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Hbase Essentials

Hbase Essentials

By : Garg
3.5 (2)
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Hbase Essentials

Hbase Essentials

3.5 (2)
By: Garg

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
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Introducing HBase
1. Introducing HBase
The world of Big Data
The origin of HBase
Use cases of HBase
Installing HBase
Understanding HBase cluster components
Summary
2
2. Defining the Schema
2. Defining the Schema
Data modeling in HBase
Designing tables
Accessing HBase
Summary
3
3. Advanced Data Modeling
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3. Advanced Data Modeling
Understanding keys
HBase table scans
Implementing filters
Summary
4
4. The HBase Architecture
4. The HBase Architecture
Data storage
Data replication
Securing HBase
HBase and MapReduce
Summary
5
5. The HBase Advanced API
5. The HBase Advanced API
Counters
Coprocessors
The administrative API
Summary
6
6. HBase Clients
6. HBase Clients
The HBase shell
Kundera – object mapper
REST clients
The Thrift client
The Hadoop ecosystem client
Summary
7
7. HBase Administration
7. HBase Administration
Cluster management
Cluster monitoring
Performance tuning
Troubleshooting
Summary
8
Index
Index

HBase table scans

In the previous chapter, we took a look at CRUD operations in HBase. Now, let's take a step further and discuss table scans in Hbase. In Hbase, table scans are similar to iterators in Java or nonscrollable cursors in the RDBMS world. The HBase table scans command is useful for querying the data to access the complete set of records for a specific value by applying filters. Hence, the scan() operation reads the defined portion of data similar to the get() operation, and the filters are applied to the read portion for narrowing down the results further.

The org.apache.hadoop.hbase.client package provides the Scan class with the following constructors:

Constructor

Description

Scan()

The default scan constructor reads the entire HBase table, including all the column families and the respective columns

Scan(byte[] startRow)

Creates a scan operation starting at the specified row

Scan(byte[] startRow, byte[] stopRow)

Creates a scan operation for the range of...

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