The MapR Control System (MCS) is a graphical, programmatic control panel for cluster administration that provides complete cluster monitoring functionality and most of the functionality of the command line. This is Part 3 of the three-part series on MCS tutorials that talks about setting up Alarms and Notifications and the Metrics available on MCS.
Use the tutorials to perform the following operations in the MCS:
Part 1 (Click here)
Part 2 (Click here)
Part 3 (This tutorial)
Alarms alert you to issues within the cluster. Alarms provide information about overall cluster health, including disk failures. Alarms tell you which volumes are under-replicated or have reached quota, as well as when services stop running on a node.
MapR automatically raises node, volume, and user and group alarms. When the system raises an alarm, it can send email notifications to cluster, node, or volume owners. You can configure email addresses for alarms to notify additional people each time the system raises a new alarm.
Explore alarms in the MCS:
Configure an alarm notification:
When you install MapR, you can configure a MySQL database to store metrics. The MapR Metrics service collects and displays metrics for MapReduce jobs, tasks, and task attempts that run on the nodes in your cluster. The metrics help predict cluster usage, measure which jobs use the most resources, and troubleshoot the root causes of failures or performance problems.
You can view the following metrics for jobs, tasks, and task attempts:
Note: The MapR Sandbox for Hadoop does not contain metrics data.
View job metrics:
In this three-part series on MCS, you have learned how to navigate the MapR Control System interface, as well as how to perform some administrative tasks on a cluster. You set up rack topology, created a volume, snapshot, and mirrors, configured a notification, and viewed alarms and job metrics.