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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Basic queries


Elasticsearch has extensive search and data analysis capabilities that are exposed in forms of different queries, filters, aggregates, and so on. In this section, we will concentrate on the basic queries provided by Elasticsearch. By basic queries we mean the ones that don't combine the other queries together but run on their own.

The term query

The term query is one of the simplest queries in Elasticsearch. It just matches the document that has a term in a given field - the exact, not analyzed term. The simplest term query is as follows:

{
  "query" : {
  "term" : {
    "title" : "crime"
  }
  }
}

It will match the documents that have the term crime in the title field. Remember that the term query is not analyzed, so you need to provide the exact term that will match the term in the indexed document. Note that in our input data, we have the title field with the value of Crime and Punishment (upper cased), but we are searching for crime, because the Crime terms becomes crime after...

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