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You're reading from  ElasticSearch Cookbook

Product typeBook
Published inDec 2013
Reading LevelBeginner
PublisherPackt
ISBN-139781782166627
Edition1st Edition
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Author (1)
Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

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Using the top_children query


In the previous recipe, the has_child query consumes a large amount of memory because it requires to fetch IDs of all the children. To bypass this limitation in huge data contexts the top_children query allows fetching only the top children results.

Getting ready

You need a working ElasticSearch cluster and the data populated with the populate script.

How to do it...

For executing the top_children query, we need to perform the following steps:

  1. We need to search the test-type parents of which the test-type2 top children have a term in the field value as value1. We can create this kind of query as follows:

    curl -XPOST 'http://127.0.0.1:9200/test-index/test-type/_search' -d '{
        "query": {
                "top_children" : {
                    "type" : "test-type2",
                    "query" : {
                        "term" : {
                            "value" : "value1"
                        }
                    },
                    "score" : "max",
                    "factor" : 5,
        ...
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ElasticSearch Cookbook
Published in: Dec 2013Publisher: PacktISBN-13: 9781782166627

Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro