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<h3 class="title-container">Installation Overview</h3>
<div class="content">
<!-- Python script replaces main content -->
<div id ="main"><div style="visibility:hidden; height:2px;">Pivotal Product Documentation : Installation Overview</div><div class="wiki-content group" id="main-content">
<p style="margin-left: 0.0px;">This section provides an overview of the Pivotal HD installation process, along with some recommended best practices.</p><p style="margin-left: 0.0px;"><style type="text/css">/*<![CDATA[*/
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<ul class="toc-indentation">
<li><a href="#InstallationOverview-CommandLineInstallationFeatures">Command Line Installation Features</a></li>
<li><a href="#InstallationOverview-DeploymentOptions">Deployment Options</a></li>
<li><a href="#InstallationOverview-PlanningyourPivotalHDClusterDeployment">Planning your Pivotal HD Cluster Deployment</a>
<ul class="toc-indentation">
<li><a href="#InstallationOverview-BestPracticesforSelectingHardware">Best Practices for Selecting Hardware</a></li>
<li><a href="#InstallationOverview-BestPracticesforDeployingHadoopServices">Best Practices for Deploying Hadoop Services</a></li>
</ul>
</li>
</ul>
</div></p><h2 id="InstallationOverview-CommandLineInstallationFeatures" style="margin-left: 0.0px;">Command Line Installation Features</h2><p>Using Pivotal Command Center's CLI to install Pivotal HD provides the following functionality:</p><div class="table-wrap"><table class="confluenceTable"><tbody><tr><th class="confluenceTh"><p>Feature</p></th><th class="confluenceTh"><p>Support</p></th></tr><tr><td class="confluenceTd"><p>Checking prerequisites</p></td><td class="confluenceTd"><ul><li>Checks that specified hosts meet the prerequisites to install the supported components.</li></ul></td></tr><tr><td class="confluenceTd"><p>Supported cluster services</p></td><td class="confluenceTd"><ul><li>Installs and configures Hadoop, YARN, ZooKeeper, HBase, Mahout, HAWQ, PXF, Hive, and Pig with default settings.</li><li>Reconfigures the supported cluster services.</li><li>Multi-cluster support.</li><li>Monitors clusters with Pivotal Command Center.</li></ul></td></tr><tr><td class="confluenceTd"><p>Starting and stopping</p></td><td class="confluenceTd"><ul><li>Starts and stops the cluster or individual services.</li><li>Ensures that all dependent services start and stop in the correct order.</li></ul></td></tr><tr><td class="confluenceTd"><p>Logging</p></td><td class="confluenceTd"><ul><li>Provides installation data logs.</li></ul></td></tr><tr><td class="confluenceTd"><p>Uninstallation</p></td><td class="confluenceTd"><ul><li>Uninstalls individual services and Pivotal HD Enterprise.</li></ul></td></tr></tbody></table></div><p><span class="confluence-anchor-link" id="InstallationOverview-DeploymentOptions"></span></p><h2 id="InstallationOverview-DeploymentOptions">Deployment Options</h2><p>The following table illustrates the deployment options and limitations:</p><p> </p><div class="table-wrap"><table class="confluenceTable"><tbody><tr><th class="confluenceTh" colspan="2">Component</th><th class="confluenceTh">CLI install</th><th class="confluenceTh"><p>Manual install</p><p style="text-align: center;">(rpm)</p></th></tr><tr><td class="confluenceTd" colspan="2"><p>Command Center (installs the CLI)</p></td><td class="confluenceTd" colspan="1" style="text-align: center;"> </td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">Hadoop MR2: HDFS, YARN</td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">Pig</td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">Hive</td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2"><p>HBase</p></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2"><p>Mahout</p></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2"><p>Zookeeper</p></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2"><p>Flume</p></td><td class="confluenceTd" colspan="1"> </td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">Sqoop</td><td class="confluenceTd" colspan="1"> </td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">Oozie</td><td class="confluenceTd" colspan="1"> </td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">Hamster</td><td class="confluenceTd" colspan="1"> </td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="2">GraphLab</td><td class="confluenceTd" colspan="1"> </td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" rowspan="2"><p>Advanced Database</p><p>Services:</p></td><td class="confluenceTd" colspan="1">HAWQ</td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr><tr><td class="confluenceTd" colspan="1">PXF</td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td><td class="confluenceTd" colspan="1" style="text-align: center;"><img class="confluence-embedded-image" data-image-src="attachments/69250762/69469593.png" src="attachments/69250762/69469593.png"/></td></tr></tbody></table></div><h2 id="InstallationOverview-PlanningyourPivotalHDClusterDeployment">Planning your Pivotal HD Cluster Deployment</h2><p>To deploy a Hadoop cluster, Pivotal recommends that you consider the following:</p><ul><li>Select the appropriate hardware configuration for Admin and cluster nodes.</li><li>Map Hadoop services roles to cluster nodes.</li><li>Configure the roles to effectively leverage the underlying hardware platform.</li></ul><h3 id="InstallationOverview-BestPracticesforSelectingHardware">Best Practices for Selecting Hardware</h3><p>Typically, you should select your cluster node hardware based on the resource requirements of your analytics workload and overall need for data storage. It is hard to anticipate the workload that may run on the cluster, so designing for a specific type of workload could lead to under utilization of hardware resources. Pivotal recommends that you select the hardware for a balanced workload across different types of system resources, but also have the ability to provision more specific resources such as CPU, I/O bandwidth, and Memory, as workload evolves over the time and the demands for it.</p><p>Hardware and capacity requirements for cluster nodes can vary depending upon what service roles running on them. Typically, failure of cluster slave nodes is tolerated by PHD services, but disruption to master node can cause service availability issues. Thus, it is important to provide more reliable hardware for master nodes (such as NameNode, YARN Resource manager, HAWQ master) for higher cluster availability. </p><p>Overall, when choosing the hardware for cluster nodes, select equipment that lowers power consumption. </p> <div class="aui-message warning shadowed information-macro">
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<p>Following are not minimum requirements, they are Pivotal best practices recommendations.</p><p>Any configuration higher than the minimum recommendations is always preferable.</p>
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<h4 id="InstallationOverview-ClusterSlaves">Cluster Slaves</h4><p>Cluster slave nodes run Hadoop service slaves such as the Datanode, NodeManager, RegionServer, and SegmentServer.</p><ul><li>2 CPUs (4 to 8 cores)--- You can also have a single CPU with more (6 to 8) cores and the ability to add additional CPUs, if needed in future. An algorithm to measure this is as follows: total map+reduce tasks per node are ~= 1.5 times number of cores per node. Note: You might consider decreasing the number of map/reduce tasks per node when using PHD with HAWQ and assigning more cores to HAWQ segment servers, based on mixed workload of HAWQ vs. MapReduce.</li><li>24 to 64GB RAM per node — Typically 1 GB for each Hadoop daemon, such as DataNode, NodeManager, Zookeeper etc., 2 to 3GB for OS and other services; and 1.5 or 2GB for each map/reduce task. <strong>Note</strong>: memory per map/reduce tasks on slave nodes depends on application requirements.</li><li>4 to 10, 2TB or 3TB disks, 7.2K RPM, SATA drives (JBOD) -- More disks per node provides more I/O bandwidth, although more disk capacity per node could put more memory requirements on the HDFS Namenode. The reason for this is that the total HDFS storage capacity grows with the number of cluster nodes, while average HDFS file size stays small.</li><li>2 x 2TB or 3TB disks, RAID 1 configured for System OS. It can also store Hadoop daemon logs.</li><li>1GbE or 10GbE network connectivity within RACK</li></ul><h4 id="InstallationOverview-ClusterMasters">Cluster Masters</h4><p>Cluster master nodes run Hadoop service masters such as the NameNode, ResourceManager, and HAWQ Master</p><p>You must select more reliable hardware for cluster master nodes.</p><ul><li>Memory (RAM) requirements are higher, depending on the size of the cluster, number of HDFS storage, and number of files. Typical memory ranges would be 24GB to 64 GB.</li><li>Local disk storage requirement is 1 to 2TB, SAS disks, with RAID5/6</li></ul> <div class="aui-message warning shadowed information-macro">
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<p>Master nodes require less storage than cluster slave nodes.</p>
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<h4 id="InstallationOverview-PivotalHDAdminnode">Pivotal HD Admin node</h4><p>Ensure that the Admin node is separate from the cluster nodes, especially if the cluster has more than 15 - 20 nodes. The minimum hardware requirements are as follows:</p><ul><li>1 Quad code CPU,</li><li>4 to 8GB RAM,</li><li>2x2TB SATA disks,</li><li>1GbE network connectivity</li></ul><h3 id="InstallationOverview-BestPracticesforDeployingHadoopServices">Best Practices for Deploying Hadoop Services</h3><p>When creating your test environment, you can deploy all the Hadoop services and roles on a single node. A test cluster usually comprises 3 to 5 nodes. However, when deploying a production cluster with more nodes, use the following guidelines for better performance, availability, and use:</p><ul><li>Hadoop services Master roles: For example, HDFS NameNode, YARN ResourceManager and History Server, HBase Master, HAWQ Master. These should reside on separate nodes. These services and roles require dedicated resources, since they communicate directly with Hadoop client applications. Running Hadoop slave/application tasks (map/reduce tasks) on the same node interferes with master resource requirements.</li><li>Hadoop services slave roles: For example, HDFS DataNode, YARN NodeManager, HBase RegionServer, HAWQ SegmentServer. These should reside on the cluster slave nodes. This helps provide optimal data access as well as better hardware use.</li><li>HBase requires Zookeeper: Zookeeper should have an odd number of Zookeeper servers. This application does not need dedicated nodes and can reside on the master server with ~ 1GB RAM and a dedicated disk with ~ 1 TB of space.</li><li>Hadoop Clients: For example, Hive, Pig etc. These should be installed on the separate gateway nodes, depending on multi-user application requirements.</li></ul><p>At this point you should have numerous systems with defined roles (admin node, namenode, HAWQ master, etc), all ready for installation/deployment of the PHD software distribution.</p><p> </p>
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