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  • Book Overview & Buying Hbase Essentials
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Hbase Essentials

Hbase Essentials

By : Garg
3.5 (2)
Buy this Book
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Hbase Essentials

Hbase Essentials

3.5 (2)
By: Garg
Buy this Book

Overview of this book

This book is intended for developers and Big Data engineers who want to know all about HBase at a hands-on level. For in-depth understanding, it would be helpful to have a bit of familiarity with HDFS and MapReduce programming concepts with no prior experience with HBase or similar technologies. This book is also for Big Data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic, scalable database solution in the Big Data space.
Table of Contents (9 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. Introducing HBase
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1. Introducing HBase
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The world of Big Data
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The origin of HBase
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Use cases of HBase
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Installing HBase
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Understanding HBase cluster components
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Summary
2
2. Defining the Schema
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2. Defining the Schema
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Data modeling in HBase
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Designing tables
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Accessing HBase
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Summary
3
3. Advanced Data Modeling
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3. Advanced Data Modeling
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Understanding keys
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HBase table scans
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Implementing filters
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Summary
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4. The HBase Architecture
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4. The HBase Architecture
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Data storage
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Data replication
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Securing HBase
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HBase and MapReduce
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Summary
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5. The HBase Advanced API
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5. The HBase Advanced API
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Counters
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Coprocessors
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The administrative API
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Summary
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6. HBase Clients
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6. HBase Clients
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The HBase shell
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Kundera – object mapper
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REST clients
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The Thrift client
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The Hadoop ecosystem client
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Summary
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7. HBase Administration
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7. HBase Administration
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Cluster management
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Cluster monitoring
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Performance tuning
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Troubleshooting
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Summary
8
Index
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Index

Designing tables

In HBase, when modeling the schema for any table, a designer should also keep in mind the following, among other things:

  • The number of column families and which data goes to which column family
  • The maximum number of columns in each column family
  • The type of data to be stored in the column
  • The number of historical values that need to be maintained for each column
  • The structure of a rowkey

Once we have answers, certain practices are followed to ensure optimal table design. Some of the design practices are as follows:

  • Data for a given column family goes into a single store on HDFS. This store might consist of multiple HFiles, which eventually get converted to a single HFile using compaction techniques.
  • Columns in a column family are also stored together on the disk, and the columns with different access patterns should be kept in different column families.
  • If we design tables with fewer columns and many rows (a tall table), we might achieve O(1) operations but also compromise with...

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