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Scaling Big Data with Hadoop and Solr, Second Edition

You're reading from   Scaling Big Data with Hadoop and Solr, Second Edition Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783553396
Length 166 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Toc

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "By deleting the DFS data folder, you can find the location from hdfs-site.xml and restart the cluster."

A block of code is set as follows:

<configuration>
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://master-server:9000</value>
  </property>
</configuration>

Any command-line input or output is written as follows:

$ $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh start historyserver

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "You can validate the content created by your new MongoDB DIH by accessing the Solr Admin page, and running a query".

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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