- 一、什麼是分片
- 二、分片叢集
- 1、元件構成
- 2、分片叢集內各元件間互動
- 三、資料如何切分
- 四、分片策略
- 1、雜湊分片
- 2、範圍分片
- 五、分片叢集架構
- 六、搭建分片叢集
- 1、涉及主機
- 2、所有主機安裝MongoDB
- 3、分片節點副本集的建立
- 3.1、第一套副本集shard1
- 3.1.1、準備存放資料和日誌的目錄
- 3.1.2、建立配置檔案
- 3.1.3、啟動第一套副本集:一主一副本一仲裁
- 3.1.4、初始化副本集、新增副本,仲裁節點
- 3.2、第二套副本集shard2
- 3.2.1、準備存放資料和日誌的目錄
- 3.1.2、建立配置檔案
- 3.2.3、啟動第二套副本集:一主一副本一仲裁
- 3.2.4、初始化副本集、新增副本,仲裁節點
- 3.1、第一套副本集shard1
- 4、配置節點副本集的建立
- 4.1、準備存放資料和日誌的目錄
- 4.2、建立配置檔案
- 4.3、啟動副本集
- 4.4、初始化副本集、新增副本節點
- 5、路由節點的建立和操作
- 5.1、建立連線第一個路由節點
- 5.1.1、準備存放日誌的目錄
- 5.1.2、建立配置檔案
- 5.1.3、啟動mongos
- 5.1.4、客戶端登入mongos
- 5.2、新增分片副本集
- 5.2.1、將第一套分片副本集新增進來
- 5.2.2、檢視分片狀態情況
- 5.2.3、將第二套分片副本集新增進來
- 5.2.4、檢視分片狀態情況
- 5.3、移除分片
- 5.4、開啟分片功能
- 5.5、針對分片策略--雜湊分片
- 5.5.1、插入資料測試
- 5.5.2、分別登入兩個分片節點主節點,統計文件數量
- 5.6、針對分片策略--範圍分片
- 5.6.1、插入資料測試
- 5.6.2、分別登入兩個分片節點主節點,統計文件數量
- 5.1、建立連線第一個路由節點
- 6、再新增一個路由節點
- 6.1、準備存放日誌的目錄
- 6.2、建立配置檔案
- 6.3、啟動mongos
- 6.4、客戶端登入mongos
- 6.5、檢視之前測試的資料
一、什麼是分片
分片是一種跨多臺機器分佈資料的方法。MongoDB 使用分片來支援超大資料集和高吞吐量操作的部署。
存在大型資料集或高吞吐量應用程式的資料庫系統可能對單個伺服器的容量構成挑戰。例如,較高的查詢速率可能會耗盡伺服器的 CPU 容量。大於系統 RAM 的工作集大小會對磁碟驅動器的 I/O 容量造成壓力。
有兩種方法可解決系統增長問題:垂直擴充套件和水平擴充套件。
Vertical Scaling(垂直擴充套件)涉及增大單個伺服器的容量,例如使用更強大的 CPU、新增更多 RAM 或增加儲存空間量。可用技術所存在的限制可能會導致單個機器對給定工作負載來說不夠強大。此外,基於雲的提供商存在基於可用硬體配置的硬上限。因此,垂直擴充套件存在實際的最大值。
Horizontal Scaling(橫向擴充套件)涉及將系統資料集和負載劃分到多個伺服器,以及按需增加伺服器以提高容量。雖然單個機器的總體速度或容量可能不高,但每個機器均可處理總體工作負載的一部分,因此可能會比單個高速、高容量伺服器提供更高的效率。擴充套件部署的容量只需按需新增額外的伺服器,而這可能會比單個機器的高階硬體的整體成本更低。但代價在於它會增大部署的基礎設施與維護的複雜性。
MongoDB 支援透過水平擴充套件進行分片
二、分片叢集
1、元件構成
- 分片:每個分片都包含分片資料的一個子集。每個分片都必須作為一個副本集
- mongos :
mongos
充當查詢路由器,在客戶端應用程式和分片叢集之間提供介面。mongos
可以支援對沖讀,以最大限度地減少延遲。 - 配置伺服器:配置伺服器會儲存叢集的後設資料和配置設定。 從 MongoDB 3.4 開始,配置伺服器必須作為副本集 (CSRS) 部署。
2、分片叢集內各元件間互動
三、資料如何切分
基於分片切分後的資料塊稱為 chunk,一個分片後的集合會包含多個 chunk,每個 chunk 位於哪個分片(Shard) 則記錄在 Config Server(配置伺服器)上。
Mongos 在操作分片集合時,會自動根據分片鍵找到對應的 chunk,並向該 chunk 所在的分片發起操作請求。
資料是根據分片策略來進行切分的,而分片策略則由 分片鍵(ShardKey)+分片演算法(ShardStrategy)組成。
四、分片策略
1、雜湊分片
雜湊分片涉及計算分片鍵欄位值的雜湊值。然後,根據雜湊分片鍵值為每個資料段分配一個範圍。
在使用雜湊索引解析查詢時,MongoDB 會自動計算雜湊值。應用程式無需計算雜湊值
雖然分片鍵的範圍可能“相近”,但它們的雜湊值卻不太可能位於同一資料段。基於雜湊值的資料分配可促進更均勻的資料分佈,尤其是在分片鍵單調
然而,雜湊分佈意味著對分片鍵進行基於範圍的查詢時,不太可能以單個分片為目標,從而導致更多的叢集範圍的廣播操作
2、範圍分片
範圍分片涉及根據分片鍵值將資料劃分為多個範圍。然後,根據分片鍵值為每個資料段分配一個範圍。
具有“相近”數值的一系列分片鍵更有可能位於同一個資料段上。這允許進行有針對性的操作,因為 mongos
只能將操作路由到包含所需資料的分片。
範圍分片的效率取決於所選分片鍵。考慮不周的分片鍵可能會導致資料分佈不均,從而抵消分片的某些好處甚或導致效能瓶頸。請參閱針對基於範圍的分片的分片鍵選擇
五、分片叢集架構
兩個分片節點副本集(3+3)+ 一個配置節點副本集(3)+兩個路由節點(2)
共11個服務節點。
六、搭建分片叢集
1、涉及主機
角色 | 主機名 | IP地址 |
---|---|---|
分片節點1 | shard1 | 192.168.112.10 |
分片節點2 | shard2 | 192.168.112.20 |
配置節點 | config-server | 192.168.112.30 |
路由節點 | router | 192.168.112.40 |
2、所有主機安裝MongoDB
wget https://fastdl.mongodb.org/linux/mongodb-linux-x86_64-rhel70-4.4.6.tgz
tar xzvf mongodb-linux-x86_64-rhel70-4.4.6.tgz -C /usr/local
cd /usr/local/
ln -s /usr/local/mongodb-linux-x86_64-rhel70-4.4.6 /usr/local/mongodb
vim /etc/profile
export PATH=/usr/local/mongodb/bin/:$PATH
source /etc/profile
3、分片節點副本集的建立
3.1、第一套副本集shard1
shard1主機操作
3.1.1、準備存放資料和日誌的目錄
mkdir -p /usr/local/mongodb/sharded_cluster/myshardrs01_27018/log \
/usr/local/mongodb/sharded_cluster/myshardrs01_27018/data/db \
/usr/local/mongodb/sharded_cluster/myshardrs01_27118/log \
/usr/local/mongodb/sharded_cluster/myshardrs01_27118/data/db \
/usr/local/mongodb/sharded_cluster/myshardrs01_27218/log \
/usr/local/mongodb/sharded_cluster/myshardrs01_27218/data/db
3.1.2、建立配置檔案
myshardrs01_27018
vim /usr/local/mongodb/sharded_cluster/myshardrs01_27018/mongod.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myshardrs01_27018/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myshardrs01_27018/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myshardrs01_27018/log/mongod.pid"
net:
bindIp: localhost,192.168.112.10
port: 27018
replication:
replSetName: myshardrs01
sharding:
clusterRole: shardsvr
myshardrs01_27118
vim /usr/local/mongodb/sharded_cluster/myshardrs01_27118/mongod.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myshardrs01_27118/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myshardrs01_27118/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myshardrs01_27118/log/mongod.pid"
net:
bindIp: localhost,192.168.112.10
port: 27118
replication:
replSetName: myshardrs01
sharding:
clusterRole: shardsvr
myshardrs01_27218
vim /usr/local/mongodb/sharded_cluster/myshardrs01_27218/mongod.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myshardrs01_27218/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myshardrs01_27218/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myshardrs01_27218/log/mongod.pid"
net:
bindIp: localhost,192.168.112.10
port: 27218
replication:
replSetName: myshardrs01
sharding:
clusterRole: shardsvr
3.1.3、啟動第一套副本集:一主一副本一仲裁
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myshardrs01_27018/mongod.conf
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myshardrs01_27118/mongod.conf
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myshardrs01_27218/mongod.conf
ps -ef|grep mongod
3.1.4、初始化副本集、新增副本,仲裁節點
連線主節點
mongo --host 192.168.112.10 --port 27018
- 初始化副本集
rs.initiate()
{
"info2" : "no configuration specified. Using a default configuration for the set",
"me" : "192.168.112.10:27018",
"ok" : 1
}
myshardrs01:SECONDARY>
myshardrs01:PRIMARY>
- 新增副本節點
rs.add("192.168.112.10:27118")
{
"ok" : 1,
"$clusterTime" : {
"clusterTime" : Timestamp(1714658449, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714658449, 1)
}
- 新增仲裁節點
rs.addArb("192.168.112.10:27218")
{
"ok" : 1,
"$clusterTime" : {
"clusterTime" : Timestamp(1714658509, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714658509, 1)
}
-
檢視副本集(關注各成員角色資訊、健康狀況即可)
-
rs.conf()
- 作用:此命令用於顯示當前副本集的配置資訊。它返回一個文件,包含了副本集的名稱、版本、協議版本、成員列表(包括每個成員的ID、主機地址、優先順序、角色等資訊)、設定選項等詳細配置細節。
- 應用場景:當你需要檢視或修改副本集的配置時(比如新增新成員、調整成員優先順序、檢視仲裁節點配置等),可以使用此命令。獲取到的配置資訊可以進一步用於重新配置副本集(
rs.reconfig()
)。
-
rs.status()
- 作用:此命令提供了副本集當前狀態的快照,包括各成員的執行狀態、主從角色、健康狀況、同步進度、心跳資訊、選舉資訊等。它幫助你瞭解副本集是否執行正常,成員之間是否保持同步,以及是否有主節點故障等情況。
- 應用場景:當監控副本集健康狀態、排查連線問題、檢查資料同步情況或確認主節點變更時,使用此命令非常有用。透過檢查
rs.status()
的輸出,管理員可以快速識別並解決叢集中的問題。
-
3.2、第二套副本集shard2
shard2主機操作
3.2.1、準備存放資料和日誌的目錄
mkdir -p /usr/local/mongodb/sharded_cluster/myshardrs02_27318/log \
/usr/local/mongodb/sharded_cluster/myshardrs02_27318/data/db \
/usr/local/mongodb/sharded_cluster/myshardrs02_27418/log \
/usr/local/mongodb/sharded_cluster/myshardrs02_27418/data/db \
/usr/local/mongodb/sharded_cluster/myshardrs02_27518/log \
/usr/local/mongodb/sharded_cluster/myshardrs02_27518/data/db
3.1.2、建立配置檔案
myshardrs02_27318
vim /usr/local/mongodb/sharded_cluster/myshardrs02_27318/mongod.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myshardrs02_27318/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myshardrs02_27318/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myshardrs02_27318/log/mongod.pid"
net:
bindIp: localhost,192.168.112.20
port: 27318
replication:
replSetName: myshardrs02
sharding:
clusterRole: shardsvr
myshardrs02_27418
vim /usr/local/mongodb/sharded_cluster/myshardrs02_27418/mongod.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myshardrs02_27418/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myshardrs02_27418/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myshardrs02_27418/log/mongod.pid"
net:
bindIp: localhost,192.168.112.20
port: 27418
replication:
replSetName: myshardrs02
sharding:
clusterRole: shardsvr
myshardrs02_27518
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myshardrs02_27518/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myshardrs02_27518/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myshardrs02_27518/log/mongod.pid"
net:
bindIp: localhost,192.168.112.20
port: 27518
replication:
replSetName: myshardrs02
sharding:
clusterRole: shardsvr
3.2.3、啟動第二套副本集:一主一副本一仲裁
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myshardrs02_27318/mongod.conf
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myshardrs02_27418/mongod.conf
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myshardrs02_27518/mongod.conf
ps -ef|grep mongod
3.2.4、初始化副本集、新增副本,仲裁節點
連線主節點
mongo --host 192.168.112.20 --port 27318
- 初始化副本集
rs.initiate()
{
"info2" : "no configuration specified. Using a default configuration for the set",
"me" : "192.168.112.20:27318",
"ok" : 1
}
myshardrs02:SECONDARY>
myshardrs02:PRIMARY>
- 新增副本節點
rs.add("192.168.112.20:27418")
{
"ok" : 1,
"$clusterTime" : {
"clusterTime" : Timestamp(1714660065, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714660065, 1)
}
- 新增仲裁節點
rs.addArb("192.168.112.20:27518")
{
"ok" : 1,
"$clusterTime" : {
"clusterTime" : Timestamp(1714660094, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714660094, 1)
}
- 檢視副本集
rs.status()
{
"set" : "myshardrs02",
"date" : ISODate("2024-05-02T14:29:57.930Z"),
"myState" : 1,
"term" : NumberLong(1),
"syncSourceHost" : "",
"syncSourceId" : -1,
"heartbeatIntervalMillis" : NumberLong(2000),
"majorityVoteCount" : 2,
"writeMajorityCount" : 2,
"votingMembersCount" : 3,
"writableVotingMembersCount" : 2,
"optimes" : {
"lastCommittedOpTime" : {
"ts" : Timestamp(1714660197, 1),
"t" : NumberLong(1)
},
"lastCommittedWallTime" : ISODate("2024-05-02T14:29:57.868Z"),
"readConcernMajorityOpTime" : {
"ts" : Timestamp(1714660197, 1),
"t" : NumberLong(1)
},
"readConcernMajorityWallTime" : ISODate("2024-05-02T14:29:57.868Z"),
"appliedOpTime" : {
"ts" : Timestamp(1714660197, 1),
"t" : NumberLong(1)
},
"durableOpTime" : {
"ts" : Timestamp(1714660197, 1),
"t" : NumberLong(1)
},
"lastAppliedWallTime" : ISODate("2024-05-02T14:29:57.868Z"),
"lastDurableWallTime" : ISODate("2024-05-02T14:29:57.868Z")
},
"lastStableRecoveryTimestamp" : Timestamp(1714660147, 1),
"electionCandidateMetrics" : {
"lastElectionReason" : "electionTimeout",
"lastElectionDate" : ISODate("2024-05-02T14:27:07.797Z"),
"electionTerm" : NumberLong(1),
"lastCommittedOpTimeAtElection" : {
"ts" : Timestamp(0, 0),
"t" : NumberLong(-1)
},
"lastSeenOpTimeAtElection" : {
"ts" : Timestamp(1714660027, 1),
"t" : NumberLong(-1)
},
"numVotesNeeded" : 1,
"priorityAtElection" : 1,
"electionTimeoutMillis" : NumberLong(10000),
"newTermStartDate" : ISODate("2024-05-02T14:27:07.802Z"),
"wMajorityWriteAvailabilityDate" : ISODate("2024-05-02T14:27:07.899Z")
},
"members" : [
{
"_id" : 0,
"name" : "192.168.112.20:27318",
"health" : 1,
"state" : 1,
"stateStr" : "PRIMARY",
"uptime" : 403,
"optime" : {
"ts" : Timestamp(1714660197, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2024-05-02T14:29:57Z"),
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"electionTime" : Timestamp(1714660027, 2),
"electionDate" : ISODate("2024-05-02T14:27:07Z"),
"configVersion" : 3,
"configTerm" : -1,
"self" : true,
"lastHeartbeatMessage" : ""
},
{
"_id" : 1,
"name" : "192.168.112.20:27418",
"health" : 1,
"state" : 2,
"stateStr" : "SECONDARY",
"uptime" : 132,
"optime" : {
"ts" : Timestamp(1714660187, 1),
"t" : NumberLong(1)
},
"optimeDurable" : {
"ts" : Timestamp(1714660187, 1),
"t" : NumberLong(1)
},
"optimeDate" : ISODate("2024-05-02T14:29:47Z"),
"optimeDurableDate" : ISODate("2024-05-02T14:29:47Z"),
"lastHeartbeat" : ISODate("2024-05-02T14:29:57.035Z"),
"lastHeartbeatRecv" : ISODate("2024-05-02T14:29:57.113Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncSourceHost" : "192.168.112.20:27318",
"syncSourceId" : 0,
"infoMessage" : "",
"configVersion" : 3,
"configTerm" : -1
},
{
"_id" : 2,
"name" : "192.168.112.20:27518",
"health" : 1,
"state" : 7,
"stateStr" : "ARBITER",
"uptime" : 102,
"lastHeartbeat" : ISODate("2024-05-02T14:29:57.035Z"),
"lastHeartbeatRecv" : ISODate("2024-05-02T14:29:57.068Z"),
"pingMs" : NumberLong(0),
"lastHeartbeatMessage" : "",
"syncSourceHost" : "",
"syncSourceId" : -1,
"infoMessage" : "",
"configVersion" : 3,
"configTerm" : -1
}
],
"ok" : 1,
"$clusterTime" : {
"clusterTime" : Timestamp(1714660197, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714660197, 1)
}
4、配置節點副本集的建立
config-server主機操作
4.1、準備存放資料和日誌的目錄
mkdir -p /usr/local/mongodb/sharded_cluster/myconfigrs_27019/log \
/usr/local/mongodb/sharded_cluster/myconfigrs_27019/data/db \
/usr/local/mongodb/sharded_cluster/myconfigrs_27119/log \
/usr/local/mongodb/sharded_cluster/myconfigrs_27119/data/db \
/usr/local/mongodb/sharded_cluster/myconfigrs_27219/log \
/usr/local/mongodb/sharded_cluster/myconfigrs_27219/data/db
4.2、建立配置檔案
myconfigrs_27019
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myconfigrs_27019/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myconfigrs_27019/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myconfigrs_27019/log/mongod.pid"
net:
bindIp: localhost,192.168.112.30
port: 27019
replication:
replSetName: myconfigr
sharding:
clusterRole: configsvr
注意:這裡的配置檔案與分片節點的配置檔案不一樣
分片角色:shardsvr為分片節點,configsvr配置節點
myconfigrs_27119
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myconfigrs_27119/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myconfigrs_27119/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myconfigrs_27119/log/mongod.pid"
net:
bindIp: localhost,192.168.112.30
port: 27119
replication:
replSetName: myconfigr
sharding:
clusterRole: configsvr
myconfigrs_27219
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/myconfigrs_27219/log/mongod.log"
logAppend: true
storage:
dbPath: "/usr/local/mongodb/sharded_cluster/myconfigrs_27219/data/db"
journal:
enabled: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/myconfigrs_27219/log/mongod.pid"
net:
bindIp: localhost,192.168.112.30
port: 27219
replication:
replSetName: myconfigr
sharding:
clusterRole: configsvr
4.3、啟動副本集
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myconfigrs_27019/mongod.conf
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myconfigrs_27119/mongod.conf
/usr/local/mongodb/bin/mongod -f /usr/local/mongodb/sharded_cluster/myconfigrs_27219/mongod.conf
ps -ef|grep mongod
4.4、初始化副本集、新增副本節點
連線主節點
mongo --host 192.168.112.30 --port 27019
- 初始化副本集
rs.initiate()
{
"info2" : "no configuration specified. Using a default configuration for the set",
"me" : "192.168.112.30:27019",
"ok" : 1,
"$gleStats" : {
"lastOpTime" : Timestamp(1714702204, 1),
"electionId" : ObjectId("000000000000000000000000")
},
"lastCommittedOpTime" : Timestamp(0, 0)
}
- 新增副本節點
rs.add("192.168.112.30:27119")
{
"ok" : 1,
"$gleStats" : {
"lastOpTime" : {
"ts" : Timestamp(1714702333, 2),
"t" : NumberLong(1)
},
"electionId" : ObjectId("7fffffff0000000000000001")
},
"lastCommittedOpTime" : Timestamp(1714702333, 2),
"$clusterTime" : {
"clusterTime" : Timestamp(1714702335, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714702333, 2)
}
rs.add("192.168.112.30:27219")
{
"ok" : 1,
"$gleStats" : {
"lastOpTime" : {
"ts" : Timestamp(1714702365, 2),
"t" : NumberLong(1)
},
"electionId" : ObjectId("7fffffff0000000000000001")
},
"lastCommittedOpTime" : Timestamp(1714702367, 1),
"$clusterTime" : {
"clusterTime" : Timestamp(1714702367, 1),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1714702365, 2)
}
- 檢視副本集
rs.conf()
{
"_id" : "myconfigr",
"version" : 3,
"term" : 1,
"configsvr" : true,
"protocolVersion" : NumberLong(1),
"writeConcernMajorityJournalDefault" : true,
"members" : [
{
"_id" : 0,
"host" : "192.168.112.30:27019",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 1,
"host" : "192.168.112.30:27119",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
},
{
"_id" : 2,
"host" : "192.168.112.30:27219",
"arbiterOnly" : false,
"buildIndexes" : true,
"hidden" : false,
"priority" : 1,
"tags" : {
},
"slaveDelay" : NumberLong(0),
"votes" : 1
}
],
"settings" : {
"chainingAllowed" : true,
"heartbeatIntervalMillis" : 2000,
"heartbeatTimeoutSecs" : 10,
"electionTimeoutMillis" : 10000,
"catchUpTimeoutMillis" : -1,
"catchUpTakeoverDelayMillis" : 30000,
"getLastErrorModes" : {
},
"getLastErrorDefaults" : {
"w" : 1,
"wtimeout" : 0
},
"replicaSetId" : ObjectId("6634477c7677719ed2388701")
}
}
5、路由節點的建立和操作
router主機操作
5.1、建立連線第一個路由節點
5.1.1、準備存放日誌的目錄
mkdir -p /usr/local/mongodb/sharded_cluster/mymongos_27017/log
5.1.2、建立配置檔案
vim /usr/local/mongodb/sharded_cluster/mymongos_27017/mongos.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/mymongos_27017/log/mongod.log"
logAppend: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/mymongos_27017/log/mongod.pid"
net:
bindIp: localhost,192.168.112.40
port: 27017
sharding:
configDB: myconfigrs/192.168.112.30:27019,192.168.112.30:27119,192.168.112.30:27219
5.1.3、啟動mongos
/usr/local/mongodb/bin/mongos -f /usr/local/mongodb/sharded_cluster/mymongos_27017/mongos.conf
5.1.4、客戶端登入mongos
mongo --port 27017
mongos> use test1
switched to db test1
mongos> db.q1.insert({a:"a1"})
WriteCommandError({
"ok" : 0,
"errmsg" : "unable to initialize targeter for write op for collection test1.q1 :: caused by :: Database test1 could not be created :: caused by :: No shards found",
"code" : 70,
"codeName" : "ShardNotFound",
"operationTime" : Timestamp(1714704496, 3),
"$clusterTime" : {
"clusterTime" : Timestamp(1714704496, 3),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
})
此時寫入不了資料
透過路由節點操作,現在只是連線了配置節點
還沒有連線分片資料節點,因此無法寫入業務資料
5.2、新增分片副本集
5.2.1、將第一套分片副本集新增進來
sh.addShard("myshardrs01/192.168.112.10:27018,192.168.112.10:27118,192.168.112.10:27218")
{
"shardAdded" : "myshardrs01",
"ok" : 1,
"operationTime" : Timestamp(1714705107, 3),
"$clusterTime" : {
"clusterTime" : Timestamp(1714705107, 3),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
5.2.2、檢視分片狀態情況
sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("6634477c7677719ed2388706")
}
shards:
{ "_id" : "myshardrs01", "host" : "myshardrs01/192.168.112.10:27018,192.168.112.10:27118", "state" : 1 }
most recently active mongoses:
"4.4.6" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
No recent migrations
databases:
{ "_id" : "config", "primary" : "config", "partitioned" : true }
5.2.3、將第二套分片副本集新增進來
sh.addShard("myshardrs02/192.168.112.20:27318,192.168.112.20:27418,192.168.112.20:27518")
{
"shardAdded" : "myshardrs02",
"ok" : 1,
"operationTime" : Timestamp(1714705261, 2),
"$clusterTime" : {
"clusterTime" : Timestamp(1714705261, 2),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
5.2.4、檢視分片狀態情況
sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("6634477c7677719ed2388706")
}
shards:
{ "_id" : "myshardrs01", "host" : "myshardrs01/192.168.112.10:27018,192.168.112.10:27118", "state" : 1 }
{ "_id" : "myshardrs02", "host" : "myshardrs02/192.168.112.20:27318,192.168.112.20:27418", "state" : 1 }
most recently active mongoses:
"4.4.6" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
34 : Success
databases:
{ "_id" : "config", "primary" : "config", "partitioned" : true }
config.system.sessions
shard key: { "_id" : 1 }
unique: false
balancing: true
chunks:
myshardrs01 990
myshardrs02 34
too many chunks to print, use verbose if you want to force print
5.3、移除分片
如果只剩下最後一個shard,是無法刪除的。
移除時會自動轉移分片資料,需要一個時間過程。
完成後,再次執行刪除分片命令才能真正刪除。
#示例:移除分片myshardrs02
use db
db.runCommand({removeShard: "myshardrs02"})
5.4、開啟分片功能
-
sh.enableSharding("庫名")
-
sh.shardCollection("庫名.集合名",{"key":1})
mongos> sh.enableSharding("test")
{
"ok" : 1,
"operationTime" : Timestamp(1714706298, 6),
"$clusterTime" : {
"clusterTime" : Timestamp(1714706298, 6),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
5.5、針對分片策略--雜湊分片
router主機操作
對comment這個集合使用hash方式分片
sh.shardCollection("test.comment",{"nickname":"hashed"})
{
"collectionsharded" : "test.comment",
"collectionUUID" : UUID("61ea1ec6-500b-4d00-86ed-3b2cce81a021"),
"ok" : 1,
"operationTime" : Timestamp(1714706573, 25),
"$clusterTime" : {
"clusterTime" : Timestamp(1714706573, 25),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
- 檢視分片狀態
sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("6634477c7677719ed2388706")
}
shards:
{ "_id" : "myshardrs01", "host" : "myshardrs01/192.168.112.10:27018,192.168.112.10:27118", "state" : 1 }
{ "_id" : "myshardrs02", "host" : "myshardrs02/192.168.112.20:27318,192.168.112.20:27418", "state" : 1 }
most recently active mongoses:
"4.4.6" : 1
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
512 : Success
databases:
{ "_id" : "config", "primary" : "config", "partitioned" : true }
config.system.sessions
shard key: { "_id" : 1 }
unique: false
balancing: true
chunks:
myshardrs01 512
myshardrs02 512
too many chunks to print, use verbose if you want to force print
{ "_id" : "test", "primary" : "myshardrs02", "partitioned" : true, "version" : { "uuid" : UUID("7f240c27-83dd-48eb-be8c-2e1336ec9190"), "lastMod" : 1 } }
test.comment
shard key: { "nickname" : "hashed" }
unique: false
balancing: true
chunks:
myshardrs01 2
myshardrs02 2
{ "nickname" : { "$minKey" : 1 } } -->> { "nickname" : NumberLong("-4611686018427387902") } on : myshardrs01 Timestamp(1, 0)
{ "nickname" : NumberLong("-4611686018427387902") } -->> { "nickname" : NumberLong(0) } on : myshardrs01 Timestamp(1, 1)
{ "nickname" : NumberLong(0) } -->> { "nickname" : NumberLong("4611686018427387902") } on : myshardrs02 Timestamp(1, 2)
{ "nickname" : NumberLong("4611686018427387902") } -->> { "nickname" : { "$maxKey" : 1 } } on : myshardrs02 Timestamp(1, 3)
5.5.1、插入資料測試
雜湊分片
向comment集合迴圈插入1000條資料做測試
mongos> use test
switched to db test
mongos> for(var i=1;i<=1000;i++){db.comment.insert({_id:i+"",nickname:"Test"+i})}
WriteResult({ "nInserted" : 1 })
mongos> db.comment.count()
1000
5.5.2、分別登入兩個分片節點主節點,統計文件數量
-
myshardrs01:
-
mongo --host 192.168.112.10 --port 27018 myshardrs01:PRIMARY> show dbs admin 0.000GB config 0.001GB local 0.001GB test 0.000GB myshardrs01:PRIMARY> use test switched to db test myshardrs01:PRIMARY> db.comment.count() 505
-
myshardrs01:PRIMARY> db.comment.find() { "_id" : "2", "nickname" : "Test2" } { "_id" : "4", "nickname" : "Test4" } { "_id" : "8", "nickname" : "Test8" } { "_id" : "9", "nickname" : "Test9" } { "_id" : "13", "nickname" : "Test13" } { "_id" : "15", "nickname" : "Test15" } { "_id" : "16", "nickname" : "Test16" } { "_id" : "18", "nickname" : "Test18" } { "_id" : "19", "nickname" : "Test19" } { "_id" : "20", "nickname" : "Test20" } { "_id" : "21", "nickname" : "Test21" } { "_id" : "25", "nickname" : "Test25" } { "_id" : "26", "nickname" : "Test26" } { "_id" : "27", "nickname" : "Test27" } { "_id" : "31", "nickname" : "Test31" } { "_id" : "32", "nickname" : "Test32" } { "_id" : "33", "nickname" : "Test33" } { "_id" : "35", "nickname" : "Test35" } { "_id" : "36", "nickname" : "Test36" } { "_id" : "38", "nickname" : "Test38" } Type "it" for more
基於雜湊值的資料分配
-
-
myshardrs02:
-
mongo --port 27318 myshardrs02:PRIMARY> show dbs admin 0.000GB config 0.001GB local 0.001GB test 0.000GB myshardrs02:PRIMARY> use test switched to db test myshardrs02:PRIMARY> db.comment.count() 495
-
myshardrs02:PRIMARY> db.comment.find() { "_id" : "1", "nickname" : "Test1" } { "_id" : "3", "nickname" : "Test3" } { "_id" : "5", "nickname" : "Test5" } { "_id" : "6", "nickname" : "Test6" } { "_id" : "7", "nickname" : "Test7" } { "_id" : "10", "nickname" : "Test10" } { "_id" : "11", "nickname" : "Test11" } { "_id" : "12", "nickname" : "Test12" } { "_id" : "14", "nickname" : "Test14" } { "_id" : "17", "nickname" : "Test17" } { "_id" : "22", "nickname" : "Test22" } { "_id" : "23", "nickname" : "Test23" } { "_id" : "24", "nickname" : "Test24" } { "_id" : "28", "nickname" : "Test28" } { "_id" : "29", "nickname" : "Test29" } { "_id" : "30", "nickname" : "Test30" } { "_id" : "34", "nickname" : "Test34" } { "_id" : "37", "nickname" : "Test37" } { "_id" : "39", "nickname" : "Test39" } { "_id" : "44", "nickname" : "Test44" } Type "it" for more
基於雜湊值的資料分配
-
5.6、針對分片策略--範圍分片
router主機操作
使用作者年齡欄位作為片鍵,按照年齡的值進行分片
mongos> sh.shardCollection("test.author",{"age":1})
{
"collectionsharded" : "test.author",
"collectionUUID" : UUID("9b8055c8-7a35-49d5-9e8f-07d6004b19b3"),
"ok" : 1,
"operationTime" : Timestamp(1714709641, 12),
"$clusterTime" : {
"clusterTime" : Timestamp(1714709641, 12),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
}
}
5.6.1、插入資料測試
範圍分片
向author集合迴圈插入20000條測試資料
mongos> use test
switched to db test
mongos> for (var i=1;i<=2000;i++){db.author.save({"name":"test"+i,"age":NumberInt(i%120)})}
WriteResult({ "nInserted" : 1 })
mongos> db.author.count()
2000
5.6.2、分別登入兩個分片節點主節點,統計文件數量
-
myshardrs02
-
myshardrs02:PRIMARY> show dbs admin 0.000GB config 0.001GB local 0.001GB test 0.000GB myshardrs02:PRIMARY> use test switched to db test myshardrs02:PRIMARY> show collections author comment myshardrs02:PRIMARY> db.author.count() 2000
-
-
myshardrs01
-
myshardrs01:PRIMARY> db.author.count() 0
-
-
發現所有的資料都集中在了一個分片副本上
-
如果發現沒有分片:
-
系統繁忙,正在分片中
-
資料塊(chunk)沒有填滿,預設的資料塊尺寸是64M,填滿後才會向其他片的資料庫填充資料,為了測試可以改小,但是生產環境請勿改動
-
use config
db.settings.save({_id:"chunksize",value:1})
# 改成1M
db.settings.save({_id:"chunksize",value:64})
6、再新增一個路由節點
router主機操作
6.1、準備存放日誌的目錄
mkdir -p /usr/local/mongodb/sharded_cluster/mymongos_27117/log
6.2、建立配置檔案
vim /usr/local/mongodb/sharded_cluster/mymongos_27117/mongos.conf
systemLog:
destination: file
path: "/usr/local/mongodb/sharded_cluster/mymongos_27117/log/mongod.log"
logAppend: true
processManagement:
fork: true
pidFilePath: "/usr/local/mongodb/sharded_cluster/mymongos_27117/log/mongod.pid"
net:
bindIp: localhost,192.168.112.40
port: 27117
sharding:
configDB: myconfigrs/192.168.112.30:27019,192.168.112.30:27119,192.168.112.30:27219
6.3、啟動mongos
/usr/local/mongodb/bin/mongos -f /usr/local/mongodb/sharded_cluster/mymongos_27117/mongos.conf
6.4、客戶端登入mongos
使用mongo客戶端登入27117
發現第二個路由無需配置,因為分片配置都儲存到了配置伺服器中了
mongo --port 27117
mongos> sh.status()
--- Sharding Status ---
sharding version: {
"_id" : 1,
"minCompatibleVersion" : 5,
"currentVersion" : 6,
"clusterId" : ObjectId("6634477c7677719ed2388706")
}
shards:
{ "_id" : "myshardrs01", "host" : "myshardrs01/192.168.112.10:27018,192.168.112.10:27118", "state" : 1 }
{ "_id" : "myshardrs02", "host" : "myshardrs02/192.168.112.20:27318,192.168.112.20:27418", "state" : 1 }
active mongoses:
"4.4.6" : 2
autosplit:
Currently enabled: yes
balancer:
Currently enabled: yes
Currently running: no
Failed balancer rounds in last 5 attempts: 0
Migration Results for the last 24 hours:
512 : Success
databases:
{ "_id" : "config", "primary" : "config", "partitioned" : true }
config.system.sessions
shard key: { "_id" : 1 }
unique: false
balancing: true
chunks:
myshardrs01 512
myshardrs02 512
too many chunks to print, use verbose if you want to force print
{ "_id" : "test", "primary" : "myshardrs02", "partitioned" : true, "version" : { "uuid" : UUID("7f240c27-83dd-48eb-be8c-2e1336ec9190"), "lastMod" : 1 } }
test.author
shard key: { "age" : 1 }
unique: false
balancing: true
chunks:
myshardrs02 1
{ "age" : { "$minKey" : 1 } } -->> { "age" : { "$maxKey" : 1 } } on : myshardrs02 Timestamp(1, 0)
test.comment
shard key: { "nickname" : "hashed" }
unique: false
balancing: true
chunks:
myshardrs01 2
myshardrs02 2
{ "nickname" : { "$minKey" : 1 } } -->> { "nickname" : NumberLong("-4611686018427387902") } on : myshardrs01 Timestamp(1, 0)
{ "nickname" : NumberLong("-4611686018427387902") } -->> { "nickname" : NumberLong(0) } on : myshardrs01 Timestamp(1, 1)
{ "nickname" : NumberLong(0) } -->> { "nickname" : NumberLong("4611686018427387902") } on : myshardrs02 Timestamp(1, 2)
{ "nickname" : NumberLong("4611686018427387902") } -->> { "nickname" : { "$maxKey" : 1 } } on : myshardrs02 Timestamp(1, 3)
6.5、檢視之前測試的資料
mongos> show dbs
admin 0.000GB
config 0.003GB
test 0.000GB
mongos> use test
switched to db test
mongos> db.comment.count()
1000
mongos> db.author.count()
2000
至此兩個分片節點副本集(3+3)+ 一個配置節點副本集(3)+兩個路由節點(2)的分片叢集搭建完成