In this chapter, you’ll learn how to manage indices in Elasticsearch. Until this chapter, you learned about operating on a single document. In this chapter, you’ll learn about the various APIs Elasticsearch has to offer to support bulk operations. They can be very effective when its comes to rebuilding the entire index or batching requests together in a single call. Due to how the data in stored internally in Elasticsearch, the number of shards or the mapping of the fields cannot be changed after the index creation. You'll learn about Reindex API, which can rebuild the index with the correct settings. Using Elasticsearch for time-based data is a very common usage pattern. We will discuss different ways to manage time-based indices. By the end of this chapter, we will have covered the following...
Learning Elasticsearch
By :
Learning Elasticsearch
By:
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.
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Current Title:
Learning Elasticsearch
Table of Contents (11 chapters)
Preface
Free Chapter
Introduction to Elasticsearch
Setting Up Elasticsearch and Kibana
Modeling Your Data and Document Relations
Indexing and Updating Your Data
Organizing Your Data and Bulk Data Ingestion
All About Search
More Than a Search Engine (Geofilters, Autocomplete, and More)
How to Slice and Dice Your Data Using Aggregations
Production and Beyond
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)
Customer Reviews