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Elasticsearch Essentials

You're reading from   Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Elasticsearch FREE CHAPTER 2. Understanding Document Analysis and Creating Mappings 3. Putting Elasticsearch into Action 4. Aggregations for Analytics 5. Data Looks Better on Maps: Master Geo-Spatiality 6. Document Relationships in NoSQL World 7. Different Methods of Search and Bulk Operations 8. Controlling Relevancy 9. Cluster Scaling in Production Deployments 10. Backups and Security Index

Understanding Query-DSL parameters


  • query: The query object contains all the queries that need to be passed to Elasticsearch. For example, the query to find all the documents that belong to a search category can written as follows:

    GET index_name/doc_type/_search
    {
      "query": {
        "query_string": {
     "default_field": "category",
          "query": "search"
        }
      }
    }
  • from and size: These parameters control the pagination and the result size to be returned after querying. The from parameter is used to specify the starting point from which document the results will be returned. It defaults to 0. The size parameter, which defaults to 10, specifies how many top documents will be returned from the total matched documents in a corpus.

  • _source: This is an optional parameter that takes field names in an array format, which are to be returned in the query results. It by default returns all the fields stored inside the _source field. If you do not want to return any field, you can specify _source: false...

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