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  • Book Overview & Buying Advanced Elasticsearch 7.0
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Advanced Elasticsearch 7.0

Advanced Elasticsearch 7.0

By : Wai Tak Wong
3.5 (4)
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Advanced Elasticsearch 7.0

Advanced Elasticsearch 7.0

3.5 (4)
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)
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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

Typeless APIs working with old custom index types

Prior to version 7.0, indexes could contain a custom type. In version 6.x, only a single index type is allowed for an index. In version 6.7, a dummy index type, _doc, is used if no index type is specified. However, APIs in 7.0 are typeless but the type name _doc is still valid. A new include_type_name URL parameter to support the old custom type index is introduced in version 6.7.

The default value is true since the type name is still required in version 6.7. In version 7.0, the default value is false. To work with the old custom index type, you can attach the include_type_name=false URL parameter. You can skip the custom type in the URL since the typeless GET API is used. An example of retrieving index mappings without specifying the index type in the URL is shown in the following screenshot:

In the response body, no index...

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