Elasticsearch: A Complete Guide
by Saurabh Chhajed, Marek Rogoziński, Rafał Kuć, Bharvi Dixit
Elasticsearch: A Complete Guide
- Elasticsearch: A Complete Guide
- Table of Contents
- Elasticsearch: A Complete Guide
- Elasticsearch: A Complete Guide
- Credits
- Preface
- 1. Module 1
- 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
- II. Module 2
- 1. Introduction to Elasticsearch
- 2. Power User Query DSL
- Default Apache Lucene scoring explained
- Query rewrite explained
- Query templates
- Handling filters and why it matters
- Choosing the right query for the job
- Query categorization
- The use cases
- Summary
- 3. Not Only Full Text Search
- Query rescoring
- Controlling multimatching
- Significant terms aggregation
- Documents grouping
- Relations between documents
- Scripting changes between Elasticsearch versions
- Summary
- 4. Improving the User Search Experience
- Correcting user spelling mistakes
- Improving the query relevance
- Summary
- 5. The Index Distribution Architecture
- 6. Low-level Index Control
- Altering Apache Lucene scoring
- Choosing the right directory implementation – the store module
- NRT, flush, refresh, and transaction log
- Segment merging under control
- When it is too much for I/O – throttling explained
- Understanding Elasticsearch caching
- The filter cache
- The field data cache
- The shard query cache
- Using circuit breakers
- Clearing the caches
- Index, indices, and all caches clearing
- Summary
- 7. Elasticsearch Administration
- Discovery and recovery modules
- The human-friendly status API – using the Cat API
- Backing up
- Federated search
- Summary
- 8. Improving Performance
- Using doc values to optimize your queries
- Knowing about garbage collector
- Benchmarking queries
- Very hot threads
- Scaling Elasticsearch
- Vertical scaling
- Horizontal scaling
- Using Elasticsearch for high load scenarios
- Summary
- 9. Developing Elasticsearch Plugins
- Creating the Apache Maven project structure
- Understanding the basics
- Creating custom REST action
- Creating the custom analysis plugin
- Implementation details
- Implementing TokenFilter
- Implementing the TokenFilter factory
- Implementing the class custom analyzer
- Implementing the analyzer provider
- Implementing the analysis binder
- Implementing the analyzer indices component
- Implementing the analyzer module
- Implementing the analyzer plugin
- Informing Elasticsearch about our custom analyzer
- Testing our custom analysis plugin
- Implementation details
- Summary
- III. Module 3
- 1. Introduction to ELK Stack
- The need for log analysis
- Challenges in log analysis
- The ELK Stack
- ELK data pipeline
- ELK Stack installation
- Installing Elasticsearch
- Running Elasticsearch
- Elasticsearch configuration
- Elasticsearch plugins
- Installing Logstash
- Running Logstash
- Logstash with file input
- Logstash with Elasticsearch output
- Configuring Logstash
- Installing Logstash forwarder
- Logstash plugins
- Installing Kibana
- Configuring Kibana
- Running Kibana
- Kibana interface
- Summary
- 2. Building Your First Data Pipeline with ELK
- 3. Collect, Parse and Transform Data with Logstash
- Configuring Logstash
- Logstash plugins
- Summary
- 4. Creating Custom Logstash Plugins
- 5. Why Do We Need Elasticsearch in ELK?
- 6. Finding Insights with Kibana
- 7. Kibana – Visualization and Dashboard
- 8. Putting It All Together
- 9. ELK Stack in Production
- 10. Expanding Horizons with ELK
- A. Bibliography
- 1. Introduction to ELK Stack
- Index
- Configuring unicasting discovery
- 1. Getting Started with Elasticsearch
-
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