Sharding：Shard Cluster 增加 shard 节点
一 现有环境
--1.1 查看Sharding Cluster 状态
mongos> sh.status();
---Sharding Status ---
sharding version: { "_id" : 1, "version" : 3 }
shards:
{ "_id" : "shard0000", "host" : "redhatB.example.com:5281" }
{ "_id" : "shard0001", "host" : "redhatB.example.com:5282" }
databases:
{ "_id" : "admin", "partitioned" : false, "primary" : "config" }
{ "_id" : "test", "partitioned" : false, "primary" : "shard0000" }
{ "_id" : "francs", "partitioned" : true, "primary" : "shard0000" }
francs.test_1 chunks:
shard0000 2
shard0001 1
{ "id" : { $minKey : 1 } } -->> { "id" : 1 } on : shard0000 Timestamp(2000, 1)
{ "id" : 1 } -->> { "id" : 11828 } on : shard0000 Timestamp(1000, 3)
{ "id" : 11828 } -->> { "id" : { $maxKey : 1 } } on : shard0001 Timestamp(2000, 0)
{ "_id" : "records", "partitioned" : false, "primary" : "shard0000" }
备注：两单节点的 shard。
--1.2 查看当前 test_1 集合状态
mongos> db.test_1.stats();
{
"sharded" : true,
"ns" : "francs.test_1",
"count" : 50000,
"numExtents" : 10,
"size" : 1800024,
"storageSize" : 5849088,
"totalIndexSize" : 3131408,
"indexSizes" : {
"_id_" : 1684256,
"id_1" : 1447152
},
"avgObjSize" : 36.00048,
"nindexes" : 2,
"nchunks" : 4,
"shards" : {
"shard0000" : {
"ns" : "francs.test_1",
"count" : 34350,
"size" : 1236600,
"avgObjSize" : 36,
"storageSize" : 3055616,
"numExtents" : 5,
"nindexes" : 2,
"lastExtentSize" : 2359296,
"paddingFactor" : 1,
"systemFlags" : 1,
"userFlags" : 0,
"totalIndexSize" : 2125760,
"indexSizes" : {
"_id_" : 1144640,
"id_1" : 981120
},
"ok" : 1
},
"shard0001" : {
"ns" : "francs.test_1",
"count" : 15650,
"size" : 563424,
"avgObjSize" : 36.00153354632588,
"storageSize" : 2793472,
"numExtents" : 5,
"nindexes" : 2,
"lastExtentSize" : 2097152,
"paddingFactor" : 1,
"systemFlags" : 1,
"userFlags" : 0,
"totalIndexSize" : 1005648,
"indexSizes" : {
"_id_" : 539616,
"id_1" : 466032
},
"ok" : 1
}
},
"ok" : 1
}
备注：集合 test_1 的数据分布在两 shard 节点。
二 新增 shard3 节点
--2.1 创建 shard3 数据目录和配置文件
[shard@redhatB shard]$ mkdir -p /shard/shard3 [shard@redhatB shard]$ touch /shard/shard3/shard3_5283.conf vim /shard/shard3/shard3_5283.conf fork = true port = 5283 dbpath = /shard/shard3 logpath = /shard/shard3/shard3.log logappend = true journal = true
--2.2 启动 shard3 节点
[shard@redhatB shard]$ mongod -f /shard/shard3/shard3_5283.conf forked process: 23241 all output going to: /shard/shard3/shard3.log child process started successfully, parent exiting
--2.3 新增 shard 节点
[shard@redhatB ~]$ mongo 127.0.0.1:7282
MongoDB shell version: 2.2.1
connecting to: 127.0.0.1:7282/test
mongos> sh.addShard("redhatB.example.com:5283");
{ "shardAdded" : "shard0002", "ok" : 1 }
备注：通过命令 addShard 新增 shard 节点。
--2.4 再次查看 shard cluster 状态
mongos> sh.status();
--- Sharding Status ---
sharding version: { "_id" : 1, "version" : 3 }
shards:
{ "_id" : "shard0000", "host" : "redhatB.example.com:5281" }
{ "_id" : "shard0001", "host" : "redhatB.example.com:5282" }
{ "_id" : "shard0002", "host" : "redhatB.example.com:5283" }
databases:
{ "_id" : "admin", "partitioned" : false, "primary" : "config" }
{ "_id" : "test", "partitioned" : false, "primary" : "shard0000" }
{ "_id" : "francs", "partitioned" : true, "primary" : "shard0000" }
francs.test_1 chunks:
shard0002 1
shard0000 1
shard0001 1
{ "id" : { $minKey : 1 } } -->> { "id" : 1 } on : shard0002 Timestamp(3000, 0)
{ "id" : 1 } -->> { "id" : 11828 } on : shard0000 Timestamp(3000, 1)
{ "id" : 11828 } -->> { "id" : { $maxKey : 1 } } on : shard0001 Timestamp(2000, 0)
{
--2.5 查看 test_1 集合状态
mongos> db.test_1.stats();
{
"sharded" : true,
"ns" : "francs.test_1",
"count" : 50000,
"numExtents" : 15,
"size" : 1800048,
"storageSize" : 8642560,
"totalIndexSize" : 3147760,
"indexSizes" : {
"_id_" : 1692432,
"id_1" : 1455328
},
"avgObjSize" : 36.00096,
"nindexes" : 2,
"nchunks" : 4,
"shards" : {
"shard0000" : {
"ns" : "francs.test_1",
"count" : 1964,
"size" : 70704,
"avgObjSize" : 36,
"storageSize" : 3055616,
"numExtents" : 5,
"nindexes" : 2,
"lastExtentSize" : 2359296,
"paddingFactor" : 1,
"systemFlags" : 1,
"userFlags" : 0,
"totalIndexSize" : 138992,
"indexSizes" : {
"_id_" : 73584,
"id_1" : 65408
},
"ok" : 1
},
"shard0001" : {
"ns" : "francs.test_1",
"count" : 15650,
"size" : 563424,
"avgObjSize" : 36.00153354632588,
"storageSize" : 2793472,
"numExtents" : 5,
"nindexes" : 2,
"lastExtentSize" : 2097152,
"paddingFactor" : 1,
"systemFlags" : 1,
"userFlags" : 0,
"totalIndexSize" : 1005648,
"indexSizes" : {
"_id_" : 539616,
"id_1" : 466032
},
"ok" : 1
},
"shard0002" : {
"ns" : "francs.test_1",
"count" : 32386,
"size" : 1165920,
"avgObjSize" : 36.000741060952265,
"storageSize" : 2793472,
"numExtents" : 5,
"nindexes" : 2,
"lastExtentSize" : 2097152,
"paddingFactor" : 1,
"systemFlags" : 1,
"userFlags" : 0,
"totalIndexSize" : 2003120,
"indexSizes" : {
"_id_" : 1079232,
"id_1" : 923888
},
"ok" : 1
}
},
"ok" : 1
}
备注：数据已分散到节点 shard3 了，这些工作是一个名为 Balancing 的进程完成的，
如果数据比较大，这步花的时间越长，这里不详细介绍。