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ElasticSearch Blueprints

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ElasticSearch Blueprints

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ElasticSearch Blueprints
Jul, 2015 | 192 pages
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Table of Contents (15 chapters)
Elasticsearch Blueprints
Elasticsearch Blueprints
Credits
Credits
About the Author
About the Author
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Google-like Web Search
Google-like Web Search
Deploying Elasticsearch
Communicating with the Elasticsearch server
Setting the analyzer
Using phrase query to search
Using the highlighting feature
Pagination
Summary
2
Building Your Own E-Commerce Solution
Building Your Own E-Commerce Solution
Data modeling in Elasticsearch
Choosing between a query and a filter
Searching your documents
Aggregating your results
Filter your results based on a date range
Implementing a prize range filter
Implementing a category filter
Implementation of filters in Elasticsearch
Searching with multiple conditions
Sorting results
Using the scroll API for consistent pagination
Autocomplete in Elasticsearch
Hotel suggester using autocomplete
Summary
3
Relevancy and Scoring
Relevancy and Scoring
How scoring works
The Ebola outbreak
Summary
4
Managing Relational Content
Managing Relational Content
The product-with-tags search problem
Nested types to the rescue
Limitations on a query on nested fields
Using a parent-child approach
Schema design to store questions and answers
Searching questions based on a criteria of answers
Searching answers based on a criteria of questions
The score of questions based on the score of each answer
Filtering questions with more than four answers
Summary
5
Analytics Using Elasticsearch
Analytics Using Elasticsearch
A flight ticket analytics scenario
Summary
6
Improving the Search Experience
Improving the Search Experience
News search
A case-insensitive search
Effective e-mail or URL link search inside text
Prioritizing a title match over content match
Terms aggregation giving weird results
Using a lowercased analyzer
Improving the search experience using stemming
A synonym-aware search
The holy box of search
Boolean operations
Words with similar sounds
Substring matching
Summary
7
Spicing Up a Search Using Geo
Spicing Up a Search Using Geo
Restaurant search
Data modeling for restaurants
The nearest hotel problem
The maximum distance covered
Inside the city limits
Distance values between the current point and each restaurant
Restaurant categorization based on distance
Aggregating restaurants based on their nearness
Summary
8
Handling Time-based Data
Handling Time-based Data
Overriding default mapping and settings in Elasticsearch
Index template creation
Searching for time-based data
Archiving time-based data
Closing older indices
Snapshot creation
Restoring a snapshot
Restoring multiple indices
The curator
Shard allocation using curator
Optimization
Summary
Index
Index

About the Reviewer

Kartik Bhatnagar is a technical architect at the big data analytics unit of Infosys, Pune. He is passionate about new technologies and the leading development work on Apache Storm and MarkLogic NoSQL. He has 9.5 years of development experience with many fortune clients across countries. He has implemented Elasticsearch engine for a major publishing company in UK. His expertise also includes full-stack Amazon Web Services (AWS). Kartik is also active on the stackoverflow platform and is always eager to help young developers with new technologies.

Kartik is presently working on book based on Storm/Python programming, which is yet to be published.

I would like to dedicate this book to my niece, Pranika, who will be 6 months old by the time this book gets published. Sincere thanks to my parents; wife, Aditi; and son, Prayrit, for their constant support and love to make the review of this book possible.

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