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" : {
"219.219.220.180:27017" : {
"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.table1shard 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
{ "_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。
参考资料：
[1] Chodorow K. MongoDB: the definitive guide[M]. " O‘Reilly Media, Inc.", 2013.
中文版
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