Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering Elasticsearch 5.x
  • Table Of Contents Toc
  • Feedback & Rating feedback
Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x - Third Edition

By : Bharvi Dixit
1 (1)
close
close
Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

1 (1)
By: Bharvi Dixit

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (13 chapters)
close
close

Structure of the rescore query


Let's now modify our query so that it uses the rescore functionality. Basically, let's assume that we want the score of the document to be equal to the value of the year field. The query that does that would look as follows:

{ 
  "query": { 
    "match_all": {} 
  }, 
  "rescore": { 
    "query": { 
      "rescore_query": { 
        "function_score": { 
          "query": { 
            "match_all": {} 
          }, 
          "script_score": { 
            "script": { 
              "inline": "doc['year'].value", 
              "lang": "painless" 
            } 
          } 
        } 
      } 
    } 
  } 
  "_source": ["title", "available"] 
} 

Let's now look at the preceding query in more detail. The first thing you may have noticed is the rescore object. The mentioned object holds the query that will affect the scoring of the documents returned by the query. In our case, the logic is very simple, we just assign the value of the year field as the score of...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering Elasticsearch 5.x
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon