How it Works
VMware
Loading...
V
W
Z
Loading...
Loading...
vSphere Big Data Extensions - 2.2
User’s Manual
126 pgs1.55 Mb0
Table of contents
Loading...

VMware vSphere Big Data Extensions - 2.2 Administrator’s Guide

VMware vSphere Big Data Extensions
Administrator's and User's Guide
vSphere Big Data Extensions 2.2
This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition. To check for more recent editions of this document, see http://www.vmware.com/support/pubs.
EN-001701-00
You can find the most up-to-date technical documentation on the VMware Web site at:
http://www.vmware.com/support/
The VMware Web site also provides the latest product updates.
If you have comments about this documentation, submit your feedback to:
docfeedback@vmware.com
Copyright © 2013 – 2015 VMware, Inc. All rights reserved. Copyright and trademark information. This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 United States License
(http://creativecommons.org/licenses/by-nd/3.0/us/legalcode).
VMware, Inc.
3401 Hillview Ave. Palo Alto, CA 94304 www.vmware.com
2 VMware, Inc.

Contents

About This Book 7
About VMware vSphere Big Data Extensions 9
1
Getting Started with Big Data Extensions 9
Big Data Extensions and Project Serengeti 10
About Big Data Extensions Architecture 12
About Application Managers 12
Big Data Extensions Support for MapReduce Distribution Features 15
Feature Support By Hadoop Distribution 17
Installing Big Data Extensions 19
2
System Requirements for Big Data Extensions 19
Unicode UTF-8 and Special Character Support 22
The Customer Experience Improvement Program 23
Deploy the Big Data Extensions vApp in the vSphere Web Client 24
Install RPMs in the Serengeti Management Server Yum Repository 27
Install the Big Data Extensions Plug-In 28
Configure vCenter Single Sign-On Settings for the Serengeti Management Server 30
Connect to a Serengeti Management Server 30
Install the Serengeti Remote Command-Line Interface Client 31
Access the Serengeti CLI By Using the Remote CLI Client 32
Upgrading Big Data Extensions 35
3
Prepare to Upgrade Big Data Extensions 35
Upgrade Big Data Extensions Virtual Appliance 37
Upgrade the Big Data Extensions Plug-in 40
Upgrade the Serengeti CLI 41
Upgrade Big Data Extensions Virtual Machine Components by Using the Serengeti Command-Line
Interface 41
Add a Remote Syslog Server 42
VMware, Inc.
Managing Application Managers 45
4
Add an Application Manager by Using the vSphere Web Client 45
Modify an Application Manager by Using the Web Client 46
Delete an Application Manager by Using the vSphere Web Client 46
View Application Managers and Distributions by Using the Web Client 46
View Roles for Application Manager and Distribution by Using the Web Client 46
Managing Hadoop Distributions 49
5
Hadoop Distribution Deployment Types 50
3
Configure a Tarball-Deployed Hadoop Distribution by Using the Serengeti Command-Line
Interface 50
Configuring Yum and Yum Repositories 52
Create a Hadoop Template Virtual Machine using RHEL Server 6.x and VMware Tools 69
Maintain a Customized Hadoop Template Virtual Machine 73
Managing the Big Data Extensions Environment 75
6
Add Specific User Names to Connect to the Serengeti Management Server 75
Change the Password for the Serengeti Management Server 76
Create a User Name and Password for the Serengeti Command-Line Interface 77
Specify a Group of Users in Active Directory or LDAP to Use a Hadoop Cluster 77
Stop and Start Serengeti Services 78
Ports Used for Communication between Big Data Extensions and the vCenter Server 79
Verify the Operational Status of the Big Data Extensions Environment 80
Managing vSphere Resources for Clusters 91
7
Add a Resource Pool with the Serengeti Command-Line Interface 91
Remove a Resource Pool with the Serengeti Command-Line Interface 92
Add a Datastore in the vSphere Web Client 92
Remove a Datastore in the vSphere Web Client 93
Add a Network in the vSphere Web Client 93
Modify the DNS Type in the vSphere Web Client 94
Reconfigure a Static IP Network in the vSphere Web Client 95
Remove a Network in the vSphere Web Client 95
Creating Hadoop and HBase Clusters 97
8
About Hadoop and HBase Cluster Deployment Types 99
Hadoop Distributions Supporting MapReduce v1 and MapReduce v2 (YARN) 99
About Cluster Topology 100
About HBase Database Access 100
Create a Big Data Cluster in the vSphere Web Client 101
Create an HBase Only Cluster in Big Data Extensions 104
Create a Cluster with an Application Manager by Using the vSphere Web Client 106
Create a Compute-Only Cluster with a Third Party Application Manager by Using vSphere Web
Client 106
Create a Compute Workers Only Cluster by Using the vSphere Web Client 107
Managing Hadoop and HBase Clusters 109
9
Stop and Start a Cluster in the vSphere Web Client 109
Delete a Cluster in the vSphere Web Client 110
About Resource Usage and Elastic Scaling 110
Scale a Cluster in or out by using the vSphere Web Client 114
Scale CPU and RAM in the vSphere Web Client 115
Use Disk I/O Shares to Prioritize Cluster Virtual Machines in the vSphere Web Client 116
About vSphere High Availability and vSphere Fault Tolerance 116
Change the User Password on All of the Nodes of a Cluster 117
Reconfigure a Cluster with the Serengeti Command-Line Interface 117
Recover from Disk Failure with the Serengeti Command-Line Interface Client 119
4 VMware, Inc.
Enter Maintenance Mode to Perform Backup and Restore with the Serengeti Command-Line
Interface Client 120
Log in to Hadoop Nodes with the Serengeti Command-Line Interface Client 121
Contents
Monitoring the Big Data Extensions Environment 123
10
Enable the Big Data Extensions Data Collector 123
Disable the Big Data Extensions Data Collector 124
View Serengeti Management Server Initialization Status 124
View Provisioned Clusters in the vSphere Web Client 125
View Cluster Information in the vSphere Web Client 126
Monitor the HDFS Status in the vSphere Web Client 127
Monitor MapReduce Status in the vSphere Web Client 127
Monitor HBase Status in the vSphere Web Client 128
Accessing Hive Data with JDBC or ODBC 129
11
Configure Hive to Work with JDBC 129
Configure Hive to Work with ODBC 131
Big Data Extensions Security Reference 133
12
Services, Network Ports, and External Interfaces 133
Big Data Extensions Configuration Files 135
Big Data Extensions Public Key, Certificate, and Keystore 136
Big Data Extensions Log Files 136
Big Data Extensions User Accounts 137
Security Updates and Patches 137
Troubleshooting 139
13
Log Files for Troubleshooting 140
Configure Serengeti Logging Levels 140
Collect Log Files for Troubleshooting 141
Troubleshooting Cluster Creation Failures 142
Big Data Extensions Virtual Appliance Upgrade Fails 148
Upgrade Cluster Error When Using Cluster Created in Earlier Version of Big Data Extensions 149
Virtual Update Manager Does Not Upgrade the Hadoop Template Virtual Machine Under Big
Data Extensions vApp 149
Unable to Connect the Big Data Extensions Plug-In to the Serengeti Server 150
vCenter Server Connections Fail to Log In 151
Management Server Cannot Connect to vCenter Server 151
Cannot Perform Serengeti Operations after Deploying Big Data Extensions 151
SSL Certificate Error When Connecting to Non-Serengeti Server with the vSphere Console 152
Cannot Restart or Reconfigure a Cluster For Which the Time Is Not Synchronized 153
Cannot Restart or Reconfigure a Cluster After Changing Its Distribution 153
Virtual Machine Cannot Get IP Address and Command Fails 153
Cannot Change the Serengeti Server IP Address From the vSphere Web Client 154
A New Plug-In Instance with the Same or Earlier Version Number as a Previous Plug-In Instance
Does Not Load 155
Host Name and FQDN Do Not Match for Serengeti Management Server 155
Serengeti Operations Fail After You Rename a Resource in vSphere 156
VMware, Inc. 5
Big Data Extensions Server Does Not Accept Resource Names With Two or More Contiguous
White Spaces 156
Non-ASCII characters are not displayed correctly 156
MapReduce Job Fails to Run and Does Not Appear In the Job History 157
Cannot Submit MapReduce Jobs for Compute-Only Clusters with External Isilon HDFS 157
MapReduce Job Stops Responding on a PHD or CDH4 YARN Cluster 158
Cannot Download the Package When Using Downloadonly Plugin 158
Cannot Find Packages When You Use Yum Search 158
Remove the HBase Rootdir in HDFS Before You Delete the HBase Only Cluster 159
Index 161
6 VMware, Inc.

About This Book

VMware vSphere Big Data Extensions Administrator's and User's Guide describes how to install VMware vSphere Big Data Extensions™ within your vSphere environment, and how to manage and monitor Hadoop and HBase clusters using the Big Data Extensions plug-in for vSphere Web Client.
VMware vSphere Big Data Extensions Administrator's and User's Guide also describes how to perform Hadoop and HBase operations using the VMware Serengeti™ Command-Line Interface Client, which provides a greater degree of control for certain system management and big data cluster creation tasks.
Intended Audience
This guide is for system administrators and developers who want to use Big Data Extensions to deploy and manage Hadoop clusters. To successfully work with Big Data Extensions, you should be familiar with VMware® vSphere® and Hadoop and HBase deployment and operation.
VMware Technical Publications Glossary
VMware Technical Publications provides a glossary of terms that might be unfamiliar to you. For definitions of terms as they are used in VMware technical documentation, go to
http://www.vmware.com/support/pubs.
VMware, Inc.
7
8 VMware, Inc.
About VMware vSphere Big Data
Extensions 1
VMware vSphere Big Data Extensions lets you deploy and centrally operate big data clusters running on VMware vSphere. Big Data Extensions simplifies the Hadoop and HBase deployment and provisioning process, and gives you a real time view of the running services and the status of their virtual hosts. It provides a central place from which to manage and monitor your big data cluster, and incorporates a full range of tools to help you optimize cluster performance and utilization.
This chapter includes the following topics:
“Getting Started with Big Data Extensions,” on page 9
n
“Big Data Extensions and Project Serengeti,” on page 10
n
“About Big Data Extensions Architecture,” on page 12
n
“About Application Managers,” on page 12
n
“Big Data Extensions Support for MapReduce Distribution Features,” on page 15
n
“Feature Support By Hadoop Distribution,” on page 17
n

Getting Started with Big Data Extensions

Big Data Extensions lets you deploy big data clusters. The tasks in this section describe how to set up VMware vSphere® for use with Big Data Extensions, deploy the Big Data Extensions vApp, access the VMware vCenter Server® and command-line interface (CLI) administrative consoles, and configure a Hadoop distribution for use with Big Data Extensions.
Prerequisites
Understand what Project Serengeti® and Big Data Extensions is so that you know how they fit into your
n
big data workflow and vSphere environment.
Verify that the Big Data Extensions features that you want to use, such as data-compute separated
n
clusters and elastic scaling, are supported by Big Data Extensions for the Hadoop distribution that you want to use.
Understand which features are supported by your Hadoop distribution.
n
Procedure
1 Do one of the following.
Install Big Data Extensions for the first time. Review the system requirements, install vSphere, and
n
install the Big Data Extensions components: Big Data Extensions vApp, Big Data Extensions plug­in for vCenter Server, and Serengeti CLI Client.
Upgrade Big Data Extensions from a previous version. Perform the upgrade steps.
n
VMware, Inc.
9
2 (Optional) Install and configure a distribution other than Apache Bigtop for use with
Big Data Extensions.
Apache Bigtop is included in the Serengeti Management Server, but you can use any Hadoop distribution that Big Data Extensions supports.
What to do next
After you have successfully installed and configured your Big Data Extensions environment, you can perform the following additional tasks.
Stop and start the Serengeti services, create user accounts, manage passwords, and log in to cluster
n
nodes to perform troubleshooting.
Manage the vSphere resource pools, datastores, and networks that you use to create Hadoop and HBase
n
clusters.
Create, provision, and manage big data clusters.
n
Monitor the status of the clusters that you create, including their datastores, networks, and resource
n
pools, through the vSphere Web Client and the Serengeti Command-Line Interface.
On your Big Data clusters, run HDFS commands, Hive and Pig scripts , and MapReduce jobs, and
n
access Hive data.
If you encounter any problems when using Big Data Extensions, see Chapter 13, “Troubleshooting,” on
n
page 139.

Big Data Extensions and Project Serengeti

Big Data Extensions runs on top of Project Serengeti, the open source project initiated by VMware to automate the deployment and management of Hadoop and HBase clusters on virtual environments such as vSphere.
Big Data Extensions and Project Serengeti provide the following components.
Project Serengeti
Serengeti Management Server
An open source project initiated by VMware, Project Serengeti lets users deploy and manage big data clusters in a vCenter Server managed environment. The major components are the Serengeti Management Server, which provides cluster provisioning, software configuration, and management services; an elastic scaling framework; and command-line interface. Project Serengeti is made available under the Apache 2.0 license, under which anyone can modify and redistribute Project Serengeti according to the terms of the license.
Provides the framework and services to run Big Data clusters on vSphere. The Serengeti Management Server performs resource management, policy­based virtual machine placement, cluster provisioning, software configuration management, and environment monitoring.
10 VMware, Inc.
Chapter 1 About VMware vSphere Big Data Extensions
Serengeti Command­Line Interface Client
Big Data Extensions
The command-line interface (CLI) client provides a comprehensive set of tools and utilities with which to monitor and manage your Big Data deployment. If you are using the open source version of Serengeti without Big Data Extensions, the CLI is the only interface through which you can perform administrative tasks. For more information about the CLI, see the VMware vSphere Big Data Extensions Command-Line Interface Guide.
The commercial version of the open source Project Serengeti from VMware, Big Data Extensions, is delivered as a vCenter Server Appliance. Big Data Extensions includes all the Project Serengeti functions and the following additional features and components.
Enterprise level support from VMware.
n
Bigtop distribution from the Apache community.
n
NOTE VMware provides the Hadoop distribution as a convenience but does not provide enterprise-level support. The Apache Bigtop distribution is supported by the open source community.
The Big Data Extensions plug-in, a graphical user interface integrated
n
with vSphere Web Client. This plug-in lets you perform common Hadoop infrastructure and cluster management administrative tasks.
Elastic scaling lets you optimize cluster performance and utilization of
n
physical compute resources in a vSphere environment. Elasticity­enabled clusters start and stop virtual machines, adjusting the number of active compute nodes based on configuration settings that you specify, to optimize resource consumption. Elasticity is ideal in a mixed workload environment to ensure that workloads can efficiently share the underlying physical resources while high-priority jobs are assigned sufficient resources.
VMware, Inc. 11
CLI GUI
Rest API
VM and Application
Provisioning Framework
Software Management SPI
Default
adapter
Cloudera
adapter
Ambari
adapter
Software
Management
Thrift Service
Cloudera
Manager
Server
Ambari
Server

About Big Data Extensions Architecture

The Serengeti Management Server and Hadoop Template virtual machine work together to configure and provision big data clusters.
Figure 1‑1. Big Data Extensions Architecture
Big Data Extensions performs the following steps to deploy a big data cluster.
1 The Serengeti Management Server searches for ESXi hosts with sufficient resources to operate the
cluster based on the configuration settings that you specify, and then selects the ESXi hosts on which to place Hadoop virtual machines.
2 The Serengeti Management Server sends a request to the vCenter Server to clone and configure virtual
machines to use with the big data cluster.
3 The Serengeti Management Server configures the operating system and network parameters for the
new virtual machines.
4 Each virtual machine downloads the Hadoop software packages and installs them by applying the
distribution and installation information from the Serengeti Management Server.
5 The Serengeti Management Server configures the Hadoop parameters for the new virtual machines
based on the cluster configuration settings that you specify.
6 The Hadoop services are started on the new virtual machines, at which point you have a running
cluster based on your configuration settings.

About Application Managers

You can use Cloudera Manager, Apache Ambari, and the default application manager to provision and manage clusters with VMware vSphere Big Data Extensions.
After you add a new Cloudera Manager or Ambari application manager to Big Data Extensions, you can redirect your software management tasks, including monitoring and managing clusters, to that application manager.
12 VMware, Inc.
Chapter 1 About VMware vSphere Big Data Extensions
You can use an application manager to perform the following tasks:
List all available vendor instances, supported distributions, and configurations or roles for a specific
n
application manager and distribution.
Create clusters.
n
Monitor and manage services from the application manager console.
n
Check the documentation for your application manager for tool-specific requirements.
Restrictions
The following restrictions apply to Cloudera Manager and Ambari application managers:
To add an application manager with HTTPS, use the FQDN instead of the URL.
n
You cannot rename a cluster that was created with a Cloudera Manager or Ambari application
n
manager.
You cannot change services for a big data cluster from Big Data Extensions if the cluster was created
n
with Ambari or Cloudera Manager application manager.
To change services, configurations, or both, you must make the changes from the application manager
n
on the nodes.
If you install new services, Big Data Extensions starts and stops the new services together with old services.
If you use an application manager to change services and big data cluster configurations, those changes
n
cannot be synced from Big Data Extensions. The nodes that you create with Big Data Extensions do not contain the new services or configurations.

Services and Operations Supported by the Application Managers

If you use Cloudera Manager or Apache Ambari with Big Data Extensions, there are several additional services that are available for your use.
Supported Application Managers and Distributions
Big Data Extensions supports certain application managers and Hadoop distributions.
Table 1‑1. Supported application managers and Hadoop distributions
Supported
Application Managers Supported Version
Cloudera Manager 5.3, 5.4 CDH 5.3, 5.4 Isilon OneFS 7.1, 7.2
Apache Ambari 1.6, 1.7 HDP 2.1, 2.2, PHD 3.0 Isilon OneFS 7.1, 7.2
Default Apache Bigtop 0.8, CDH
Distributions Supported EMC Isilon OneFS
Big Data Extensions does not support the provisioning of compute-only clusters with Ambari Manager. However Ambari can provision compute-only clusters when using Isilon OneFS. Refer to the EMC Isilon Hadoop Starter Kit
for Hortonworks documentation
for information on configuring Ambari and Isilon OneFS.
Isilon OneFS 7.1, 7.2
5.2, 5.3, HDP 2.1, PHD
2.0, 2.1 MapR 4.0, 4.1
VMware, Inc. 13
Supported Features and Operations
The following features and operations are available when you use the Ambari application manager 1.6 and
1.7 (with versions HDP 2.1, 2.2, or PHD 3.0) and the Cloudera Manager application manager 5.3 and 5.4 (with versions CDH 5.3 and 5.4) on Big Data Extensions.
Create Hadoop Cluster
n
Create HBase Cluster
n
Scale Cluster In/Out
n
Cluster Delete
n
Cluster Export (can only be performed with the Serengeti CLI)
n
Cluster List
n
Cluster Resume
n
Cluster Start/Stop
n
NameNode High Availability (available only with Ambari and Cloudera Manager)
n
To use NameNode High Availability (HA) with Ambari, you must configure NameNode HA for use with your Hadoop deployment. See NameNode High Availability for Hadoop in the Hortonworks documentation.
Hadoop Topology Awareness (RACK_AS_RACK, HOST_AS_RACK or HVE)
n
vSphere Fault Tolerance
n
vSphere High Availability
n
Services supported on Cloudera Manager and Ambari
Table 1‑2. Services supported on Cloudera Manager and Ambari
Service Name Cloudera Manager 5.3, 5.4 Ambari 1.6, 1.7
Falcon X
Flume X X
Ganglia X
HBase X X
HCatalog X
HDFS X X
Hive X X
Hue X X
Impala X
MapReduce X X
Nagios X
Oozie X X
Pig X
Sentry
Solr X
Spark X
Sqoop X X
14 VMware, Inc.
Chapter 1 About VMware vSphere Big Data Extensions
Table 1‑2. Services supported on Cloudera Manager and Ambari (Continued)
Service Name Cloudera Manager 5.3, 5.4 Ambari 1.6, 1.7
Storm X
TEZ X
WebHCAT X
YARN X X
Zookeeper X X
About Service Level vSphere High Availability for Ambari
Ambari supports NameNode HA, however, you must configure NameNode HA for use with your Hadoop deployment. See NameNode High Availability for Hadoop in the Hortonworks documentation.
About Service Level vSphere High Availability for Cloudera
The Cloudera distributions offer the following support for Service Level vSphere HA.
Cloudera using MapReduce v1 provides service level vSphere HA support for JobTracker.
n
Cloudera provides its own service level HA support for NameNode through HDFS2.
n
For information about how to use an application manager with the CLI, see the VMware vSphere Big Data Extensions Command-Line Interface Guide.

Big Data Extensions Support for MapReduce Distribution Features

Big Data Extensions provides different levels of feature support depending on the distribution and version that you configure for use with the default application manager.
Support for Hadoop MapReduce v1 Distribution Features
Table 1-3 lists the supported Hadoop MapReduce v1 distributions and indicates which features are
supported when you use the distribution with the default application manager on Big Data Extensions.
Table 1‑3. Big Data Extensions Feature Support for Hadoop MapReduce v1 Distributions
Cloudera Hortonworks MapR
Version 5.3, 5.4 1.3 4.0, 4.1
Automatic Deployment Yes Yes Yes
Scale Out Yes Yes Yes
Create Cluster with Multiple Networks
Data-Compute Separation
Compute-only Yes Yes No
Elastic Scaling of Compute Nodes
Hadoop Configuration Yes Yes No
Hadoop Topology Configuration
Hadoop Virtualization Extensions (HVE)
Yes Yes No
Yes Yes Yes
Yes when using MapReduce v1
Yes Yes No
No Yes No
Yes No
VMware, Inc. 15
Table 1‑3. Big Data Extensions Feature Support for Hadoop MapReduce v1 Distributions (Continued)
Cloudera Hortonworks MapR
vSphere HA Yes Yes Yes
Service Level vSphere HA
See “About Service Level
vSphere High Availability
Yes No
for Cloudera,” on page 15
vSphere FT Yes Yes Yes
Support for Hadoop MapReduce v2 (YARN) Distribution Features
Table 1-4 lists the supported Hadoop MapReduce v2 distributions and indicates which features are
supported when you use the distribution with the default application manager on Big Data Extensions.
Table 1‑4. Big Data Extensions Feature Support for Hadoop MapReduce v2 (YARN) Distributions
Apache Bigtop Cloudera Hortonworks MapR Pivotal
Version 0.8 5.3, 5.4 2.1 4.0, 4.1 2.0, 2.1
Automatic Deployment
Scale Out Yes Yes Yes Yes Yes
Create Cluster with Multiple Networks
Data-Compute Separation
Compute-only Yes Yes Yes No Yes
Elastic Scaling of Compute Nodes
Hadoop Configuration
Hadoop Topology Configuration
Hadoop Virtualization Extensions (HVE)
vSphere HA No No No Yes No
Service Level vSphere HA
vSphere FT No No No Yes No
Yes Yes Yes Yes Yes
Yes Yes Yes No Yes
Yes Yes Yes Yes Yes
No No when using
Yes No No
MapReduce 2
Yes Yes Yes No Yes
Yes Yes Yes No Yes
Support only for HDFS
No See “About
Support only for HDFS
Support only
No Yes
for HDFS.
No No No
Service Level vSphere High Availability for Cloudera,” on
page 15
16 VMware, Inc.
Chapter 1 About VMware vSphere Big Data Extensions

Feature Support By Hadoop Distribution

Each Hadoop distribution and version provides differing feature support. Learn which Hadoop distributions support which features.
Hadoop Features
The table illustrates which Hadoop distributions support which features when you use the distributions with the default application manager on Big Data Extensions.
Table 1‑5. Hadoop Feature Support
Apache Bigtop Cloudera Hortonworks MapR Pivotal
Version 0.8 5.3, 5.4 2.1, 2.2 4.0, 4.1 2.0 , 2.1
HDFS1 No Yes No No No
HDFS2 Yes Yes Yes No Yes
MapReduce v1 No Yes No Yes No
MapReduce v2 (YARN)
Pig Yes Yes Yes Yes Yes
Hive Yes Yes Yes Yes Yes
Hive Server Yes Yes Yes Yes Yes
HBase Yes Yes Yes Yes Yes
ZooKeeper Yes Yes Yes Yes Yes
Yes Yes Yes Yes Yes
VMware, Inc. 17
18 VMware, Inc.

Installing Big Data Extensions 2

To install Big Data Extensions so that you can create and provision big data clusters, you must install the Big Data Extensions components in the order described.
What to do next
If you want to create clusters on any Hadoop distribution other than Apache Bigtop, which is included in theSerengeti Management Server, install and configure the distribution for use with Big Data Extensions.
This chapter includes the following topics:
“System Requirements for Big Data Extensions,” on page 19
n
“Unicode UTF-8 and Special Character Support,” on page 22
n
“The Customer Experience Improvement Program,” on page 23
n
“Deploy the Big Data Extensions vApp in the vSphere Web Client,” on page 24
n
“Install RPMs in the Serengeti Management Server Yum Repository,” on page 27
n
“Install the Big Data Extensions Plug-In,” on page 28
n
“Configure vCenter Single Sign-On Settings for the Serengeti Management Server,” on page 30
n
“Connect to a Serengeti Management Server,” on page 30
n
“Install the Serengeti Remote Command-Line Interface Client,” on page 31
n
“Access the Serengeti CLI By Using the Remote CLI Client,” on page 32
n

System Requirements for Big Data Extensions

Before you begin the Big Data Extensions deployment tasks, your system must meet all of the prerequisites for vSphere, clusters, networks, storage, hardware, and licensing.
Big Data Extensions requires that you install and configure vSphere and that your environment meets minimum resource requirements. Make sure that you have licenses for the VMware components of your deployment.
vSphere Requirements
VMware, Inc. 19
Before you install Big Data Extensions, set up the following VMware products.
Install vSphere 5.5 (or later) Enterprise or Enterprise Plus.
n
When you install Big Data Extensions on vSphere 5.5 or later, use
n
VMware® vCenter™ Single Sign-On to provide user authentication. When logging in to vSphere 5.5 or later you pass authentication to the vCenter Single Sign-On server, which you can configure with multiple identity sources such as Active Directory and OpenLDAP. On successful authentication, your user name and password is exchanged for a security token that is used to access vSphere components such as Big Data Extensions.
Configure all ESXi hosts to use the same Network Time Protocol (NTP)
n
server.
On each ESXi host, add the NTP server to the host configuration, and
n
from the host configuration's Startup Policy list, select Start and stop with host. The NTP daemon ensures that time-dependent processes
occur in sync across hosts.
Cluster Settings
Network Settings
Configure your cluster with the following settings.
Enable vSphere HA and VMware vSphere® Distributed Resource
n
Scheduler™.
Enable Host Monitoring.
n
Enable admission control and set the policy you want. The default
n
policy is to tolerate one host failure.
Set the virtual machine restart priority to high.
n
Set the virtual machine monitoring to virtual machine and application
n
monitoring.
Set the monitoring sensitivity to high.
n
Enable vMotion and Fault Tolerance logging.
n
All hosts in the cluster have Hardware VT enabled in the BIOS.
n
The Management Network VMkernel Port has vMotion and Fault
n
Tolerance logging enabled.
Big Data Extensions can deploy clusters on a single network or use multiple networks. The environment determines how port groups that are attached to NICs are configured and which network backs each port group.
You can use either a vSwitch or vSphere Distributed Switch (vDS) to provide the port group backing a Serengeti cluster. vDS acts as a single virtual switch across all attached hosts while a vSwitch is per-host and requires the port group to be configured manually.
When you configure your networks to use with Big Data Extensions, verify that the following ports are open as listening ports.
Ports 8080 and 8443 are used by the Big Data Extensions plug-in user
n
interface and the Serengeti Command-Line Interface Client.
Port 5480 is used by vCenter Single Sign-On for monitoring and
n
management.
Port 22 is used by SSH clients.
n
To prevent having to open a network firewall port to access Hadoop
n
services, log into the Hadoop client node, and from that node you can access your cluster.
20 VMware, Inc.
Chapter 2 Installing Big Data Extensions
To connect to the internet (for example, to create an internal yum
n
repository from which to install Hadoop distributions), you may use a proxy.
To enable communications, be sure that firewalls and web filters do not
n
block the Serengeti Management Server or other Serengeti nodes.
Direct Attached Storage
Do not use Big Data Extensions in conjunction with vSphere Storage DRS
Migrating virtual machines in vCenter Server may disrupt the virtual machine placement policy
Attach and configure direct attached storage on the physical controller to present each disk separately to the operating system. This configuration is commonly described as Just A Bunch Of Disks (JBOD). Create VMFS datastores on direct attached storage using the following disk drive recommendations.
8-12 disk drives per host. The more disk drives per host, the better the
n
performance.
1-1.5 disk drives per processor core.
n
7,200 RPM disk Serial ATA disk drives.
n
Big Data Extensions places virtual machines on hosts according to available resources, Hadoop best practices, and user defined placement policies prior to creating virtual machines. For this reason, you should not deploy Big Data Extensions on vSphere environments in combination with Storage DRS. Storage DRS continuously balances storage space usage and storage I/O load to meet application service levels in specific environments. If Storage DRS is used with Big Data Extensions, it will disrupt the placement policies of your Big Data cluster virtual machines.
Big Data Extensions places virtual machines based on available resources, Hadoop best practices, and user defined placement policies that you specify. For this reason, DRS is disabled on all the virtual machines created within the Big Data Extensions environment. While this prevents virtual machines from being automatically migrated by vSphere, it does not prevent you from inadvertently moving virtual machines using the vCenter Server user interface. This may break the Big Data Extensions defined placement policy. For example, this may disrupt the number of instances per host and group associations.
Resource Requirements
Resource pool with at least 27.5GB RAM.
n
for the vSphere
40GB or more (recommended) disk space for the management server
Management Server and Templates
Resource Requirements for the Hadoop Cluster
n
and Hadoop template virtual disks.
Datastore free space is not less than the total size needed by the Hadoop
n
cluster, plus swap disks for each Hadoop node that is equal to the memory size requested.
Network configured across all relevant ESXi hosts, and has connectivity
n
with the network in use by the management server.
vSphere HA is enabled for the master node if vSphere HA protection is
n
needed. To use vSphere HA or vSphere FT to protect the Hadoop master node, you must use shared storage.
VMware, Inc. 21
Hardware Requirements for the vSphere and Big Data Extensions Environment
Host hardware is listed in the VMware Compatibility Guide. To run at optimal performance, install your vSphere and Big Data Extensions environment on the following hardware.
Dual Quad-core CPUs or greater that have Hyper-Threading enabled. If
n
you can estimate your computing workload, consider using a more powerful CPU.
Use High Availability (HA) and dual power supplies for the master
n
node's host machine.
4-8 GBs of memory for each processor core, with 6% overhead for
n
virtualization.
Use a 1GB Ethernet interface or greater to provide adequate network
n
bandwidth.
Tested Host and Virtual Machine Support
The maximum host and virtual machine support that has been confirmed to successfully run with Big Data Extensions is 256 physical hosts running a total of 512 virtual machines.
vSphere Licensing
You must use a vSphere Enterprise license or above to use VMware vSphere HA and vSphere DRS.

Unicode UTF-8 and Special Character Support

Big Data Extensions supports internationalization (I18N) level 3. However, there are resources you specify that do not provide UTF-8 support. You can use only ASCII attribute names consisting of alphanumeric characters and underscores (_) for these resources.
Big Data Extensions Supports Unicode UTF-8
vCenter Server resources you specify using both the CLI and vSphere Web Client can be expressed with underscore (_), hyphen (-), blank spaces, and all letters and numbers from any language. For example, you can specify resources such as datastores labeled using non-English characters.
When using a Linux operating system, you should configure the system for use with UTF-8 encoding specific to your locale. For example, to use U.S. English, specify the following locale encoding: en_US.UTF-8. See your vendor's documentation for information on configuring UTF-8 encoding for your Linux environment.
Special Character Support
The following vCenter Server resources can have a period (.) in their name, letting you select them using both the CLI and vSphere Web Client.
portgroup name
n
cluster name
n
resource pool name
n
datastore name
n
The use of a period is not allowed in the Serengeti resource name.
22 VMware, Inc.
Chapter 2 Installing Big Data Extensions
Resources Excluded From Unicode UTF-8 Support
The Serengeti cluster specification file, manifest file, and topology racks-hosts mapping file do not provide UTF-8 support. When you create these files to define the nodes and resources for use by the cluster, use only ASCII attribute names consisting of alphanumeric characters and underscores (_).
The following resource names are excluded from UTF-8 support:
cluster name
n
nodeGroup name
n
node name
n
virtual machine name
n
The following attributes in the Serengeti cluster specification file are excluded from UTF-8 support:
distro name
n
role
n
cluster configuration
n
storage type
n
haFlag
n
instanceType
n
groupAssociationsType
n
The rack name in the topology racks-hosts mapping file, and the placementPolicies field of the Serengeti cluster specification file is also excluded from UTF-8 support.

The Customer Experience Improvement Program

You can configure Big Data Extensions to collect data to help improve your user experience with VMware products. The following section contains important information about the VMware Customer Experience Improvement Program.
The goal of the Customer Experience Improvement Program is to quickly identify and address problems that might be affecting your experience. If you choose to participate in the Customer Experience Improvement Program,Big Data Extensions will regularly send anonymous data to VMware. You can use this data for product development and troubleshooting purposes.
Before collecting the data, VMware makes anonymous all fields that contain information that is specific to your organization. VMware sanitizes fields by generating a hash of the actual value. When a hash value is collected, VMware cannot identify the actual value but can detect changes in the value when you change your environment.
VMware, Inc. 23
Categories of Information in Collected Data
When you choose to participate in VMware’s Customer Experience Improvement Program (CEIP), VMware will receive the following categories of data:
Configuration Data
Feature Usage Data
Performance Data
Data about how you have configured VMware products and information related to your IT environment. Examples of Configuration Data include: version information for VMware products; details of the hardware and software running in your environment; product configuration settings, and information about your networking environment. Configuration Data may include hashed versions of your device IDs and MAC and Internet Protocol Addresses.
Data about how you use VMware products and services. Examples of Feature Usage Data include: details about which product features are used; metrics of user interface activity; and details about your API calls.
Data about the performance of VMware products and services. Examples of Performance Data include metrics of the performance and scale of VMware products and services; response times for User Interfaces, and details about your API calls.
Enabling and Disabling Data Collection
By default, enrollment in the Customer Experience Improvement Program is enabled during installation. You have the option of disabling this service during installation. You can discontinue participation in the Customer Experience Improvement Program at any time, and stop sending data to VMware. See“Disable
the Big Data Extensions Data Collector,” on page 124.
If you have any questions or concerns regarding the Customer Experience Improvement Program for Log Insight, contact bde-info@vmware.com.

Deploy the Big Data Extensions vApp in the vSphere Web Client

Deploying the Big Data Extensions vApp is the first step in getting your cluster up and running with Big Data Extensions.
Prerequisites
Install and configure vSphere.
n
Configure all ESXi hosts to use the same NTP server.
n
On each ESXi host, add the NTP server to the host configuration, and from the host configuration's
n
Startup Policy list, select Start and stop with host. The NTP daemon ensures that time-dependent processes occur in sync across hosts.
When installing Big Data Extensions on vSphere 5.1 or later, use vCenter Single Sign-On to provide
n
user authentication.
Verify that you have one vSphere Enterprise license for each host on which you deploy virtual Hadoop
n
nodes. You manage your vSphere licenses in the vSphere Web Client or in vCenter Server.
Install the Client Integration plug-in for the vSphere Web Client. This plug-in enables OVF deployment
n
on your local file system.
NOTE Depending on the security settings of your browser, you might have to approve the plug-in when you use it the first time.
24 VMware, Inc.
Chapter 2 Installing Big Data Extensions
Download the Big Data Extensions OVA from the VMware download site.
n
Verify that you have at least 40GB disk space available for the OVA. You need additional resources for
n
the Hadoop cluster.
Ensure that you know the vCenter Single Sign-On Look-up Service URL for your
n
vCenter Single Sign-On service.
If you are installing Big Data Extensions on vSphere 5.1 or later, ensure that your environment includes vCenter Single Sign-On. Use vCenter Single Sign-On to provide user authentication on vSphere 5.1 or later.
Review the Customer Experience Improvement Program description, and determine if you wish to
n
collect data and send it to VMware help improve your user experience using Big Data Extensions. See
“The Customer Experience Improvement Program,” on page 23.
Procedure
1 In the vSphere Web Client vCenter Hosts and Clusters view, select Actions > All vCenter Actions >
Deploy OVF Template.
2 Choose the location where the Big Data Extensions OVA resides and click Next.
Option Description
Deploy from File
Deploy from URL
Browse your file system for an OVF or OVA template.
Type a URL to an OVF or OVA template located on the internet. For example: http://vmware.com/VMTN/appliance.ovf.
3 View the OVF Template Details page and click Next.
4 Accept the license agreement and click Next.
5 Specify a name for the vApp, select a target datacenter for the OVA, and click Next.
The only valid characters for Big Data Extensions vApp names are alphanumeric and underscores. The vApp name must be < 60 characters. When you choose the vApp name, also consider how you will name your clusters. Together the vApp and cluster names must be < 80 characters.
6 Select a vSphere resource pool for the OVA and click Next.
Select a top-level resource pool. Child resource pools are not supported by Big Data Extensions even though you can select a child resource pool. If you select a child resource pool, you will not be able to create clusters from Big Data Extensions.
7 Select shared storage for the OVA and click Next.
If shared storage is not available, local storage is acceptable.
8 For each network specified in the OVF template, select a network in the Destination Networks column
in your infrastructure to set up the network mapping.
The first network lets the Management Server communicate with your Hadoop cluster. The second network lets the Management Server communicate with vCenter Server. If your vCenter Server deployment does not use IPv6, you can specify the same IPv4 destination network for use by both source networks.
VMware, Inc. 25
9 Configure the network settings for your environment, and click Next.
a Enter the network settings that let the Management Server communicate with your Hadoop
cluster.
Use a static IPv4 (IP) network. An IPv4 address is four numbers separated by dots as in aaa.bbb.ccc.ddd, where each number ranges from 0 to 255. You must enter a netmask, such as
255.255.255.0, and a gateway address, such as 192.168.1.253.
If the vCenter Server or any ESXi host or Hadoop distribution repository is resolved using a fully qualified domain name (FQDN), you must enter a DNS address. Enter the DNS server IP address as DNS Server 1. If there is a secondary DNS server, enter its IP address as DNS Server 2.
NOTE You cannot use a shared IP pool with Big Data Extensions.
b (Optional) If you are using IPv6 between the Management Server and vCenter Server, select the
Enable Ipv6 Connection checkbox.
Enter the IPv6 address, or FQDN, of the vCenter Server. The IPv6 address size is 128 bits. The preferred IPv6 address representation is: xxxx:xxxx:xxxx:xxxx:xxxx:xxxx:xxxx:xxxx where each x is a hexadecimal digit representing 4 bits. IPv6 addresses range from 0000:0000:0000:0000:0000:0000:0000:0000 to ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff. For convenience, an IPv6 address may be abbreviated to shorter notations by application of the following rules.
Remove one or more leading zeroes from any groups of hexadecimal digits. This is usually
n
done to either all or none of the leading zeroes. For example, the group 0042 is converted to 42.
Replace consecutive sections of zeroes with a double colon (::). You may only use the double
n
colon once in an address, as multiple uses would render the address indeterminate. RFC 5952 recommends that a double colon not be used to denote an omitted single section of zeroes.
The following example demonstrates applying these rules to the address
2001:0db8:0000:0000:0000:ff00:0042:8329.
Removing all leading zeroes results in the address 2001:db8:0:0:0:ff00:42:8329.
n
Omitting consecutive sections of zeroes results in the address 2001:db8::ff00:42:8329.
n
See RFC 4291 for more information on IPv6 address notation.
10 Verify that the Initialize Resources check box is selected and click Next.
If the check box is unselected, the resource pool, data store, and network connection assigned to the vApp will not be added to Big Data Extensions.
If you do not add the resource pool, datastore, and network when you deploy the vApp, use the vSphere Web Client or the Serengeti CLI Client to specify the resource pool, datastore, and network information before you create a Hadoop cluster.
11 Run the vCenter Single Sign-On Lookup Service URL to enable vCenter Single Sign-On.
If you use vCenter 5.x, use the following URL: https://FQDN_or_IP_of_SSO_SERVER:
n
7444/lookupservice/sdk
If you use vCenter 6.0, use the following URL: https://FQDN_of_SSO_SERVER:
n
443/lookupservice/sdk
If you don't input the URL, vCenter Single Sign-On is disabled.
12 To disable the Big Data Extensions data collector, uncheck the Customer Experience Improvement
Program checkbox.
26 VMware, Inc.
Chapter 2 Installing Big Data Extensions
13 (Optional) To disable the Big Data Extensions Web plug-in from automatically registering, uncheck the
enable checkbox.
By default the checkbox to enable automatic registration of the Big Data Extensions Web plug-in is selected. When you first login to the Big Data Extensions Web client, it automatically connects to the Serengeti management server.
14 Specify a remote syslog server, such as VMware vRealize Log Insight, to which Big Data Extensions can
send logging information to across the network.
Retention, rotation and the splitting of logs received and managed by a syslog server are controlled by that syslog server. Big Data Extensions cannot configure or control log management on a remote syslog server. For more information on log management, see the documentation for the syslog server.
Regardless of the additional syslog configuration specified with this option, logs continue to be placed in the default locations of the Big Data Extensions environment.
15 Verify the vService bindings and click Next.
16 Verify the installation information and click Finish.
vCenter Server deploys the Big Data Extensions vApp. When deployment finishes, two virtual machines are available in the vApp.
The Management Server virtual machine, management-server (also called the
n
Serengeti Management Server), which is started as part of the OVA deployment.
The Hadoop Template virtual machine, hadoop-template, which is not started. Big Data Extensions
n
clones Hadoop nodes from this template when provisioning a cluster. Do not start or stop this virtual machine without good reason. The template does not include a Hadoop distribution.
IMPORTANT Do not delete any files under the /opt/serengeti/.chef directory. If you delete any of these files, such as the serengeti.pem file, subsequent upgrades to Big Data Extensions might fail without displaying error notifications.
What to do next
Install the Big Data Extensions plug-in within the vSphere Web Client. See “Install the Big Data Extensions
Plug-In,” on page 28.
If the Initialize Resources check box is not selected, add resources to the Big Data Extensions server before you create a Hadoop cluster.

Install RPMs in the Serengeti Management Server Yum Repository

Install the wsdl4j and mailx Red Hat Package Manager (RPM) packages within the internal Yum repository of the Serengeti Management Server.
The wsdl4j and mailx RPM packages are not embedded within big Data Extension due to licensing agreements. For this reason you must install them within the internal Yum repository of the Serengeti Management Server.
Prerequisites
Deploy the Big Data Extensions vApp.
Procedure
1 Open a command shell, such as Bash or PuTTY, and log in to the Serengeti Management Server as the
user serengeti.
VMware, Inc. 27
2 Download and install the wsdl4j and mailx RPM packages.
If the Serengeti Management Server can connect to the Internet, run the commands as shown in the
n
example below to download the RPMs, copy the files to the required directory, and create a repository.
cd /opt/serengeti/www/yum/repos/centos/6/base/RPMS/ wget http://mirror.centos.org/centos/6/os/x86_64/Packages/mailx-12.4-7.el6.x86_64.rpm wget http://mirror.centos.org/centos/6/os/x86_64/Packages/wsdl4j-1.5.2-7.8.el6.noarch.rpm createrepo ..
If the Serengeti Management Server cannot connect to the Internet, you must run the following
n
tasks manually.
a Download the RPM files as shown in the example below.
http://mirror.centos.org/centos/6/os/x86_64/Packages/mailx-12.4-7.el6.x86_64.rpm http://mirror.centos.org/centos/6/os/x86_64/Packages/wsdl4j-1.5.2-7.8.el6.noarch.rpm
b Copy the RPM files to /opt/serengeti/www/yum/repos/centos/6/base/RPMS/.
c Run the createrepo command to create a repository from the RPMs you downloaded.
createrepo /opt/serengeti/www/yum/repos/centos/6/base/

Install the Big Data Extensions Plug-In

To enable the Big Data Extensions user interface for use with a vCenter Server Web Client, register the plug­in with the vSphere Web Client. The Big Data Extensions graphical user interface is supported only when you use vSphere Web Client 5.1 and later.
The Big Data Extensions plug-in provides a GUI that integrates with the vSphere Web Client. Using the Big Data Extensions plug-in interface you can perform common Hadoop infrastructure and cluster management tasks.
NOTE Use only the Big Data Extensions plug-in interface in the vSphere Web Client or the Serengeti CLI Client to monitor and manage your Big Data Extensions environment. Performing management operations in vCenter Server might cause the Big Data Extensions management tools to become unsynchronized and unable to accurately report the operational status of your Big Data Extensions environment.
Prerequisites
Deploy the Big Data Extensions vApp. See “Deploy the Big Data Extensions vApp in the vSphere Web
n
Client,” on page 24.
By default, the Big Data Extensions Web plug-in automatically installs and registers when you deploy
n
the Big Data Extensions vApp. To install the Big Data Extensions Web plug-in after deploying the Big Data Extensions vApp, you must has opted not to enable automatic registration of the Web plug-in during deployment. See “Deploy the Big Data Extensions vApp in the vSphere Web Client,” on page 24.
Ensure that you have login credentials with administrator privileges for the vCenter Server system with
n
which you are registering Big Data Extensions.
NOTE The user name and password you use to login cannot contain characters whose UTF-8 encoding is greater than 0x8000.
If you want to use the vCenter Server IP address to access the vSphere Web Client, and your browser
n
uses a proxy, add the vCenter Server IP address to the list of proxy exceptions.
28 VMware, Inc.
Chapter 2 Installing Big Data Extensions
Procedure
1 Open a Web browser and go to the URL of vSphere Web Client 5.1 or later.
https://hostname-or-ip-address:port/vsphere-client
The hostname-or-ip-address can be either the DNS hostname or IP address of vCenter Server. By default the port is 9443, but this might have changed during installation of the vSphere Web Client.
2 Enter the user name and password with administrative privileges that has permissions on
vCenter Server, and click Login.
3 Using the vSphere Web Client Navigator pane, locate the ZIP file on the Serengeti Management Server
that contains the Big Data Extensions plug-in to register to the vCenter Server.
You can find the Serengeti Management Server under the datacenter and resource pool to which you deployed it.
4 From the inventory tree, select management-server to display information about the
Serengeti Management Server in the center pane.
Click the Summary tab in the center pane to access additional information.
5 Note the IP address of the Serengeti Management Server virtual machine.
6 Open a Web browser and go to the URL of the management-server virtual machine.
https://management-server-ip-address:8443/register-plugin
The management-server-ip-address is the IP address you noted in Step 5.
7 Enter the information to register the plug-in.
Option Action
Register or Unregister
vCenter Server host name or IP address
User Name and Password
Big Data Extensions Package URL
Click Install to install the plug-in. Select Uninstall to uninstall the plug-in.
Enter the server host name or IP address of vCenter Server. Do not include http:// or https:// when you enter the host name or IP
address.
Enter the user name and password with administrative privileges that you use to connect to vCenter Server. The user name and password cannot contain characters whose UTF-8 encoding is greater than 0x8000.
Enter the URL with the IP address of the management-server virtual machine where the Big Data Extensions plug-in package is located:
https://management-server-ip-address/vcplugin/serengeti­plugin.zip
8 Click Submit.
The Big Data Extensions plug-in registers with vCenter Server and with the vSphere Web Client.
9 Log out of the vSphere Web Client, and log back in using your vCenter Server user name and
password.
The Big Data Extensions icon appears in the list of objects in the inventory.
10 Click Big Data Extensions in the Inventory pane.
What to do next
Connect the Big Data Extensions plug-in to the Big Data Extensions instance that you want to manage by connecting to the corresponding Serengeti Management Server. See “Connect to a Serengeti Management
Server,” on page 30.
VMware, Inc. 29

Configure vCenter Single Sign-On Settings for the Serengeti Management Server

If the Big Data Extensions Single Sign-On (SSO) authentication settings are not configured or if they change after you install the Big Data Extensions plug-in, you can use the Serengeti Management Server Administration Portal to enable SSO, update the certificate, and register the plug-in so that you can connect to the Serengeti Management Server and continue managing clusters.
The SSL certificate for the Big Data Extensions plug-in can change for many reasons. For example, you install a custom certificate or replace an expired certificate.
Prerequisites
Ensure that you know the IP address of the Serengeti Management Server to which you want to
n
connect.
Ensure that you have login credentials for the Serengeti Management Server root user.
n
Procedure
1 Open a Web browser and go the URL of the Serengeti Management Server Administration Portal.
https://management-server-ip-address:5480
2 Type root for the user name, type the password, and click Login.
3 Select the SSO tab.
4 Do one of the following.
Option Description
Update the certificate
Enable SSO for the first time
The Big Data Extensions and vCenter SSO server certificates are synchronized.
What to do next
Reregister the Big Data Extensions plug-in with the Serengeti Management Server. See “Connect to a
Serengeti Management Server,” on page 30.
Click Update Certificate.
Type the Lookup Service URL, and click Enable SSO.

Connect to a Serengeti Management Server

To use the Big Data Extensions plug-in to manage and monitor big data clusters and Hadoop distributions, you must connect the Big Data Extensions plug-in to the Serengeti Management Server in your Big Data Extensions deployment.
You can deploy multiple instances of the Serengeti Management Server in your environment. However, you can connect the Big Data Extensions plug-in with only one Serengeti Management Server instance at a time. You can change which Serengeti Management Server instance the plug-in connects to, and use the Big Data Extensions plug-in interface to manage and monitor multiple Hadoop and HBase distributions deployed in your environment.
IMPORTANT The Serengeti Management Server that you connect to is shared by all users of the Big Data Extensions plug-in interface in the vSphere Web Client. If a user connects to a different Serengeti Management Server, all other users are affected by this change.
30 VMware, Inc.
Loading...
+ 138 hidden pages
Buy Points How it Works FAQ Contact Us Questions and Suggestions Privacy Policy Cookie Policy Terms of Use