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1 ### Understand the alert
2
3 This alert is triggered when the number of failed volumes in your Hadoop Distributed File System (HDFS) cluster increases. A failed volume may be due to hardware failure or misconfiguration, such as duplicate mounts. When a single volume fails on a DataNode, the entire node may go offline depending on the `dfs.datanode.failed.volumes.tolerated` setting for your cluster. This can lead to increased network traffic and potential performance degradation as the NameNode needs to copy any under-replicated blocks lost on that node.
4
5 ### Troubleshoot the alert
6
7 #### 1. Identify which DataNode has a failing volume
8
9 Use the `dfsadmin -report` command to identify the DataNodes that are offline:
10
11 ```bash
12 root@netdata # dfsadmin -report
13 ```
14
15 Find any nodes that are not reported in the output of the command. If all nodes are listed, you'll need to run the next command for each DataNode.
16
17 #### 2. Review the volumes status
18
19 Use the `hdfs dfsadmin -getVolumeReport` command, specifying the DataNode hostname and port:
20
21 ```bash
22 root@netdata # hdfs dfsadmin -getVolumeReport datanodehost:port
23 ```
24
25 #### 3. Inspect the DataNode logs
26
27 Connect to the affected DataNode and check its logs using `journalctl -xe`. If you have the Netdata Agent running on the DataNodes, you should be able to identify the problem. You may also receive alerts about the disks and mounts on this system.
28
29 #### 4. Take necessary actions
30
31 Based on the information gathered in the previous steps, take appropriate actions to resolve the issue. This may include:
32
33 - Repairing or replacing faulty hardware.
34 - Fixing misconfigurations such as duplicate mounts.
35 - Ensuring that the HDFS processes are running on the affected DataNode.
36 - Ensuring that the affected DataNode is properly communicating with the NameNode.
37
38 **Note**: When working with HDFS, it's essential to have proper backups of your data. Netdata is not responsible for any loss or corruption of data, database, or software.
39
40 ### Useful resources
41
42 1. [Apache Hadoop on Wikipedia](https://en.wikipedia.org/wiki/Apache_Hadoop)
43 2. [HDFS architecture](https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html)
44 3. [HDFS 3.3.1 commands guide](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HDFSCommands.html)