准備運行1個主節點,2個從節點,從節點中其中是一個是仲裁節點(Arb)。
sudo mongod --replSet application --dbpath /data/node1/ --port 9927 --oplogSize 1024 sudo mongod --replSet application --dbpath /data/node2/ --port 9928 --oplogSize 1024 sudo mongod --replSet application --dbpath /data/arbiter/ --port 9929 --oplogSize 1024
其中application是副本集的名稱,節點必須相同,–dbpath指定數據庫儲存路徑,–port指定偵聽端口,–oplogSize指定數據同步之前的緩存的空間大小,暫時指定1G。選擇9927端口的實例為主節點,進入9927的shell:
mongo localhost:9927
初始化副本集需要配置表,申明配置表如下:
config = {_id: "application", members: []}
注意_id和副本集啟動的共享名稱一致。下面來逐步添加節點的數據信息:
config.members.push({_id: 0, host: "localhost:9927"}) config.members.push({_id: 1, host: "localhost:9928"}) config.members.push({_id: 2, host: "localhost:9929", arbiterOnly: true})
也可以使用rs.add和rs.addArb函數來實現同樣的操作。然后需要用這個表作為參數初始化副本集,在9927端口的shell執行:
> rs.initiate(config) { "info" : "Config now saved locally. Should come online in about a minute.", "ok" : 1 }
返回ok為1表示初始化成功,三個節點互相檢測通信,需要1分鍾左右(反應夠慢的 ^-),可以查看三個終端窗口的信息確認,完成通信后,在9927端口的shell回車執行命令確認配置:
> rs.isMaster() { "setName" : "application", "ismaster" : true, "secondary" : false, "hosts" : [ "localhost:9927", "localhost:9928" ], "arbiters" : [ "localhost:9929" ], "primary" : "localhost:9927", "me" : "localhost:9927", "maxBsonObjectSize" : 16777216, "localTime" : ISODate("2013-01-26T13:34:03.378Z"), "ok" : 1 }
注意到9927端口的實例ismaster是true,secondary為false,hosts有2個實例,arbiter有1個元素,primary關鍵key表示了主節點,通信完成幾次回車后可以看到9927的端口的實例shell的提示符已經改變,更改為application:PRIMARY,查看更詳細的信息:
application:PRIMARY> rs.status() { "set" : "application", "date" : ISODate("2013-01-26T13:34:35Z"), "myState" : 1, "members" : [ { "_id" : 0, "name" : "localhost:9927", "health" : 1, "state" : 1, "stateStr" : "PRIMARY", "uptime" : 140, "optime" : Timestamp(1359207200000, 1), "optimeDate" : ISODate("2013-01-26T13:33:20Z"), "self" : true }, { "_id" : 1, "name" : "localhost:9928", "health" : 1, "state" : 2, "stateStr" : "SECONDARY", "uptime" : 63, "optime" : Timestamp(1359207200000, 1), "optimeDate" : ISODate("2013-01-26T13:33:20Z"), "lastHeartbeat" : ISODate("2013-01-26T13:34:34Z"), "pingMs" : 0 }, { "_id" : 2, "name" : "localhost:9929", "health" : 1, "state" : 7, "stateStr" : "ARBITER", "uptime" : 63, "lastHeartbeat" : ISODate("2013-01-26T13:34:34Z"), "pingMs" : 0 } ], "ok" : 1 }
顯示了每個節點的健康狀況,名稱,啟動的時間,節點的類型等。查看當前副本集的配置表:
application:PRIMARY> rs.conf() { "_id" : "application", "version" : 1, "members" : [ { "_id" : 0, "host" : "localhost:9927" }, { "_id" : 1, "host" : "localhost:9928" }, { "_id" : 2, "host" : "localhost:9929", "arbiterOnly" : true } ] }
插入測試數據:
application:PRIMARY> db.users.insert({username: "visionwang", age: 26})
進入9928從節點,執行查看集合:
application:SECONDARY> show collections application:SECONDARY> show collections Sat Jan 26 21:39:40 uncaught exception: error: { "$err" : "not master and slaveOk=false", "code" : 13435 }
發現shell拋出了異常,顯示slaveOK為false,當前副本集需要明確從節點參數,執行函數:
application:SECONDARY> rs.slaveOk() application:SECONDARY> show collections system.indexes users
查詢測試數據:
application:SECONDARY> db.users.find() { "_id" : ObjectId("5103dbc8f556a05a96a28e69"), "username" : "visionwang", "age" : 26 }
插入數據沒有拋出異常,但是顯示not master,表示當前從節點是只讀的:
application:SECONDARY> db.users.insert({username: "nl", age: 25}) not master
切換到9927主節點,使用系統空間庫查詢副本集信息:
application:PRIMARY> db.system.replset.findOne() { "_id" : "application", "version" : 1, "members" : [ { "_id" : 0, "host" : "localhost:9927" }, { "_id" : 1, "host" : "localhost:9928" }, { "_id" : 2, "host" : "localhost:9929", "arbiterOnly" : true } ] }
application:PRIMARY> db.getReplicationInfo() { "logSizeMB" : 1024, "usedMB" : 0.01, "timeDiff" : 169, "timeDiffHours" : 0.05, "tFirst" : "Sat Jan 26 2013 21:33:20 GMT+0800 (CDT)", "tLast" : "Sat Jan 26 2013 21:36:09 GMT+0800 (CDT)", "now" : "Sat Jan 26 2013 21:48:07 GMT+0800 (CDT)" }
進入9929端口,可以看到仲裁節點的提示符號:
mongo localhost:9929 application:ARBITER>
執行故障轉移測試,可以ctrl+c掉9927的主節點,觀察終端信息提示,9927處於down狀態,9928從節點自舉為主節點,回車后發現shell提示符號已經更改為application:PRIMARY,再將9927上線,添加為從節點,再ctrl+c掉9928節點,經過少許時間,9927端口又恢復成主節點,再將9928上線,系統恢復到初始的副本集,仲裁節點的作用是協調leader選舉,監測系統運行狀態,提供節點互相通訊的數據信息。
mongodb也支持簡單的主從復制,但是有了強大的副本集,幾乎找不到什么理由使用簡單的主從復制策略,甚至mongodb的分片(auto-sharding)也是使用副本集實現。
51CTO也有一個windows上面的版本http://database.51cto.com/art/201301/379033.htm。