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Elasticsearch server : leverage Elasticsearch to create a robust, fast and flexible search solution with ease /
Leverage Elasticsearch to create a robust, fast, and flexible search solution with easeAbout This Book Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents Deep dive into the world of data aggregation and data analysi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2016.
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| Edición: | Third edition. |
| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Elasticsearch Cluster; Chapter 2: Indexing Your Data; Chapter 3: Searching Your Data; Chapter 4: Extending Your Querying Knowledge; Chapter 5: Extending Your Index Structure; Chapter 6: Make Your Search Better; Chapter 7: Aggregations for Data Analysis; Chapter 8: Beyond Full-text Searching; Chapter 9: Elasticsearch Cluster in Detail; Chapter 10: Administrating Your Cluster; Chapter 11: Scaling by Example; Index; Full text searching
- The basics of ElasticsearchInstalling and configuring your cluster; Manipulating data with the REST API; Searching with the URI request query; Summary; Elasticsearch indexing; Mappings configuration; Batch indexing to speed up your indexing process; Introduction to segment merging; Introduction to routing; Summary; Querying Elasticsearch; Understanding the querying process; Basic queries; Compound queries; Using span queries; Choosing the right query; Summary; Filtering your results; Highlighting; Validating your queries; Sorting data; Query rewrite; Summary; Indexing tree-like structures
- Indexing data that is not flatUsing nested objects; Using the parent-child relationship; Modifying your index structure with the update API; Summary; Introduction to Apache Lucene scoring; Scripting capabilities of Elasticsearch; Searching content in different languages; Influencing scores with query boosts; When does index-time boosting make sense?; Words with the same meaning; Understanding the explain information; Summary; Aggregations; Aggregation types; Pipeline aggregations; Summary; Percolator; Elasticsearch spatial capabilities; Using suggesters; The Scroll API; Summary
- Understanding node discoveryThe gateway and recovery modules; Templates and dynamic templates; Elasticsearch plugins; Elasticsearch caches; The update settings API; Summary; Elasticsearch time machine; Monitoring your cluster's state and health; Controlling the shard and replica allocation; Controlling cluster rebalancing; The Cat API; Warming up; Index aliasing and using it to simplify your everyday work; Summary; Hardware; Preparing a single Elasticsearch node; Horizontal expansion; Preparing the cluster for high indexing and querying throughput; Monitoring; Summary
- The Lucene glossary and architectureInput data analysis; Indexing and querying; Scoring and query relevance; Key concepts of Elasticsearch; Key concepts of the Elasticsearch infrastructure; Indexing and searching; Installing Java; Installing Elasticsearch; Running Elasticsearch; Shutting down Elasticsearch; The directory layout; Configuring Elasticsearch; The system-specific installation and configuration; Understanding the REST API; Storing data in Elasticsearch; Retrieving documents; Updating documents; Deleting documents; Versioning; Sample data; URI search; Query analysis