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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Executing the top hit aggregation

The top hit aggregation is different from the other aggregation types. All the previous aggregations have metric (simple values) or bucket values; the top hit aggregation returns buckets of search hits.

Generally, the top hit aggregation is used as a subaggregation so that the top matching documents can be aggregated in buckets.

Getting ready

You need a working ElasticSearch cluster and an index populated with the script (chapter_06/executing_top_hit_aggregations.sh) available at https://github.com/aparo/elasticsearch-cookbook-second-edition.

How to do it...

To execute a top hit aggregation, we will perform the steps given as follows:

  1. We want to aggregate the documents hits by tag (tags) and return only the name field of documents with a maximum age (top_tag_hits). We'll execute the search and aggregation with the following command:
    curl -XGET 'http://127.0.0.1:9200/test-index/test-type/_search' -d '{
      "query": {
        "match_all...
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