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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
3. Advanced Data Modeling
Understanding keys
HBase table scans
Implementing filters
Summary
4
4. The HBase Architecture
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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

Data replication

Data replication is copying data from one cluster to another cluster by replicating the writes as the first cluster received it. Intercluster (geographically apart as well) replication in HBase is achieved by log shipping asynchronously. Data replication serves as a disaster recovery solution and also provides higher availability at the HBase layer.

The master-push pattern used by HBase replication keeps track of what is currently being replicated as each region server has its own write-ahead log. One master cluster can replicate any number of slave clusters. Each region server will participate to replicate its own batch (the default size is 64 MB) of write-ahead edit records contained within WAL.

The master-push pattern used for cluster replication can be designed in three different ways:

  • Master-slave replication: In this type of replication, all the writes go to the primary cluster (master) first and then are replicated to the secondary cluster (slave). This type of enforcement...

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