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Elasticsearch 7 Quick Start Guide

You're reading from   Elasticsearch 7 Quick Start Guide Get up and running with the distributed search and analytics capabilities of Elasticsearch

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Product type Paperback
Published in Oct 2019
Publisher Packt
ISBN-13 9781789803327
Length 186 pages
Edition 1st Edition
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Authors (2):
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Douglas Miller Douglas Miller
Author Profile Icon Douglas Miller
Douglas Miller
Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Toc

Data sparsity

In previous versions of Elasticsearch, the sparsity of documents was to be avoided because of Lucene's structure. This structure identifies documents internally with document IDs, which are then used for communication between the internal APIs of Lucene. Lucene retrieves values of the norm from the document ID, generated by a search query, by reading the byte at the index of the document ID.

Lucene is a full-featured text search engine that is written in Java, and Elasticsearch is built on top of Lucene.

This is, at the same time, both very efficient and time-intensive, because Lucene can quickly access the norm values and the documents that have no value and use one byte of storage for each. This means, though, that if an index has x documents, the norms require x bytes of storage per field. This not only affects the sparsity requirements, but also the indexing...

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