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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

Query rescoring


One of the great features provided by Elasticsearch is the ability to change the ordering of documents after they were returned by a query. Actually, Elasticsearch does a simple trick—it recalculates the score of top matching documents, so only part of the document in the response is reordered. The reasons why we want to do that can vary. One of the reasons may be performance—for example, calculating target ordering is very costly because scripts are used and we would like to do this on the subset of documents returned by the original query. You can imagine that rescore gives us many great opportunities for business use cases. Now, let's look at this functionality and how we can benefit from using it.

What is query rescoring?

Rescore in Elasticsearch is the process of recalculating the score for a defined number of documents returned by the query. This means that Elasticsearch first takes N documents for a given query (or the post_filter phase) and calculates their score using...

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