glusterfs 创建分布式副本卷

1、创建brick

在两台节点分别创建如下的目录：

[root@hadoop4 ~]# mkdir /data/brick1/brick2
[root@hadoop4 ~]# mkdir /data/brick1/brick3

2、创建分布式副本卷

gluster volume create drv1 replica 2 hadoop4:/data/brick1/brick2/ hadoop4:/data/brick1/brick3/ k8s-node2:/data/brick1/brick2/ k8s-node2:/data/brick1/brick3/
Replica 2 volumes are prone to split-brain. Use Arbiter or Replica 3 to avoid this. See: http://docs.gluster.org/en/latest/Administrator%20Guide/Split%20brain%20and%20ways%20to%20deal%20with%20it/.
Do you still want to continue?
 (y/n) y
volume create: drv1: failed: Multiple bricks of a replicate volume are present on the same server. This setup is not optimal. Bricks should be on different nodes to have best fault tolerant configuration. Use 'force' at the end of the command if you want to override this behavior. 

报错了，提示：同一服务器上存在复制卷的多个块。这是因为用两个节点来模拟分布式副本卷导致的，解决办法就是在后面加force
从新执行

[root@k8s-node2 gluster_client]# gluster volume create drv1 replica 2 hadoop4:/data/brick1/brick2/ hadoop4:/data/brick1/brick3/ k8s-node2:/data/brick1/brick2/ k8s-node2:/data/brick1/brick3/ force
volume create: drv1: success: please start the volume to access data

3、查看信息

3.1 查看

[root@k8s-node2 ~]# gluster volume list
drv1
rv0
rv1
[root@k8s-node2 ~]# gluster volume info drv1
 
Volume Name: drv1
Type: Distributed-Replicate
Volume ID: 426732fb-9c04-4831-b401-db7cac41a0e3
Status: Created
Snapshot Count: 0
Number of Bricks: 2 x 2 = 4
Transport-type: tcp
Bricks:
Brick1: hadoop4:/data/brick1/brick2
Brick2: hadoop4:/data/brick1/brick3
Brick3: k8s-node2:/data/brick1/brick2
Brick4: k8s-node2:/data/brick1/brick3
Options Reconfigured:
cluster.granular-entry-heal: on
storage.fips-mode-rchecksum: on
transport.address-family: inet
nfs.disable: on
performance.client-io-threads: off

可以看到类型是：Type: Distributed-Replicate
3.2、启动

# gluster volume start drv1 
volume start: drv1: success

4、客户端使用

4.1 创建挂载点

[root@k8s-node2 ~]# mkdir /gluster_client_dis
[root@k8s-node2 ~]# mount -t glusterfs hadoop4:/drv1 /gluster_client_dis/

注：这种模拟测试，由于在同一个节点使用了两块brick，导致创建出来的文件的副本在同一个节点，生产环境建议四台机器。