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Advanced Elasticsearch 7.0

You're reading from  Advanced Elasticsearch 7.0

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Pages 560 pages
Edition 1st Edition
Languages
Author (1):
Wai Tak Wong Wai Tak Wong
Profile icon Wai Tak Wong

Table of Contents (25) Chapters

Preface Section 1: Fundamentals and Core APIs
Overview of Elasticsearch 7 Index APIs Document APIs Mapping APIs Anatomy of an Analyzer Search APIs Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
Modeling Your Data in the Real World Aggregation Frameworks Preprocessing Documents in Ingest Pipelines Using Elasticsearch for Exploratory Data Analysis Section 3: Programming with the Elasticsearch Client
Elasticsearch from Java Programming Elasticsearch from Python Programming Section 4: Elastic Stack
Using Kibana, Logstash, and Beats Working with Elasticsearch SQL Working with Elasticsearch Analysis Plugins Section 5: Advanced Features
Machine Learning with Elasticsearch Spark and Elasticsearch for Real-Time Analytics Building Analytics RESTful Services Other Books You May Enjoy

Monitoring indices

Basically, index-centric statistics report aggregated data from different physical machines that are running in different environments. Monitoring such statistics seems less helpful when compared to node statistics or cluster statistics. Let's take a quick look at four different APIs.

Indices stats

It is useful to see statistics from the indices stats API, _stats. You can get an answer such as the number of search requests in terms of the specific index received, the total time to fetch documents in that index, or identify the hot indices inside your cluster. Let's take a look at cf_view. As shown in the response body of the following screenshot, the result reports two aggregations, which are primaries...

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