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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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Toc

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)

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...
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