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Mastering Elasticsearch - Second Edition

You're reading from   Mastering Elasticsearch - Second Edition Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783553792
Length 434 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Power User Query DSL 3. Not Only Full Text Search 4. Improving the User Search Experience 5. The Index Distribution Architecture 6. Low-level Index Control 7. Elasticsearch Administration 8. Improving Performance 9. Developing Elasticsearch Plugins Index

Segment merging under control


As you already know (we've discussed it throughout Chapter 1, Introduction to Elasticsearch), every Elasticsearch index is built out of one or more shards and can have zero or more replicas. You also know that each of the shards and replicas are actual Apache Lucene indices that are built of multiple segments (at least one segment). If you recall, the segments are written once and read many times, and data structures, apart from the information about the deleted documents that are held in one of the files, can be changed. After some time, when certain conditions are met, the contents of some segments can be copied to a bigger segment, and the original segments are discarded and thus deleted from the disk. Such an operation is called segment merging.

You may ask yourself, why bother about segment merging? There are a few reasons. First of all, the more segments the index is built of, the slower the search will be and the more memory Lucene will need. In addition...

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