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  • Book Overview & Buying Learning Hbase
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Learning Hbase

Learning Hbase

By : Shriparv
4.1 (8)
Buy this Book
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Learning Hbase

Learning Hbase

4.1 (8)
By: Shriparv
Buy this Book

Overview of this book

If you are an administrator or developer who wants to enter the world of Big Data and BigTables and would like to learn about HBase, this is the book for you.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Understanding the HBase Ecosystem
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1. Understanding the HBase Ecosystem
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HBase layout on top of Hadoop
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Comparing architectural differences between RDBMs and HBase
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HBase features
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HBase in the Hadoop ecosystem
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Comparing functional differences between RDBMs and HBase
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About the internal storage architecture of HBase
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Getting started with HBase
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Applications of HBase
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HBase pros and cons
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Summary
2
2. Let's Begin with HBase
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2. Let's Begin with HBase
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Understanding HBase components in detail
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Reading and writing cycle
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HBase housekeeping
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The HBase delete request
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List of available HBase distributions
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Prerequisites and capacity planning for HBase
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Summary
3
3. Let's Start Building It
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3. Let's Start Building It
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Downloading Java on Ubuntu
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Considering host configurations
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Installing and configuring SSH
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Installing and configuring NTP
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Performing capacity planning
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Installing and configuring Hadoop
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Hadoop start up steps
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Configuring Apache HBase
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Installing and configuring ZooKeeper
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Installing Cloudera Hadoop and HBase
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Installing the Hadoop and MapReduce packages
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Installing Hadoop on Windows
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Summary
4
4. Optimizing the HBase/Hadoop Cluster
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4. Optimizing the HBase/Hadoop Cluster
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Setup types for Hadoop and HBase clusters
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Recommendations for CDH cluster configuration
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Capacity planning
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Hadoop optimization
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Optimizing HBase
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Optimizing ZooKeeper
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Important files in Hadoop
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Important files in HBase
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Summary
5
5. The Storage, Structure Layout, and Data Model of HBase
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5. The Storage, Structure Layout, and Data Model of HBase
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Data types in HBase
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Storing data in HBase – logical view versus actual physical view
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Services of HBase
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Data model operations
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Versioning and why
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Deciding the number of the version
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Schema designing
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Calculating the data size stored in HBase
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Summary
6
6. HBase Cluster Maintenance and Troubleshooting
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6. HBase Cluster Maintenance and Troubleshooting
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Hadoop shell commands
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HBase shell commands
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HBase administration tools
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Writing HBase shell scripts
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Using the Hadoop tool or JARs for HBase
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Connecting HBase with Hive
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HBase region management
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HBase node management
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Implementing security
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Troubleshooting the most frequent HBase errors and their explanations
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Summary
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7. Scripting in HBase
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7. Scripting in HBase
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HBase backup and restore techniques
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HBase on Windows
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Scripting in HBase
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Contributing to HBase
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Summary
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8. Coding HBase in Java
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8. Coding HBase in Java
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Setting up the environment for development
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Data types
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Data model Java operations
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HBase filters
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Client APIs
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Summary
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9. Advance Coding in Java for HBase
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9. Advance Coding in Java for HBase
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Interfaces, classes, and exceptions
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Code related to administrative tasks
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Data operation code
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MapReduce and HBase
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RESTful services and Thrift services interface
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Coding for HDFS operations
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Some advance topics in brief
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Summary
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10. HBase Use Cases
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10. HBase Use Cases
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HBase in industry today
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The future of HBase against relational databases
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Some real-world project examples' use cases
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Useful links and references
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Summary
11
Index
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Index

Data operation code

Data operation code is all about adding a record, deleting a record, and getting a single record. It will also help in scanning the table and listing all records.

Let's see how we can build our own function to perform various tasks:

public void addOneRecordToTable(String tableObjName, String rowKey,
String colFamName, String columnName, String data) throws Exception
{
  try
  {
    HTable tableObj = new HTable(configurationObj, tableObjName);
    Put put = new Put(Bytes.toBytes(rowKey));
    put.add(Bytes.toBytes(colFamName), Bytes.toBytes(columnName), Bytes
    .toBytes(data));
    tableObj.put(put);
  }
  catch (IOException exception)
  {
    exception.printStackTrace();
  }
}
public  void delRecordFromTable(String tableObjName, String rowKey) throws IOException
{
  HTable tableObj = new HTable(configurationObj, tableObjName);
  List<Delete>list = new ArrayList<Delete>();
  Delete delObj = new Delete(rowKey.getBytes());
  list.add(delObj);
  tableObj.delete...
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Learning Hbase
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