The document discusses different ways to access a Hadoop cluster running on MapR technologies. It describes the MapR Control System (MCS) for administrative access via a web interface, the MapR Client for submitting jobs from a local machine, accessing the cluster filesystem via NFS for drag-and-drop of files, and using the Hive ODBC connector to query data with BI tools. Exercises are provided for hands-on experience with each of these access methods.

1. Accessing your Cluster
7/6/2012
© 2012 MapR Technologies Accessing your Cluster 1

2. Accessing your Cluster
Agenda
• Administrative Access: the MapR Control System (MCS)
• Exercise: The MCS
• The MapR Client
• Exercise: The MapR Client
• Direct Access NFS
• Exercise: NFS
• The Hive ODBC Connector
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3. Accessing your Cluster
Objectives
At the end of this module you will be able to:
• Manage your cluster with the MapR Control System
• Copy files to and from your cluster via NFS
• Use the MapR Client to access your cluster
• Explain the steps involved in using the Hive ODBC Connector with a BI
application
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4. The MapR Control
System
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5. The MapR Control System
 https://<web_server>:8443
 Can manage multiple clusters
– Defined in mapr-clusters.conf
 Standard set of tools to manage cluster
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6. Instructor Demo:
The MCS
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7. Exercise:
The MCS
 Connect to the MCS with a browser
 Navigate to the Dashboard, Nodes,
Volumes, JobTracker and other pages
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8. The MapR Client
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9. The MapR Client
 A MapR distribution of the
Hadoop shell
 A tool to submit jobs to the
cluster from your workstation
 Compatible with:
– Windows
– Mac
– Linux
 Permissions/Credentials the
same as the cluster
Work with the cluster from your laptop
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10. Exercise:
The MapR Client
 Install the MapR Client
 Submit a MapReduce job to the cluster
from your client
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11. Direct Access NFS
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12. Direct Access NFS
 Drag and drop
 Open files and apps
 Watch live data come in
 Fully read/write
 Multiple concurrent reads/writes
 Easy to get data in/out
 Same namespace paths as Hadoop
 Mount with
-o tcp,ver=3,nolock
Mount a cluster like a disk!
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13. Exercise:
NFS
 Install an NFS client
 Mount the cluster via NFS
 Copy a text file to the cluster filesystem
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14. The Hive ODBC
Connector
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16. Instructor Demo:
The Hive ODBC
Connector
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17. Questions
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