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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Toc

Table of Contents (13) Chapters Close

Preface 1. Configuring HBase 2. Loading Data from Various DBs FREE CHAPTER 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Write Path


HBase is designed to optimize writes. This is achieved by splitting the load across all the Region Servers. The design is optimized to handle Region Server failure and data loss. HBase data is orchestrated very similarly to store map, such as sorted key space partitions located in different shards/regions.

HBase tables are managed by a series of servers, as follows:

  • One active master server

  • Multiple backup master servers (you can use one backup too)

  • Many Region Servers

When a Region Server receives a write request, it relays the call to the specific region. Each region stores sets of rows. Row data can be separated into multiple column families (we will discuss this in the chapter about schema design). The data of a particular column family is stored in HStore, which has Memstore and a set of HFiles. Memostore is kept in the Region Server main memory, during which the HFiles are written to HDFS.

Note

Note that you can plan to flush the changes in the form of batches by switching off...

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