- Elasticsearch Essentials
- Table of Contents
- Elasticsearch Essentials
- Credits
- About the Author
- Acknowledgments
- About the Reviewer
- www.PacktPub.com
- Preface
- 1. Getting Started with Elasticsearch
- Introducing Elasticsearch
- Installing and configuring Elasticsearch
- Basic operations with Elasticsearch
- Summary
- 2. Understanding Document Analysis and Creating Mappings
- 3. Putting Elasticsearch into Action
- CRUD operations using elasticsearch-py
- CRUD operations using Java
- Creating a search database
- Elasticsearch Query-DSL
- Understanding Query-DSL parameters
- Search requests using Python
- Search requests using Java
- Sorting your data
- Document routing
- Summary
- 4. Aggregations for Analytics
- 5. Data Looks Better on Maps: Master Geo-Spatiality
- 6. Document Relationships in NoSQL World
- 7. Different Methods of Search and Bulk Operations
- 8. Controlling Relevancy
- 9. Cluster Scaling in Production Deployments
- Node types in Elasticsearch
- Introducing Zen-Discovery
- Multicasting discovery
- Unicasting discovery
- Configuring unicasting discovery
- Minimum number of master nodes: preventing split-brain
- 10. Backups and Security
- Index
- Configuring unicasting discovery
In this chapter, you learned how to use Python and Java clients for Elasticsearch and perform CRUD operations using it. We also covered Elasticsearch Query-DSL, various queries, and data sorting techniques in this chapter.
In the next chapter, we will take a deep dive into the Elasticsearch aggregation framework.
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