Elasticsearch - The Definitive Guide CN
Introduction 本书简介
1 Foreword 前言
2 Preface 序
2.1 Who Should Read This Book
2.2 Why We Wrote This Book
2.3 Elasticsearch Version
2.4 How to Read This Book
2.5 Navigating This Book
2.6 Online Resources
2.7 Conventions Used in This Book
2.8 Using Code Examples
2.9 Acknowledgments
3 Getting Started 基础入门
3.1 You Know, for Search… 关于搜索...
3.1.1 Installing and Running Elasticsearch
3.1.2 Talking to Elasticsearch
3.1.3 Document Oriented
3.1.4 Finding Your Feet
3.1.5 Indexing Employee Documents
3.1.6 Retrieving a Document
3.1.7 Search Lite
3.1.8 Search with Query DSL
3.1.9 More-Complicated Searches
3.1.10 Full-Text Search
3.1.11 Phrase Search
3.1.12 Highlighting Our Searches
3.1.13 Analytics
3.1.14 Tutorial Conclusion
3.1.15 Distributed Nature
3.1.16 Next Steps
3.2 Life Inside a Cluster
3.2.1 An Empty Cluster
3.2.2 Cluster Health
3.2.3 Add an Index
3.2.4 Add Failover
3.2.5 Scale Horizontally
3.2.6 Coping with Failure
3.3 Data In, Data Out
3.3.1 What Is a Document?
3.3.2 Document Metadata
3.3.3 Indexing a Document
3.3.4 Retrieving a Document
3.3.5 Checking Whether a Document Exists
3.3.6 Updating a Whole Document
3.3.7 Creating a New Document
3.3.8 Deleting a Document
3.3.9 Dealing with Conflicts
3.3.10 Optimistic Concurrency Control
3.3.11 Partial Updates to Documents
3.3.12 Retrieving Multiple Documents
3.3.13 Cheaper in Bulk
3.4 Distributed Document Store
3.4.1 Routing a Document to a Shard
3.4.2 How Primary and Replica Shards Interact
3.4.3 Creating, Indexing, and Deleting a Document
3.4.4 Retrieving a Document
3.4.5 Partial Updates to a Document
3.4.6 Multidocument Patterns
3.5 Searching—The Basic Tools
3.5.1 The Empty Search
3.5.2 Multi-index, Multitype
3.5.3 Pagination
3.5.4 Search Lite
3.6 Mapping and Analysis
3.6.1 Exact Values Versus Full Text
3.6.2 Inverted Index
3.6.3 Analysis and Analyzers
3.6.4 Mapping
3.6.5 Complex Core Field Types
3.7 Full-Body Search
3.7.1 Empty Search
3.7.2 Query DSL
3.7.3 Queries and Filters
3.7.4 Most Important Queries
3.7.5 Combining queries together
3.7.6 Validating Queries
3.8 Sorting and Relevance
3.8.1 Sorting
3.8.2 String Sorting and Multifields
3.8.3 What Is Relevance?
3.8.4 Doc Values Intro
3.9 Distributed Search Execution
3.9.1 Query Phase
3.9.2 Fetch Phase
3.9.3 Search Options
3.9.4 Scroll
3.10 Index Management
3.10.1 Creating an Index
3.10.2 Deleting an Index
3.10.3 Index Settings
3.10.4 Configuring Analyzers
3.10.5 Custom Analyzers
3.10.6 Types and Mappings
3.10.7 The Root Object
3.10.8 Dynamic Mapping
3.10.9 Customizing Dynamic Mapping
3.10.10 Default Mapping
3.10.11 Reindexing Your Data
3.10.12 Index Aliases and Zero Downtime
3.11 Inside a Shard
3.11.1 Making Text Searchable
3.11.2 Dynamically Updatable Indices
3.11.3 Near Real-Time Search
3.11.4 Making Changes Persistent
3.11.5 Segment Merging
4 Search in Depth 搜索进阶
4.1 Structured Search
4.1.1 Finding Exact Values
4.1.2 Combining Filters
4.1.3 Finding Multiple Exact Values
4.1.4 Ranges
4.1.5 Dealing with Null Values
4.1.6 All About Caching
4.2 Full-Text Search
4.2.1 Term-Based Versus Full-Text
4.2.2 The match Query
4.2.3 Multiword Queries
4.2.4 Combining Queries
4.2.5 How match Uses bool
4.2.6 Boosting Query Clauses
4.2.7 Controlling Analysis
4.2.8 Relevance Is Broken!
4.3 Multifield Search 跨字段搜索
4.3.1 Multiple Query Strings 多个查询关键词
4.3.2 Single Query String 单个查询关键词
4.3.3 Best Fields 最优字段查询
4.3.4 Tuning Best Fields Queries 对最优字段查询进行微调
4.3.5 multi_match Query multi_match查询
4.3.6 Most Fields 最多字段查询
4.3.7 Cross-fields Entity Search 对跨字段型实体进行搜索
4.3.8 Field-Centric Queries 围绕字段来进行查询
4.3.9 Custom _all Fields 定制你自己的 _all 字段
4.3.10 cross-fields Queries cross-fields查询
4.3.11 Exact-Value Fields 当涉及到 Exact-Value 型字段时
4.4 Proximity Matching
4.4.1 Phrase Matching
4.4.2 Mixing It Up
4.4.3 Multivalue Fields
4.4.4 Closer Is Better
4.4.5 Proximity for Relevance
4.4.6 Improving Performance
4.4.7 Finding Associated Words
4.5 Partial Matching 部分匹配
4.5.1 Postcodes and Structured Data
4.5.2 prefix Query
4.5.3 wildcard and regexp Queries
4.5.4 Query-Time Search-as-You-Type
4.5.5 Index-Time Optimizations
4.5.6 Ngrams for Partial Matching
4.5.7 Index-Time Search-as-You-Type
4.5.8 Ngrams for Compound Words
4.6 Controlling Relevance 手动排序
4.6.1 Theory Behind Relevance Scoring
4.6.2 Lucene’s Practical Scoring Function
4.6.3 Query-Time Boosting
4.6.4 Manipulating Relevance with Query Structure
4.6.5 Not Quite Not
4.6.6 Ignoring TF/IDF
4.6.7 function_score Query
4.6.8 Boosting by Popularity
4.6.9 Boosting Filtered Subsets
4.6.10 Random Scoring
4.6.11 The Closer, The Better
4.6.12 Understanding the price Clause
4.6.13 Scoring with Scripts
4.6.14 Pluggable Similarity Algorithms
4.6.15 Changing Similarities
4.6.16 Relevance Tuning Is the Last 10%
5 Dealing with Human Language 处理人类语言
5.1 Getting Started with Languages 入门知识
5.1.1 Using Language Analyzers 使用语言解析器
5.1.2 Configuring Language Analyzers 配置语言解析器
5.1.3 Pitfalls of Mixing Languages 多语言的坑
5.1.4 One Language per Document 单个文档对应一门主语言
5.1.5 One Language per Field 单个字段对应一门主语言
5.1.6 Mixed-Language Fields 单个字段对应多门语言
5.2 Identifying Words 识别字词
5.2.1 standard Analyzer 标准解析器
5.2.2 standard Tokenizer 标准分词器
5.2.3 Installing the ICU Plug-in 安装 ICU 插件
5.2.4 icu_tokenizer icu 分词器
5.2.5 Tidying Up Input Text 优化输入的文本
5.3 Normalizing Tokens 规范化词元
5.3.1 In That Case
5.3.2 You Have an Accent
5.3.3 Living in a Unicode World
5.3.4 Unicode Case Folding
5.3.5 Unicode Character Folding
5.3.6 Sorting and Collations
5.4 Reducing Words to Their Root Form
5.4.1 Algorithmic Stemmers
5.4.2 Dictionary Stemmers
5.4.3 Hunspell Stemmer
5.4.4 Choosing a Stemmer
5.4.5 Controlling Stemming
5.4.6 Stemming in situ
5.5 Stopwords: Performance Versus Precision
5.5.1 Pros and Cons of Stopwords
5.5.2 Using Stopwords
5.5.3 Stopwords and Performance
5.5.4 Divide and Conquer
5.5.5 Stopwords and Phrase Queries
5.5.6 common_grams Token Filter
5.5.7 Stopwords and Relevance
5.6 Synonyms 同义词
5.6.1 Using Synonyms 使用同义词
5.6.2 Formatting Synonyms 同义词规则的书写格式
5.6.3 Expand or contract 拓展还是收缩
5.6.4 Synonyms and The Analysis Chain 同义词与解析器链
5.6.5 Multiword Synonyms and Phrase Queries 多词同义与短语查询
5.6.6 Symbol Synonyms 符号同义词
5.7 Typoes and Mispelings 拼写错误
5.7.1 Fuzziness 怎么判断是否存在拼写错误
5.7.2 Fuzzy Query 模糊查询
5.7.3 Fuzzy match Query
5.7.4 Scoring Fuzziness
5.7.5 Phonetic Matching
6 Aggregations 聚合
6.1 High-Level Concepts 相关概念
6.1.1 Buckets 统计对象
6.1.2 Metrics 统计规则
6.1.3 Combining the Two 总结
Aggregation Test-Drive
Building Bar Charts
Looking at Time
Scoping Aggregations
Filtering Queries and Aggregations
Sorting Multivalue Buckets
Approximate Aggregations
Significant Terms
Doc Values and Fielddata
Closing Thoughts
7 Geolocation
Geo Points
Geohashes
Geo Aggregations
Geo Shapes
8 Modeling Your Data
Handling Relationships
Nested Objects
Parent-Child Relationship
Designing for Scale
9 Administration, Monitoring, and Deployment
Monitoring
Production Deployment
Post-Deployment
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8 Modeling Your Data
8 Modeling Your Data
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