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Advanced Elasticsearch 7.0

Advanced Elasticsearch 7.0

By : Wong
3.5 (4)
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Advanced Elasticsearch 7.0

Advanced Elasticsearch 7.0

3.5 (4)
By: 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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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

Processors

Nearly 30 processors are supported in the ingest pipeline. When the document is indexed, each processor executes as it is declared in the pipeline. A processor is defined with a name and configured with its own parameters. Before we introduce each processor, let's examine some of the common parameters as described in the following table:

Parameter Name Description
field The name of the field to be accessed in the processor. Most of the processors require this parameter.
target_field The name of the destined field to be accessed in the processor. The default value depends on individual parameters. About half of the processors support this optional parameter.
ignore_missing If the field pointed by the field parameter is missing, or the value of the field is a null value in the indexing document, it fails the execution. If this boolean parameter is set...

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