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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Organizing Your Data and Bulk Data Ingestion

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...

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