Book Image

Hadoop Essentials

By : Shiva Achari
Book Image

Hadoop Essentials

By: Shiva Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (15 chapters)
Hadoop Essentials
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
3
Pillars of Hadoop – HDFS, MapReduce, and YARN
Index

Exports


Sqoop Export is also in a similar process, only the source will be HDFS. Export is performed in two steps;

  • Gather metadata

  • Submit map-only job

The following figure explains the export into Sqoop:

Sqoop Export has following options:

  • Exporting files from under the HDFS directory to a table:

    sqoop export \
    --connect jdbc:mysql://mysql.example.com/sqoop \
    --username sqoop \
    --password sqoop \
    --table cities \
    --export-dir cities
  • Batch inserts export:

    sqoop export \
    --connect jdbc:mysql://mysql.example.com/sqoop \
    --username sqoop \
    --password sqoop \
    --table cities \
    --export-dir cities \
    --batch
  • Updating existing dataset:

    sqoop export \
    --connect jdbc:mysql://mysql.example.com/sqoop \
    --username sqoop \
    --password sqoop \
    --table cities \
    --update-key id
  • Upsert export:

    sqoop export \
    --connect jdbc:mysql://mysql.example.com/sqoop \
    --username sqoop \
    --password sqoop \
    --table cities \
    --update-key id \
    --update-mode allowinsert
  • Column export:

    sqoop export \
    --connect jdbc:mysql://mysql.example.com...