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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (23) Chapters close

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
1. Journey to Hadoop 3 2. Deep Dive into the Hadoop Distributed File System 3. YARN Resource Management in Hadoop 4. Internals of MapReduce 5. SQL on Hadoop 6. Real-Time Processing Engines 7. Widely Used Hadoop Ecosystem Components 8. Designing Applications in Hadoop 9. Real-Time Stream Processing in Hadoop 10. Machine Learning in Hadoop 11. Hadoop in the Cloud 12. Hadoop Cluster Profiling 13. Who Can Do What in Hadoop 14. Network and Data Security 15. Monitoring Hadoop 1. Other Books You May Enjoy Index

Hive


Hive is a widely used data warehouse tool on top of Hadoop and plays an important role in running daily batch jobs and business reporting queries by using an execution engine such as MapReduce, Apache Tez, Apache Spark, and so on. It is important to do a benchmark test for it.

TPC-DS

One of the important benchmarking paradigms for Hive is TPC-DS. This benchmarking standard is created especially for big data systems that cater for multiple business needs and different kinds of queries, such as data mining, ad hoc, transaction-oriented, and reporting. You can use the Hortonworks hive-testbench open source package to run TPC-DS benchmark. The following are the steps to execute with HIVE 13:

  • Clone the lastest GitHub repository Git clone from https://github.com/hortonworks/hive-testbench.git
  • Build TPC-DS, as follows:
cd hive-testbench
       ./tpcds-build.sh
  •  Generate tables and load data, as follows:
./tpcds-setup.sh [SCALE_FACTOR][DIRECTORY]

       /* SCALE_FACTOR represents how much data how...
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