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  • Book Overview & Buying ElasticSearch Blueprints
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ElasticSearch Blueprints

ElasticSearch Blueprints

By : Mohan
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ElasticSearch Blueprints

ElasticSearch Blueprints

3 (2)
By: Mohan

Overview of this book

If you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.
Table of Contents (10 chapters)
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9
Index

Choosing between a query and a filter


The basic idea of a search is to narrow down on a subset of documents that you have. In the Elasticsearch context, this means that based on various conditions, you might want to select a set of documents from an index or a set of index. A query and filter facilitate this for you.

If you have already gone through the reference guide or some other documentation of Elasticsearch, you might have noticed that the same set of operations might be available for both queries and filters. So, what are the differentiating factors of a query and filter even when the set of operations given by them are almost the same? Let's find out.

In a query, a matched document can be a better match than another matched document. In a filter, all the matched documents are treated equally.

This means that there is a way to score or rank a document matched against a query to another document match. This is done by computing a score value that tells you how good a match a particular...

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