Dashboard - HDFS Overview

In this Chapter

Dashboard shows the monitoring details for QueryIO cluster.

Dashboard displays:

HDFS Overview

The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. HDFS provides high throughput access to application data and is suitable for applications that have large data sets. HDFS has a master/slave architecture. An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients. In addition, there are a number of DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system’s clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.

HDFS Overview displays storage summary and I/O summary. It also displays the NameNode summary and DataNode summary.


Storage Summary

Storage summary is gathered from DataNodes. It has a storage pie chart which shows storage space used versus storage space available.

I/O Summary

I/O summary is gathered from NameNode. It has a pie chart which shows total file reads versus total file writes.

NameNode Summary

It displays certain attributes about the NameNode in the cluster in a tabular form.
Summary attributes are:

DataNode Summary

It displays certain attributes about the DataNode in a tabular form. It displays information about all the DataNodes in the cluster.
Summary attributes are:

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