Book Image

Learning Elasticsearch

By : Abhishek Andhavarapu
Book Image

Learning Elasticsearch

By: Abhishek Andhavarapu

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Table of Contents (11 chapters)
10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Reindex API

Before Elasticsearch 5.0, to change the index settings, or change the mapping of an index, you have a create a new index and reindex the data. Reindexing a large index is usually lot of work, which involves reading the data from the source like a SQL database, transforming the data into Elasticsearch documents and loading the data into Elasticsearch. For large applications, batch processing engines such as Hadoop are used to reindex the data. Depending on how big the index is or how complicated the ETL (Extract, Transform, Load) process is, reindex can be very expensive. To solve this, Reindex API was introduced. The original JSON document used for indexing is stored in the _source field which can be used by the Reindex API to reindex the documents. The Reindex API can be used for the following:

  • To change the mapping/settings of an existing index
  • To combine documents...