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Seven NoSQL Databases in a Week

You're reading from   Seven NoSQL Databases in a Week Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781787288867
Length 308 pages
Edition 1st Edition
Languages
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Authors (4):
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Sudarshan Kadambi Sudarshan Kadambi
Author Profile Icon Sudarshan Kadambi
Sudarshan Kadambi
Aaron Ploetz Aaron Ploetz
Author Profile Icon Aaron Ploetz
Aaron Ploetz
Devram Kandhare Devram Kandhare
Author Profile Icon Devram Kandhare
Devram Kandhare
Xun (Brian) Wu Xun (Brian) Wu
Author Profile Icon Xun (Brian) Wu
Xun (Brian) Wu
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Table of Contents (10) Chapters Close

Preface 1. Introduction to NoSQL Databases FREE CHAPTER 2. MongoDB 3. Neo4j 4. Redis 5. Cassandra 6. HBase 7. DynamoDB 8. InfluxDB 9. Other Books You May Enjoy

Reads and writes


Let's look at the internal mechanics of how reads and writes are executed within a RegionServer instance.

The HBase write path

HDFS is an append-only file system, so how could a database that supports random record updates be built on top of it?

HBase is what's called a log-structured merge tree, or an LSM, database. In an LSM database, data is stored within a multilevel storage hierarchy, with movement of data between levels happening in batches. Cassandra is another example of an LSM database.

When a write for a key is issued from the HBase client, the client looks up Zookeeper to get the location of the RegionServer that hosts the META region. It then queries the META region to find out a table's regions, their key ranges, and the RegionServers they are hosted on.

The client then makes an RPC call to the RegionServer that contains the key in the write request. The RegionServer receives the data for the key, immediately persists this in an in-memory structure called the Memstore...

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