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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
Author Profile Icon Shiva Achari
Shiva Achari
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark Index

Sqoop 1 architecture


Sqoop1 architecture is a client-side tool, which is tightly coupled with the Hadoop cluster. A Sqoop command initiated by the client fetches the metadata of the tables, columns, and data types, according to the connectors and drivers interfaces. The import or export is translated to a Map-only Job program to load the data in parallel between the databases and Hadoop. Clients should have the appropriate connector and driver for the execution of the process.

The Sqoop architecture is shown in the following figure:

Limitation of Sqoop 1

Few limitations that were realized after a wide adaptation of Sqoop 1 for data ingestion led to Sqoop 2, which were:

  • Connectors have to support the serialization format, otherwise Sqoop cannot transfer data in that format and connectors have to be JDBC drivers. Some database vendors do not provide it.

  • Not easy to configure and install.

  • Monitoring and debugging is difficult.

  • Security concerns as Sqoop 1 requires root access to install and configure...

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