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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Batch indexing to speed up your indexing process

In Chapter 1, Getting Started with Elasticsearch Cluster, we saw how to index a particular document into Elasticsearch. It required opening an HTTP connection, sending the document, and closing the connection. Of course, we were not responsible for most of that as we used the curl command, but in the background this is what happened. However, sending the documents one by one is not efficient. Because of that, it is now time to find out how to index a large number of documents in a more convenient and efficient way than doing so one by one.

Preparing data for bulk indexing

Elasticsearch allows us to merge many requests into one package. This package can be sent as a single request. What's more, we are not limited to having a single type of request in the so called bulk – we can mix different types of operations together, which include:

  • Adding or replacing the existing documents in the index (index)
  • Removing documents from the index...
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