Hortonworks Data Platform

System Administration

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Hortonworks Data Platform (HDP) and any of its components are not anticipated to be combined with any hardware, software or data, except as expressly recommended in this documentation.

2014-12-02

Abstract

The Hortonworks Data Platform, powered by Apache Hadoop, is a massively scalable and 100% open source platform for storing, processing and analyzing large volumes of data. It is designed to deal with data from many sources and formats in a very quick, easy and cost-effective manner. The Hortonworks Data Platform consists of the essential set of Apache Hadoop projects including MapReduce, Hadoop Distributed File System (HDFS), HCatalog, Pig, Hive, HBase, ZooKeeper and Ambari. Hortonworks is the major contributor of code and patches to many of these projects. These projects have been integrated and tested as part of the Hortonworks Data Platform release process and installation and configuration tools have also been included.

Unlike other providers of platforms built using Apache Hadoop, Hortonworks contributes 100% of our code back to the Apache Software Foundation. The Hortonworks Data Platform is Apache-licensed and completely open source. We sell only expert technical support, training and partner-enablement services. All of our technology is, and will remain free and open source.

For more information on Hortonworks technology, please visit the Hortonworks Data Platform page. For more information on Hortonworks services, please visit either the Support or Training page. Feel free to contact us directly to discuss your specific needs.

Contents

1. Decommissioning Slave Nodes

1. Prerequisites
2. Decommission DataNodes or NodeManagers
3. Decommission DataNodes
4. Decommission NodeManagers
5. Decommission HBase RegionServers

2. HBase Cluster Capacity and Region Sizing

1. Node Count and JVM Configuration

1.1. Physical Size of the Data
1.2. Read/Write Throughput

2. Region Count and Size

3. Increase Memstore Size for a Region Server

4. Increase Size of the Region

5. Initial Configuration and Tuning

5.1. Increase the Request Handler Thread Count
5.2. Configure the Size and Number of WAL Files
5.3. Configure Compactions
5.4. Pre-split Tables
5.5. Configure the JVM Garbage Collector

3. Hive Authorization

1. Ranger-Hive Integration
2. SQL Standard-Based Authorization in Hive
3. Required Privileges for Hive Operations
4. Configuring SQL Standard-Based Authorization
5. Storage-Based Authorization in Hive
6. Required Permissions for Hive Operations
7. Configuring Storage-based Authorization

4. Manually Adding Slave Nodes to an HDP Cluster

1. Prerequisites
2. Add Slave Nodes
3. Add HBase RegionServer

5. Optimizing HBase I/O/title>

1. An Overview of HBase I/O
2. Configuring BlockCache
3. (Optional) Configuring Off-heap Memory (BucketCache)
4. Compressing BlockCache

6. Using DistCp to Copy Files

1. Using DistCp

2. Command Line Options

3. Update and Overwrite

4. DistCp and Security Settings

5. Secure-to-Secure: Kerberos Principal Name

6. Secure-to-Secure: ResourceManager Mapping Rules

7. DistCp and HDP Version

8. DistCp Data Copy Matrix: HDP1/HDP2 to HDP2

9. Copying Data from HDP-2.x to HDP-1.x Clusters

10. DistCp Architecture

10.1. DistCp Driver
10.2. Copy-listing Generator
10.3. InputFormats and MapReduce Components

11. DistCp Frequently Asked Questions

12. Appendix

12.1. Map Sizing
12.2. Copying Between Versions of HDFS
12.3. MapReduce and Other Side-Effects

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