Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Elasticsearch Server - Third Edition
  • Toc
  • feedback
Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

By : Marek Rogozinski, Rafal Kuc
5 (1)
close
Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

5 (1)
By: Marek Rogozinski, Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (13 chapters)
close
12
Index

Warming up

Sometimes, there may be a need to prepare Elasticsearch to handle your queries. Maybe it's because you heavily rely on the field data cache and you want it to be loaded before your production queries arrive, or maybe you want to warm up your operating system's I/O cache so that the data indices files are read from the cache. Whatever the reason, Elasticsearch allows us to use so called warming queries for our types and indices.

Defining a new warming query

A warming query is nothing more than the usual query stored in a special type called _warmer in Elasticsearch. Let's assume that we have the following query that we want to use for warming up:

curl -XGET localhost:9200/library/_search?pretty -d '{
  "query" : {
    "match_all" : {}
  },
  "aggs" : {
    "warming_aggs" : {
      "terms" : {
        "field" : "tags"
      }
    }
  }
}'

To store the preceding query as a warming query for...

bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete