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  • Book Overview & Buying ElasticSearch Blueprints
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ElasticSearch Blueprints

ElasticSearch Blueprints

By : Mohan
3 (2)
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ElasticSearch Blueprints

ElasticSearch Blueprints

3 (2)
By: Mohan
Buy this Book

Overview of this book

If you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Google-like Web Search
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1. Google-like Web Search
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Deploying Elasticsearch
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Communicating with the Elasticsearch server
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Setting the analyzer
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Using phrase query to search
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Using the highlighting feature
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Pagination
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Summary
2
2. Building Your Own E-Commerce Solution
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2. Building Your Own E-Commerce Solution
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Data modeling in Elasticsearch
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Choosing between a query and a filter
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Searching your documents
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Aggregating your results
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Filter your results based on a date range
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Implementing a prize range filter
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Implementing a category filter
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Implementation of filters in Elasticsearch
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Searching with multiple conditions
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Sorting results
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Using the scroll API for consistent pagination
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Autocomplete in Elasticsearch
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Hotel suggester using autocomplete
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Summary
3
3. Relevancy and Scoring
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3. Relevancy and Scoring
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How scoring works
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The Ebola outbreak
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Summary
4
4. Managing Relational Content
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4. Managing Relational Content
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The product-with-tags search problem
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Nested types to the rescue
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Limitations on a query on nested fields
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Using a parent-child approach
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Schema design to store questions and answers
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Searching questions based on a criteria of answers
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Searching answers based on a criteria of questions
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The score of questions based on the score of each answer
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Filtering questions with more than four answers
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Summary
5
5. Analytics Using Elasticsearch
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5. Analytics Using Elasticsearch
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A flight ticket analytics scenario
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Summary
6
6. Improving the Search Experience
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6. Improving the Search Experience
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News search
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A case-insensitive search
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Effective e-mail or URL link search inside text
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Prioritizing a title match over content match
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Terms aggregation giving weird results
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Using a lowercased analyzer
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Improving the search experience using stemming
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A synonym-aware search
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The holy box of search
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Boolean operations
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Words with similar sounds
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Substring matching
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Summary
7
7. Spicing Up a Search Using Geo
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7. Spicing Up a Search Using Geo
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Restaurant search
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Data modeling for restaurants
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The nearest hotel problem
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The maximum distance covered
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Inside the city limits
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Distance values between the current point and each restaurant
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Restaurant categorization based on distance
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Aggregating restaurants based on their nearness
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Summary
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8. Handling Time-based Data
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8. Handling Time-based Data
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Overriding default mapping and settings in Elasticsearch
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Index template creation
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Searching for time-based data
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Archiving time-based data
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Closing older indices
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Snapshot creation
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Restoring a snapshot
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Restoring multiple indices
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The curator
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Shard allocation using curator
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Optimization
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Summary
9
Index
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Index

A flight ticket analytics scenario

A flight booking agency can find data analytics very important to improve its business. It has the following information per booked ticket about the passenger and the flight:

  • The time of booking
  • The time of flight departure
  • The time of flight arrival
  • The airport from which the plane departs
  • The airport at which the plane arrives
  • Whether the passenger is male or female
  • The purpose of his/her visit
  • Whether the passenger is travelling economy or business class

So, with this information, we can model the document in JSON, as follows:

{
    "departure" : {  
      "time" : "2014-10-10 01:01:01",
      "airport" : "Kochi",
    },
    "arrival" : {  
      "time" : "2014-10-10 01:01:01",
      "airport" : "Bangalore",
    }.
    "passengerDetails" : {
      "name" : "Damodar Das",
      "purposeOfVisit" : "WorkRelated",...
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Tech Concepts
36
Programming languages
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ElasticSearch Blueprints
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