背景:
我们一般配置的Mongodb主从,或者Mongodb复制集,数据同步都是实时的。但如果在主节点上进行了错误的数据操作,这时候就会导致整个集群的数据都出错。因此,我们可以在一个集群中,挑选一个mongodb实例,用作复制延迟。当在主节点上误操作的时候,集群中有一个实例是不受影响的。这时候就可以利用这台不受影响的实例进行数据恢复。
以上就是mongodb的延迟复制节点的功能,当主节点进行一次数据操作后,延迟复制节不立马进行数据同步操作,而是在一段时间后,才同步数据。
配置:
以我的实验环境为例,以下为我的mongodb复制集:
cmh0:PRIMARY> rs.status() { "set" : "cmh0", "date" : ISODate("2016-08-22T02:43:16.240Z"), "myState" : 1, "members" : [ { "_id" : 1, "name" : "192.168.52.128:27017", "health" : 1, "state" : 1, "stateStr" : "PRIMARY", "uptime" : 82, "optime" : Timestamp(1470581983, 1), "optimeDate" : ISODate("2016-08-07T14:59:43Z"), "electionTime" : Timestamp(1471833721, 1), "electionDate" : ISODate("2016-08-22T02:42:01Z"), "configVersion" : 1, "self" : true }, { "_id" : 2, "name" : "192.168.52.135:27017", "health" : 1, "state" : 2, "stateStr" : "SECONDARY", "uptime" : 71, "optime" : Timestamp(1470581983, 1), "optimeDate" : ISODate("2016-08-07T14:59:43Z"), "lastHeartbeat" : ISODate("2016-08-22T02:43:15.138Z"), "lastHeartbeatRecv" : ISODate("2016-08-22T02:43:14.978Z"), "pingMs" : 0, "lastHeartbeatMessage" : "could not find member to sync from", "configVersion" : 1 }, { "_id" : 3, "name" : "192.168.52.135:27019", "health" : 1, "state" : 2, "stateStr" : "SECONDARY", "uptime" : 75, "optime" : Timestamp(1470581983, 1), "optimeDate" : ISODate("2016-08-07T14:59:43Z"), "lastHeartbeat" : ISODate("2016-08-22T02:43:15.138Z"), "lastHeartbeatRecv" : ISODate("2016-08-22T02:43:15.138Z"), "pingMs" : 0, "configVersion" : 1 } ], "ok" : 1 }
这时还未配置延迟复制节点,所以数据是实时同步的:
cmh0:PRIMARY> use cmhtest switched to db cmhtest cmh0:PRIMARY> db.cmh.insert({"name":"ChenMinghui"}) WriteResult({ "nInserted" : 1 }) cmh0:PRIMARY> rs.printReplicationInfo() configured oplog size: 990MB log length start to end: 195secs (0.05hrs) oplog first event time: Mon Aug 22 2016 10:51:22 GMT+0800 (CST) oplog last event time: Mon Aug 22 2016 10:54:37 GMT+0800 (CST) now: Mon Aug 22 2016 10:55:00 GMT+0800 (CST) cmh0:PRIMARY> rs.printSlaveReplicationInfo() source: 192.168.52.135:27017 syncedTo: Mon Aug 22 2016 10:54:37 GMT+0800 (CST) 0 secs (0 hrs) behind the primary source: 192.168.52.135:27019 syncedTo: Mon Aug 22 2016 10:54:37 GMT+0800 (CST) 0 secs (0 hrs) behind the primary
可以看到两个Secondary节点都在同一时间实时同步了数据。
配置192.168.52.135:27017为延迟复制节点:
cmh0:PRIMARY> cfg=rs.conf(); { "_id" : "cmh0", "version" : 1, "members" : [ { "_id" : 1, "host" : "192.168.52.128:27017", "arbiterOnly" : false, "buildIndexes" : true, "hidden" : false, "priority" : 1, "tags" : { }, "slaveDelay" : 0, "votes" : 1 }, { "_id" : 2, "host" : "192.168.52.135:27017", "arbiterOnly" : false, "buildIndexes" : true, "hidden" : false, "priority" : 1, "tags" : { }, "slaveDelay" : 0, "votes" : 1 }, { "_id" : 3, "host" : "192.168.52.135:27019", "arbiterOnly" : false, "buildIndexes" : true, "hidden" : false, "priority" : 1, "tags" : { }, "slaveDelay" : 0, "votes" : 1 } ], "settings" : { "chainingAllowed" : true, "heartbeatTimeoutSecs" : 10, "getLastErrorModes" : { }, "getLastErrorDefaults" : { "w" : 1, "wtimeout" : 0 } } } cmh0:PRIMARY> cfg.members[1].priority=0 0 cmh0:PRIMARY> cfg.members[1].slaveDelay=30 30 cmh0:PRIMARY> rs.reconfig(cfg); { "ok" : 1 } cmh0:PRIMARY> rs.conf() { "_id" : "cmh0", "version" : 2, "members" : [ { "_id" : 1, "host" : "192.168.52.128:27017", "arbiterOnly" : false, "buildIndexes" : true, "hidden" : false, "priority" : 1, "tags" : { }, "slaveDelay" : 0, "votes" : 1 }, { "_id" : 2, "host" : "192.168.52.135:27017", "arbiterOnly" : false, "buildIndexes" : true, "hidden" : false, "priority" : 0, "tags" : { }, "slaveDelay" : 30, "votes" : 1 }, { "_id" : 3, "host" : "192.168.52.135:27019", "arbiterOnly" : false, "buildIndexes" : true, "hidden" : false, "priority" : 1, "tags" : { }, "slaveDelay" : 0, "votes" : 1 } ], "settings" : { "chainingAllowed" : true, "heartbeatTimeoutSecs" : 10, "getLastErrorModes" : { }, "getLastErrorDefaults" : { "w" : 1, "wtimeout" : 0 } } }
可以看到192.168.52.135:27017节点出现了"slaveDelay":30的值,说明该节点的同步时间向后推迟了30秒。
具体大家可以测试一下,延迟复制时间大概会在30秒左右。有一点要注意,mongodb的系统时间必须一致,否则会造成延迟复制异常,导致在规定同步时间到了之后不进行同步操作。
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原文地址:http://icenycmh.blog.51cto.com/4077647/1841001