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

Indexing sample documents

You will recall that we have introduced 314 exchange-traded funds (ETFs) provided by TD Ameritrade. We are going to index those documents in this chapter. In our GitHub repository (https://github.com/PacktPublishing/Mastering-Elasticsearch-7.0/tree/master/Chapter6), you can download two files, cf_etf_list_bulk.json and cf_etf_list_bulk_index.sh. You need to make the bash file runnable and then you can run it to index those documents. The commands to issue are specified here. Before you issue the following command, make sure your cf_etf index is recreated with the static mappings and the custom analyzer. If not, delete the index and recreate it:

$chmod +x cf_etf_list_bulk_index.sh
$./cf_etf_list_bulk_index.sh

After the command runs successfully, we can use the Postman API to issue the count API to verify the number of indexed documents. The total number...