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You're reading from  Learning Elasticsearch

Product typeBook
Published inJun 2017
PublisherPackt
ISBN-139781787128453
Edition1st Edition
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Author (1)
Abhishek Andhavarapu
Abhishek Andhavarapu
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Abhishek Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.
Read more about Abhishek Andhavarapu

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Search templates

Search templates are very similar to stored procedures in the relational database. Commonly used queries can be defined as a template, and the applications using Elasticsearch can simply refer to the query by its ID. The template accepts parameters, which can be specified at the runtime. Search templates are stored on the server side and can be modified without changes to the client code. Templates are expressed using the Mustache template engine. For more information on mustache, please visit http://mustache.github.io/mustache.5.html.

Let's start by defining a template query to find all the products by their name. The query is as follows:

#Define Template
POST _search/template/find_product_by_name
{
"query" : {
"match" : {
"product_name": "{{ product_name }}"
}
}
}

Once the template is defined, you...

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Learning Elasticsearch
Published in: Jun 2017Publisher: PacktISBN-13: 9781787128453

Author (1)

author image
Abhishek Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.
Read more about Abhishek Andhavarapu