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You're reading from  Scaling Big Data with Hadoop and Solr, Second Edition

Product typeBook
Published inApr 2015
Publisher
ISBN-139781783553396
Edition1st Edition
Tools
SolrHadoop
Concepts
Big Data
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Author (1)
Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

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Using Solr 1301 Patch – reduce-side indexing

The Solr 1301 patch is responsible for generating an index using the Apache Hadoop MapReduce framework. This patch is merged in Solr version 4.7 and is available in the code-line if you take Apache Solr with 4.7+ versions. This patch is similar to the previously discussed patch (SOLR-1045), but the difference is that the indexes that are generated using Solr 1301 are in the reduce phase and not in the map phase of Apache Hadoop's MapReduce. Once the indexes are generated, they can be loaded on Solr or SolrCloud for further processing and application searching. The following diagram depicts the overall flow:

In case of Solr 1301, a map task is responsible for converting input records into a <key, value> pair. Later, they are passed to the reducer. The reducer is responsible for converting and publishing SolrInputDocument, which is then transformed into Solr indexes. The indexes are then persisted on HDFS directly and can later be exported...

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Scaling Big Data with Hadoop and Solr, Second Edition
Published in: Apr 2015Publisher: ISBN-13: 9781783553396
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

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