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  • Book Overview & Buying Advanced Elasticsearch 7.0
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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

API conventions

We will only discuss some of the major conventions. For others, please refer to the Elasticsearch reference (https://www.elastic.co/guide/en/elasticsearch/reference/master/api-conventions.html). The following list can be applied throughout the REST API:

  • Access across multiple indices: This convention cannot be used in single document APIs:
    • _all: For all indices
    • comma: A separator between two indices
    • wildcard (*,-): The asterisk character, *, is used to match any sequence of characters in the index name, excluding the index afterwards
  • Common options:
    • Boolean values: false means the mentioned value is false; true means the value is true.
    • Number values: A number is as a string on top of the native JSON number type.
    • Time unit for duration: The supported time units are d for days, h for hours, m for minutes, s for seconds, ms for milliseconds, micros for microseconds...
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Advanced Elasticsearch 7.0
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