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Mongodb分片原理詳解及架構部署

發布時間:2020-06-25 15:13:01 來源:網絡 閱讀:6376 作者:明月幽谷 欄目:MongoDB數據庫

分片技術解決的需求痛點

(1)高數據量和吞吐量的數據庫應用會對單機的性能造成較大壓力;

(2)大的查詢量會將單機的CPU耗盡;

(3)大的數據量對單機的存儲壓力較大,最終會耗盡系統的內存而將壓力轉移到鍵盤IO上

何為分片?

MongoDB分片技術是使用多個服務器存儲數據的方法,以支持巨大的數據存儲和對數據的操作。當MongoDB存儲海量的數據時,一臺機器可能不足以存儲數據,也可能不足以提供可接受的讀寫吞吐量。這時,我們就可以通過在多臺機器上分割數據,使得數據庫系統能存儲和處理更多的數據。

MongoDB分片結構

下圖展示了MongoDB分片集群結構組成分布:

Mongodb分片原理詳解及架構部署

上圖中主要有如下所述三個主要組件:

  • Shard:分片服務器,

 用于存儲實際的數據塊,實際生產環境中一個shard server角色可由幾臺機器組個一個replica set承擔,防止主機單點故障

  • Config Server:配置服務器,

 mongod實例,存儲了整個 分片群集的配置信息,其中包括 chunk信息。

  • Query Routers:前端路由,

 客戶端由此接入,且讓整個集群看上去像單一數據庫,前端應用可以透明使用

MongoDB分片優勢:

  • 減少單個分片需要處理的請求數,提高群集的存儲容量和吞吐量

比如,當插入一條數據時,應用只需要訪問存儲這條數據的分片

  • 減少單分片存儲的數據,提高數據可用性,提高大型數據庫查詢服務的性能。

當MongoDB單點數據庫服務器存儲和性能成為瓶頸,或者需要部署大型應用以充分利用內存時,可以使用分片技術

分片群集簡單部署:

下面介紹如何在一臺CentOS7系統的物理服務器上部署一個簡單結構的MongoDB分片集群 。

  • 1臺路由實例(端口 27017)

  • 1臺配置實例(端口 37017)

  • 2臺分片實例(端口 47017, 47018)

本次實驗使用手工編譯安裝mongodb,

百度網盤免費提供安裝包:

https://pan.baidu.com/s/1bZXJDBrn9qxBF6r6IF_aLQ

具體步驟如下:

  • 安裝支持的軟件,解壓準備好的MongoDB軟件包,注意:本次安裝是在64位Linux系統上

yum install openssl-devel -y

tar zxvf mongodb-linux-x86_64-3.2.1.tgz -C /opt/

mv mongodb-linux-x86_64-3.2.1/ /usr/local/mongodb

  • 創建MongoDB四個實例的數據存儲目錄,日志存儲目錄/data/logs,日志文件,并修改權限

mkdir -p /data/mongodb/mongodb{1,2,3,4}

 

mkdir /data/logs

touch /data/logs/mongodb{1,2,3,4}.log

chmod -R 777 /data/logs/*.log

  • 針對MongoDB服務進行Linux系統內核調優

ulimit -n 25000  #最大文件 數

ulimit -u 25000  #最大進程數

  • 某節點內存不足時,從其他節點分配內存

sysctl -w vm.zone_reclaim_mode=0             #永久設置
echo never > /sys/kernel/mm/transparent_hugepage/enabled
echo never > /sys/kernel/mm/transparent_hugepage/defrag

ln -s /usr/local/mongodb/bin/*  /usr/bin/           #方便服務管理

部署配置服務器

  • 編輯mongodb1.conf配置文件,端口號為37017,設置configsvr=true,啟動配置服務器


    cd /usr/local/mongodb/bin/

vim mongodb1.conf

port=37017      #指定服務端口
dbpath=/data/mongodb/mongodb1    #數據存儲目錄
logpath=/data/logs/mongodb1.log        #日志文件
logappend=true           #使用追加方式寫日志
fork=true                       #后臺運行
maxConns=5000               #設定最大同時連接數,默認為2000
storageEngine=mmapv1        #指定存儲引擎為內存映射文件
configsvr=true        #配置服務

  • 啟動配置服務,并進入,可看到配置服務前綴為”configsvr>“,

[root@localhost bin]# mongod -f mongodb1.conf          #啟動配置服務器
about to fork child process, waiting until server is ready for connections.
forked process: 12594
child process started successfully, parent exiting
[root@localhost bin]# mongo --port 37017          #進入服務
MongoDB shell version: 3.2.1
connecting to: 127.0.0.1:37017/test
Server has startup warnings:
2018-09-15T04:39:24.967+0800 I STORAGE  [initandlisten]
2018-09-15T04:39:24.967+0800 I STORAGE  [initandlisten] ** WARNING: Readahead for /data/mongodb1 is set to 4096KB
2018-09-15T04:39:24.967+0800 I STORAGE  [initandlisten] **          We suggest setting it to 256KB (512 sectors) or less
2018-09-15T04:39:24.967+0800 I STORAGE  [initandlisten] **          http://dochub.mongodb.org/core/readahead
2018-09-15T04:39:25.828+0800 I CONTROL  [initandlisten] ** WARNING: You are running this process as the root user, which is not recommended.
2018-09-15T04:39:25.828+0800 I CONTROL  [initandlisten]
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten]
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is 'always'.
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten] **        We suggest setting it to 'never'
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten]
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/defrag is 'always'.
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten] **        We suggest setting it to 'never'
2018-09-15T04:39:25.829+0800 I CONTROL  [initandlisten]
configsvr>

部署分片服務器

  • 編輯mongodb2.conf配置文件,端口號為47017,設置shardsvr=true,

vim mongodb2.conf

port=47017
dbpath=/data/mongodb/mongodb2
logpath=/data/logs/mongodb2.log
logappend=true
fork=true
maxConns=5000
storageEngine=mmapv1
shardsvr=true

  • 同樣編輯mongodb3.conf配置文件,端口號為47018,

vim mongodb3.conf

port=47018
dbpath=/data/mongodb/mongodb3
logpath=/data/logs/mongodb3.log
logappend=true
fork=true
maxConns=5000
storageEngine=mmapv1
shardsvr=true

  • 啟動兩個分片服務器

[root@localhost bin]# mongod -f mongodb2.conf
about to fork child process, waiting until server is ready for connections.
forked process: 12810
child process started successfully, parent exiting
[root@localhost bin]# mongod -f mongodb3.conf
about to fork child process, waiting until server is ready for connections.
forked process: 12825
child process started successfully, parent exiting

啟動路由服務器

  • 通過./mongos --help命令可以查看啟動路由相關參數信息。chunkSize為數據塊大小,默認為200MB,為了便于測試這里將值設置為1

[root@localhost bin]# ./mongos --port 27017 --fork --logpath=/usr/local/mongodb/bin/route.log --configdb 192.168.30.55:37017 --chunkSize 1
2018-09-15T05:03:06.217+0800 W SHARDING [main] Running a sharded cluster with fewer than 3 config servers should only be done for testing purposes and is not recommended for production.
about to fork child process, waiting until server is ready for connections.
forked process: 12934
child process started successfully, parent exiting

啟用分片服務器

  • 連接到路由實例后,可以通過sh.status()命令查看分片狀態信息

[root@localhost bin]# mongo            #進入路由實例
MongoDB shell version: 3.2.1
connecting to: test
Server has startup warnings:
2018-09-15T16:00:19.746+0800 I CONTROL  [main] ** WARNING: You are running this process as the root user, which is not recommended.
2018-09-15T16:00:19.746+0800 I CONTROL  [main]
mongos> sh.status()
--- Sharding Status ---
  sharding version: {
    "_id" : 1,
    "minCompatibleVersion" : 5,
    "currentVersion" : 6,
    "clusterId" : ObjectId("5b9cbc14b4c77895df796bac")
}
  shards:                        #shards下為空,沒有分片服務器
  active mongoses:
    "3.2.1" : 1
  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:

  • 通過sh.addShard命令添加兩個分片服務器,

mongos> sh.addShard("192.168.30.55:47017")
{ "shardAdded" : "shard0000", "ok" : 1 }
mongos> sh.addShard("192.168.30.55:47018")
{ "shardAdded" : "shard0001", "ok" : 1 }

  • 再次查看分片信息,可以看到shards:選項下已經顯示剛剛添加的分片服務器


mongos> sh.status()
--- Sharding Status ---
  sharding version: {
    "_id" : 1,
    "minCompatibleVersion" : 5,
    "currentVersion" : 6,
    "clusterId" : ObjectId("5b9cbc14b4c77895df796bac")
}
  shards:
    {  "_id" : "shard0000",  "host" : "192.168.30.55:47017" }
    {  "_id" : "shard0001",  "host" : "192.168.30.55:47018" }
  active mongoses:
    "3.2.1" : 1
  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:

實現分片功能

  • 添加兩個分片服務器后,數據庫和集合還未啟用分片

mongos> show dbs
config  0.031GB
mongos> use school          #進入并創建數據庫school
switched to db school
mongos> for (var i=1;i<=50000;i++)db.info.insert({"id":i,"name":"tom"+i})           #創建集合info,并使用循環插入50000條數據

WriteResult({ "nInserted" : 1 })

  • 使用sh.enableSharding("school")命令啟用school數據庫分片

mongos> sh.enableSharding("school")           
{ "ok" : 1 }

  • 針對info集合創建索引

mongos> db.info.createIndex({"id":1})
{
    "raw" : {
        "192.168.30.55:47017" : {
            "createdCollectionAutomatically" : false,
            "numIndexesBefore" : 1,
            "numIndexesAfter" : 2,
            "ok" : 1
        }
    },
    "ok" : 1
}

  • 使用sh.shardCollection("school.info",{"id":1})命令對集合info進行分片

mongos> sh.shardCollection("school.info",{"id":1})
{ "collectionsharded" : "school.info", "ok" : 1 }

  • 查看分片信息


mongos> sh.status()
--- Sharding Status ---
  sharding version: {
    "_id" : 1,
    "minCompatibleVersion" : 5,
    "currentVersion" : 6,
    "clusterId" : ObjectId("5b9cbc14b4c77895df796bac")
}
  shards:                             
    {  "_id" : "shard0000",  "host" : "192.168.30.55:47017" }              #兩個分片服務器信息
    {  "_id" : "shard0001",  "host" : "192.168.30.55:47018" }
  active mongoses:
    "3.2.1" : 1
  balancer:
    Currently enabled:  yes
    Currently running:  no
    Failed balancer rounds in last 5 attempts:  0
    Migration Results for the last 24 hours:
        5 : Success
  databases:
    {  "_id" : "school",  "primary" : "shard0000",  "partitioned" : true }             #數據庫school的分片信息
        school.info
            shard key: { "id" : 1 }
            unique: false
            balancing: true
            chunks:                               #可以看到chunks均勻分布到兩個分片上
                shard0000    6
                shard0001    5
            { "id" : { "$minKey" : 1 } } -->> { "id" : 4682 } on : shard0001 Timestamp(2, 0)
            { "id" : 4682 } -->> { "id" : 9364 } on : shard0001 Timestamp(3, 0)
            { "id" : 9364 } -->> { "id" : 14046 } on : shard0001 Timestamp(4, 0)
            { "id" : 14046 } -->> { "id" : 18728 } on : shard0001 Timestamp(5, 0)
            { "id" : 18728 } -->> { "id" : 23410 } on : shard0001 Timestamp(6, 0)
            { "id" : 23410 } -->> { "id" : 28092 } on : shard0000 Timestamp(6, 1)
            { "id" : 28092 } -->> { "id" : 32774 } on : shard0000 Timestamp(1, 6)
            { "id" : 32774 } -->> { "id" : 37456 } on : shard0000 Timestamp(1, 7)
            { "id" : 37456 } -->> { "id" : 42138 } on : shard0000 Timestamp(1, 8)
            { "id" : 42138 } -->> { "id" : 46820 } on : shard0000 Timestamp(1, 9)
            { "id" : 46820 } -->> { "id" : { "$maxKey" : 1 } } on : shard0000 Timestamp(1, 10)

  • 添加標簽

mongos> sh.addShardTag("shard0000","abc01")
mongos> sh.addShardTag("shard0001","abc02")

mongos> sh.status()
--- Sharding Status ---
  sharding version: {
    "_id" : 1,
    "minCompatibleVersion" : 5,
    "currentVersion" : 6,
    "clusterId" : ObjectId("5b9cbc14b4c77895df796bac")
}
  shards:
    {  "_id" : "shard0000",  "host" : "192.168.30.55:47017",  "tags" : [ "abc01" ] }
    {  "_id" : "shard0001",  "host" : "192.168.30.55:47018",  "tags" : [ "abc02" ] }

 

MongoDB分片服務器管理

  • 根據需求可以添加或刪除sharding server。

[root@localhost bin]# cp mongodb3.conf mongodb4.conf
[root@localhost bin]# vim mongodb4.conf

port=47019
logpath=/data/logs/mongodb4.log
dbpath=/data/mongodb4

fork=true
logappend=true
maxConns=5000
storageEngine=mmapv1
shardsvr=true

  • 啟動實例4,進入路由實例添加新的分片服務器


[root@localhost bin]# mongod -f mongodb4.conf
about to fork child process, waiting until server is ready for connections.
forked process: 52634
child process started successfully, parent exiting
[root@localhost bin]# mongo
MongoDB shell version: 3.2.1
connecting to: test
Server has startup warnings:
2018-09-15T16:00:19.746+0800 I CONTROL  [main] ** WARNING: You are running this process as the root user, which is not recommended.
2018-09-15T16:00:19.746+0800 I CONTROL  [main]

  • 使用sh.addShard("192.168.30.55:47019") 命令添加一個新的分片服務器,再次查看分片信息,發現分片均勻地分布到3個分片服務器上


mongos> sh.addShard("192.168.30.55:47019")          #添加分片服務器
{ "shardAdded" : "shard0002", "ok" : 1 }
mongos> sh.status()                   #查看分片服務信息
--- Sharding Status ---
  sharding version: {
    "_id" : 1,
    "minCompatibleVersion" : 5,
    "currentVersion" : 6,
    "clusterId" : ObjectId("5b9cbc14b4c77895df796bac")
}
  shards:
    {  "_id" : "shard0000",  "host" : "192.168.30.55:47017" }
    {  "_id" : "shard0001",  "host" : "192.168.30.55:47018" }
   {  "_id" : "shard0002",  "host" : "192.168.30.55:47019" }
  active mongoses:
    "3.2.1" : 1
  balancer:
    Currently enabled:  yes
    Currently running:  no
    Failed balancer rounds in last 5 attempts:  0
    Migration Results for the last 24 hours:
        8 : Success
  databases:
    {  "_id" : "school",  "primary" : "shard0000",  "partitioned" : true }
        school.info
            shard key: { "id" : 1 }
            unique: false
            balancing: true
            chunks:
                shard0000    4
                shard0001    4
                shard0002    3
            { "id" : { "$minKey" : 1 } } -->> { "id" : 4682 } on : shard0002 Timestamp(9, 0)
            { "id" : 4682 } -->> { "id" : 9364 } on : shard0001 Timestamp(9, 1)
            { "id" : 9364 } -->> { "id" : 14046 } on : shard0001 Timestamp(4, 0)
            { "id" : 14046 } -->> { "id" : 18728 } on : shard0001 Timestamp(5, 0)
            { "id" : 18728 } -->> { "id" : 23410 } on : shard0001 Timestamp(6, 0)
            { "id" : 23410 } -->> { "id" : 28092 } on : shard0002 Timestamp(7, 0)
            { "id" : 28092 } -->> { "id" : 32774 } on : shard0002 Timestamp(8, 0)
            { "id" : 32774 } -->> { "id" : 37456 } on : shard0000 Timestamp(8, 1)
            { "id" : 37456 } -->> { "id" : 42138 } on : shard0000 Timestamp(1, 8)
            { "id" : 42138 } -->> { "id" : 46820 } on : shard0000 Timestamp(1, 9)
            { "id" : 46820 } -->> { "id" : { "$maxKey" : 1 } } on : shard0000 Timestamp(1, 10)

  • 使用db.runCommand({"removeshard":"192.168.30.55:47019"})命令可以刪除新添加的分片服務器

mongos> use admin           # 注:在admin db下執行命令。
switched to db admin
mongos> db.runCommand({"removeshard":"192.168.30.55:47019"})
{
    "msg" : "draining started successfully",
    "state" : "started",
    "shard" : "shard0002",
    "note" : "you need to drop or movePrimary these databases",
    "dbsToMove" : [ ],
    "ok" : 1
}
mongos> db.runCommand({"removeshard":"192.168.30.55:47019"})
{
    "msg" : "removeshard completed successfully",
    "state" : "completed",
    "shard" : "shard0002",
    "ok" : 1
}

“注意:該命令至少執行兩次才能成功刪除,執行到state為completed才真正刪除,否則就是沒有刪除成功,該分片處于"draining" : true狀態,該狀態下不但該分片沒有刪除成功,而且還影響接下來刪除其他分片操作,遇到該狀態再執行一次removeshard即可,最好就是刪除分片時一直重復執行刪除命令,直到state為completed

  • 再次查看分片信息,可以看到分片已刪除


mongos> sh.status()
--- Sharding Status ---
  sharding version: {
    "_id" : 1,
    "minCompatibleVersion" : 5,
    "currentVersion" : 6,
    "clusterId" : ObjectId("5b9cbc14b4c77895df796bac")
}
  shards:
    {  "_id" : "shard0000",  "host" : "192.168.30.55:47017" }
    {  "_id" : "shard0001",  "host" : "192.168.30.55:47018" }
  active mongoses:
    "3.2.1" : 1
  balancer:
    Currently enabled:  yes
    Currently running:  no
    Failed balancer rounds in last 5 attempts:  0
    Migration Results for the last 24 hours:
        11 : Success
  databases:
    {  "_id" : "school",  "primary" : "shard0000",  "partitioned" : true }
        school.info
            shard key: { "id" : 1 }
            unique: false
            balancing: true
            chunks:
                shard0000    6
                shard0001    5
            { "id" : { "$minKey" : 1 } } -->> { "id" : 4682 } on : shard0000 Timestamp(10, 0)
            { "id" : 4682 } -->> { "id" : 9364 } on : shard0001 Timestamp(9, 1)
            { "id" : 9364 } -->> { "id" : 14046 } on : shard0001 Timestamp(4, 0)
            { "id" : 14046 } -->> { "id" : 18728 } on : shard0001 Timestamp(5, 0)
            { "id" : 18728 } -->> { "id" : 23410 } on : shard0001 Timestamp(6, 0)
            { "id" : 23410 } -->> { "id" : 28092 } on : shard0001 Timestamp(11, 0)
            { "id" : 28092 } -->> { "id" : 32774 } on : shard0000 Timestamp(12, 0)
            { "id" : 32774 } -->> { "id" : 37456 } on : shard0000 Timestamp(8, 1)
            { "id" : 37456 } -->> { "id" : 42138 } on : shard0000 Timestamp(1, 8)
            { "id" : 42138 } -->> { "id" : 46820 } on : shard0000 Timestamp(1, 9)
            { "id" : 46820 } -->> { "id" : { "$maxKey" : 1 } } on : shard0000 Timestamp(1, 10)

連接配置服務器查看信息

  • 配置服務器存儲了MongoDB數據庫集合分片的詳細信息,可以通過以下命令查看

mongo --port 37017

configsvr> use config

configsvr> show collections  

....
collections
chunks
databases   
....

configsvr> db.chunks.findOne()

configsvr> db.collections.find()

configsvr> db.databases.find()

向AI問一下細節

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