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Solr Cookbook - Third Edition

You're reading from   Solr Cookbook - Third Edition Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783553150
Length 356 pages
Edition 3rd Edition
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Author (1):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
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Table of Contents (12) Chapters Close

Preface 1. Apache Solr Configuration FREE CHAPTER 2. Indexing Your Data 3. Analyzing Your Text Data 4. Querying Solr 5. Faceting 6. Improving Solr Performance 7. In the Cloud 8. Using Additional Functionalities 9. Dealing with Problems 10. Real-life Situations Index

Tuning segment merging

As you might know, a Lucene index is built of one or more segments. In general, a segment is a write-once, read-many data structure, which means that once written it won't be updated (only some parts of it will be, such as information about a deleted document). Segment merging is a process of combining multiple segments to a new one to reduce the overall number of segments the index is built of. The reason Lucene does this is because of performance—the smaller the number of segments, the better the search performance is. On the other hand, segment merge is a resource-intensive process as it requires you to read the old segments and write the new ones. Because of all this, it is good to know how to tune segment merging for our own purposes and this recipe will show you how to do that.

How to do it...

  1. For the purpose of this recipe, I assume that we are starting with the basic Solr configuration, which looks as follows when it comes to segment merging (we...
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