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Elasticsearch
The document provides an overview of Elasticsearch and related technologies, highlighting features such as high-performance indexing and efficient search algorithms. It compares Elasticsearch with Solr and MongoDB, noting advantages in real-time performance and scalability. Additional resources and use cases for utilizing Elasticsearch in various applications are also mentioned.
Elasticsearch
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- 2. About Me • ASP.NETMvc , C# • MSSQL, Elasticsearch • CI ( TFS, Jenkins ) • JS , Jquery, VueJS • RabbitMQ, Masstransit , AKKA • DDD, Micoservice • Azure, DFS • Microsoft Solution • No Any License • Speaker of gamania • github.com/platstar
- 3. Solution Lucene ( http://lucene.apache.org/core/) Solr ( http://lucene.apache.org/solr/ ) Elasticsearch ( https://www.elastic.co/ )
- 4. Lucene • Scalable, High-PerformanceIndexing • Powerful, Accurate and Efficient Search Algorithms • Cross-Platform Solution • The Apache Software Foundation http://lucene.apache.org/core
- 5. Solr Solr is thepopular, blazing-fast, open source enterprise search platform built on Apache Lucene. http://lucene.apache.org/solr/
- 6. Elasticsearch Elasticsearch is adistributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management. https://www.elastic.co
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- 9. Elasticsearch-vs-Solr • Real-time Performance •Platform Support • Cluster • Follow the Trend http://db-engines.com/en/ranking/search+engine
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- 11. Elasticsearch-vs-MongoDB Everything depend on.. http://blog.quarkslab.com/mongodb-vs-elasticsearch-the-quest-of- the-holy-performances.html
- 12. Elasticsearch ELK, ElasticStack Use Cases KeyPoint Resource
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- 17. Key Point • DocumentMapping 決定了效能和功能, 50% • DSL 查詢語法與評分機制 , 20% • Plugin , 20% • Cluster , 10%
- 18. Key Point • 提供現有可靠高效能的搜尋方案,唯細節和經驗仍需掌握 •特定應用仍需客製所需 • 中文處理是關鍵問題
- 19. Resource • 官方網站論壇 (discuss.elastic.co) • 中文書籍 • 實體課程 • GitHub • 其他
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