Reader small image

You're reading from  Learning Elasticsearch

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

Right arrow

Summary

In this chapter, we discussed how to implement autocomplete, highlighting, and correcting user typos. Elasticsearch doesn't support traditional SQL joins, and you learned how to use parent-child and nested mapping to handle relationships between different document types. We discussed filtering based on geolocation and how to use location as one of factors driving the relevance score. We also discussed using Painless scripting language to query based on user-defined scripts. We also covered Search Templates and how to query Elasticsearch from your application.

In the next chapter, we will discuss aggregations and how to use them to slice and dice your data.

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
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