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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 2. Indexing Your Data FREE CHAPTER 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

Warming up

Sometimes, there may be a need to prepare Elasticsearch to handle your queries. Maybe it's because you heavily rely on the field data cache and you want it to be loaded before your production queries arrive, or maybe you want to warm up your operating system's I/O cache so that the data indices files are read from the cache. Whatever the reason, Elasticsearch allows us to use so called warming queries for our types and indices.

Defining a new warming query

A warming query is nothing more than the usual query stored in a special type called _warmer in Elasticsearch. Let's assume that we have the following query that we want to use for warming up:

curl -XGET localhost:9200/library/_search?pretty -d '{
  "query" : {
    "match_all" : {}
  },
  "aggs" : {
    "warming_aggs" : {
      "terms" : {
        "field" : "tags"
      }
    }
  }
}'

To store the preceding query as a warming query for...

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