In this chapter, we looked at some memory configuration, mapping definition tips, and segments and merging policies. Then, we examined store modules and how to throttle disk I/O operations. Finally, we discussed the bulk API. In the next chapter, we will examine the snapshot and restore modules; this API provides backup and restore operations on your data.
Elasticsearch Indexing
By :
Elasticsearch Indexing
By:
Overview of this book
Beginning with an overview of the way ElasticSearch stores data, you’ll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users’ needs. You’ll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You’ll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you’ve learned how these elements work, you’ll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you’ve learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect.
Table of Contents (15 chapters)
Elasticsearch Indexing
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Introduction to Efficient Indexing
What is an Elasticsearch Index
Basic Concepts of Mapping
Analysis and Analyzers
Anatomy of an Elasticsearch Cluster
Improving Indexing Performance
Snapshot and Restore
Improving the User Search Experience
Index
Customer Reviews