Elasticsearch: A Guide Elasticsearch

Elasticsearch%20-%20A%20%20Guide

User Manual:

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Cover
Copyright
Credits
Preface
Table of Content
Module 1
Chapter 1: Getting Started with Elasticsearch
- Introducing Elasticsearch
- Installing and configuring Elasticsearch
- Basic operations with Elasticsearch
- Summary
Chapter 2: Understanding Document Analysis and Creating Mappings
- Text search
- Document analysis
- Elasticsearch mapping
- Summary
Chapter 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
Chapter 4: Aggregations for Analytics
- Introducing the aggregation framework
- Metric aggregations
- Bucket aggregations
- Combining search, buckets, and metrics
- Memory pressure and implications
- Summary
Chapter 5: Data Looks Better on Maps: Master Geo-Spatiality
- Introducing geo-spatial data
- Working with geo-point data
- Geo-aggregations
- Geo-shapes
- Summary
Chapter 6: Document Relationships in NoSQL World
- Relational data in the document-oriented NoSQL world
- Working with nested objects
- Parent-child relationships
- Considerations for using document relationships
- Summary
Chapter 7: Different Methods of Search and Bulk Operations
- Introducing search types in Elasticsearch
- Cheaper bulk operations
- Multi get and multi search APIs
- Data pagination
- Practical considerations for bulk processing
- Summary
Chapter 8: Controlling Relevancy
- Introducing relevant searches
- The Elasticsearch out-of-the-box tools
- Controlling relevancy with custom scoring
- Summary
Chapter 9: Cluster Scaling in Production Deployments
- Node types in Elasticsearch
- Introducing Zen-Discovery
- Node upgrades without downtime
- Upgrading Elasticsearch version
- Best Elasticsearch practices in production
- Creating a cluster
- Scaling your clusters
- Summary
Chapter 10: Backups and Security
- Introducing backup and restore mechanisms
- Securing Elasticsearch
- Summary
Module 2
Chapter 1: Introduction to Elasticsearch
- Introducing Apache Lucene
- Introducing Elasticsearch
- The story
- Summary
Chapter 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
- Summary
Chapter 3: Not Only Full Text Search
- Query rescoring
- Controlling multimatching
- Significant terms aggregation
- Documents grouping
- Relations between documents
- Scripting changes between Elasticsearch versions
- Summary
Chapter 4: Improving the User Search Experience
- Correcting user spelling mistakes
- Improving the query relevance
- Summary
Chapter 5: The Index Distribution Architecture
- Choosing the right amount of shards and replicas
- Routing explained
- Altering the default shard allocation behavior
- Query execution preference
- Summary
Chapter 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
- Summary
Chapter 7: Elasticsearch Administration
- Discovery and recovery modules
- The human-friendly status API – using the Cat API
- Backing up
- Federated search
- Summary
Chapter 8: Improving Performance
- Using doc values to optimize your queries
- Knowing about garbage collector
- Benchmarking queries
- Very hot threads
- Scaling Elasticsearch
- Summary
Chapter 9: Developing Elasticsearch Plugins
- Creating the Apache Maven project structure
- Understanding the basics
- Creating custom REST action
- Creating the custom analysis plugin
- Summary
Module 3
Chapter 1: Introduction to ELK Stack
- The need for log analysis
- Challenges in log analysis
- The ELK Stack
- ELK data pipeline
- ELK Stack installation
- Summary
Chapter 2: Building Your First Data Pipeline with ELK
- Input dataset
- Configuring Logstash input
- Filtering and processing input
- Putting data to Elasticsearch
- Visualizing with Kibana
- Summary
Chapter 3: Collect, Parse and Transform Data with Logstash
- Configuring Logstash
- Logstash plugins
- Summary
Chapter 4: Creating Custom Logstash Plugins
- Logstash plugin management
- Plugin lifecycle management
- Structure of a Logstash plugin
- Summary
Chapter 5: Why Do We Need Elasticsearch in ELK?
- Why Elasticsearch?
- Elasticsearch basic concepts
- Document
- Exploring the Elasticsearch API
- Elasticsearch Query DSL
- Elasticsearch plugins
- Summary
Chapter 6: Finding Insights with Kibana
- Kibana 4 features
- Kibana interface
- Summary
Chapter 7: Kibana – Visualization and Dashboard
- Visualize page
- Dashboard page
- Summary
Chapter 8: Putting It All Together
- Input dataset
- Configuring Logstash input
- Visualizing with Kibana
- Summary
Chapter 9: ELK Stack in Production
- Prevention of data loss
- Data protection
- System scalability
- Data retention
- ELK Stack implementations
- ELK at SCA
- ELK at Cliffhanger Solutions
- Kibana demo – Packetbeat dashboard
- Summary
Chapter 10: Expanding Horizons with ELK
- Elasticsearch plugins and utilities
- ELK roadmap
- Summary
Bibliography

Elasticsearch: A Guide Elasticsearch

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