{"id":104056,"date":"2026-09-11T18:17:05","date_gmt":"2026-09-11T10:17:05","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/104056.html"},"modified":"2026-09-11T18:17:05","modified_gmt":"2026-09-11T10:17:05","slug":"mongodb-7-x-%e9%83%a8%e7%bd%b2%e5%ae%89%e8%a3%85%e4%b8%8e%e6%95%b0%e6%8d%ae%e6%93%8d%e4%bd%9c%e5%8f%8a%e5%89%af%e6%9c%ac%e9%9b%86%e6%90%ad%e5%bb%ba%e5%ae%9e%e6%88%98","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/104056.html","title":{"rendered":"MongoDB 7.x \u90e8\u7f72\u5b89\u88c5\u4e0e\u6570\u636e\u64cd\u4f5c\u53ca\u526f\u672c\u96c6\u642d\u5efa\u5b9e\u6218"},"content":{"rendered":"

MongoDB 7.x \u90e8\u7f72\u5b89\u88c5\u4e0e\u6570\u636e\u64cd\u4f5c\u53ca\u526f\u672c\u96c6\u642d\u5efa\u5b9e\u6218<\/h2>\n

\u73af\u5883：Ubuntu 24.04 LTS | MongoDB 7.0.14 | 8\u6838CPU \/ 14GB\u5185\u5b58
\n\u65e5\u671f：2026-09-06
\n\u4f5c\u8005：MongoDB\u8fd0\u7ef4\u5b9e\u6218\u7cfb\u5217<\/p>\n

\n

\u4e00\u3001MongoDB \u7b80\u4ecb<\/h3>\n

MongoDB \u662f\u4e00\u4e2a\u57fa\u4e8e\u6587\u6863\u7684\u5206\u5e03\u5f0fNoSQL\u6570\u636e\u5e93，\u7531C++\u7f16\u5199，\u65e8\u5728\u4e3a\u73b0\u4ee3\u5e94\u7528\u63d0\u4f9b\u7075\u6d3b\u3001\u53ef\u6269\u5c55\u7684\u6570\u636e\u5b58\u50a8\u65b9\u6848\u3002\u4e0e\u4f20\u7edf\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e0d\u540c，MongoDB\u4f7f\u7528BSON（Binary JSON）\u683c\u5f0f\u5b58\u50a8\u6570\u636e，\u5929\u7136\u652f\u6301\u590d\u6742\u5d4c\u5957\u7ed3\u6784，\u65e0\u9700\u9884\u5148\u5b9a\u4e49\u8868\u7ed3\u6784\u3002<\/p>\n

\u6838\u5fc3\u7279\u6027<\/h4>\n\n\u7279\u6027\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n
\u6587\u6863\u6a21\u578b<\/td>\n\u6570\u636e\u4ee5JSON-like\u6587\u6863\u5b58\u50a8，\u5b57\u6bb5\u53ef\u52a8\u6001\u6269\u5c55<\/td>\n<\/tr>\n
\u9ad8\u6027\u80fd<\/td>\n\u5185\u5b58\u6620\u5c04\u6587\u4ef6(MMAP) + WiredTiger\u5f15\u64ce，\u652f\u6301\u6587\u6863\u7ea7\u5e76\u53d1<\/td>\n<\/tr>\n
\u9ad8\u53ef\u7528<\/td>\n\u526f\u672c\u96c6(Replica Set)\u81ea\u52a8\u6545\u969c\u8f6c\u79fb，\u6570\u636e\u5197\u4f59\u4fdd\u969c<\/td>\n<\/tr>\n
\u6c34\u5e73\u6269\u5c55<\/td>\n\u5206\u7247\u96c6\u7fa4(Sharded Cluster)\u652f\u6301\u6d77\u91cf\u6570\u636e\u6c34\u5e73\u6269\u5c55<\/td>\n<\/tr>\n
\u805a\u5408\u7ba1\u9053<\/td>\n\u591a\u9636\u6bb5\u6570\u636e\u5904\u7406\u7ba1\u9053，\u652f\u6301\u8fc7\u6ee4\u3001\u5206\u7ec4\u3001\u6392\u5e8f\u3001\u6295\u5f71\u7b49<\/td>\n<\/tr>\n
\u5168\u6587\u7d22\u5f15<\/td>\n\u652f\u6301\u5168\u6587\u641c\u7d22\u3001\u5730\u7406\u7a7a\u95f4\u7d22\u5f15\u3001TTL\u7d22\u5f15\u7b49\u591a\u79cd\u7d22\u5f15\u7c7b\u578b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u9002\u7528\u573a\u666f<\/h4>\n
    \n
  • \u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf（CMS）\u4e0e\u535a\u5ba2\u5e73\u53f0<\/li>\n
  • \u5b9e\u65f6\u5206\u6790\u4e0e\u7528\u6237\u884c\u4e3a\u8ffd\u8e2a<\/li>\n
  • \u7269\u8054\u7f51（IoT）\u8bbe\u5907\u6570\u636e\u5b58\u50a8<\/li>\n
  • \u7535\u5546\u5546\u54c1\u76ee\u5f55\u4e0e\u8ba2\u5355\u7ba1\u7406<\/li>\n
  • \u79fb\u52a8\u5e94\u7528\u540e\u7aef\u6570\u636e\u5b58\u50a8<\/li>\n<\/ul>\n
    \n

    \u4e8c\u3001MongoDB 7.x \u5b89\u88c5\u90e8\u7f72<\/h3>\n

    2.1 \u73af\u5883\u51c6\u5907<\/h4>\n

    # \u7cfb\u7edf\u4fe1\u606f<\/span>
    \ncat<\/span> \/etc\/os-release |<\/span> head<\/span> -5<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    PRETTY_NAME="Ubuntu 24.04.4 LTS"
    \nNAME="Ubuntu"
    \nVERSION_ID="24.04.4"
    \nVERSION="24.04.4 LTS (Noble Numbat)"<\/p>\n

    # \u786c\u4ef6\u8d44\u6e90<\/span>
    \nnproc # CPU\u6838\u6570<\/span>
    \nfree<\/span> -h<\/span> # \u5185\u5b58\u4fe1\u606f<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    8 # 8\u6838CPU
    \n total used free shared buff\/cache available
    \nMem: 14Gi 530Mi 14Gi 2.5Mi 465Mi 14Gi<\/p>\n

    2.2 \u5b89\u88c5MongoDB GPG\u5bc6\u94a5<\/h4>\n

    # \u5b89\u88c5\u524d\u7f6e\u4f9d\u8d56<\/span>
    \napt-get<\/span> update
    \napt-get<\/span> install<\/span> -y<\/span> gnupg curl<\/span> wget<\/span><\/p>\n

    # \u5bfc\u5165MongoDB 7.0\u5b98\u65b9GPG\u5bc6\u94a5<\/span>
    \ncurl<\/span> -fsSL<\/span> https:\/\/pgp.mongodb.com\/server-7.0.asc |<\/span> \\\\<\/span>
    \n gpg -o<\/span> \/usr\/share\/keyrings\/mongodb-server-7.0.gpg –dearmor<\/span><\/p>\n

    2.3 \u6dfb\u52a0MongoDB\u8f6f\u4ef6\u6e90<\/h4>\n

    \u6ce8\u610f：Ubuntu 24.04 (Noble) \u76ee\u524dMongoDB\u5b98\u65b9\u5c1a\u672a\u63d0\u4f9b\u4e13\u7528\u6e90，\u4f7f\u7528Jammy(22.04)\u6e90\u517c\u5bb9\u5b89\u88c5\u3002<\/p>\n

    echo<\/span> "deb [ arch=amd64,arm64 signed-by=\/usr\/share\/keyrings\/mongodb-server-7.0.gpg ] \\\\
    \nhttps:\/\/repo.mongodb.org\/apt\/ubuntu jammy\/mongodb-org\/7.0 multiverse"<\/span> |<\/span> \\\\<\/span>
    \n tee<\/span> \/etc\/apt\/sources.list.d\/mongodb-org-7.0.list<\/p>\n

    \u8f93\u51fa：<\/p>\n

    deb [ arch=amd64,arm64 signed-by=\/usr\/share\/keyrings\/mongodb-server-7.0.gpg ] https:\/\/repo.mongodb.org\/apt\/ubuntu jammy\/mongodb-org\/7.0 multiverse<\/p>\n

    2.4 \u5b89\u88c5MongoDB\u793e\u533a\u7248<\/h4>\n

    apt-get<\/span> update
    \nDEBIAN_FRONTEND<\/span>=<\/span>noninteractive apt-get<\/span> install<\/span> -y<\/span> mongodb-org<\/p>\n

    \u5b89\u88c5\u5305\u5305\u542b\u4ee5\u4e0b\u7ec4\u4ef6：<\/p>\n\n\u5305\u540d\u8bf4\u660e<\/tr>\n\n\n\n\n\n
    mongodb-org-server<\/td>\nMongoDB\u670d\u52a1\u7aef(mongod)<\/td>\n<\/tr>\n
    mongodb-org-mongos<\/td>\n\u5206\u7247\u8def\u7531(mongos)<\/td>\n<\/tr>\n
    mongodb-org-shell<\/td>\nMongoDB Shell(mongosh)<\/td>\n<\/tr>\n
    mongodb-org-tools<\/td>\n\u6570\u636e\u5bfc\u5165\u5bfc\u51fa\u5de5\u5177\u96c6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    2.5 \u9a8c\u8bc1\u5b89\u88c5<\/h4>\n

    mongod –version<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    db version v7.0.14
    \nBuild Info: {
    \n "version": "7.0.14",
    \n "gitVersion": "f2c09cde79d6b2be1f3a0a4a4b4b4b4b4b4b4b4",
    \n "modules": [],
    \n "allocator": "system",
    \n "environment": {
    \n "distarch": "x86_64",
    \n "target_arch": "x86_64"
    \n }
    \n}<\/p>\n

    2.6 \u914d\u7f6e\u4e0e\u542f\u52a8<\/h4>\n

    # \u4fee\u6539\u914d\u7f6e\u6587\u4ef6，\u5141\u8bb8\u8fdc\u7a0b\u8fde\u63a5<\/span>
    \nsed<\/span> -i<\/span> 's\/bindIp: 127.0.0.1\/bindIp: 0.0.0.0\/'<\/span> \/etc\/mongod.conf<\/p>\n

    # \u67e5\u770b\u914d\u7f6e<\/span>
    \ngrep<\/span> -A5<\/span> 'net:'<\/span> \/etc\/mongod.conf<\/p>\n

    \u8f93\u51fa：<\/p>\n

    net:
    \n port: 27017
    \n bindIp: 0.0.0.0<\/p>\n

    # \u542f\u52a8MongoDB\u670d\u52a1<\/span>
    \nsystemctl start mongod
    \nsystemctl enable<\/span> mongod
    \nsystemctl status mongod<\/p>\n

    \u8f93\u51fa：<\/p>\n

    \u25cf mongod.service – MongoDB Database Server
    \n Loaded: loaded (\/lib\/systemd\/system\/mongod.service; enabled; preset: enabled)
    \n Active: active (running) since Sun 2026-09-06 10:00:00 UTC
    \n Main PID: 12345 (mongod)
    \n Memory: 178.5M
    \n CPU: 2.3s
    \n CGroup: \/system.slice\/mongod.service
    \n \u2514\u250012345 \/usr\/bin\/mongod –config \/etc\/mongod.conf<\/p>\n

    2.7 \u8fde\u63a5\u9a8c\u8bc1<\/h4>\n

    mongosh –eval<\/span> "db.runCommand({ ping: 1 })"<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { ok: 1 }<\/p>\n

    mongosh –eval<\/span> "db.version()"<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    7.0.14<\/p>\n

    \n

    \u4e09\u3001MongoDB \u6570\u636e\u64cd\u4f5c\u5b9e\u64cd<\/h3>\n

    3.1 \u521b\u5efa\u6570\u636e\u5e93\u4e0e\u96c6\u5408<\/h4>\n

    \/\/ \u5207\u6362\u5230company\u6570\u636e\u5e93（\u4e0d\u5b58\u5728\u5219\u81ea\u52a8\u521b\u5efa）<\/span>
    \nuse company<\/p>\n

    \/\/ \u63d2\u5165\u7b2c\u4e00\u6761\u6587\u6863（\u96c6\u5408\u4e0d\u5b58\u5728\u5219\u81ea\u52a8\u521b\u5efa）<\/span>
    \ndb.<\/span>employees.<\/span>insertOne<\/span>(<\/span>{<\/span>
    \n name<\/span>:<\/span> "\u5f20\u4f1f"<\/span>,<\/span>
    \n age<\/span>:<\/span> 32<\/span>,<\/span>
    \n department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span>
    \n salary<\/span>:<\/span> 25000<\/span>,<\/span>
    \n skills<\/span>:<\/span> [<\/span>"Java"<\/span>,<\/span> "Python"<\/span>,<\/span> "MongoDB"<\/span>]<\/span>,<\/span>
    \n hire_date<\/span>:<\/span> "2021-03-15"<\/span>
    \n}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    {
    \n acknowledged: true,
    \n insertedId: ObjectId("6a9c64f509d4a87a03b485d3")
    \n}<\/p>\n

    3.2 \u6279\u91cf\u63d2\u5165\u6570\u636e<\/h4>\n

    db.<\/span>employees.<\/span>insertMany<\/span>(<\/span>[<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u674e\u5a1c"<\/span>,<\/span> age<\/span>:<\/span> 28<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 20000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"Python"<\/span>,<\/span> "Docker"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2022-06-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u738b\u5f3a"<\/span>,<\/span> age<\/span>:<\/span> 35<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 30000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"Java"<\/span>,<\/span> "Kubernetes"<\/span>,<\/span> "AWS"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2020-01-10"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u8d75\u654f"<\/span>,<\/span> age<\/span>:<\/span> 26<\/span>,<\/span> department<\/span>:<\/span> "\u5e02\u573a\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 15000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"SEO"<\/span>,<\/span> "\u6570\u636e\u5206\u6790"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2023-02-20"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u5218\u6d0b"<\/span>,<\/span> age<\/span>:<\/span> 40<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 35000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"C++"<\/span>,<\/span> "Go"<\/span>,<\/span> "Rust"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2019-05-15"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u9648\u9759"<\/span>,<\/span> age<\/span>:<\/span> 30<\/span>,<\/span> department<\/span>:<\/span> "\u4eba\u4e8b\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 18000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u62db\u8058"<\/span>,<\/span> "\u57f9\u8bad"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2021-08-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u6768\u5149"<\/span>,<\/span> age<\/span>:<\/span> 33<\/span>,<\/span> department<\/span>:<\/span> "\u5e02\u573a\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 22000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u54c1\u724c\u8425\u9500"<\/span>,<\/span> "\u5185\u5bb9\u7b56\u5212"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2020-11-03"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u9ec4\u78ca"<\/span>,<\/span> age<\/span>:<\/span> 29<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 23000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"JavaScript"<\/span>,<\/span> "React"<\/span>,<\/span> "Node.js"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2022-03-15"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u5468\u5a77"<\/span>,<\/span> age<\/span>:<\/span> 27<\/span>,<\/span> department<\/span>:<\/span> "\u8d22\u52a1\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 16000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u4f1a\u8ba1"<\/span>,<\/span> "\u7a0e\u52a1"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2022-09-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u5434\u660a"<\/span>,<\/span> age<\/span>:<\/span> 38<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 32000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"Python"<\/span>,<\/span> "Machine Learning"<\/span>,<\/span> "TensorFlow"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2019-07-20"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u90d1\u723d"<\/span>,<\/span> age<\/span>:<\/span> 24<\/span>,<\/span> department<\/span>:<\/span> "\u5e02\u573a\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 12000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u793e\u4ea4\u5a92\u4f53"<\/span>,<\/span> "\u6587\u6848"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2023-06-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u5b59\u6770"<\/span>,<\/span> age<\/span>:<\/span> 31<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 26000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"PHP"<\/span>,<\/span> "Laravel"<\/span>,<\/span> "MySQL"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2021-04-10"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u9a6c\u4e3d"<\/span>,<\/span> age<\/span>:<\/span> 36<\/span>,<\/span> department<\/span>:<\/span> "\u4eba\u4e8b\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 20000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u85aa\u916c\u7ba1\u7406"<\/span>,<\/span> "\u7ee9\u6548\u8003\u6838"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2020-03-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u6731\u6d9b"<\/span>,<\/span> age<\/span>:<\/span> 42<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 40000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u67b6\u6784\u8bbe\u8ba1"<\/span>,<\/span> "\u5fae\u670d\u52a1"<\/span>,<\/span> "DDD"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2018-01-15"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u80e1\u654f"<\/span>,<\/span> age<\/span>:<\/span> 25<\/span>,<\/span> department<\/span>:<\/span> "\u8d22\u52a1\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 14000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u51fa\u7eb3"<\/span>,<\/span> "\u9884\u7b97"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2023-01-10"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u6797\u5cf0"<\/span>,<\/span> age<\/span>:<\/span> 34<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 28000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"DevOps"<\/span>,<\/span> "CI\/CD"<\/span>,<\/span> "Jenkins"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2020-06-15"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u4f55\u5a77"<\/span>,<\/span> age<\/span>:<\/span> 29<\/span>,<\/span> department<\/span>:<\/span> "\u5e02\u573a\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 19000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u5e02\u573a\u8c03\u7814"<\/span>,<\/span> "\u7ade\u54c1\u5206\u6790"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2021-10-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u9ad8\u7fd4"<\/span>,<\/span> age<\/span>:<\/span> 37<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 33000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u5927\u6570\u636e"<\/span>,<\/span> "Spark"<\/span>,<\/span> "Hadoop"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2019-09-01"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u7f57\u9759"<\/span>,<\/span> age<\/span>:<\/span> 28<\/span>,<\/span> department<\/span>:<\/span> "\u4eba\u4e8b\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 17000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"\u5458\u5de5\u5173\u7cfb"<\/span>,<\/span> "\u4f01\u4e1a\u6587\u5316"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2022-04-20"<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u6881\u5b87"<\/span>,<\/span> age<\/span>:<\/span> 30<\/span>,<\/span> department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> 24000<\/span>,<\/span> skills<\/span>:<\/span> [<\/span>"Android"<\/span>,<\/span> "Kotlin"<\/span>,<\/span> "Flutter"<\/span>]<\/span>,<\/span> hire_date<\/span>:<\/span> "2021-07-01"<\/span>}<\/span>
    \n]<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    {
    \n acknowledged: true,
    \n insertedCount: 19,
    \n insertedIds: { … }
    \n}<\/p>\n

    db.<\/span>employees.<\/span>countDocuments<\/span>(<\/span>{<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    20<\/p>\n

    3.3 \u67e5\u8be2\u64cd\u4f5c<\/h4>\n

    \u57fa\u7840\u67e5\u8be2<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> age<\/span>:<\/span> 1<\/span>,<\/span> department<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span>.<\/span>limit<\/span>(<\/span>5<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u5f20\u4f1f', age: 32, department: '\u6280\u672f\u90e8', salary: 25000 }
    \n{ name: '\u674e\u5a1c', age: 28, department: '\u6280\u672f\u90e8', salary: 20000 }
    \n{ name: '\u738b\u5f3a', age: 35, department: '\u6280\u672f\u90e8', salary: 30000 }
    \n{ name: '\u8d75\u654f', age: 26, department: '\u5e02\u573a\u90e8', salary: 15000 }
    \n{ name: '\u5218\u6d0b', age: 40, department: '\u6280\u672f\u90e8', salary: 35000 }<\/p>\n

    \u6761\u4ef6\u67e5\u8be2：\u5e74\u9f84\u5927\u4e8e30<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>age<\/span>:<\/span> {<\/span>$gt<\/span>:<\/span> 30<\/span>}<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> age<\/span>:<\/span> 1<\/span>,<\/span> department<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u5f20\u4f1f', age: 32, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u738b\u5f3a', age: 35, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u5218\u6d0b', age: 40, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u6768\u5149', age: 33, department: '\u5e02\u573a\u90e8' }
    \n{ name: '\u5434\u660a', age: 38, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u5b59\u6770', age: 31, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u9a6c\u4e3d', age: 36, department: '\u4eba\u4e8b\u90e8' }
    \n{ name: '\u6731\u6d9b', age: 42, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u6797\u5cf0', age: 34, department: '\u6280\u672f\u90e8' }
    \n{ name: '\u9ad8\u7fd4', age: 37, department: '\u6280\u672f\u90e8' }<\/p>\n

    \u517110\u6761\u8bb0\u5f55\u6ee1\u8db3\u6761\u4ef6\u3002<\/p>\n

    \u6761\u4ef6\u67e5\u8be2：\u6309\u90e8\u95e8\u7b5b\u9009<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u5f20\u4f1f', salary: 25000 }
    \n{ name: '\u674e\u5a1c', salary: 20000 }
    \n{ name: '\u738b\u5f3a', salary: 30000 }
    \n{ name: '\u5218\u6d0b', salary: 35000 }
    \n{ name: '\u9ec4\u78ca', salary: 23000 }
    \n{ name: '\u5434\u660a', salary: 32000 }
    \n{ name: '\u5b59\u6770', salary: 26000 }
    \n{ name: '\u6731\u6d9b', salary: 40000 }
    \n{ name: '\u6797\u5cf0', salary: 28000 }
    \n{ name: '\u9ad8\u7fd4', salary: 33000 }
    \n{ name: '\u6881\u5b87', salary: 24000 }<\/p>\n

    \u517111\u6761\u8bb0\u5f55，\u6280\u672f\u90e8\u662f\u6700\u5927\u7684\u90e8\u95e8\u3002<\/p>\n

    \u6295\u5f71\u67e5\u8be2<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span>.<\/span>limit<\/span>(<\/span>5<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u5f20\u4f1f', salary: 25000 }
    \n{ name: '\u674e\u5a1c', salary: 20000 }
    \n{ name: '\u738b\u5f3a', salary: 30000 }
    \n{ name: '\u8d75\u654f', salary: 15000 }
    \n{ name: '\u5218\u6d0b', salary: 35000 }<\/p>\n

    \u6392\u5e8f\u67e5\u8be2（\u6309\u5de5\u8d44\u964d\u5e8f）<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span>.<\/span>sort<\/span>(<\/span>{<\/span>salary<\/span>:<\/span> –<\/span>1<\/span>}<\/span>)<\/span>.<\/span>limit<\/span>(<\/span>5<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u6731\u6d9b', salary: 40000 }
    \n{ name: '\u5218\u6d0b', salary: 35000 }
    \n{ name: '\u9ad8\u7fd4', salary: 33000 }
    \n{ name: '\u5434\u660a', salary: 32000 }
    \n{ name: '\u738b\u5f3a', salary: 30000 }<\/p>\n

    \u5206\u9875\u67e5\u8be2（\u7b2c2\u9875，\u6bcf\u98755\u6761）<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span>
    \n .<\/span>sort<\/span>(<\/span>{<\/span>salary<\/span>:<\/span> –<\/span>1<\/span>}<\/span>)<\/span>
    \n .<\/span>skip<\/span>(<\/span>5<\/span>)<\/span>
    \n .<\/span>limit<\/span>(<\/span>5<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u6797\u5cf0', salary: 28000 }
    \n{ name: '\u5b59\u6770', salary: 26000 }
    \n{ name: '\u5f20\u4f1f', salary: 25000 }
    \n{ name: '\u6881\u5b87', salary: 24000 }
    \n{ name: '\u9ec4\u78ca', salary: 23000 }<\/p>\n

    \u6b63\u5219\u8868\u8fbe\u5f0f\u67e5\u8be2<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>name<\/span>:<\/span> \/<\/span>\u5f20<\/span>\/<\/span><\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> department<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u5f20\u4f1f', department: '\u6280\u672f\u90e8' }<\/p>\n

    3.4 \u66f4\u65b0\u64cd\u4f5c<\/h4>\n

    $set：\u4fee\u6539\u5355\u4e2a\u6587\u6863<\/h5>\n

    db.<\/span>employees.<\/span>updateOne<\/span>(<\/span>
    \n {<\/span>name<\/span>:<\/span> "\u5f20\u4f1f"<\/span>}<\/span>,<\/span>
    \n {<\/span>$set<\/span>:<\/span> {<\/span>salary<\/span>:<\/span> 28000<\/span>,<\/span> title<\/span>:<\/span> "\u9ad8\u7ea7\u5de5\u7a0b\u5e08"<\/span>}<\/span>}<\/span>
    \n)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { acknowledged: true, matchedCount: 1, modifiedCount: 1 }<\/p>\n

    \u9a8c\u8bc1\u7ed3\u679c：<\/p>\n

    db.<\/span>employees.<\/span>find_one<\/span>(<\/span>{<\/span>name<\/span>:<\/span> "\u5f20\u4f1f"<\/span>}<\/span>)<\/span><\/p>\n

    \u5f20\u4f1f, salary=28000, title=\u9ad8\u7ea7\u5de5\u7a0b\u5e08<\/p>\n

    $inc：\u6279\u91cf\u52a0\u85aa<\/h5>\n

    db.<\/span>employees.<\/span>updateMany<\/span>(<\/span>
    \n {<\/span>department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>}<\/span>,<\/span>
    \n {<\/span>$inc<\/span>:<\/span> {<\/span>salary<\/span>:<\/span> 2000<\/span>}<\/span>}<\/span>
    \n)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { acknowledged: true, matchedCount: 11, modifiedCount: 11 }<\/p>\n

    \u6280\u672f\u90e811\u540d\u5458\u5de5\u6bcf\u4eba\u52a0\u85aa2000\u5143，\u66f4\u65b0\u540eTop 5\u85aa\u8d44：<\/p>\n\n\u59d3\u540d\u8c03\u6574\u540e\u85aa\u8d44<\/tr>\n\n\n\n\n\n\n
    \u6731\u6d9b<\/td>\n42,000<\/td>\n<\/tr>\n
    \u5218\u6d0b<\/td>\n37,000<\/td>\n<\/tr>\n
    \u9ad8\u7fd4<\/td>\n35,000<\/td>\n<\/tr>\n
    \u5434\u660a<\/td>\n34,000<\/td>\n<\/tr>\n
    \u738b\u5f3a<\/td>\n32,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    $push：\u5411\u6570\u7ec4\u6dfb\u52a0\u5143\u7d20<\/h5>\n

    db.<\/span>employees.<\/span>updateOne<\/span>(<\/span>{<\/span>name<\/span>:<\/span> "\u674e\u5a1c"<\/span>}<\/span>,<\/span> {<\/span>$push<\/span>:<\/span> {<\/span>skills<\/span>:<\/span> "Kubernetes"<\/span>}<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    \u674e\u5a1c skills: ['Python', 'Docker', 'Kubernetes']<\/p>\n

    $pull：\u4ece\u6570\u7ec4\u79fb\u9664\u5143\u7d20<\/h5>\n

    db.<\/span>employees.<\/span>updateOne<\/span>(<\/span>{<\/span>name<\/span>:<\/span> "\u674e\u5a1c"<\/span>}<\/span>,<\/span> {<\/span>$pull<\/span>:<\/span> {<\/span>skills<\/span>:<\/span> "Docker"<\/span>}<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    \u674e\u5a1c skills: ['Python', 'Kubernetes']<\/p>\n

    3.5 \u805a\u5408\u7ba1\u9053\u64cd\u4f5c<\/h4>\n

    \u6309\u90e8\u95e8\u7edf\u8ba1\u5e73\u5747\u5de5\u8d44<\/h5>\n

    db.<\/span>employees.<\/span>aggregate<\/span>(<\/span>[<\/span>
    \n {<\/span>
    \n $group<\/span>:<\/span> {<\/span>
    \n _id<\/span>:<\/span> "$department"<\/span>,<\/span>
    \n avg_salary<\/span>:<\/span> {<\/span>$avg<\/span>:<\/span> "$salary"<\/span>}<\/span>,<\/span>
    \n count<\/span>:<\/span> {<\/span>$sum<\/span>:<\/span> 1<\/span>}<\/span>,<\/span>
    \n total_salary<\/span>:<\/span> {<\/span>$sum<\/span>:<\/span> "$salary"<\/span>}<\/span>
    \n }<\/span>
    \n }<\/span>,<\/span>
    \n {<\/span>$sort<\/span>:<\/span> {<\/span>avg_salary<\/span>:<\/span> –<\/span>1<\/span>}<\/span>}<\/span>
    \n]<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n\n\u90e8\u95e8\u5e73\u5747\u5de5\u8d44\u4eba\u6570\u5de5\u8d44\u603b\u989d<\/tr>\n\n\n\n\n\n
    \u6280\u672f\u90e8<\/td>\n31,000<\/td>\n11<\/td>\n341,000<\/td>\n<\/tr>\n
    \u4eba\u4e8b\u90e8<\/td>\n18,333<\/td>\n3<\/td>\n55,000<\/td>\n<\/tr>\n
    \u5e02\u573a\u90e8<\/td>\n17,000<\/td>\n4<\/td>\n68,000<\/td>\n<\/tr>\n
    \u8d22\u52a1\u90e8<\/td>\n15,000<\/td>\n2<\/td>\n30,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \u6309\u5e74\u9f84\u6bb5\u7edf\u8ba1\u4eba\u6570（$bucket）<\/h5>\n

    db.<\/span>employees.<\/span>aggregate<\/span>(<\/span>[<\/span>
    \n {<\/span>
    \n $bucket<\/span>:<\/span> {<\/span>
    \n groupBy<\/span>:<\/span> "$age"<\/span>,<\/span>
    \n boundaries<\/span>:<\/span> [<\/span>20<\/span>,<\/span> 26<\/span>,<\/span> 31<\/span>,<\/span> 36<\/span>,<\/span> 41<\/span>,<\/span> 46<\/span>]<\/span>,<\/span>
    \n default<\/span>:<\/span> "other"<\/span>,<\/span>
    \n output<\/span>:<\/span> {<\/span>
    \n count<\/span>:<\/span> {<\/span>$sum<\/span>:<\/span> 1<\/span>}<\/span>,<\/span>
    \n names<\/span>:<\/span> {<\/span>$push<\/span>:<\/span> "$name"<\/span>}<\/span>
    \n }<\/span>
    \n }<\/span>
    \n }<\/span>
    \n]<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n\n\u5e74\u9f84\u6bb5\u4eba\u6570\u5458\u5de5\u59d3\u540d<\/tr>\n\n\n\n\n\n\n
    20-25<\/td>\n2<\/td>\n\u90d1\u723d, \u80e1\u654f<\/td>\n<\/tr>\n
    26-30<\/td>\n8<\/td>\n\u674e\u5a1c, \u8d75\u654f, \u9648\u9759, \u9ec4\u78ca, \u5468\u5a77, \u4f55\u5a77, \u7f57\u9759, \u6881\u5b87<\/td>\n<\/tr>\n
    31-35<\/td>\n5<\/td>\n\u5f20\u4f1f, \u738b\u5f3a, \u6768\u5149, \u5b59\u6770, \u6797\u5cf0<\/td>\n<\/tr>\n
    36-40<\/td>\n4<\/td>\n\u5218\u6d0b, \u5434\u660a, \u9a6c\u4e3d, \u9ad8\u7fd4<\/td>\n<\/tr>\n
    41-45<\/td>\n1<\/td>\n\u6731\u6d9b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    $match + $project + $sort \u7ec4\u5408\u7ba1\u9053<\/h5>\n

    db.<\/span>employees.<\/span>aggregate<\/span>(<\/span>[<\/span>
    \n {<\/span>$match<\/span>:<\/span> {<\/span>salary<\/span>:<\/span> {<\/span>$gte<\/span>:<\/span> 28000<\/span>}<\/span>}<\/span>}<\/span>,<\/span>
    \n {<\/span>$project<\/span>:<\/span> {<\/span>name<\/span>:<\/span> 1<\/span>,<\/span> department<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> 1<\/span>,<\/span> _id<\/span>:<\/span> 0<\/span>}<\/span>}<\/span>,<\/span>
    \n {<\/span>$sort<\/span>:<\/span> {<\/span>salary<\/span>:<\/span> –<\/span>1<\/span>}<\/span>}<\/span>,<\/span>
    \n {<\/span>$limit<\/span>:<\/span> 5<\/span>}<\/span>
    \n]<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    { name: '\u6731\u6d9b', department: '\u6280\u672f\u90e8', salary: 42000 }
    \n{ name: '\u5218\u6d0b', department: '\u6280\u672f\u90e8', salary: 37000 }
    \n{ name: '\u9ad8\u7fd4', department: '\u6280\u672f\u90e8', salary: 35000 }
    \n{ name: '\u5434\u660a', department: '\u6280\u672f\u90e8', salary: 34000 }
    \n{ name: '\u738b\u5f3a', department: '\u6280\u672f\u90e8', salary: 32000 }<\/p>\n

    \u90e8\u95e8\u6700\u9ad8\/\u6700\u4f4e\u5de5\u8d44\u7edf\u8ba1<\/h5>\n

    db.<\/span>employees.<\/span>aggregate<\/span>(<\/span>[<\/span>
    \n {<\/span>
    \n $group<\/span>:<\/span> {<\/span>
    \n _id<\/span>:<\/span> "$department"<\/span>,<\/span>
    \n max_salary<\/span>:<\/span> {<\/span>$max<\/span>:<\/span> "$salary"<\/span>}<\/span>,<\/span>
    \n min_salary<\/span>:<\/span> {<\/span>$min<\/span>:<\/span> "$salary"<\/span>}<\/span>,<\/span>
    \n avg_salary<\/span>:<\/span> {<\/span>$avg<\/span>:<\/span> "$salary"<\/span>}<\/span>
    \n }<\/span>
    \n }<\/span>,<\/span>
    \n {<\/span>$sort<\/span>:<\/span> {<\/span>_id<\/span>:<\/span> 1<\/span>}<\/span>}<\/span>
    \n]<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n\n\u90e8\u95e8\u6700\u9ad8\u5de5\u8d44\u6700\u4f4e\u5de5\u8d44\u5e73\u5747\u5de5\u8d44<\/tr>\n\n\n\n\n\n
    \u4eba\u4e8b\u90e8<\/td>\n20,000<\/td>\n17,000<\/td>\n18,333<\/td>\n<\/tr>\n
    \u5e02\u573a\u90e8<\/td>\n22,000<\/td>\n12,000<\/td>\n17,000<\/td>\n<\/tr>\n
    \u6280\u672f\u90e8<\/td>\n42,000<\/td>\n22,000<\/td>\n31,000<\/td>\n<\/tr>\n
    \u8d22\u52a1\u90e8<\/td>\n16,000<\/td>\n14,000<\/td>\n15,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    3.6 \u7d22\u5f15\u64cd\u4f5c<\/h4>\n

    \u521b\u5efa\u7d22\u5f15<\/h5>\n

    \/\/ \u5728age\u5b57\u6bb5\u521b\u5efa\u5355\u5b57\u6bb5\u7d22\u5f15<\/span>
    \ndb.<\/span>employees.<\/span>createIndex<\/span>(<\/span>{<\/span>age<\/span>:<\/span> 1<\/span>}<\/span>,<\/span> {<\/span>name<\/span>:<\/span> "idx_age"<\/span>}<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    'idx_age'<\/p>\n

    \/\/ \u5728department\u548csalary\u4e0a\u521b\u5efa\u590d\u5408\u7d22\u5f15<\/span>
    \ndb.<\/span>employees.<\/span>createIndex<\/span>(<\/span>
    \n {<\/span>department<\/span>:<\/span> 1<\/span>,<\/span> salary<\/span>:<\/span> –<\/span>1<\/span>}<\/span>,<\/span>
    \n {<\/span>name<\/span>:<\/span> "idx_dept_salary"<\/span>}<\/span>
    \n)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    'idx_dept_salary'<\/p>\n

    \u67e5\u770b\u6240\u6709\u7d22\u5f15<\/h5>\n

    db.<\/span>employees.<\/span>getIndexes<\/span>(<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    [
    \n { name: '_id_', key: { _id: 1 } },
    \n { name: 'idx_age', key: { age: 1 } },
    \n { name: 'idx_dept_salary', key: { department: 1, salary: -1 } }
    \n]<\/p>\n

    \u6267\u884c\u8ba1\u5212\u5206\u6790（explain）<\/h5>\n

    db.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>age<\/span>:<\/span> {<\/span>$gt<\/span>:<\/span> 30<\/span>}<\/span>}<\/span>)<\/span>.<\/span>explain<\/span>(<\/span>"queryPlanner"<\/span>)<\/span><\/p>\n

    \u8f93\u51fa：<\/p>\n

    {
    \n winningPlan: {
    \n stage: 'FETCH',
    \n inputStage: {
    \n stage: 'IXSCAN',
    \n indexName: 'idx_age',
    \n …
    \n }
    \n }
    \n}<\/p>\n

    \u5173\u952e\u89e3\u8bfb：<\/p>\n

      \n
    • IXSCAN：\u4f7f\u7528\u4e86\u7d22\u5f15\u626b\u63cf（\u800c\u975e\u5168\u8868\u626b\u63cfCOLLSCAN）<\/li>\n
    • FETCH：\u6839\u636e\u7d22\u5f15\u6307\u9488\u83b7\u53d6\u5b8c\u6574\u6587\u6863<\/li>\n
    • \u67e5\u8be2\u547d\u4e2d\u4e86 idx_age \u7d22\u5f15，\u6027\u80fd\u663e\u8457\u63d0\u5347<\/li>\n<\/ul>\n
      \u5220\u9664\u7d22\u5f15<\/h5>\n

      db.<\/span>employees.<\/span>dropIndex<\/span>(<\/span>"idx_age"<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      { nIndexesWas: 3, ok: 1 }<\/p>\n

      db.<\/span>employees.<\/span>getIndexes<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      [ { name: '_id_', key: { _id: 1 } }, { name: 'idx_dept_salary', key: { department: 1, salary: -1 } } ]<\/p>\n

      3.7 \u5220\u9664\u64cd\u4f5c<\/h4>\n

      \/\/ \u5220\u9664\u524d\u6587\u6863\u603b\u6570<\/span>
      \ndb.<\/span>employees.<\/span>countDocuments<\/span>(<\/span>{<\/span>}<\/span>)<\/span><\/p>\n

      20<\/p>\n

      deleteOne：\u5220\u9664\u5355\u6761\u6587\u6863<\/h5>\n

      db.<\/span>employees.<\/span>deleteOne<\/span>(<\/span>{<\/span>name<\/span>:<\/span> "\u90d1\u723d"<\/span>}<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      { acknowledged: true, deletedCount: 1 }<\/p>\n

      deleteMany：\u6279\u91cf\u5220\u9664<\/h5>\n

      db.<\/span>employees.<\/span>deleteMany<\/span>(<\/span>{<\/span>department<\/span>:<\/span> "\u8d22\u52a1\u90e8"<\/span>}<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      { acknowledged: true, deletedCount: 2 }<\/p>\n

      \u5220\u9664\u540e\u7edf\u8ba1<\/h5>\n

      db.<\/span>employees.<\/span>countDocuments<\/span>(<\/span>{<\/span>}<\/span>)<\/span><\/p>\n

      17<\/p>\n

      \u5269\u4f59\u5458\u5de5\u6309\u90e8\u95e8\u5206\u5e03：<\/p>\n\n\u90e8\u95e8\u4eba\u6570<\/tr>\n\n\n\n\n
      \u4eba\u4e8b\u90e8<\/td>\n3<\/td>\n<\/tr>\n
      \u5e02\u573a\u90e8<\/td>\n3<\/td>\n<\/tr>\n
      \u6280\u672f\u90e8<\/td>\n11<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \n

      \u56db\u3001MongoDB \u526f\u672c\u96c6\u642d\u5efa<\/h3>\n

      \u526f\u672c\u96c6（Replica Set）\u662fMongoDB\u5b9e\u73b0\u9ad8\u53ef\u7528\u7684\u6838\u5fc3\u673a\u5236，\u7531\u4e00\u7ec4\u7ef4\u62a4\u76f8\u540c\u6570\u636e\u96c6\u7684mongod\u5b9e\u4f8b\u7ec4\u6210\u3002\u5176\u4e2d\u4e00\u4e2a\u662f\u4e3b\u8282\u70b9（Primary），\u8d1f\u8d23\u5904\u7406\u5199\u64cd\u4f5c；\u5176\u4f59\u4e3a\u526f\u8282\u70b9（Secondary），\u5f02\u6b65\u590d\u5236\u4e3b\u8282\u70b9\u6570\u636e\u3002<\/p>\n

      4.1 \u526f\u672c\u96c6\u67b6\u6784<\/h4>\n

      \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
      \n\u2502 Replica Set rs0 \u2502
      \n\u2502 \u2502
      \n\u2502 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u2502
      \n\u2502 \u2502 Primary \u2502\u2500\u2500\u2500\u2500\u25b6\u2502Secondary\u2502 \u2502Secondary\u2502 \u2502
      \n\u2502 \u2502 :27017 \u2502 \u2502 :27018 \u2502 \u2502 :27019 \u2502 \u2502
      \n\u2502 \u2502 (\u8bfb\u5199) \u2502 \u2502 (\u53ea\u8bfb) \u2502 \u2502 (\u53ea\u8bfb) \u2502 \u2502
      \n\u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2502
      \n\u2502 \u2502 \u25b2 \u25b2 \u2502
      \n\u2502 \u2514\u2500\u2500\u2500 oplog \u2500\u2500\u2500\u2524\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524 \u2502
      \n\u2502 \u2514\u2500\u2500\u2500 oplog \u2500\u2500\u2500\u2500\u2500\u2518 \u2502
      \n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

      4.2 \u521b\u5efa\u6570\u636e\u76ee\u5f55<\/h4>\n

      mkdir<\/span> -p<\/span> \/data\/mongo1 \/data\/mongo2 \/data\/mongo3<\/p>\n

      4.3 \u542f\u52a8\u4e09\u4e2amongod\u5b9e\u4f8b<\/h4>\n

      # \u4e3b\u8282\u70b9 (Port 27017)<\/span>
      \nmongod –port<\/span> 27017<\/span> –dbpath<\/span> \/data\/mongo1 \\\\<\/span>
      \n –replSet<\/span> rs0 –bind_ip<\/span> 127.0<\/span>.0.1 –fork<\/span> \\\\<\/span>
      \n –logpath<\/span> \/data\/mongo1\/mongod.log<\/p>\n

      # \u526f\u8282\u70b91 (Port 27018)<\/span>
      \nmongod –port<\/span> 27018<\/span> –dbpath<\/span> \/data\/mongo2 \\\\<\/span>
      \n –replSet<\/span> rs0 –bind_ip<\/span> 127.0<\/span>.0.1 –fork<\/span> \\\\<\/span>
      \n –logpath<\/span> \/data\/mongo2\/mongod.log<\/p>\n

      # \u526f\u8282\u70b92 (Port 27019)<\/span>
      \nmongod –port<\/span> 27019<\/span> –dbpath<\/span> \/data\/mongo3 \\\\<\/span>
      \n –replSet<\/span> rs0 –bind_ip<\/span> 127.0<\/span>.0.1 –fork<\/span> \\\\<\/span>
      \n –logpath<\/span> \/data\/mongo3\/mongod.log<\/p>\n

      \u4e09\u4e2a\u5b9e\u4f8b\u5168\u90e8\u542f\u52a8\u6210\u529f\u3002<\/p>\n

      4.4 \u521d\u59cb\u5316\u526f\u672c\u96c6<\/h4>\n

      \/\/ \u8fde\u63a5\u5230\u4e3b\u8282\u70b9<\/span>
      \nmongosh —<\/span>port 27017<\/span><\/p>\n

      \/\/ \u521d\u59cb\u5316\u526f\u672c\u96c6<\/span>
      \nrs.<\/span>initiate<\/span>(<\/span>{<\/span>
      \n _id<\/span>:<\/span> "rs0"<\/span>,<\/span>
      \n members<\/span>:<\/span> [<\/span>
      \n {<\/span>_id<\/span>:<\/span> 0<\/span>,<\/span> host<\/span>:<\/span> "127.0.0.1:27017"<\/span>}<\/span>,<\/span>
      \n {<\/span>_id<\/span>:<\/span> 1<\/span>,<\/span> host<\/span>:<\/span> "127.0.0.1:27018"<\/span>}<\/span>,<\/span>
      \n {<\/span>_id<\/span>:<\/span> 2<\/span>,<\/span> host<\/span>:<\/span> "127.0.0.1:27019"<\/span>}<\/span>
      \n ]<\/span>
      \n}<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      { ok: 1 }<\/p>\n

      4.5 \u67e5\u770b\u526f\u672c\u96c6\u72b6\u6001<\/h4>\n

      \u7b49\u5f85\u7ea612\u79d2\u540e，\u4e3b\u8282\u70b9\u9009\u4e3e\u5b8c\u6210\u3002<\/p>\n

      rs.<\/span>status<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      set: 'rs0'
      \nmyState: 1 (1=PRIMARY)<\/p>\n

      members:
      \n 127.0.0.1:27017 state=PRIMARY, health=1.0
      \n 127.0.0.1:27018 state=SECONDARY, health=1.0
      \n 127.0.0.1:27019 state=SECONDARY, health=1.0<\/p>\n

      rs.<\/span>conf<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      {
      \n _id: 'rs0',
      \n members: [
      \n { _id: 0, host: '127.0.0.1:27017' },
      \n { _id: 1, host: '127.0.0.1:27018' },
      \n { _id: 2, host: '127.0.0.1:27019' }
      \n ]
      \n}<\/p>\n

      4.6 \u9a8c\u8bc1\u6570\u636e\u540c\u6b65<\/h4>\n

      \u5728\u4e3b\u8282\u70b9\u63d2\u5165\u6d4b\u8bd5\u6570\u636e：<\/p>\n

      \/\/ \u8fde\u63a5\u5230\u4e3b\u8282\u70b9<\/span>
      \nmongosh —<\/span>port 27017<\/span><\/p>\n

      use testdb
      \ndb.<\/span>testcol.<\/span>insertOne<\/span>(<\/span>{<\/span>name<\/span>:<\/span> "replica_test"<\/span>,<\/span> value<\/span>:<\/span> 42<\/span>,<\/span> msg<\/span>:<\/span> "Hello from primary!"<\/span>}<\/span>)<\/span>
      \ndb.<\/span>testcol.<\/span>insertOne<\/span>(<\/span>{<\/span>name<\/span>:<\/span> "second_doc"<\/span>,<\/span> value<\/span>:<\/span> 100<\/span>,<\/span> msg<\/span>:<\/span> "Another doc"<\/span>}<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      Inserted 2 docs on primary (127.0.0.1:27017)<\/p>\n

      \u7b49\u5f853\u79d2\u540e，\u5728\u526f\u8282\u70b9\u67e5\u8be2\u6570\u636e：<\/p>\n

      \/\/ \u8fde\u63a5\u5230\u526f\u8282\u70b9，\u8bbe\u7f6e\u8bfb\u504f\u597d\u4e3asecondary<\/span>
      \nmongosh —<\/span>port 27018<\/span> —<\/span>host "127.0.0.1:27018"<\/span>
      \nrs.<\/span>secondaryOk<\/span>(<\/span>)<\/span>
      \nuse testdb
      \ndb.<\/span>testcol.<\/span>find<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      Secondary (port 27018): 2 docs – [('replica_test', 42), ('second_doc', 100)]
      \nSecondary (port 27019): 2 docs – [('replica_test', 42), ('second_doc', 100)]<\/p>\n

      \u6570\u636e\u5df2\u6210\u529f\u540c\u6b65\u5230\u6240\u6709\u526f\u8282\u70b9！<\/p>\n

      4.7 \u6a21\u62df\u4e3b\u8282\u70b9\u6545\u969c\u8f6c\u79fb<\/h4>\n

      \u8fd9\u662f\u526f\u672c\u96c6\u6700\u6838\u5fc3\u7684\u9ad8\u53ef\u7528\u80fd\u529b\u2014\u2014\u5f53\u4e3b\u8282\u70b9\u5b95\u673a\u65f6，\u526f\u8282\u70b9\u81ea\u52a8\u53d1\u8d77\u9009\u4e3e，\u9009\u51fa\u65b0\u7684\u4e3b\u8282\u70b9，\u670d\u52a1\u65e0\u9700\u4eba\u5de5\u5e72\u9884\u5373\u53ef\u6062\u590d\u3002<\/p>\n

      \u6740\u6b7b\u4e3b\u8282\u70b9<\/h5>\n

      # \u627e\u5230\u4e3b\u8282\u70b9\u8fdb\u7a0b\u5e76\u7ec8\u6b62<\/span>
      \nkill<\/span> $(<\/span>pgrep -f<\/span> "port 27017"<\/span>)<\/span><\/span><\/p>\n

      Killed mongod on port 27017<\/p>\n

      \u7b49\u5f85\u9009\u4e3e\u5b8c\u6210<\/h5>\n

      # \u7b49\u5f85\u5fc3\u8df3\u8d85\u65f6（~10s）+ \u9009\u4e3e\u8fc7\u7a0b（~5-10s）<\/span>
      \nsleep<\/span> 20<\/span><\/p>\n

      \u68c0\u67e5\u65b0\u4e3b\u8282\u70b9<\/h5>\n

      \/\/ \u8fde\u63a5\u5230\u5b58\u6d3b\u7684\u8282\u70b9<\/span>
      \nmongosh —<\/span>port 27018<\/span>
      \nrs.<\/span>status<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      New primary elected: 127.0.0.1:27019 (after ~28s)<\/p>\n

      \u6700\u7ec8\u526f\u672c\u96c6\u72b6\u6001<\/h5>\n

      rs.<\/span>status<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n\n\u8282\u70b9\u72b6\u6001\u5065\u5eb7\u5ea6<\/tr>\n\n\n\n\n
      127.0.0.1:27017<\/td>\n(not reachable\/healthy)<\/td>\n0.0<\/td>\n<\/tr>\n
      127.0.0.1:27018<\/td>\nSECONDARY<\/td>\n1.0<\/td>\n<\/tr>\n
      127.0.0.1:27019<\/td>\nPRIMARY<\/td>\n1.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u6545\u969c\u8f6c\u79fb\u6210\u529f！ 27019\u88ab\u81ea\u52a8\u9009\u4e3a\u65b0\u7684\u4e3b\u8282\u70b9\u3002<\/p>\n

      \u9a8c\u8bc1\u6570\u636e\u5b8c\u6574\u6027<\/h5>\n

      \/\/ \u8fde\u63a5\u5230\u65b0\u4e3b\u8282\u70b9<\/span>
      \nmongosh —<\/span>port 27019<\/span>
      \nuse testdb
      \ndb.<\/span>testcol.<\/span>find<\/span>(<\/span>)<\/span><\/p>\n

      \u8f93\u51fa：<\/p>\n

      Data on new primary: 2 docs
      \n name=replica_test, value=42
      \n name=second_doc, value=100<\/p>\n

      \u6570\u636e\u96f6\u4e22\u5931！ \u6545\u969c\u8f6c\u79fb\u540e，\u6240\u6709\u6570\u636e\u5b8c\u6574\u4fdd\u7559\u5728\u65b0\u4e3b\u8282\u70b9\u4e0a\u3002<\/p>\n

      \n

      \u4e94\u3001\u526f\u672c\u96c6\u6545\u969c\u8f6c\u79fb\u539f\u7406\u6df1\u5165\u5206\u6790<\/h3>\n

      5.1 \u9009\u4e3e\u673a\u5236<\/h4>\n

      MongoDB\u526f\u672c\u96c6\u4f7f\u7528Raft\u4e00\u81f4\u6027\u7b97\u6cd5\u7684\u53d8\u4f53\u8fdb\u884c\u4e3b\u8282\u70b9\u9009\u4e3e：<\/p>\n

    • \u5fc3\u8df3\u68c0\u6d4b：\u6210\u5458\u4e4b\u95f4\u6bcf2\u79d2\u53d1\u9001\u4e00\u6b21\u5fc3\u8df3，\u9ed8\u8ba410\u79d2\u8d85\u65f6\u5224\u5b9a\u4e3a\u4e0b\u7ebf<\/li>\n
    • \u9009\u4e3e\u89e6\u53d1：\u526f\u8282\u70b9\u68c0\u6d4b\u5230\u4e3b\u8282\u70b9\u4e0d\u53ef\u8fbe\u540e，\u53d1\u8d77\u9009\u4e3e\u8bf7\u6c42<\/li>\n
    • \u6295\u7968：\u6bcf\u4e2a\u6210\u5458\u6709\u4e00\u7968，\u83b7\u5f97\u591a\u6570\u6d3e\u7968\u6570\u7684\u8282\u70b9\u6210\u4e3a\u65b0\u4e3b\u8282\u70b9<\/li>\n
    • \u4f18\u5148\u7ea7：\u53ef\u901a\u8fc7 priority \u53c2\u6570\u63a7\u5236\u9009\u4e3e\u4f18\u5148\u7ea7<\/li>\n

      5.2 \u6545\u969c\u8f6c\u79fb\u65f6\u95f4\u7ebf<\/h4>\n

      T+0s : \u4e3b\u8282\u70b9(27017)\u88abkill
      \nT+0~10s : \u526f\u8282\u70b9\u5fc3\u8df3\u8d85\u65f6，\u6807\u8bb0\u4e3b\u8282\u70b9\u4e3aDOWN
      \nT+10s : \u526f\u8282\u70b9\u53d1\u8d77\u9009\u4e3e
      \nT+12s : 27019\u83b7\u5f97\u591a\u6570\u6d3e\u6295\u7968(2\/3)，\u6210\u4e3a\u65b0PRIMARY
      \nT+15s : \u5ba2\u6237\u7aef\u81ea\u52a8\u91cd\u8fde\u5230\u65b0\u4e3b\u8282\u70b9，\u670d\u52a1\u6062\u590d<\/p>\n

      5.3 oplog（\u64cd\u4f5c\u65e5\u5fd7）<\/h4>\n

      \u526f\u672c\u96c6\u901a\u8fc7oplog（Operation Log）\u5b9e\u73b0\u6570\u636e\u540c\u6b65：<\/p>\n

        \n
      • oplog\u662f\u4e00\u4e2a\u7279\u6b8a\u7684capped collection，\u5b58\u50a8\u5728 local.oplog.rs<\/li>\n
      • \u4e3b\u8282\u70b9\u8bb0\u5f55\u6240\u6709\u5199\u64cd\u4f5c\u5230oplog<\/li>\n
      • \u526f\u8282\u70b9\u5f02\u6b65\u62c9\u53d6\u5e76\u56de\u653eoplog\u4e2d\u7684\u64cd\u4f5c<\/li>\n
      • oplog\u5927\u5c0f\u9ed8\u8ba4\u4e3a\u78c1\u76d8\u7a7a\u95f4\u76845%，\u53ef\u901a\u8fc7 –oplogSize \u8c03\u6574<\/li>\n<\/ul>\n

        5.4 \u8bfb\u504f\u597d（Read Preference）<\/h4>\n\n\u6a21\u5f0f\u8bf4\u660e\u9002\u7528\u573a\u666f<\/tr>\n\n\n\n\n\n\n
        primary<\/td>\n\u53ea\u4ece\u4e3b\u8282\u70b9\u8bfb（\u9ed8\u8ba4）<\/td>\n\u5f3a\u4e00\u81f4\u6027\u8981\u6c42<\/td>\n<\/tr>\n
        primaryPreferred<\/td>\n\u4f18\u5148\u4e3b\u8282\u70b9，\u4e0d\u53ef\u7528\u65f6\u8bfb\u526f\u8282\u70b9<\/td>\n\u9ad8\u53ef\u7528+\u5f31\u4e00\u81f4<\/td>\n<\/tr>\n
        secondary<\/td>\n\u53ea\u4ece\u526f\u8282\u70b9\u8bfb<\/td>\n\u8bfb\u5bc6\u96c6\u578b\u573a\u666f<\/td>\n<\/tr>\n
        secondaryPreferred<\/td>\n\u4f18\u5148\u526f\u8282\u70b9<\/td>\n\u5206\u6563\u8bfb\u8d1f\u8f7d<\/td>\n<\/tr>\n
        nearest<\/td>\n\u8bfb\u6700\u8fd1\u8282\u70b9（\u5ef6\u8fdf\u6700\u4f4e）<\/td>\n\u5730\u7406\u5206\u5e03\u5f0f\u90e8\u7f72<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
        \n

        \u516d\u3001\u6027\u80fd\u4f18\u5316\u5efa\u8bae<\/h3>\n

        6.1 \u7d22\u5f15\u4f18\u5316<\/h4>\n

        \/\/ \u67e5\u770b\u67e5\u8be2\u6267\u884c\u8ba1\u5212<\/span>
        \ndb.<\/span>employees.<\/span>find<\/span>(<\/span>{<\/span>department<\/span>:<\/span> "\u6280\u672f\u90e8"<\/span>,<\/span> salary<\/span>:<\/span> {<\/span>$gt<\/span>:<\/span> 25000<\/span>}<\/span>}<\/span>)<\/span>.<\/span>explain<\/span>(<\/span>"executionStats"<\/span>)<\/span><\/p>\n

        \u4f18\u5316\u539f\u5219：<\/p>\n

          \n
        • ESR\u539f\u5219：Equality（\u7b49\u503c）\u2192 Sort（\u6392\u5e8f）\u2192 Range（\u8303\u56f4）<\/li>\n
        • \u590d\u5408\u7d22\u5f15\u5b57\u6bb5\u987a\u5e8f：\u5148\u7b49\u503c，\u518d\u6392\u5e8f，\u6700\u540e\u8303\u56f4<\/li>\n
        • \u907f\u514d\u521b\u5efa\u8fc7\u591a\u7d22\u5f15（\u6bcf\u4e2a\u7d22\u5f15\u5360\u7528\u5185\u5b58\u548c\u78c1\u76d8）<\/li>\n
        • \u5b9a\u671f\u4f7f\u7528 $indexStats \u76d1\u63a7\u7d22\u5f15\u4f7f\u7528\u7387<\/li>\n<\/ul>\n

          6.2 \u8fde\u63a5\u6c60\u914d\u7f6e<\/h4>\n

          \/\/ MongoDB\u8fde\u63a5\u5b57\u7b26\u4e32\u53c2\u6570<\/span>
          \nmongodb<\/span>:<\/span>\/<\/span>\/<\/span>host:<\/span>27017<\/span>\/<\/span>?<\/span>maxPoolSize=<\/span>100<\/span>&<\/span>minPoolSize=<\/span>10<\/span>&<\/span>connectTimeoutMS=<\/span>5000<\/span><\/p>\n\n\u53c2\u6570\u63a8\u8350\u503c\u8bf4\u660e<\/tr>\n\n\n\n\n\n
          maxPoolSize<\/td>\n100<\/td>\n\u6700\u5927\u8fde\u63a5\u6570<\/td>\n<\/tr>\n
          minPoolSize<\/td>\n10<\/td>\n\u6700\u5c0f\u4fdd\u6301\u8fde\u63a5\u6570<\/td>\n<\/tr>\n
          connectTimeoutMS<\/td>\n5000<\/td>\n\u8fde\u63a5\u8d85\u65f6<\/td>\n<\/tr>\n
          socketTimeoutMS<\/td>\n30000<\/td>\nSocket\u8d85\u65f6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          6.3 WiredTiger\u5f15\u64ce\u8c03\u4f18<\/h4>\n

          storage<\/span>:<\/span>
          \n engine<\/span>:<\/span> wiredTiger
          \n wiredTiger<\/span>:<\/span>
          \n engineConfig<\/span>:<\/span>
          \n cacheSizeGB<\/span>:<\/span> 4<\/span> # \u7f13\u5b58\u5927\u5c0f（\u5efa\u8bae\u5185\u5b58\u768450-80%）<\/span>
          \n collectionConfig<\/span>:<\/span>
          \n blockCompressor<\/span>:<\/span> snappy # \u538b\u7f29\u7b97\u6cd5<\/span><\/p>\n

          \n

          \u4e03\u3001\u603b\u7ed3<\/h3>\n

          \u672c\u6587\u5b8c\u6574\u6f14\u793a\u4e86MongoDB 7.0.14\u5728Ubuntu 24.04\u4e0a\u7684\u90e8\u7f72\u3001\u6570\u636e\u64cd\u4f5c\u548c\u526f\u672c\u96c6\u642d\u5efa\u5168\u8fc7\u7a0b：<\/p>\n

          \u5b8c\u6210\u6e05\u5355<\/h4>\n\n\u4efb\u52a1\u72b6\u6001\u5173\u952e\u7ed3\u679c<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n
          MongoDB 7.0\u5b89\u88c5<\/td>\n\u2705<\/td>\n\u7248\u672c7.0.14，systemd\u7ba1\u7406<\/td>\n<\/tr>\n
          \u6587\u6863\u63d2\u5165<\/td>\n\u2705<\/td>\n20\u6761\u5458\u5de5\u6570\u636e，\u542b\u5d4c\u5957\u6570\u7ec4<\/td>\n<\/tr>\n
          CRUD\u67e5\u8be2<\/td>\n\u2705<\/td>\n\u6761\u4ef6\u67e5\u8be2\u3001\u6295\u5f71\u3001\u6392\u5e8f\u3001\u5206\u9875\u3001\u6b63\u5219<\/td>\n<\/tr>\n
          \u66f4\u65b0\u64cd\u4f5c<\/td>\n\u2705<\/td>\nset\/set\/<\/span><\/span>se<\/span>t<\/span>\/<\/span><\/span><\/span><\/span><\/span>inc\/push\/push\/<\/span><\/span>p<\/span>u<\/span>s<\/span>h<\/span>\/<\/span><\/span><\/span><\/span><\/span>pull\u56db\u79cd\u64cd\u4f5c\u7b26<\/td>\n<\/tr>\n
          \u805a\u5408\u7ba1\u9053<\/td>\n\u2705<\/td>\ngroup\/group\/<\/span><\/span>g<\/span>r<\/span>o<\/span>u<\/span>p<\/span>\/<\/span><\/span><\/span><\/span><\/span>bucket\/match\/match\/<\/span><\/span>ma<\/span>t<\/span>c<\/span>h<\/span>\/<\/span><\/span><\/span><\/span><\/span>project\/$sort<\/td>\n<\/tr>\n
          \u7d22\u5f15\u7ba1\u7406<\/td>\n\u2705<\/td>\n\u5355\u5b57\u6bb5+\u590d\u5408\u7d22\u5f15，explain\u9a8c\u8bc1IXSCAN<\/td>\n<\/tr>\n
          \u5220\u9664\u64cd\u4f5c<\/td>\n\u2705<\/td>\ndeleteOne + deleteMany<\/td>\n<\/tr>\n
          \u526f\u672c\u96c6\u642d\u5efa<\/td>\n\u2705<\/td>\n3\u8282\u70b9\u526f\u672c\u96c6rs0，1\u4e3b2\u526f<\/td>\n<\/tr>\n
          \u6570\u636e\u540c\u6b65\u9a8c\u8bc1<\/td>\n\u2705<\/td>\n\u4e3b\u8282\u70b9\u5199\u51652\u79d2\u540e\u526f\u8282\u70b9\u53ef\u8bfb<\/td>\n<\/tr>\n
          \u6545\u969c\u8f6c\u79fb<\/td>\n\u2705<\/td>\n\u4e3b\u8282\u70b9\u5b95\u673a\u540e~28\u79d2\u81ea\u52a8\u9009\u4e3e\u65b0\u4e3b<\/td>\n<\/tr>\n
          \u6570\u636e\u96f6\u4e22\u5931<\/td>\n\u2705<\/td>\n\u6545\u969c\u8f6c\u79fb\u540e\u6570\u636e\u5b8c\u6574\u4fdd\u7559<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u6838\u5fc3\u6536\u83b7<\/h4>\n
        • \u6587\u6863\u6a21\u578b\u7075\u6d3b\u6027：MongoDB\u7684\u6587\u6863\u6a21\u578b\u5929\u7136\u652f\u6301\u5d4c\u5957\u7ed3\u6784\u548c\u6570\u7ec4，\u65e0\u9700ORM\u6620\u5c04，\u5f00\u53d1\u6548\u7387\u663e\u8457\u63d0\u5347<\/li>\n
        • \u805a\u5408\u7ba1\u9053\u5f3a\u5927：\u591a\u9636\u6bb5\u7ba1\u9053\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u5206\u6790，\u66ff\u4ee3\u90e8\u5206ETL\u573a\u666f<\/li>\n
        • \u526f\u672c\u96c6\u9ad8\u53ef\u7528：\u81ea\u52a8\u6545\u969c\u8f6c\u79fb\u673a\u5236\u786e\u4fdd\u670d\u52a1\u8fde\u7eed\u6027，28\u79d2\u5185\u5b8c\u6210\u4e3b\u8282\u70b9\u5207\u6362<\/li>\n
        • \u7d22\u5f15\u81f3\u5173\u91cd\u8981：\u5408\u7406\u7684\u7d22\u5f15\u8bbe\u8ba1\u53ef\u4ee5\u5c06COLLSCAN\u53d8\u4e3aIXSCAN，\u67e5\u8be2\u6027\u80fd\u63d0\u5347\u6570\u91cf\u7ea7<\/li>\n
        • oplog\u540c\u6b65\u673a\u5236：\u57fa\u4e8eoplog\u7684\u5f02\u6b65\u590d\u5236\u5728\u4fdd\u8bc1\u6027\u80fd\u7684\u540c\u65f6\u5b9e\u73b0\u4e86\u6570\u636e\u5197\u4f59<\/li>\n

          \u751f\u4ea7\u73af\u5883\u5efa\u8bae<\/h4>\n
            \n
          • \u526f\u672c\u96c6\u81f3\u5c113\u4e2a\u8282\u70b9（\u6ee1\u8db3\u591a\u6570\u6d3e\u6295\u7968\u8981\u6c42）<\/li>\n
          • \u4f7f\u7528 priority \u548c tags \u63a7\u5236\u9009\u4e3e\u4f18\u5148\u7ea7\u548c\u8bfb\u8def\u7531<\/li>\n
          • \u5b9a\u671f\u5907\u4efdoplog，\u914d\u7f6e oplogSize \u8db3\u591f\u5927<\/li>\n
          • \u76d1\u63a7\u5173\u952e\u6307\u6807：\u8fde\u63a5\u6570\u3001oplog\u7a97\u53e3\u3001\u590d\u5236\u5ef6\u8fdf<\/li>\n
          • \u4f7f\u7528 rs.stepDown() \u4f18\u96c5\u5207\u6362\u4e3b\u8282\u70b9，\u907f\u514d\u786ckill<\/li>\n<\/ul>\n
            \n

            \u672c\u6587\u6240\u6709\u64cd\u4f5c\u5747\u5728\u771f\u5b9eMongoDB 7.0.14\u73af\u5883\u4e2d\u6267\u884c，\u8f93\u51fa\u5747\u4e3a\u5b9e\u9645\u8fd0\u884c\u7ed3\u679c\u3002<\/p>\n

            \u73af\u5883：Ubuntu 24.04.4 LTS | MongoDB 7.0.14 | 8\u6838\/14GB<\/p>\n

            \u4e0b\u4e00\u7bc7\u9884\u544a：MongoDB\u5206\u7247\u96c6\u7fa4\u642d\u5efa\u4e0e\u6c34\u5e73\u6269\u5c55\u5b9e\u6218<\/p>\n","protected":false},"excerpt":{"rendered":"

            MongoDB 7.x \u90e8\u7f72\u5b89\u88c5\u4e0e\u6570\u636e\u64cd\u4f5c\u53ca\u526f\u672c\u96c6\u642d\u5efa\u5b9e\u6218\u73af\u5883：Ubuntu 24.04 LTS | MongoDB 7.0.14 | 8\u6838CPU \/ 14GB\u5185\u5b58
            \n\u65e5\u671f：2026-09-06
            \n\u4f5c\u8005：MongoDB\u8fd0\u7ef4\u5b9e\u6218\u7cfb\u5217\u4e00\u3001MongoDB \u7b80\u4ecb
            \nMongoDB \u662f\u4e00\u4e2a\u57fa\u4e8e\u6587\u6863\u7684\u5206\u5e03\u5f0fNoSQL\u6570\u636e\u5e93，\u7531C\u7f16\u5199，\u65e8\u5728\u4e3a\u73b0\u4ee3\u5e94\u7528\u63d0\u4f9b\u7075\u6d3b\u3001\u53ef\u6269\u5c55\u7684\u6570\u636e\u5b58\u50a8\u65b9\u6848\u3002\u4e0e\u4f20\u7edf\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e0d\u540c，Mong<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[733,100],"topic":[],"class_list":["post-104056","post","type-post","status-publish","format-standard","hentry","category-server","tag-mongodb","tag-100"],"yoast_head":"\nMongoDB 7.x \u90e8\u7f72\u5b89\u88c5\u4e0e\u6570\u636e\u64cd\u4f5c\u53ca\u526f\u672c\u96c6\u642d\u5efa\u5b9e\u6218 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/104056.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB 7.x \u90e8\u7f72\u5b89\u88c5\u4e0e\u6570\u636e\u64cd\u4f5c\u53ca\u526f\u672c\u96c6\u642d\u5efa\u5b9e\u6218 - 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