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Lucene 4 Cookbook

You're reading from  Lucene 4 Cookbook

Product type Book
Published in Jun 2015
Publisher
ISBN-13 9781782162285
Pages 220 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Edwood Ng Edwood Ng
Profile icon Edwood Ng
LinkedIn
Edwood Ng is a technologist with over a decade of experience in building scalable solutions from proprietary implementations to client-facing web-based applications. Currently, he's the director of DevOps at Wellframe, leading infrastructure and DevOps operations. His background in search engine began at Endeca Technologies in 2004, where he was a technical consultant helping numerous clients to architect and implement faceted search solutions. After Endeca, he drew on his knowledge and began designing and building Lucene-based solutions. His first Lucene implementation that went to production was the search engine behind http://UpDown.com. From there on, he continued to create search applications using Lucene extensively to deliver robust and scalable systems for his clients. Edwood is a supporter of an open source software. He has also contributed to the plugin sfI18NGettextPluralPlugin to the Symphony project.
See other products by Edwood Ng
Vineeth Mohan Vineeth Mohan
Profile icon Vineeth Mohan
LinkedIn
Vineeth Mohan is an architect and developer. He currently works as the CTO at Factweavers Technologies and is also an Elasticsearch-certified trainer. He loves to spend time studying emerging technologies and applications related to data analytics, data visualizations, machine learning, natural language processing, and developments in search analytics. He began coding during his high school days, which later ignited his interest in computer science, and he pursued engineering at Model Engineering College, Cochin. He was recruited by the search giant Yahoo! during his college days. After 2 years of work at Yahoo! on various big data projects, he joined a start-up that dealt with search and analytics. Finally, he started his own big data consulting company, Factweavers. Under his leadership and technical expertise, Factweavers is one of the early adopters of Elasticsearch and has been engaged with projects related to end-to-end big data solutions and analytics for the last few years. There, he got the opportunity to learn various big-data-based technologies, such as Hadoop, and high-performance data ingress systems and storage. Later, he moved to a start-up in his hometown, where he chose Elasticsearch as the primary search and analytic engine for the project assigned to him. Later in 2014, he founded Factweavers Technologies along with Jalaluddeen; it is consultancy that aims at providing Elasticsearch-based solutions. He is also an Elasticsearch-certified corporate trainer who conducts trainings in India. Till date, he has worked on numerous projects that are mostly based on Elasticsearch and has trained numerous multinationals on Elasticsearch.
See other products by Vineeth Mohan
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Table of Contents (16) Chapters

Lucene 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Introducing Lucene 2. Analyzing Your Text 3. Indexing Your Data 4. Searching Your Indexes 5. Near Real-time Searching 6. Querying and Filtering Data 7. Flexible Scoring 8. Introducing Elasticsearch 9. Extending Lucene with Modules Index

SpanQuery

SpanQuery offers the ability to restrict matching by Term positions. It shines when you want to match multiple terms that are close to each other, but not exactly matched as a phrase. It's similar to PhraseQuery with a slop set greater than zero, but it gives you more options to control how matching is done. For instance, say we want to search for terms "humpty" and "wall" from our test setup so that we can match on the sentence "Humpty Dumpty sat on a wall". We can perform this search using either PhraseQuery or SpanQuery with a slop set to 4; both Queries would match. So let's say we switch the two Terms around. Now, we have Terms in this order, "wall" and "humpty". PhraseQuery will fail to find a match because the Terms are out of order. SpanQuery has an option to match, Terms out of order so that we can still find a match even when the Terms' order is reversed.

SpanQuery has other useful functionalities as well. We will explore each SpanQuery type in detail:

  • SpanTermQuery: This...

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Authors (2)

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Profile icon Edwood Ng
LinkedIn
Edwood Ng is a technologist with over a decade of experience in building scalable solutions from proprietary implementations to client-facing web-based applications. Currently, he's the director of DevOps at Wellframe, leading infrastructure and DevOps operations. His background in search engine began at Endeca Technologies in 2004, where he was a technical consultant helping numerous clients to architect and implement faceted search solutions. After Endeca, he drew on his knowledge and began designing and building Lucene-based solutions. His first Lucene implementation that went to production was the search engine behind http://UpDown.com. From there on, he continued to create search applications using Lucene extensively to deliver robust and scalable systems for his clients. Edwood is a supporter of an open source software. He has also contributed to the plugin sfI18NGettextPluralPlugin to the Symphony project.
Read more
See other products by Edwood Ng
Profile icon Vineeth Mohan
LinkedIn
Vineeth Mohan is an architect and developer. He currently works as the CTO at Factweavers Technologies and is also an Elasticsearch-certified trainer. He loves to spend time studying emerging technologies and applications related to data analytics, data visualizations, machine learning, natural language processing, and developments in search analytics. He began coding during his high school days, which later ignited his interest in computer science, and he pursued engineering at Model Engineering College, Cochin. He was recruited by the search giant Yahoo! during his college days. After 2 years of work at Yahoo! on various big data projects, he joined a start-up that dealt with search and analytics. Finally, he started his own big data consulting company, Factweavers. Under his leadership and technical expertise, Factweavers is one of the early adopters of Elasticsearch and has been engaged with projects related to end-to-end big data solutions and analytics for the last few years. There, he got the opportunity to learn various big-data-based technologies, such as Hadoop, and high-performance data ingress systems and storage. Later, he moved to a start-up in his hometown, where he chose Elasticsearch as the primary search and analytic engine for the project assigned to him. Later in 2014, he founded Factweavers Technologies along with Jalaluddeen; it is consultancy that aims at providing Elasticsearch-based solutions. He is also an Elasticsearch-certified corporate trainer who conducts trainings in India. Till date, he has worked on numerous projects that are mostly based on Elasticsearch and has trained numerous multinationals on Elasticsearch.
Read more
See other products by Vineeth Mohan
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