执行TPCC测试程序,将会得到被测系统的吞吐量、时延、事务完成数等信息。

二、使用

  1. sysbench

    • 克隆代码:git clone https://github.com/tmcallaghan/sysbench-mongodb.git mongo-sysbench

    • 切换目录:cd mongo-sysbench

    • 安装依赖

      • wget https://oss.sonatype.org/content/repositories/releases/org/mongodb/mongo-java-driver/3.9.1/mongo-java-driver-3.9.1.jar
      • wget https://oss.sonatype.org/content/repositories/releases/org/mongodb/mongodb-driver-core/3.9.1/mongodb-driver-core-3.9.1.jar
      • wget https://oss.sonatype.org/content/repositories/releases/org/mongodb/mongodb-driver-legacy/3.9.1/mongodb-driver-legacy-3.9.1.jar
    • 修改配置文件config.bash,注掉了用户名和密码

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      # database username on DB_NAME
      #export USERNAME=<replace-with-username>

      # database password to use for USERNAME
      #export PASSWORD=<replace-with-password>

      # name of the server to connect to
      export MONGO_SERVER=127.0.0.1
    • 执行测试./run.simple.bash

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      2021年11月27日 星期六 17时54分18秒 CST | sysbench benchmark duration = 00:00:00:30

      ************************************************************************
      final interval(s)
      ************************************************************************
      Thread[main,5,main] auto commit = Y
      Thread[main,5,main] run seconds = 600
      Thread[main,5,main] oltp range size = 100
      Thread[main,5,main] oltp point selects = 10
      Thread[main,5,main] oltp simple ranges = 1
      Thread[main,5,main] oltp sum ranges = 1
      Thread[main,5,main] oltp order ranges = 1
      Thread[main,5,main] oltp distinct ranges = 1
      Thread[main,5,main] oltp index updates = 1
      Thread[main,5,main] oltp non index updates = 1
      Thread[main,5,main] oltp inserts = 1
      Thread[main,5,main] write concern = ACKNOWLEDGED
      Thread[main,5,main] maximum tps (global) = 999999
      Thread[main,5,main] maximum tps (per thread) = 31250
      Thread[main,5,main] Server:Port = 127.0.0.1:27017
      Thread[main,5,main] seed = 1638006795
      Thread[main,5,main] userName =
      Thread[main,5,main] read preference = secondaryPreferred
      Thread[main,5,main] use SSL = false

      2021年11月27日 星期六 17时54分18秒 CST | sysbench benchmark duration = 00:00:00:30
    • 可通过调整配置文件config.bash里的参数多次验证

    • 可自定义脚本进行测试

  2. YCSB:cat mongodb-binding/README.md,查看使用方法

    • 安装MongoDB并启动服务

    • 安装Java

    • 安装mvn

      • brew install mvn
    • 下载源码包,笔者用curl较慢,wget较快

      • curl -O --location https://github.com/brianfrankcooper/YCSB/releases/download/0.17.0/ycsb-0.17.0.tar.gz
      • wget https://github.com/brianfrankcooper/YCSB/releases/download/0.17.0/ycsb-0.17.0.tar.gz
    • mkdir mongo-ycsb

    • 解压文件tar -zxvf ycsb-0.17.0.tar.gz -C mongo-ycsb

    • cd mongo-ycsb/ycsb-0.17.0

      • ./bin/ycsb load mongodb-async -s -P workloads/workloada > outputLoad.txt

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        Loading workload...
        Starting test.
        2021-11-28 01:02:51:219 0 sec: 0 operations; est completion in 0 second
        DBWrapper: report latency for each error is false and specific error codes to track for latency are: []
        2021-11-28 01:02:51:356 0 sec: 0 operations; est completion in 106751991167300 days 15 hours [CLEANUP: Count=1, Max=999, Min=999, Avg=999, 90=999, 99=999, 99.9=999, 99.99=999] [INSERT: Count=0, Max=0, Min=9223372036854775807, Avg=NaN, 90=0, 99=0, 99.9=0, 99.99=0] [INSERT-FAILED: Count=1, Max=89535, Min=89472, Avg=89504, 90=89535, 99=89535, 99.9=89535, 99.99=89535]
      • ./bin/ycsb run mongodb-async -s -P workloads/workloada > outputRun.txt

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        Loading workload...
        Starting test.
        2021-11-28 01:01:04:933 0 sec: 0 operations; est completion in 0 second
        DBWrapper: report latency for each error is false and specific error codes to track for latency are: []
        2021-11-28 01:01:05:477 0 sec: 1000 operations; 1838.24 current ops/sec; [READ: Count=496, Max=3859, Min=92, Avg=247.48, 90=335, 99=772, 99.9=3859, 99.99=3859] [CLEANUP: Count=1, Max=1193, Min=1193, Avg=1193, 90=1193, 99=1193, 99.9=1193, 99.99=1193] [UPDATE: Count=504, Max=106751, Min=209, Avg=669.33, 90=611, 99=1188, 99.9=9151, 99.99=106751]
  3. mongo-perf

    • git clone https://github.com/mongodb/mongo-perf.git

    • cd mongo-perf

    • pip install -r requirements.txt

    • testcases有各种测试脚本,当然也可以根据需求自定义脚本

      • python benchrun.py -f testcases/simple_insert.js -t 1 2 4
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      MongoDB shell version v4.0.11
      connecting to: mongodb://localhost:27017/?gssapiServiceName=mongodb
      Implicit session: session { "id" : UUID("d364c43c-6a62-4576-99c8-ffb57db0e798") }
      MongoDB server version: 4.2.5
      WARNING: shell and server versions do not match
      db version: 4.2.5
      2261279b51ea13df08ae708ff278f0679c59dc32

      load('util/utils.js');
      load('util/docGenerators.js');
      load('testcases/simple_insert.js');
      mongoPerfRunTests([1, 2, 4], 1, 1, 5, 1, "%", [], 0, {"writeCmdMode": "true", "readCmdMode": "false", "writeConcern": {"j": "false"}}, false, false, false, {"traceOnly": false});
      Insert.Empty
      1 7269.969787553751
      2 11636.676242500396
      4 15145.821655075235
      Insert.EmptyCapped
      1 6178.765014942947
      2 9150.603016602348
      4 9791.203774341779
      Insert.EmptyCapped.SeqIntID
      1 5579.4225743621355
      2 8780.241197661215
      4 9466.785694439503
      Insert.JustID
      1 6453.887723781281
      2 12039.786947622359
      4 16016.953457184602
      Insert.IntVector
      1 717.5318343558479
      2 961.691778284588
      4 1115.8261508892645
      Insert.SeqIntID.Indexed
      1 6108.172264291902
      2 9288.215849655635
      4 13964.509173907272
      Insert.IntIDUpsert
      1 5083.715985604563
      2 9069.28052532995
      4 12185.743531658685
      Insert.JustNum
      1 6654.262064448619
      2 11584.422657189818
      4 16059.032638414492
      Insert.JustNumIndexed
      1 6211.335337140367
      2 10886.082883453479
      4 14292.314880578622
      InsertIndexedStringsSimpleCollation
      1 6285.506950441219
      2 9731.579107866964
      4 12697.789255975225
      InsertIndexedStringsNonSimpleCollation
      1 6327.584862114689
      2 9951.564032732394
      4 13156.144294716169
      Insert.UniqueIndex
      1 5571.34526527612
      2 9236.483711087776
      4 12684.164055158411
      Insert.UniqueIndexCompound
      1 5861.723296677158
      2 9692.254573277096
      4 12662.311170272338
      Insert.UniqueIndexCompoundReverse
      1 5804.876936608945
      2 8765.051039724734
      4 13390.150569004967
      Insert.LargeDocVector
      1 425.33101130996556
      2 605.821724914963
      4 709.6603909879481
      Finished Testing.
      {
      "errors": [
      0
      ],
      "end": "2021-11-27T17:28:22.165Z",
      "results": [
      {
      "name": "Insert.Empty",
      "results": {
      "1": {
      "ops_per_sec": 7269.969787553751,
      "ops_per_sec_values": [
      7269.969787553751
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:23:37.815Z",
      "2": {
      "ops_per_sec": 11636.676242500396,
      "ops_per_sec_values": [
      11636.676242500396
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:23:55.410Z",
      "4": {
      "ops_per_sec": 15145.821655075235,
      "ops_per_sec_values": [
      15145.821655075235
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.EmptyCapped",
      "results": {
      "1": {
      "ops_per_sec": 6178.765014942947,
      "ops_per_sec_values": [
      6178.765014942947
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:23:55.410Z",
      "2": {
      "ops_per_sec": 9150.603016602348,
      "ops_per_sec_values": [
      9150.603016602348
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:24:13.360Z",
      "4": {
      "ops_per_sec": 9791.203774341779,
      "ops_per_sec_values": [
      9791.203774341779
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.EmptyCapped.SeqIntID",
      "results": {
      "1": {
      "ops_per_sec": 5579.4225743621355,
      "ops_per_sec_values": [
      5579.4225743621355
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:24:13.360Z",
      "2": {
      "ops_per_sec": 8780.241197661215,
      "ops_per_sec_values": [
      8780.241197661215
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:24:30.739Z",
      "4": {
      "ops_per_sec": 9466.785694439503,
      "ops_per_sec_values": [
      9466.785694439503
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.JustID",
      "results": {
      "1": {
      "ops_per_sec": 6453.887723781281,
      "ops_per_sec_values": [
      6453.887723781281
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:24:30.739Z",
      "2": {
      "ops_per_sec": 12039.786947622359,
      "ops_per_sec_values": [
      12039.786947622359
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:24:48.510Z",
      "4": {
      "ops_per_sec": 16016.953457184602,
      "ops_per_sec_values": [
      16016.953457184602
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.IntVector",
      "results": {
      "1": {
      "ops_per_sec": 717.5318343558479,
      "ops_per_sec_values": [
      717.5318343558479
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:24:48.510Z",
      "2": {
      "ops_per_sec": 961.691778284588,
      "ops_per_sec_values": [
      961.691778284588
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:25:07.409Z",
      "4": {
      "ops_per_sec": 1115.8261508892645,
      "ops_per_sec_values": [
      1115.8261508892645
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.SeqIntID.Indexed",
      "results": {
      "1": {
      "ops_per_sec": 6108.172264291902,
      "ops_per_sec_values": [
      6108.172264291902
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:25:07.409Z",
      "2": {
      "ops_per_sec": 9288.215849655635,
      "ops_per_sec_values": [
      9288.215849655635
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:25:28.502Z",
      "4": {
      "ops_per_sec": 13964.509173907272,
      "ops_per_sec_values": [
      13964.509173907272
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.IntIDUpsert",
      "results": {
      "1": {
      "ops_per_sec": 5083.715985604563,
      "ops_per_sec_values": [
      5083.715985604563
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:25:28.503Z",
      "2": {
      "ops_per_sec": 9069.28052532995,
      "ops_per_sec_values": [
      9069.28052532995
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:25:46.102Z",
      "4": {
      "ops_per_sec": 12185.743531658685,
      "ops_per_sec_values": [
      12185.743531658685
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.JustNum",
      "results": {
      "1": {
      "ops_per_sec": 6654.262064448619,
      "ops_per_sec_values": [
      6654.262064448619
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:25:46.102Z",
      "2": {
      "ops_per_sec": 11584.422657189818,
      "ops_per_sec_values": [
      11584.422657189818
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:26:03.679Z",
      "4": {
      "ops_per_sec": 16059.032638414492,
      "ops_per_sec_values": [
      16059.032638414492
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.JustNumIndexed",
      "results": {
      "1": {
      "ops_per_sec": 6211.335337140367,
      "ops_per_sec_values": [
      6211.335337140367
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:26:03.679Z",
      "2": {
      "ops_per_sec": 10886.082883453479,
      "ops_per_sec_values": [
      10886.082883453479
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:26:23.326Z",
      "4": {
      "ops_per_sec": 14292.314880578622,
      "ops_per_sec_values": [
      14292.314880578622
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "InsertIndexedStringsSimpleCollation",
      "results": {
      "1": {
      "ops_per_sec": 6285.506950441219,
      "ops_per_sec_values": [
      6285.506950441219
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:26:23.326Z",
      "2": {
      "ops_per_sec": 9731.579107866964,
      "ops_per_sec_values": [
      9731.579107866964
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:26:42.433Z",
      "4": {
      "ops_per_sec": 12697.789255975225,
      "ops_per_sec_values": [
      12697.789255975225
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "InsertIndexedStringsNonSimpleCollation",
      "results": {
      "1": {
      "ops_per_sec": 6327.584862114689,
      "ops_per_sec_values": [
      6327.584862114689
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:26:42.433Z",
      "2": {
      "ops_per_sec": 9951.564032732394,
      "ops_per_sec_values": [
      9951.564032732394
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:27:01.964Z",
      "4": {
      "ops_per_sec": 13156.144294716169,
      "ops_per_sec_values": [
      13156.144294716169
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.UniqueIndex",
      "results": {
      "1": {
      "ops_per_sec": 5571.34526527612,
      "ops_per_sec_values": [
      5571.34526527612
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:27:01.964Z",
      "2": {
      "ops_per_sec": 9236.483711087776,
      "ops_per_sec_values": [
      9236.483711087776
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:27:22.438Z",
      "4": {
      "ops_per_sec": 12684.164055158411,
      "ops_per_sec_values": [
      12684.164055158411
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.UniqueIndexCompound",
      "results": {
      "1": {
      "ops_per_sec": 5861.723296677158,
      "ops_per_sec_values": [
      5861.723296677158
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:27:22.438Z",
      "2": {
      "ops_per_sec": 9692.254573277096,
      "ops_per_sec_values": [
      9692.254573277096
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:27:42.656Z",
      "4": {
      "ops_per_sec": 12662.311170272338,
      "ops_per_sec_values": [
      12662.311170272338
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.UniqueIndexCompoundReverse",
      "results": {
      "1": {
      "ops_per_sec": 5804.876936608945,
      "ops_per_sec_values": [
      5804.876936608945
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:27:42.656Z",
      "2": {
      "ops_per_sec": 8765.051039724734,
      "ops_per_sec_values": [
      8765.051039724734
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:28:03.126Z",
      "4": {
      "ops_per_sec": 13390.150569004967,
      "ops_per_sec_values": [
      13390.150569004967
      ],
      "error_values": [
      0
      ]
      }
      }
      },
      {
      "name": "Insert.LargeDocVector",
      "results": {
      "1": {
      "ops_per_sec": 425.33101130996556,
      "ops_per_sec_values": [
      425.33101130996556
      ],
      "error_values": [
      0
      ]
      },
      "start": "2021-11-27T17:28:03.126Z",
      "2": {
      "ops_per_sec": 605.821724914963,
      "ops_per_sec_values": [
      605.821724914963
      ],
      "error_values": [
      0
      ]
      },
      "end": "2021-11-27T17:28:22.165Z",
      "4": {
      "ops_per_sec": 709.6603909879481,
      "ops_per_sec_values": [
      709.6603909879481
      ],
      "error_values": [
      0
      ]
      }
      }
      }
      ],
      "start": "2021-11-27T17:23:37.814Z",
      "storageEngine": "wiredTiger",
      "basicFields": {
      "crudOptions": {
      "writeCmdMode": "true",
      "readCmdMode": "false",
      "writeConcern": {
      "j": false
      }
      },
      "commit": "2261279b51ea13df08ae708ff278f0679c59dc32",
      "version": "4.2.5",
      "platform": "deprecated"
      }
      }
  4. py-tpcc

    • git clone https://github.com/apavlo/py-tpcc.git mongo-tpcc

    • cd mongo-tpcc/pytpcc

    • python tpcc.py –print-config mongodb > mongodb.config

      • 报错ImportError: No module named pymongo
      • pip install pymongo
        • Requirement already satisfied: pymongo in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (2.7.2)
      • 多Python版本导致的
      • 查看自默认安装路径python -m site
        • /Users/xxxx/Library/Python/2.7/lib/python/site-packages
      • 重新安装并指定位置pip install pymongo --target=/Users/xxxx/Library/Python/2.7/lib/python/site-packages/
      • 重新运行python tpcc.py --print-config mongodb > mongodb.config
    • python tpcc.py --config=mongodb.config mongodb

      1
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      16
      17
      11-28-2021 02:05:22 [<module>:234] INFO : Initializing TPC-C benchmark using MongodbDriver
      11-28-2021 02:05:22 [<module>:244] INFO : Loading TPC-C benchmark data using MongodbDriver
      11-28-2021 02:12:01 [loadFinish:354] INFO : Finished loading tables
      11-28-2021 02:12:01 [execute:056] INFO : Executing benchmark for 60 seconds
      ==================================================================
      Data Loading Time: 398 seconds

      Execution Results after 60 seconds
      ------------------------------------------------------------------
      Executed Time (µs) Rate
      DELIVERY 63 10632275.8198 5.93 txn/s
      NEW_ORDER 745 23894075.6321 31.18 txn/s
      ORDER_STATUS 79 1405402.66037 56.21 txn/s
      PAYMENT 788 21150436.6398 37.26 txn/s
      STOCK_LEVEL 70 2821108.1028 24.81 txn/s
      ------------------------------------------------------------------
      TOTAL 1745 59903298.8548 29.13 txn/s

三、参考

  1. 参考一
  2. 参考二
  3. 参考三
  4. 参考四
  5. 参考五
  6. 参考六