• Elasticsearch - The Definitive Guide: master2.x1.x
• Foreword
• Preface
  • Who Should Read This Book
  • Why We Wrote This Book
  • Elasticsearch Version
  • How to Read This Book
  • Navigating This Book
  • Online Resources
  • Conventions Used in This Book
  • Using Code Examples
  • Acknowledgments
• Getting Started
  • You Know, for Search…​
    • Installing Elasticsearch
    • Running Elasticsearch
    • Talking to Elasticsearch
    • Document Oriented
    • Finding Your Feet
    • Indexing Employee Documents
    • Retrieving a Document
    • Search Lite
    • Search with Query DSL
    • More-Complicated Searches
    • Full-Text Search
    • Phrase Search
    • Highlighting Our Searches
    • Analytics
    • Tutorial Conclusion
    • Distributed Nature
    • Next Steps
  • Life Inside a Cluster
    • An Empty Cluster
    • Cluster Health
    • Add an Index
    • Add Failover
    • Scale Horizontally
    • Coping with Failure
  • Data In, Data Out
    • What Is a Document?
    • Document Metadata
    • Indexing a Document
    • Retrieving a Document
    • Checking Whether a Document Exists
    • Updating a Whole Document
    • Creating a New Document
    • Deleting a Document
    • Dealing with Conflicts
    • Optimistic Concurrency Control
    • Partial Updates to Documents
    • Retrieving Multiple Documents
    • Cheaper in Bulk
  • Distributed Document Store
    • Routing a Document to a Shard
    • How Primary and Replica Shards Interact
    • Creating, Indexing, and Deleting a Document
    • Retrieving a Document
    • Partial Updates to a Document
    • Multidocument Patterns
  • Searching—​The Basic Tools
    • The Empty Search
    • Multi-index, Multitype
    • Pagination
    • Search Lite
  • Mapping and Analysis
    • Exact Values Versus Full Text
    • Inverted Index
    • Analysis and Analyzers
    • Mapping
    • Complex Core Field Types
  • Full-Body Search
    • Empty Search
    • Query DSL
    • Queries and Filters
    • Most Important Queries and Filters
    • Combining Queries with Filters
    • Validating Queries
  • Sorting and Relevance
    • Sorting
    • String Sorting and Multifields
    • What Is Relevance?
    • Fielddata
  • Distributed Search Execution
    • Query Phase
    • Fetch Phase
    • Search Options
    • scan and scroll
  • Index Management
    • Creating an Index
    • Deleting an Index
    • Index Settings
    • Configuring Analyzers
    • Custom Analyzers
    • Types and Mappings
    • The Root Object
    • Dynamic Mapping
    • Customizing Dynamic Mapping
    • Default Mapping
    • Reindexing Your Data
    • Index Aliases and Zero Downtime
  • Inside a Shard
    • Making Text Searchable
    • Dynamically Updatable Indices
    • Near Real-Time Search
    • Making Changes Persistent
    • Segment Merging
• Search in Depth
  • Structured Search
    • Finding Exact Values
    • Combining Filters
    • Finding Multiple Exact Values
    • Ranges
    • Dealing with Null Values
    • All About Caching
    • Filter Order
  • Full-Text Search
    • Term-Based Versus Full-Text
    • The match Query
    • Multiword Queries
    • Combining Queries
    • How match Uses bool
    • Boosting Query Clauses
    • Controlling Analysis
    • Relevance Is Broken!
  • Multifield Search
    • Multiple Query Strings
    • Single Query String
    • Best Fields
    • Tuning Best Fields Queries
    • multi_match Query
    • Most Fields
    • Cross-fields Entity Search
    • Field-Centric Queries
    • Custom _all Fields
    • cross-fields Queries
    • Exact-Value Fields
  • Proximity Matching
    • Phrase Matching
    • Mixing It Up
    • Multivalue Fields
    • Closer Is Better
    • Proximity for Relevance
    • Improving Performance
    • Finding Associated Words
  • Partial Matching
    • Postcodes and Structured Data
    • prefix Query
    • wildcard and regexp Queries
    • Query-Time Search-as-You-Type
    • Index-Time Optimizations
    • Ngrams for Partial Matching
    • Index-Time Search-as-You-Type
    • Ngrams for Compound Words
  • Controlling Relevance
    • Theory Behind Relevance Scoring
    • Lucene’s Practical Scoring Function
    • Query-Time Boosting
    • Manipulating Relevance with Query Structure
    • Not Quite Not
    • Ignoring TF/IDF
    • function_score Query
    • Boosting by Popularity
    • Boosting Filtered Subsets
    • Random Scoring
    • The Closer, The Better
    • Understanding the price Clause
    • Scoring with Scripts
    • Pluggable Similarity Algorithms
    • Changing Similarities
    • Relevance Tuning Is the Last 10%
• Dealing with Human Language
  • Getting Started with Languages
    • Using Language Analyzers
    • Configuring Language Analyzers
    • Pitfalls of Mixing Languages
    • One Language per Document
    • One Language per Field
    • Mixed-Language Fields
  • Identifying Words
    • standard Analyzer
    • standard Tokenizer
    • Installing the ICU Plug-in
    • icu_tokenizer
    • Tidying Up Input Text
  • Normalizing Tokens
    • In That Case
    • You Have an Accent
    • Living in a Unicode World
    • Unicode Case Folding
    • Unicode Character Folding
    • Sorting and Collations
  • Reducing Words to Their Root Form
    • Algorithmic Stemmers
    • Dictionary Stemmers
    • Hunspell Stemmer
    • Choosing a Stemmer
    • Controlling Stemming
    • Stemming in situ
  • Stopwords: Performance Versus Precision
    • Pros and Cons of Stopwords
    • Using Stopwords
    • Stopwords and Performance
    • Divide and Conquer
    • Stopwords and Phrase Queries
    • common_grams Token Filter
    • Stopwords and Relevance
  • Synonyms
    • Using Synonyms
    • Formatting Synonyms
    • Expand or contract
    • Synonyms and The Analysis Chain
    • Multiword Synonyms and Phrase Queries
    • Symbol Synonyms
  • Typoes and Mispelings
    • Fuzziness
    • Fuzzy Query
    • Fuzzy match Query
    • Scoring Fuzziness
    • Phonetic Matching
• Aggregations
  • High-Level Concepts
    • Buckets
    • Metrics
    • Combining the Two
  • Aggregation Test-Drive
    • Adding a Metric to the Mix
    • Buckets Inside Buckets
    • One Final Modification
  • Building Bar Charts
  • Looking at Time
    • Returning Empty Buckets
    • Extended Example
    • The Sky’s the Limit
  • Scoping Aggregations
  • Filtering Queries and Aggregations
    • Filtered Query
    • Filter Bucket
    • Post Filter
    • Recap
  • Sorting Multivalue Buckets
    • Intrinsic Sorts
    • Sorting by a Metric
    • Sorting Based on "Deep" Metrics
  • Approximate Aggregations
    • Finding Distinct Counts
    • Calculating Percentiles
  • Significant Terms
    • significant_terms Demo
  • Controlling Memory Use and Latency
    • Fielddata
    • Aggregations and Analysis
    • Limiting Memory Usage
    • Fielddata Filtering
    • Doc Values
    • Preloading Fielddata
    • Preventing Combinatorial Explosions
  • Closing Thoughts
• Geolocation
  • Geo Points
    • Lat/Lon Formats
    • Filtering by Geo Point
    • Geo Bounding Box Filter
    • Geo Distance Filter
    • Caching Geo Filters
    • Reducing Memory Usage
    • Sorting by Distance
  • Geohashes
    • Mapping Geohashes
    • Geohash Cell Filter
  • Geo Aggregations
    • Geo Distance Aggregation
    • Geohash Grid Aggregation
    • Geo Bounds Aggregation
  • Geo Shapes
    • Mapping Geo Shapes
    • Indexing Geo Shapes
    • Querying Geo Shapes
    • Querying with Indexed Shapes
    • Geo Shape Filters and Caching
• Modeling Your Data
  • Handling Relationships
    • Application-side Joins
    • Denormalizing Your Data
    • Field Collapsing
    • Denormalization and Concurrency
    • Solving Concurrency Issues
  • Nested Objects
    • Nested Object Mapping
    • Querying a Nested Object
    • Sorting by Nested Fields
    • Nested Aggregations
  • Parent-Child Relationship
    • Parent-Child Mapping
    • Indexing Parents and Children
    • Finding Parents by Their Children
    • Finding Children by Their Parents
    • Children Aggregation
    • Grandparents and Grandchildren
    • Practical Considerations
  • Designing for Scale
    • The Unit of Scale
    • Shard Overallocation
    • Kagillion Shards
    • Capacity Planning
    • Replica Shards
    • Multiple Indices
    • Time-Based Data
    • Index Templates
    • Retiring Data
    • User-Based Data
    • Shared Index
    • Faking Index per User with Aliases
    • One Big User
    • Scale Is Not Infinite
• Administration, Monitoring, and Deployment
  • Monitoring
    • Marvel for Monitoring
    • Cluster Health
    • Monitoring Individual Nodes
    • Cluster Stats
    • Index Stats
    • Pending Tasks
    • cat API
  • Production Deployment
    • Hardware
    • Java Virtual Machine
    • Transport Client Versus Node Client
    • Configuration Management
    • Important Configuration Changes
    • Don’t Touch These Settings!
    • Heap: Sizing and Swapping
    • File Descriptors and MMap
    • Revisit This List Before Production
  • Post-Deployment
    • Changing Settings Dynamically
    • Logging
    • Indexing Performance Tips
    • Rolling Restarts
    • Backing Up Your Cluster
    • Restoring from a Snapshot
    • Clusters Are Living, Breathing Creatures