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ElasticSearch Server.
This book is a detailed, practical, hands-on guide packed with real-life scenarios and examples which will show you how to implement an ElasticSearch search engine on your own websites. If you are a web developer or a user who wants to learn more about ElasticSearch, then this is the book for you. Y...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2014.
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| Edición: | 2nd ed. |
| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Author; Acknowledgments; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started With the Elasticsearch Cluster; Full text searching; The Lucene glossary and architecture; Input data analysis; Indexing and querying; Scoring and query relevance; The basics of Elasticsearch; Key concepts of data architecture; Index; Document; Document type; Mapping; Key concepts of Elasticsearch; Node and cluster; Shard; Replica; Gateway; Indexing and searching; Installing and configuring your cluster.
- Installing JavaInstalling Elasticsearch; Installing Elasticsearch from binary packages on Linux; Installing Elasticsearch using the RPM package; Installing Elasticsearch using the DEB package; The directory layout; Configuring Elasticsearch; Running Elasticsearch; Shutting down Elasticsearch; Running Elasticsearch as a system service; Elasticsearch as a system service on Linux; Elasticsearch as a system service on Windows; Manipulating data with the REST API; Understanding the Elasticsearch RESTful API; Storing data in Elasticsearch; Creating a new document; Automatic identifier creation.
- Retrieving documentsUpdating documents; Deleting documents; Versioning; An example of versioning; Using the version provided by external system; Searching with the URI request query; Sample data; The URI request; The ElasticSearch query response; Query analysis; URI query string parameters; The Lucene query syntax; Summary; Chapter 2: Indexing Your Data; Elasticsearch indexing; Shards and replicas; Creating indices; Altering automatic index creation; Settings for a newly created index; Mappings configuration; Type determining mechanism; Disabling field type guessing; Index structure mapping.
- Type definitionFields; Core types; Multifields; The IP address type; Token count type; Using analyzers; Different similarity models; Setting per-field similarity; Available similarity models; Postings format; Configuring the postings format; Doc values; Configuring the doc values; Doc values formats; Batch indexing to speed up your indexing process; Preparing data for bulk indexing; Indexing the data; Even quicker bulk requests; Extending your index structure with additional internal information; Identifier fields; The _type field; The _all field; The _source field; Exclusion and inclusion.
- The _index fieldThe _size field; The _timestamp field; The _ttl field; Introduction to segment merging; Segment merging; The need for segment merging; The merge policy; The merge scheduler; The merge factor; Throttling; Introduction to routing; Default indexing; Default searching; Routing; The routing parameters; Routing fields; Summary; Chapter 3: Searching Your Data; Querying Elasticsearch; The example data; A simple query; Paging and result size; Returning the version value; Limiting the score; Choosing the fields that we want to return; The partial fields; Using the script fields.