SGI® Hadoop® Based on Intel® Xeon® Processor 5600 Series

SGI® Hadoop® Based on Intel® Xeon®
Processor 5600 Series
007-5827-001
COPYRIGHT
© 2012 Silicon Graphics International Corp. All rights reserved; provided portions may be copyright in third parties, as indicated elsewhere herein. No
permission is granted to copy, distribute, or create derivative works from the contents of this electronic documentation in any manner, in whole or in part,
without the prior written permission of SGI.
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TRADEMARKS AND ATTRIBUTIONS
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Record of Revision
007-5827-001
Version
Description
001
February 2012
Initial printing.
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Contents
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About This Guide .
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Product Support .
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Node Level .
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Rack Level for Rack 1 in Multi-Rack Configuration .
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Rack Level for Rack 2 (And Beyond) in Multi-Rack Configuration .
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Cluster Startup .
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Accepting End-User License Agreements (EULAs)
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Software .
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Configuring and Starting SGI Management Center .
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Starting the Cluster for the First Time .
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Re-Imaging the Server Nodes
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Business Intelligence Applications Startup
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Datameer .
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Starting the Application .
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Starting the Application .
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Using the Demo .
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007-5827-001
.
About This Guide
This guide provides an overview of the SGI® Hadoop® Reference Implementation based on the
Intel® Xeon® processor 5600 series along with getting-started instructions for this implementation.
This guide consists of the following chapters:
•
Chapter 1, “Overview,” provides an overview of the SGI Hadoop solution.
•
Chapter 2, “Cluster Startup,” describes licensing and Hadoop specifics for configuring
cluster management and monitoring.
•
Chapter 3, “Business Intelligence Applications Startup,” describes how to start up the trial
packages of the business intelligence (BI) applications bundled in the solution.
Audience
This guide is written for the system administrators of the Hadoop cluster and developers. The
guide assumes the reader is familiar with clusters, the Hadoop technology, and business
intelligence applications.
007-5827-001
vii
About This Guide
Related Publications
The following SGI documents are relevant to your Hadoop solution:
•
SGI Management Center Quick Start Guide (007-5672-xxx)
•
SGI Management Center (SMC) Installation and Configuration (007-5643-xxx)
•
SGI Management Center (SMC) System Administrator’s Guide (007-5642-xxx)
•
SGI Rackable C2005 Server Family User’s Guide (007-5717-xxx)
You can obtain SGI documentation, release notes, and man pages in the following ways:
•
Refer to the SGI Technical Publications Library at http://docs.sgi.com. Various formats are
available. This library contains the most recent and most comprehensive set of online books,
release notes, man pages, and other information.
•
Refer to the SGI Supportfolio™ webpage for documents whose access require a support
contract. See “Product Support” on page ix.
•
You can also view man pages by typing man <title> on a command line.
Note: For information about third-party system components, see the documentation provided by
the manufacturer/supplier.
viii
007-5827-001
About This Guide
Product Support
SGI provides a comprehensive product support and maintenance program for its products. SGI
also offers services to implement and integrate Linux applications in your environment.
•
Refer to http://www.sgi.com/support/
•
If you are in North America, contact the Technical Assistance Center at
+1 800 800 4SGI or contact your authorized service provider.
•
If you are outside North America, contact the SGI subsidiary or authorized distributor in
your country.
Be sure to have the following information before you call Technical Support:
007-5827-001
•
Product serial number
•
Product model name and number
•
Applicable error messages
•
Add-on boards or hardware
•
Third-party hardware or software
•
Operating system type and revision level
ix
About This Guide
Reader Comments
If you have comments about the technical accuracy, content, or organization of this document,
contact SGI. Be sure to include the title and document number of the manual with your comments.
(Online, the document number is located in the front matter of the manual. In printed manuals, the
document number is located at the bottom of each page.)
You can contact SGI in any of the following ways:
•
Send e-mail to the following address: techpubs@sgi.com
•
Contact your customer service representative and ask that an incident be filed in the SGI
incident tracking system.
•
Send mail to the following address:
SGI
Technical Publications
46600 Landing Parkway
Fremont, CA 94538
SGI values your comments and will respond to them promptly.
x
007-5827-001
Chapter 1
1. Overview
Applications
Business Intelligence
Hadoop BI Reference
Implementation
Financials (Risk
Federal & Defense
Social Media (Click
analysis, detecting
(Fraud detection,
Stream Analytics, User
frauds in credit
predictive
search patterns,
transactions/insurance demographics, security
Behavioral analysis)
claims
analysis)
Telecom
(Customer trend
analysis, network
usage patterns, fraud
detection)
Datameer
Kitenga
Quantum4D
Pentaho
Import, Analytics,
Dashboard, Export
Content Search,
Analytics
Visual Insight, Data
Modeling,
Interactive BI
Import, Analytics,
BI, Dashboard,
Mining, Export
Cloudera Distribution including Apache Hadoop
SGI Rackable Clustering System (HW + SW)
Figure 1-1
SGI Hadoop Business Intelligence Ecosystem
The SGI Hadoop Reference Implementation provides a pre-defined and pre-certified Hadoop
solution with these features:
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•
Pre-defined and pre-certified configurations
•
High performance
•
Power optimization
•
Trial packages of business intelligence (BI) applications (See Figure 1-1.)
1
1: Overview
This overview describes the following components:
•
“Hardware” on page 2
•
“Configurations” on page 4
•
“Network Topology” on page 8
•
“Software” on page 14
Hardware
This section describes the hardware used in the SGI Hadoop Reference Implementation: first, the
servers and then the network hardware.
Servers
Figure 1-2
An SGI Rackable C2005 Server
The SGI Hadoop Cluster employs the SGI Rackable™ C2005 family of half-depth servers, shown
in Figure 1-2. Table 1-1 shows the servers that are used, their function in the cluster, and their
specifications.
2
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Hardware
Table 1-1
SGI Hadoop Servers
Conventional
SGI Server Node Type
Hadoop
Node Type
C2005-TY7
Master nodes
NameNode,
Secondary
NameNode,
JobTracker
– 2x Intel® Xeon® Processor E5645 (2.4 GHz)
– 6x 8GB 1.35v 1333MHz DIMMs (48GB memory)
– 4x 3.5” 1TB 7200 rpm SATA 6Gb/s drives in
RAID configuration
– 1x Dual-port 10GbE NIC (copper optical cables)
– Redundant power supply, 650W
C2005-TY6
Compute/Slave
nodes
DataNodes,
TaskTrackers
– 2x Intel Xeon Processor E5645 (2.4 GHz)
– 6x 8GB 1.35v 1333MHz DIMMs (48GB memory)
– 10x 2.5” 1TB 7200 rpm SATA 6Gb/s drives
Specifications
– 1x Dual-port 1GbE NIC (cat 6)
– PMBUS for power monitoring
C2005-TY7
Application
Node
– 2x Intel Xeon Processor X5675 (3.06 GHz)
– 12x 8GB 1.35v 1333MHz DIMMs (96GB
memory)
– 4x 3.5” 1TB 7200 rpm SAS 6Gb/s drives in RAID
configuration
– 1x Dual-port 10GbE NIC (copper optical cables)
– Redundant power supply, 650W
Network Hardware
The network hardware consists of the following two components:
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•
2 LG-Ericsson ES-4550G 48-port GigE switches per rack
•
1 LG-Ericsson ES-5048XG 10-GigE spine switch
3
1: Overview
Configurations
10GigE
1 Rack:
320 TB raw
capacity
Import, Export,
Search, Mine,
Predict & Visualize
data for Business
Intelligence
1/2 Rack:
160 TB raw
capacity
Multi-Rack:
Petabytes
useable
capacity
Figure 1-3
Data Capacity for Various Rack Configurations
The SGI Hadoop Cluster is available in single-rack and multi-rack configurations. Figure 1-3
shows the range of data capacity for the configurations. This section describes the half-rack,
full-rack, and multi-rack configurations.
4
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Configurations
Half-Rack
Figure 1-4
Half-Rack Configuration
Figure 1-4 describes the configuration of a half-rack configuration. The rack consists of the
following:
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•
1 SGI Management Center node/Secondary NameNode
•
1 NameNode
•
1 JobTracker
•
1 Application node
•
16 DataNodes/TaskTracker nodes
•
2 48-port GigE stacked Hadoop data network switches
•
1 SGI Management Center network switch
5
1: Overview
Full-Rack (42U)
Figure 1-5
Full-Rack Configuration
Figure 1-5 describes the configuration of a full-rack configuration. The rack consists of the
following:
6
•
1 SGI Management Center node/Secondary NameNode
•
1 NameNode
•
1 JobTracker
•
1 Application node
•
32 DataNodes/TaskTracker nodes
•
2 48-port GigE stacked Hadoop data network switches
•
1 SGI Management Center network switch
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Configurations
Multi-Rack (Second Rack And Beyond)
Figure 1-6
Multi-Rack—Second Rack And Beyond
Figure 1-6 describes the configuration of the second rack (and subsequent racks) of a multi-rack
configuration. Each rack consists of the following:
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•
32 DataNodes/TaskTracker nodes
•
2 48-port GigE stacked Hadoop data network switches
•
1 SGI Management Center network switch
7
1: Overview
Network Topology
As described in Table 1-2, the network topology of the SGI Hadoop Cluster depends on its rack
configuration.
Table 1-2
Network Topology
Rack Configuration
Network Topology
Single-rack
The Master node servers are attached to the top-of-rack switches directly
via 10-Gigabit Ethernet.
Multi-rack
A 10-Gigabit Ethernet aggregate spine switch is introduced into the
networking topology. The Master node servers are attached to this spine
switch directly.
This section illustrates the network topology from the most granular level (node level) to the top
level (inter-rack level):
8
•
“Node Level” on page 9
•
“Rack Level for Single-Rack Configuration” on page 10
•
“Rack Level for Rack 1 in Multi-Rack Configuration” on page 11
•
“Rack Level for Rack 2 (And Beyond) in Multi-Rack Configuration” on page 12
•
“Inter-Rack Level” on page 13
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Network Topology
Node Level
Hadoop data network
switch
Management switch
ETH4 (10GigE)
ETH3 (10GigE)
ETH0
ETH0
Management switch
Bond0 (Bonding)
Hadoop Master NODE (Multi rack)
C2005-TY6 with dual port 10 GigE card
ETH3 (10GigE)
Hadoop Master NODE (Single rack)
C2005-TY6 with dual port 10 GigE card
Hadoop Spine network
switch
Plugged into 10GigE Uplink
port
1 Gigabit Ethernet
1 Gigabit Ethernet with 2
Port 10 GigE Uplinks
1 Gigabit Ethernet
10 Gigabit Ethernet
ETH3
ETH2
Bond0 (Bonding)
ETH1
ETH0
Hadoop SLAVE NODE
C2005-TY6 with dual port GigE card
Management switch
Hadoop data network
switch
Figure 1-7
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Network Topology—Node Level
9
1: Overview
Rack Level for Single-Rack Configuration
Figure 1-8
10
Network Topology—Rack Level for Single Rack
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Network Topology
Rack Level for Rack 1 in Multi-Rack Configuration
Top of Rack Switches
SIDE A
Figure 1-9
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SIDE B
Network Topology—Rack Level for Rack 1 of Multi-Rack
11
1: Overview
Rack Level for Rack 2 (And Beyond) in Multi-Rack Configuration
Top of Rack Switches
SIDE A
Figure 1-10
12
SIDE B
Network Topology—Rack Level for Rack 2 (And Beyond) of Multi-Rack
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Network Topology
Inter-Rack Level
Figure 1-11
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Network Topology—Inter-Rack Level
13
1: Overview
Software
The software stack for the SGI Hadoop solution consists of the following components:
•
Red Hat® Enterprise Linux (RHEL) 6 .1 (2.6.32-131.0.15.el6.x86_64)
•
Cloudera™ distribution Apache Hadoop 3 update 1 (Hadoop 0.20.2-cdh3u1)
•
SGI Management Center 1.5.0
•
An ecosystem of business intelligence applications software from ISVs like Kitenga®,
Datameer™, Pentaho® and Quantum 4D® (See Figure 1-1 on page 1and Figure 1-12.)
Figure 1-12 shows the software distribution on the various Hadoop servers.
Figure 1-12
14
SGI Hadoop Software Stack
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Chapter 2
2. Cluster Startup
This chapter describes the broad steps for starting the SGI Hadoop cluster:
•
“Accepting End-User License Agreements (EULAs)” on page 15
•
“Configuring and Starting SGI Management Center” on page 16
•
“Starting the Cluster for the First Time” on page 16
•
“Re-Imaging the Server Nodes” on page 17
Accepting End-User License Agreements (EULAs)
The SGI Hadoop solution contains third-party software whose end-user license agreements you
must read and accept. Two such products are described in this section. The trial versions of the
business intelligence applications also require licensing agreements. Chapter 3, “Business
Intelligence Applications Startup,”describes these requirements.
Java® Distribution Kit (JDK)
The Java Distribution Kit copyright and third-party license agreement can be found in directory
/usr/share/doc/java-1.6.0-sun-devel-1.6.0.25 on any of the cluster nodes.
Read and accept the conditions.
Adobe® Flash®
Some of the application features will require Adobe Flash plugin installed for the browser to work
correctly. Specifically, the Kitenga administration console and the Datameer Analytics Server
administration console will require this. For your convenience, a licensed Adobe Flash plugin
RPM has been installed on the head and application nodes. Before using theAdobe Flash plugin,
read and accept the end-user license agreement which is located in
/usr/share/doc/flash-plugin-11.1.102.55/readme.txt.
007-5827-001
15
2: Cluster Startup
Configuring and Starting SGI Management Center
To configure and start the SGI Managment Center to monitor the SGI Hadoop cluster, you will
need to follow the instructions in the SGI Management Center Quick Start Guide and
appropriately configure the Hadoop servers described in Table 2-1.
Table 2-1
Hostnames for SGI Hadoop Servers
Daemon
Hostname
Hadoop Data Network
Hostname
NameNode
sgi-nn
sgi-nn-10ge
Secondary NameNode
sgi-snn
sgi-snn-10ge
JobTracker
sgi-jt
sgi-jt-10ge
Application Node
sgi-app
sgi-app-10ge
DataNodes & TaskTrackers
r[rack#]n[node#]
r[rack#]n[node#]-ge
Starting the Cluster for the First Time
Use the following steps to start the SGI Hadoop cluster the first time.
1.
Power on the head node of the cluster.
2. Use SGI Management Center to start the nodes in the cluster.
a.
Log in as root.
b.
Start the SGI Management Center with the following command:
# mgrclient
c.
Within the Management GUI, select the nodes to start, right-click, and select
Power > On.
d.
Start the nodes in the following order:
i. sgi-app
ii. sgi-nn
iii. sgi-jt
iv. Compute/Slave nodes in the Compute group
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Re-Imaging the Server Nodes
Hadoop is configured to start once the servers have booted.
3. Use the web browser on the head node to log into the Hadoop web interfaces:
•
NameNode: http://sgi-nn-10ge:50070
•
Secondary NameNode: http://sgi-snn-10ge:50090
•
JobTracker: http://sgi-jt-10ge:50030
4. Verify that the cluster powered on correctly and that all slave nodes joined the Hadoop
cluster.
Run the following command to verify the number of DataNodes match the expected slave
node count:
# sudo -u hdfs hapoop dfsadmin -report
Re-Imaging the Server Nodes
In SGI Management Center, there are compute images for each node type. Table 2-2 shows the
mapping. Re-provision the nodes with the compute images as needed.
Table 2-2
Compute Images for SGI Hadoop Servers
Node Name
Image Name
sgi-nn
Compute-Hadoop-Namenode
sgi-jt
Compute-Hadoop-Jobtracker
sgi-app
Compute-Hadoop-App
r[rack#]n[node#]
Compute-Hadoop-Slave
To provision a node, do the following:
1.
Select the appropriate node.
2. Right-click.
3. Select Provision > compute-image-for-node.
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17
Chapter 3
3. Business Intelligence Applications Startup
This chapter describes the startup of the following business intelligence (BI) applications:
•
“Datameer” on page 20
•
“Kitenga” on page 22
•
“Quantum4D” on page 23
A trial version of each application has been packaged with the SGI Hadoop solution. You must
procure a 30-day trial license from the respective independent software vendor.
Note: The BI applications reside on server sgi-app, the application node.
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3: Business Intelligence Applications Startup
Datameer
A trial version of Datameer Analytics Solution (DAS) version 1.3.5 is installed under
/home/hdfs/datameer.
Starting the Application
Use the following steps.
1.
Log in as user hdfs on the application server node (sgi-app).
2. Change the directory location to datameer/das-1.3.5-cdh3u1/.
3. Start DAS as follows:
./bin/conductor.sh start
The Datameer console runs on port 8081. It can be accessed via Firefox®, Internet Explorer®,
or Safari® at http://sgi-app:8081. (Note that an Adobe Flash plug-in is required.)
4. Upon the first login, you must obtain a trial license from Datameer.
A pop-up window will guide you through the activation process. If you experience any
problems during activation, please contact license@datameer.com for a license file,
which can be downloaded and installed via your browser.
5. Once a valid license key has been installed, log in to the application using the following
credentials:
User: admin
Password: admin
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Datameer
Using the Demo
Once logged in, you will have full use of DAS for 30 days, which includes the pre-built demo
described below. A Flash video walkthrough of the demo is available under directory
/home/hdfs/datameer/flash-demo. The demo includes AMEX stock data that is loaded into
Hadoop via SFTP, analyzed via spreadsheets, and visualized in dashboards. The solution
demonstrates and end-to-end data processing pipeline for BI applications, implemented natively
on Hadoop. The demo consists of the following features:
Table 3-1
DAS Demo Features
Feature
Description
importAMEXFromlocalFS
This is an import job found under the Data tab and will import data to
Hadoop from a remote server via SFTP (in this case from the local file
system). This job should be executed as the first job as soon as you log
in the first time.
importAMEXHDFS
This is another import job also found under the data tab that will import
the same data from Hadoop HDFS and make it accessible to the
workbook. You can choose to run this job instead of
importAMEXFromlocalFS.
AMEXDataWorkbook
This workbook demonstrates Hadoop-based analytics for business users
and creates two distinct worksheets that analyze the imported data. This
job can be found under the Analytics tab.
PELDashboard
This is a dashboard job that creates graphs out of subsets of summarized
data in the spreadsheets of the AMEXDataWorkbook.
PELDashboard2
This is another dashboard job that shows a different set of graphs using
the same subset of data as in the AMEXDataWorkbook spreadsheets.
For more information, see the following chart.
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Item
Resource for Help
DAS features
URL http://datameer.com/documentation
Problems
Email alias support@datameer.com
Datameer products
URL www.datameer.com
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Kitenga
A trial version of Zettavox 1.5, the business analytics software from Kitenga is installed under
/home/hdfs/kitenga. A trial license will be required to run the software, which needs to be
obtained from www.kitenga.com.
Starting the Application
Use the following steps.
1.
Log in as user hdfs on the application server (sgi-app).
2. Change directory location to /home/hdfs/kitenga/zettavox-1.5.0-cdh3/.
3. Start Zettavox as follows:
./bin/zettavox.sh start
4. After Zettavox is started for the first time, execute the configure script:
./bin/configure.sh
This script is required to load the Zettavox demo data to user hdfs. Execute this script only
once.
5. To get to the console, use the following URL in a browser that supports Flash:
http://sgi-app:9100
The Zettavox console runs on port 9100.
6. Once you have a license, log in with the following credentials:
User: admin
Password: zettavox
The first time you log in you may see an expired or an invalid license. You will need to visit
www.kitenga.com to get a valid trial license.
Using the Demo
After login, you should be able to run the demo software. A Flash version of the demo software is
available under directory /home/hdfs/kitenga/flash-demo. The ZettaVox
documentation is available in the doc subdirectory.
Quantum4D
Quantum4D
Quantum4D provides powerful data visualization software that works together with Kitenga’s
Zettavox. Quantum4D must be downloaded from www.quantum4d.com. A few Adobe Flash
demos of Quantum4D are provided in the directory kitenga/Quantum4d/flash-demo.
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