Docker 搭建 MongoDB 分片集群

如何使用 Docker 搭建 MongoDB 分片集群。

一、编写 dockerfile。

1、在适当目录下创建 mongod 的 dockerfile。

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$ vi dockerfile
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#version 1.0
from ubuntu
#maintainer 
maintainer hdx
#install 
run apt-get clean
run apt-get update
run apt-get install -y vim
run apt-get install -y openssh-server
run mkdir -p /var/run/sshd
#open port 22 20001
expose 22
expose 20001
#cmd ["/usr/sbin/sshd","-D"]
run apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv EA312927
run echo "deb http://repo.mongodb.org/apt/debian wheezy/mongodb-org/3.2 main" | sudo tee /etc/apt/sources.list.d/mongodb-org.list
#install mongodb
run apt-get update
run apt-get install -y mongodb-org
#create the mongodb data directory
run mkdir -p /data/db
entrypoint ["usr/bin/mongod"]

2、在适当目录下创建 mongod 的 dockerfile_mongos。

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$ vi dockerfile_mongos
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from ubuntu/mongo:latest
entrypoint ["usr/bin/mongos"]

二、通过 dockerfile 生成 image 镜像。

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$ sudo docker build -t  ubuntu/mongo:latest -<./dockerfile
$ sudo docker build -t  ubuntu/mongos:latest -<./dockerfile_mongos

查看 image 的生成情况。

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$ sudo docker images
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 REPOSITORY            TAG                 IMAGE ID            CREATED             SIZE
ubuntu/mongos         latest              6de9188a6c9c        37 hours ago        459MB
ubuntu/mongo          latest              e2e287510648        37 hours ago        459MB

发现 image 已经生成，然后通过 image 来创建容器了。

三、通过 image 镜像构建 mongo 集群。

1、创建2个分片服务(shardsvr)，每个 shardsvr 包含4个副本，其中1个主节点，2个从节点，1个仲裁节点。

-d 表示后台运行

-p 绑定 host 主机与 docker 的端口，第一个20001代表 host 主机端口，第二个代表对应的 docker 端口，绑定后可以通过调用 host 主机 ip:port 来访问 docker 启动的 mongoDB，我的主机端口为 10.0.0.116，所以下面的命令中IP都为这个。

注意：一定不能退在最后添加 —fork，使 mongo 服务后台运行，这样 docker 会任务无事可做而自杀！

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$ sudo docker run -d -p 20001:20001 --name rs1_container1 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs1
$ sudo docker run -d -p 20002:20001 --name rs1_container2 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs1
$ sudo docker run -d -p 20003:20001 --name rs1_container3 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs1
$ sudo docker run -d -p 20004:20001 --name rs1_container4 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs1
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$ sudo docker run -d -p 20011:20001 --name rs2_container1 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs2
$ sudo docker run -d -p 20012:20001 --name rs2_container2 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs2
$ sudo docker run -d -p 20013:20001 --name rs2_container3 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs2
$ sudo docker run -d -p 20014:20001 --name rs2_container4 ubuntu/mongo:latest --shardsvr --port 20001 --replSet rs2

2、创建2个配置服务(configsvr)。

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$ sudo docker run -d -p 21001:20001 --name config_container1 ubuntu/mongo:latest --configsvr --dbpath /data/db --replSet crs --port 20001
$ sudo docker run -d -p 21002:20001 --name config_container2 ubuntu/mongo:latest --configsvr --dbpath /data/db --replSet crs --port 20001

注意： --dbpath /data/db 一定要指定，因为—configsvr 默认路径是 /data/configdb，如果找不到会报错，然后 docker 直接自杀！

​ --replSet crs 从 mongoDB 版本3.2以后支持 configsvr 的副本集。

3、启动2个路由服务（mongos）。

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$ sudo docker run -d -p 22001:20001 --name mongos_container1 ubuntu/mongos:latest --configdb crs/10.0.0.116:21001,10.0.0.116:21002 --port 20001  
$ sudo docker run -d -p 22002:20001 --name mongos_container2 ubuntu/mongos:latest --configdb crs/10.0.0.116:21001,10.0.0.116:21002 --port 20001

注意： crs/10.0.0.116:21001,10.0.0.116:21002 mongodb 版本3.2以后通过这种形式指定 configdb，否则报错，ip 要写宿主机的实际 ip。

4、查看当前 docker 服务启动情况。

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$ sudo docker ps 
CONTAINER ID        IMAGE                  COMMAND                  CREATED             STATUS              PORTS                              NAMES
d3bcc8c6ae02        ubuntu/mongos:latest   "usr/bin/mongos --..."   17 hours ago        Up 5 seconds        22/tcp, 0.0.0.0:22002->20001/tcp   mongos_container2
532a28409c5d        ubuntu/mongos:latest   "usr/bin/mongos --..."   17 hours ago        Up 8 seconds        22/tcp, 0.0.0.0:22001->20001/tcp   mongos_container1
a071366a458d        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 14 seconds       22/tcp, 0.0.0.0:21002->20001/tcp   config_container2
88a34cbe67a6        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 18 seconds       22/tcp, 0.0.0.0:21001->20001/tcp   config_container1
8cec58a3fdc4        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 26 seconds       22/tcp, 0.0.0.0:20014->20001/tcp   rs2_container4
910881c88d92        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 29 seconds       22/tcp, 0.0.0.0:20013->20001/tcp   rs2_container3
f69972ae2b0a        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 31 seconds       22/tcp, 0.0.0.0:20012->20001/tcp   rs2_container2
c6e8cece4ef1        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 35 seconds       22/tcp, 0.0.0.0:20011->20001/tcp   rs2_container1
d93dba9c36a1        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 48 seconds       22/tcp, 0.0.0.0:20004->20001/tcp   rs1_container4
f49ebcbfec7d        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 51 seconds       22/tcp, 0.0.0.0:20003->20001/tcp   rs1_container3
3f683b8848b3        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 54 seconds       22/tcp, 0.0.0.0:20002->20001/tcp   rs1_container2
0f0792844d9d        ubuntu/mongo:latest    "usr/bin/mongod --..."   17 hours ago        Up 56 seconds       22/tcp, 0.0.0.0:20001->20001/tcp   rs1_container1

发现分片、配置服务、和路由服务都启动起来了。

四、mongo基本操作。

服务启动起来了，但是服务都是互相独立的，所以，接下来我们将这些服务器串联起来。

1、初始化分片 rs1 副本集。

任意选择 rs1 分片的一个副本，连接并进行配置

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# 主机上如果安装了 mongoDB，使用如下命令：
yangs-MacBook-Air:~ yang$ mongo 10.0.0.116:20001
# 这个是利用 docker 连接 mongoDB 命令，连接时二者选其一即可
yangs-MacBook-Air:~ yang$ docker exec -it mongos_container2 mongo 10.0.0.116:20001
# 切换数据库
use admin
# 写配置文件
config = {_id:"rs1",members:[ {_id:0,host:"10.0.0.116:20001"}, {_id:1,host:"10.0.0.116:20002"}, {_id:2,host:"10.0.0.116:20003"},{_id:3,host:"10.0.0.116:20004",arbiterOnly:true}] }
# 初始化副本集
rs.initiate(config)
# 查看副本集状态
rs.status()

结果：

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0f0792844d9d:20001(mongod-3.2.15)[PRIMARY:rs1] test> rs.status()
{
  "set": "rs1",
  "date": ISODate("2017-07-27T02:00:03.335Z"),
  "myState": 1,
  "term": NumberLong("4"),
  "heartbeatIntervalMillis": NumberLong("2000"),
  "members": [
    {
      "_id": 0,
      "name": "10.0.0.116:20001",
      "health": 1,
      "state": 1,
      "stateStr": "PRIMARY",
      "uptime": 442,
      "optime": {
        "ts": Timestamp(1501120374, 1),
        "t": NumberLong("4")
      },
      "optimeDate": ISODate("2017-07-27T01:52:54Z"),
      "electionTime": Timestamp(1501120373, 1),
      "electionDate": ISODate("2017-07-27T01:52:53Z"),
      "configVersion": 1,
      "self": true
    },
    {
      "_id": 1,
      "name": "10.0.0.116:20002",
      "health": 1,
      "state": 2,
      "stateStr": "SECONDARY",
      "uptime": 436,
      "optime": {
        "ts": Timestamp(1501120374, 1),
        "t": NumberLong("4")
      },
      "optimeDate": ISODate("2017-07-27T01:52:54Z"),
      "lastHeartbeat": ISODate("2017-07-27T02:00:03.139Z"),
      "lastHeartbeatRecv": ISODate("2017-07-27T02:00:03.139Z"),
      "pingMs": NumberLong("3"),
      "syncingTo": "10.0.0.116:20003",
      "configVersion": 1
    },
    {
      "_id": 2,
      "name": "10.0.0.116:20003",
      "health": 1,
      "state": 2,
      "stateStr": "SECONDARY",
      "uptime": 436,
      "optime": {
        "ts": Timestamp(1501120374, 1),
        "t": NumberLong("4")
      },
      "optimeDate": ISODate("2017-07-27T01:52:54Z"),
      "lastHeartbeat": ISODate("2017-07-27T02:00:03.136Z"),
      "lastHeartbeatRecv": ISODate("2017-07-27T02:00:01.665Z"),
      "pingMs": NumberLong("1"),
      "syncingTo": "10.0.0.116:20001",
      "configVersion": 1
    },
    {
      "_id": 3,
      "name": "10.0.0.116:20004",
      "health": 1,
      "state": 7,
      "stateStr": "ARBITER",
      "uptime": 431,
      "lastHeartbeat": ISODate("2017-07-27T02:00:03.136Z"),
      "lastHeartbeatRecv": ISODate("2017-07-27T01:59:59.780Z"),
      "pingMs": NumberLong("1"),
      "configVersion": 1
    }
  ],
  "ok": 1
}

2、初始化分片 rs2 副本集。

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# 任意选择 rs2 分片的一个副本
yangs-MacBook-Air:~ yang$ mongo 10.0.0.116:20011
# 切换数据库
use admin
# 写配置文件
config = {_id:"rs2",members:[ {_id:0,host:"10.0.0.116:20011"}, {_id:1,host:"10.0.0.116:20012"}, {_id:2,host:"10.0.0.116:20013"},{_id:3,host:"10.0.0.116:20014",arbiterOnly:true}] }
# 初始化副本集
rs.initiate(config)
# 查看副本集状态
rs.status()

3、初始化配置服务副本集。

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# 任意选择 crs 分片的一个副本
yangs-MacBook-Air:~ yang$ mongo 10.0.0.116:21001
# 切换数据库
use admin
# 写配置文件
config = {_id:"crs", configsvr:true, members:[ {_id:0,host:"10.0.0.116:21001"}, {_id:1,host:"10.0.0.116:21002"} ] }
# 初始化副本集
rs.initiate(config)
# 查看副本集状态
rs.status()

4、通过 mongos 添加分片关系到 configsvr。

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yangs-MacBook-Air:~ yang$ mongo 10.0.0.116:22001
use admin
db.runCommand({addshard:"rs1/10.0.0.116:20001,10.0.0.116:20002,10.0.0.116:20003,10.0.0.116:20004"})
db.runCommand({addshard:"rs2/10.0.0.116:20011,10.0.0.116:20012,10.0.0.116:20013,10.0.0.116:20014"})

查询结果如下：仲裁节点没有显示。

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532a28409c5d:20001(mongos-3.2.15)[mongos] admin> db.runCommand({listshards:1})
{
  "shards": [
    {
      "_id": "rs1",
      "host": "rs1/10.0.0.116:20001,10.0.0.116:20002,10.0.0.116:20003"
    },
    {
      "_id": "rs2",
      "host": "rs2/10.0.0.116:20011,10.0.0.116:20012,10.0.0.116:20013"
    }
  ],
  "ok": 1
}

5、设置数据库、集合分片。

设置索引， 为了数据被均衡分发，我们创建散列索引

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# 在 mongos 中
use mydb
db.person.ensureIndex({id: "hashed"})

设置集合分片

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# 在 mongos 中
db.runCommand({enablesharding:"mydb"})
db.runCommand({shardcollection:"mydb.person", key:{id:"hashed"}})

设置数据库 mydb、mydb 中 person 集合应用分片，片键为 person 集合的 id 字段。

说明：并不是数据库中所有集合都分片，只有设置了shardcollection 才分片，因为不是所有的集合都需要分片。

6、测试分片结果。

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use mydb
for (i =0; i<5000;i++){
db.person.save({id:i, company:"smartestee"})}

测试结果如下：发现已经成功分片，rs1 和 rs2 较为均匀，这和片键有关系，具体情况请查询如何选择片键。

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532a28409c5d:20001(mongos-3.2.15)[mongos] mydb> db.person.stats()
{
  "sharded": true,
  "capped": false,
  "ns": "mydb.person",
  "count": 5000,
  "size": 277766,
  "storageSize": 196608,
  "totalIndexSize": 323584,
  "indexSizes": {
    "_id_": 122880,
    "id_hashed": 200704
  },
  "avgObjSize": 55.5532,
  "nindexes": 2,
  "nchunks": 4,
  "shards": {
    "rs1": {
      "ns": "mydb.person",
      "count": 2480,
      "size": 137486,
      "avgObjSize": 55,
      "storageSize": 94208,
      "capped": false,
      "wiredTiger": {
        "metadata": {
          "formatVersion": 1
        },
        "creationString": "access_pattern_hint=none,allocation_size=4KB,app_metadata=(formatVersion=1),block_allocation=best,block_compressor=snappy,cache_resident=false,checksum=on,colgroups=,collator=,columns=,dictionary=0,encryption=(keyid=,name=),exclusive=false,extractor=,format=btree,huffman_key=,huffman_value=,ignore_in_memory_cache_size=false,immutable=false,internal_item_max=0,internal_key_max=0,internal_key_truncate=true,internal_page_max=4KB,key_format=q,key_gap=10,leaf_item_max=0,leaf_key_max=0,leaf_page_max=32KB,leaf_value_max=64MB,log=(enabled=true),lsm=(auto_throttle=true,bloom=true,bloom_bit_count=16,bloom_config=,bloom_hash_count=8,bloom_oldest=false,chunk_count_limit=0,chunk_max=5GB,chunk_size=10MB,merge_max=15,merge_min=0),memory_page_max=10m,os_cache_dirty_max=0,os_cache_max=0,prefix_compression=false,prefix_compression_min=4,source=,split_deepen_min_child=0,split_deepen_per_child=0,split_pct=90,type=file,value_format=u",
        "type": "file",
        "uri": "statistics:table:collection-16-4938398221887072838",
        "LSM": {
          "bloom filter false positives": 0,
          "bloom filter hits": 0,
          "bloom filter misses": 0,
          "bloom filter pages evicted from cache": 0,
          "bloom filter pages read into cache": 0,
          "bloom filters in the LSM tree": 0,
          "chunks in the LSM tree": 0,
          "highest merge generation in the LSM tree": 0,
          "queries that could have benefited from a Bloom filter that did not exist": 0,
          "sleep for LSM checkpoint throttle": 0,
          "sleep for LSM merge throttle": 0,
          "total size of bloom filters": 0
        },
        "block-manager": {
          "allocations requiring file extension": 0,
          "blocks allocated": 0,
          "blocks freed": 0,
          "checkpoint size": 40960,
          "file allocation unit size": 4096,
          "file bytes available for reuse": 36864,
          "file magic number": 120897,
          "file major version number": 1,
          "file size in bytes": 94208,
          "minor version number": 0
        },
        "btree": {
          "btree checkpoint generation": 4,
          "column-store fixed-size leaf pages": 0,
          "column-store internal pages": 0,
          "column-store variable-size RLE encoded values": 0,
          "column-store variable-size deleted values": 0,
          "column-store variable-size leaf pages": 0,
          "fixed-record size": 0,
          "maximum internal page key size": 368,
          "maximum internal page size": 4096,
          "maximum leaf page key size": 2867,
          "maximum leaf page size": 32768,
          "maximum leaf page value size": 67108864,
          "maximum tree depth": 0,
          "number of key/value pairs": 0,
          "overflow pages": 0,
          "pages rewritten by compaction": 0,
          "row-store internal pages": 0,
          "row-store leaf pages": 0
        },
        "cache": {
          "bytes currently in the cache": 21314,
          "bytes read into cache": 16816,
          "bytes written from cache": 0,
          "checkpoint blocked page eviction": 0,
          "data source pages selected for eviction unable to be evicted": 0,
          "hazard pointer blocked page eviction": 0,
          "in-memory page passed criteria to be split": 0,
          "in-memory page splits": 0,
          "internal pages evicted": 0,
          "internal pages split during eviction": 0,
          "leaf pages split during eviction": 0,
          "modified pages evicted": 0,
          "overflow pages read into cache": 0,
          "overflow values cached in memory": 0,
          "page split during eviction deepened the tree": 0,
          "page written requiring lookaside records": 0,
          "pages read into cache": 2,
          "pages read into cache requiring lookaside entries": 0,
          "pages requested from the cache": 1,
          "pages written from cache": 0,
          "pages written requiring in-memory restoration": 0,
          "tracked dirty bytes in the cache": 0,
          "unmodified pages evicted": 0
        },
        "cache_walk": {
          "Average difference between current eviction generation when the page was last considered": 0,
          "Average on-disk page image size seen": 0,
          "Clean pages currently in cache": 0,
          "Current eviction generation": 0,
          "Dirty pages currently in cache": 0,
          "Entries in the root page": 0,
          "Internal pages currently in cache": 0,
          "Leaf pages currently in cache": 0,
          "Maximum difference between current eviction generation when the page was last considered": 0,
          "Maximum page size seen": 0,
          "Minimum on-disk page image size seen": 0,
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