Elasticsearch server create a fast, scalable, and flexible search solution with the emerging open source search server, ElasticSearch
This book is written in friendly, practical style with numerous hands-on examples and tutorials throughout.This book is written for developers who wish to leverage ElasticSearch to create a fast and flexible search solution. If you are looking to learn ElasticSearch or become more proficient then th...
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Birmingham :
Packt Pub
2013.
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| Edition: | 1st edition |
| Series: | Community experience distilled.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628256806719 |
Table of Contents:
- Cover; Copyright; Credits; About the Authors; Acknowledgement; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with ElasticSearch Cluster; What is ElasticSearch?; Index; Document; Document type; Node and cluster; Shard; Replica; Installing and configuring your cluster; Directory structure; Configuring ElasticSearch; Running ElasticSearch; Shutting down ElasticSearch; Running ElasticSearch as a system service; Data manipulation with REST API; What is REST?; Storing data in ElasticSearch; Creating a new document; Retrieving documents
- Updating documentsDeleting documents; Manual index creation and mappings configuration; Index; Types; Index manipulation; Schema mapping; Type definition; Fields; Core types; Multi fields; Using analyzers; Storing a document source; All field; Dynamic mappings and templates; Type determining mechanism; Dynamic mappings; Templates; Storing templates in files; When routing does matter; How does indexing work?; How does searching work?; Routing; Routing parameters; Routing fields; Index aliasing and simplifying your everyday work using it; An alias; Creating an alias; Modifying aliases
- Combining commandsRetrieving all aliases; Filtering aliases; Aliases and routing; Summary; Chapter 2: Searching Your Data; Understanding the querying and indexing process; Mappings; Data; Querying ElasticSearch; Simple query; Paging and results size; Returning the version; Limiting the score; Choosing fields we want to return; Partial fields; Using script fields; Passing parameters to script fields; Choosing the right search type (advanced); Search execution preference (advanced); Basic queries; The term query; The terms query; The match query; The Boolean match query; The phrase match query
- The match phrase prefix queryThe multi match query; The query string query; Lucene query syntax; Explaining the query string; Running query string query against multiple fields; The field query; The identifiers query; The prefix query; The fuzzy like this query; The fuzzy like this field query; The fuzzy query; The match all query; The wildcard query; The more like this query; The more like this field query; The range query; Query rewrite; Filtering your results; Using filters; Range filters; Exists; Missing; Script; Type; Limit; IDs; If this is not enough; bool, and, or, not filters
- Named filtersCaching filters; Compound queries; The bool query; The boosting query; The constant score query; The indices query; The custom filters score query; The custom boost factor query; The custom score query; Sorting data; Default sorting; Selecting fields used for sorting; Specifying behavior for missing fields; Dynamic criteria; Collation and national characters; Using scripts; Available objects; MVEL; Other languages; Script library; Native code; Summary; Chapter 3: Extending Your Structure and Search; Indexing data that is not flat; Data; Objects; Arrays; Mappings; Final mappings
- To be or not to be dynamic
