Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships.

If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features.

• Understand how Elasticsearch interprets data in your documents
• Index and query your data to take advantage of search concepts such as relevance and word proximity
• Handle human language through the effective use of analyzers and queries
• Summarize and group data to show overall trends, with aggregations and analytics
• Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation
• Model your data to take advantage of Elasticsearch’s horizontal scalability

• Learn how to configure and monitor your cluster in production

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• 如果你是搜索和分布式系统的新手，你会很快学会如何将Elasticsearch整合到你的应用程序中。更有经验的用户会学到很多高级技术。在整本书中，你将遵循基于问题的方法，学习为什么、何时以及如何使用Elasticsearch的功能。
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• 了解Elasticsearch如何解释你文档中的数据
• 索引和查询你的数据，以利用搜索概念，如相关性和词的接近性
• 通过有效使用分析器和查询来处理人类语言
• 通过聚合和分析，对数据进行汇总和分组，以显示整体趋势
• 使用地理点和地理形状--Elasticsearch的地理定位方法
• 为你的数据建模，以利用Elasticsearch的水平可扩展性
• 学习如何在生产中配置和监控你的集群