Book Image

Advanced Elasticsearch 7.0

By : Wai Tak Wong
Book Image

Advanced Elasticsearch 7.0

By: Wai Tak Wong

Overview of this book

Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks. You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch. By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Fundamentals and Core APIs
8
Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
13
Section 3: Programming with the Elasticsearch Client
16
Section 4: Elastic Stack
20
Section 5: Advanced Features

Search APIs

So far, what we have learned from the preceding four chapters is preparing us for searching. We prepared the index settings, the mappings, the analyzers, and then we indexed the documents. One of the ultimate goals is to execute the query and get high-quality results from the index. The Search API allows you to perform a search query and return the search hits that match the query. There are two basic ways to run a search: one is to send the search request with URL parameters, and the other is to use a request body. This chapter also provides additional information about searching related APIs, such as tuning, validating, and troubleshooting. By the end of this chapter, you will have covered the following topics:

  • The URI search
  • The Request body search
  • The Query domain-specific language (DSL)
  • The Multi-search API
  • The Explain API
  • The Validate API
  • The Count API
  • The Field...