MongoDB分片集群环境搭建好后简单的创建和测试数据库表

1.进入mongoDB：

./bin/mongo ip:30000

ip因设置而不同

2.新建数据库且分片：

mongos> use 502
switched to db 502
mongos> sh.enableSharding("502")
{ "ok" : 1 }

查看表状态：

mongos> sh.status()
--- Sharding Status ---
...//略
{  "_id" : "502",  "partitioned" : true,  "primary" : "shard0000" }

3.创建索引：

mongos> db.table1.ensureIndex({"id":1})
{
"raw" : {
"192.0.1.180:27017" : {
"createdCollectionAutomatically" : true,
"numIndexesBefore" : 1,
"numIndexesAfter" : 2,
"ok" : 1
}
},
"ok" : 1
}

4.表分片：

mongos> sh.shardCollection("502.table1",{"id":1})
{ "collectionsharded" : "502.table1", "ok" : 1 }

查看表状态：

<pre name="code" class="plain">mongos> sh.status()
--- Sharding Status ---
...//略
{ "_id" : "502", "partitioned" : true, "primary" : "shard0000" }
502.table1
shard key: { "id" : 1 }
chunks:
shard0000 1{ "id" : { "$minKey" : 1 } } -->> { "id" : { "$maxKey" : 1 } } on : shard0000 Timestamp(1, 0)

5.存储数据：

mongos> for(var i=1;i<=1000000;i++){
...  db.table1.save({"id":i,"x":Math.random(),"name":"xubo","time":"20150819","ops":"testinserttimes"});
...  }
WriteResult({ "nInserted" : 1 })

查看状态：

mongos> sh.status()
--- Sharding Status ---
<pre name="code" class="plain"><pre name="code" class="plain">
...//略
<pre name="code" class="html">    {  "_id" : "502",  "partitioned" : true,  "primary" : "shard0000" }
 502.table1
shard key: { "id" : 1 }
chunks:
shard0000    3
 shard0001    3
 shard0002    3
{ "id" : { "$minKey" : 1 } } -->> { "id" : 2 } on : shard0001 Timestamp(2, 0)
{ "id" : 2 } -->> { "id" : 10 } on : shard0001 Timestamp(4, 0)
{ "id" : 10 } -->> { "id" : 117038 } on : shard0002 Timestamp(7, 0)
{ "id" : 117038 } -->> { "id" : 242715 } on : shard0000 Timestamp(7, 1)
{ "id" : 242715 } -->> { "id" : 359743 } on : shard0002 Timestamp(5, 1)
{ "id" : 359743 } -->> { "id" : 490166 } on : shard0002 Timestamp(4, 3)
{ "id" : 490166 } -->> { "id" : 607194 } on : shard0000 Timestamp(5, 2)
{ "id" : 607194 } -->> { "id" : 767751 } on : shard0000 Timestamp(5, 3)
{ "id" : 767751 } -->> { "id" : { "$maxKey" : 1 } } on : shard0001 Timestamp(6, 0)

查看具体的数据：

mongos> db.table1.find()
{ "_id" : ObjectId("55d45098da50bfb96a039f13"), "id" : 1, "x" : 0.03590293787419796, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a7da50bfb96a07532d"), "id" : 242715, "x" : 0.39869119925424457, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d452afda50bfb96a0b19c8"), "id" : 490166, "x" : 0.19621717440895736, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d45098da50bfb96a039f14"), "id" : 2, "x" : 0.6352831239346415, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a9da50bfb96a07532e"), "id" : 242716, "x" : 0.9266659175045788, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d452b0da50bfb96a0b19c9"), "id" : 490167, "x" : 0.00011568982154130936, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d45098da50bfb96a039f15"), "id" : 3, "x" : 0.5743637685663998, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a9da50bfb96a07532f"), "id" : 242717, "x" : 0.49728200025856495, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d452b0da50bfb96a0b19ca"), "id" : 490168, "x" : 0.3094450223725289, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d45098da50bfb96a039f16"), "id" : 4, "x" : 0.397825826657936, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a9da50bfb96a075330"), "id" : 242718, "x" : 0.11095952079631388, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d452b0da50bfb96a0b19cb"), "id" : 490169, "x" : 0.6007435184437782, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d45098da50bfb96a039f17"), "id" : 5, "x" : 0.0571024667005986, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a9da50bfb96a075331"), "id" : 242719, "x" : 0.46688974485732615, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d452b0da50bfb96a0b19cc"), "id" : 490170, "x" : 0.9055150467902422, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d45098da50bfb96a039f18"), "id" : 6, "x" : 0.2606754114385694, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a9da50bfb96a075332"), "id" : 242720, "x" : 0.024089211830869317, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d452b0da50bfb96a0b19cd"), "id" : 490171, "x" : 0.7552208981942385, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d45098da50bfb96a039f19"), "id" : 7, "x" : 0.7744387136772275, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
{ "_id" : ObjectId("55d451a9da50bfb96a075333"), "id" : 242721, "x" : 0.6262992226984352, "name" : "xubo", "time" : "20150819", "ops" : "testinserttimes" }
Type "it" for more

查看表存储：

mongos> db.table1.stats()
{
"sharded" : true,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"ns" : "502.table1",
"count" : 1000000,
"numExtents" : 27,
"size" : 112000000,
"storageSize" : 182550528,
"totalIndexSize" : 66119312,
"indexSizes" : {
"_id_" : 35532896,
"id_1" : 30586416
},
"avgObjSize" : 112,
"nindexes" : 2,
"nchunks" : 9,
"shards" : {
"shard0000" : {
"ns" : "502.table1",
"count" : 403262,
"size" : 45165344,
"avgObjSize" : 112,
"numExtents" : 10,
"storageSize" : 86310912,
"lastExtentSize" : 27869184,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 24380832,
"indexSizes" : {
"_id_" : 13114304,
"id_1" : 11266528
},
"ok" : 1
},
"shard0001" : {
"ns" : "502.table1",
"count" : 232259,
"size" : 26013008,
"avgObjSize" : 112,
"numExtents" : 8,
"storageSize" : 37797888,
"lastExtentSize" : 15290368,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 14038192,
"indexSizes" : {
"_id_" : 7546448,
"id_1" : 6491744
},
"ok" : 1
},
"shard0002" : {
"ns" : "502.table1",
"count" : 364479,
"size" : 40821648,
"avgObjSize" : 112,
"numExtents" : 9,
"storageSize" : 58441728,
"lastExtentSize" : 20643840,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 27700288,
"indexSizes" : {
"_id_" : 14872144,
"id_1" : 12828144
},
"ok" : 1
}
},
"ok" : 1
}

显示总计000000个文档，分布为：

"shard0000" 为"count" : 403262；

"shard0001" 为 "count" : 232259；

"shard0002" 为"count" : 364479；

分片效果达到，不过不是很均匀。

猜测原因：数据量过小。

测试：

test 分布是否均匀

m1
> db.table1.stats()
{
"ns" : "503.table1",
"count" : 18939488,
"size" : 2121222656,
"avgObjSize" : 112,
"numExtents" : 21,
"storageSize" : 2897301504,
"lastExtentSize" : 756662272,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 1243267088,
"indexSizes" : {
"_id_" : 616707504,
"id_1" : 626559584
},
"ok" : 1
}
>

m2
switched to db 503
> db.table1.stats()
{
"ns" : "503.table1",
"count" : 20130979,
"size" : 2254669648,
"avgObjSize" : 112,
"numExtents" : 21,
"storageSize" : 2897301504,
"lastExtentSize" : 756662272,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 1330701232,
"indexSizes" : {
"_id_" : 653221520,
"id_1" : 677479712
},
"ok" : 1
}
>

m3

> db.table1.stats()
{
"ns" : "503.table1",
"count" : 19441399,
"size" : 2177436688,
"avgObjSize" : 112,
"numExtents" : 21,
"storageSize" : 2897301504,
"lastExtentSize" : 756662272,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 1276813216,
"indexSizes" : {
"_id_" : 637327376,
"id_1" : 639485840
},
"ok" : 1
}
>

M4

mongos> db.table1.stats()
{
"sharded" : true,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"ns" : "503.table1",
"count" : 58746135,
"numExtents" : 63,
"size" : 6579567120,
"storageSize" : 8691904512,
"totalIndexSize" : 3864926016,
"indexSizes" : {
"_id_" : 1914860080,
"id_1" : 1950065936
},
"avgObjSize" : 112,
"nindexes" : 2,
"nchunks" : 189,
"shards" : {
"shard0000" : {
"ns" : "503.table1",
"count" : 19173757,
"size" : 2147460784,
"avgObjSize" : 112,
"numExtents" : 21,
"storageSize" : 2897301504,
"lastExtentSize" : 756662272,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 1257411568,
"indexSizes" : {
"_id_" : 624311184,
"id_1" : 633100384
},
"ok" : 1
},
"shard0001" : {
"ns" : "503.table1",
"count" : 20130979,
"size" : 2254669648,
"avgObjSize" : 112,
"numExtents" : 21,
"storageSize" : 2897301504,
"lastExtentSize" : 756662272,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 1330701232,
"indexSizes" : {
"_id_" : 653221520,
"id_1" : 677479712
},
"ok" : 1
},
"shard0002" : {
"ns" : "503.table1",
"count" : 19441399,
"size" : 2177436688,
"avgObjSize" : 112,
"numExtents" : 21,
"storageSize" : 2897301504,
"lastExtentSize" : 756662272,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 1276813216,
"indexSizes" : {
"_id_" : 637327376,
"id_1" : 639485840
},
"ok" : 1
}
},
"ok" : 1
}
mongos> > db.table1.stats()
2015-08-20

继续增大：

mongos> db.table1.stats()
{
"sharded" : true,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"ns" : "503.table1",
"count" : 283894130,
"numExtents" : 81,
"size" : 31796142560,
"storageSize" : 40796368752,
"totalIndexSize" : 22588293056,
"indexSizes" : {
"_id_" : 9886361968,
"id_1" : 12701931088
},
"avgObjSize" : 112,
"nindexes" : 2,
"nchunks" : 969,
"shards" : {
"shard0000" : {
"ns" : "503.table1",
"count" : 95244054,
"size" : 10667334048,
"avgObjSize" : 112,
"numExtents" : 27,
"storageSize" : 13598789584,
"lastExtentSize" : 2146426864,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 7583419872,
"indexSizes" : {
"_id_" : 3313430288,
"id_1" : 4269989584
},
"ok" : 1
},
"shard0001" : {
"ns" : "503.table1",
"count" : 93219937,
"size" : 10440632944,
"avgObjSize" : 112,
"numExtents" : 27,
"storageSize" : 13598789584,
"lastExtentSize" : 2146426864,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 7423055808,
"indexSizes" : {
"_id_" : 3256157408,
"id_1" : 4166898400
},
"ok" : 1
},
"shard0002" : {
"ns" : "503.table1",
"count" : 95430139,
"size" : 10688175568,
"avgObjSize" : 112,
"numExtents" : 27,
"storageSize" : 13598789584,
"lastExtentSize" : 2146426864,
"paddingFactor" : 1,
"paddingFactorNote" : "paddingFactor is unused and unmaintained in 3.0. It remains hard coded to 1.0 for compatibility only.",
"userFlags" : 1,
"capped" : false,
"nindexes" : 2,
"totalIndexSize" : 7581817376,
"indexSizes" : {
"_id_" : 3316774272,
"id_1" : 4265043104
},
"ok" : 1
}
},
"ok" : 1
}

通过上述发现三个节点的数据相差很小，基本分布均匀。

参考资料：

[1] Chodorow K. MongoDB: the definitive guide[M]. " O'Reilly Media, Inc.", 2013. 中文版