mongodb移除分片

MongoDB的Shard集群来说，添加一个分片很简单，AddShard就可以了。

但是缩减集群(删除分片)这种一般很少用到。由于曙光的某服务器又挂了，所以我们送修之前必须把它上面的数据自动迁移到其他Shard上。

1、执行RemoveShard命令

1	db.runCommand( { removeshard: "your_shard_name" } )

2

3	{ msg : "draining started successfully" , state: "started" , shard :"mongodb0", ok : 1 }

上面这句会立即返回，实际在后台执行。

2、查看迁移状态

我们可以反复执行上面语句，查看执行结果。

1	db.runCommand( { removeshard: "your_shard_name" } )

2

3	{ msg: "draining ongoing" , state: "ongoing", remaining: { chunks: 42, dbs : 1 }, ok: 1 }

从上面可以看到，正在迁移，还剩下42块没迁移完。

当remain为0之后，这一步就结束了。

3、移出非Shard数据

1	db.runCommand( { movePrimary: "myapp", to: "mongodb1" })

这次就不是立即返回了，需要很久，然后会返回如下：

1	{ "primary" : "mongodb1", "ok" : 1 }

4、最后的清理

上面步骤都完成后，还需要再执行一次RemoveShard，清理残余数据。

1	db.runCommand( { removeshard: "mongodb0" } )

执行成功后，会如下结果：

1	{ msg: "remove shard completed succesfully", stage: "completed", host: "mongodb0", ok : 1 }

显示completed后，就可以安心的关闭mongod的进程了。

一些遇到的问题：

Popgo: In my MongoDB sharding cluster, i used db.runCommand( { removeshard: "shard3" } )command to remove a shard "shard3", but it just puts the shard in draining mode, which will never end and three days past. All chunks of the shard "shard3" are moved into "shard1" or "shard2", but the APP read request can use it to query data. So i want to know which process of the sharding now or how to diagnose this problem?

MrKurt:You probably have a database using shard3 as its primary shard, check the output ofdb.printShardingStatus() to see where each database resides.

Once you figure out which database it is, move it to a different shard with the movePrimary command. Then run removeShard again and you should be good to go.

Popgo:

It is confirmed that there is a unsharded database test on the shard "shard3" and "shard3" is not the primary shard, then i drop "test" database and re-run removeshard command. It is success to remove the "shard3". From document, "Do not run the movePrimary until you have finished draining the shard". But our program also use the "shard3" with 3 nodes replicaset to query data. Why not to router APP requests to other available shards by mongos server?

Andre: You do need to run movePrimary to complete draining in the case of a db being on the primary. If you look at the results of the removeshard and see "chunks" : NumberLong(0) but "dbs": NumberLong(some number other than 0 ) you probably have a DB whose primary is the shard you are removing and will probably have to run movePrimary even though removeshard hasn't said "draining is complete". Check out this discussion on mongodb-user for more information:

相关的官方文档：http://docs.mongodb.org/manual/tutorial/remove-shards-from-cluster/

注意官方关于是否需要运行movePrimary的说明：

Databases with non-sharded collections store those collections on a single shard known as the primary shardfor that database. The following step is necessary only when the shard to remove is also the primary shard for one or more databases.

也就是说，如果在这个片上有非分片的collection，这样的话，分片的数据合到其他片上了，那么剩下的非分片数据，没法通过合并分片的方式合到其他服务器上，所以这时要运行一个movePrimary命令将这些非分片的数据移到另一个服务器上。db.runCommand( { movePrimary: "myapp", to: "mongodb1" })

This command migrates all remaining non-sharded data in the database named myapp to the shard namedmongodb1

还有一个官方说明需要注意的是：

Warning

Do not run the movePrimary until you have finished draining the shard

也就是说，一定要等到分片数据迁移完了，再运行movePrimary命令！！！

而且这句命令不像removeshard是异步的，这个movePrimary命令会等到将所有非分片数据都移到其他服务器后，才响应，所以时间有可能会比较长，主要还是看这个服务器上，非分片数据有多少。

另外，movePrimary执行完后，还记得将db.runCommand({removeshard:"shardx"})再运行一遍，直到看到如下结果{ msg: "remove shard completed successfully" , stage: "completed", host: "mongodb0", ok : 1 }

到此为止，迁移才真正完成，可以放心地关闭mongod。

about how to identify the non-sharding databases int server2, to run:db.printShardingStatus();

references:

If you need to figure out which database the removeshard output refers 
to, you can use the printShardingStatus command. It will tell you what 
is the "primary" shard for each non-partitioned database.

If any of the DBs have the drained shard listed as the primary, you 
will need to issue a move primary command (again listed on the page 
linked).