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eGrove Systems - "SOLR" An Apache Product
The document provides an overview of Solr, an Apache-based full-text search server that utilizes a flexible schema and supports various interfaces (XML, JSON, HTTP). It discusses features like advanced search capabilities, high traffic optimization, and performance factors, along with the pros and cons of using Solr. Additionally, it mentions future trends and lists notable websites that utilize Solr technology.
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eGrove Systems - "SOLR" An Apache Product
- 1. SOLR 777 Washington Road#5 Parlin, NJ 08859 Phone: 732 307 2655 Email: sathish@egrovesys.com - An Apache Product
- 2. CONTENTS INTRODUCTION FEATURES FUNCTIONS ARCHITECTURE PERFORMANCE PROs & CONs FUTURETRENDS WEBSITES USING SOLR 2
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- 4. INTRODUCTION • A fulltext search server based on Lucene • XML/HTTP Interfaces • Loose Schema to define types and fields • Web Administration Interface • Extensive Caching • Index Replication • Extensible Open Architecture • Written in Java5, deployable as a WAR 4
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- 7. • Advanced full– text search. • Optimized for high traffic volume. • Standards based open interfaces – XML, JSON & HTTP • Comprehensive administration interfaces • Near real – time indexing • Extensible plugin architecture • Multiple search indices • Apache UIMA • Rich document parsing • Advanced storage options • Performance optimization FEATURES 7
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- 9. • XML/HTTP andJSON APIs • Hit highlighting • Faceted Search and Filtering • Geospatial Search • Fast Incremental Updates and Index Replication • Caching • Replication • Web administration interface FUNCTIONS 9
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- 13. Performance Factors • Schemadesign • # of indexed fields • omitNorms • Term – vectors • Docvalues • Configuration • mergeFactor • Caches • Indexing • Bulk updates • Commit Strategy • Optimize • Querying PERFORMANCE 14
- 14. 1. Memory Testing– SOLR response time for 1 million volume index with 8 GB and 32 GB instance. Source : www.hathitrust.org PERFORMANCE 15
- 15. 2. SOLR indexsize analysis for Twitter dataset Source : www.dzone.com PERFORMANCE 16
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- 17. PROS CONS Easymonitoring. HighlyScalable. FaultTolerant. Flexibleandadaptablewith easyconfiguration. PerformanceOptimization. HighlyConfigurableand userextensiblecaching. Freelyavailable. Multilingualsupport. Easyimplementationandsetup Lessresourceutilization Agenerallackofcommitment towardsSOLR. LessattentionsonJVM settings&garbage. Increasedlatency. OccasionallargeIOloadto replicatelargemerges. Complicatedloadbalanceand management. Reconfigurationifthemaster islost. PROs & CONs 18
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- 19. • OOTB SimpleFaceted Browsing • Automatic Database Indexing • Federated Search – HA with failover • Alternate output formats (JSON, Ruby) • Highlighter integration • Spellchecker • Alternate APIs (Google Data, OpenSearch) FUTURE TRENDS 20
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- 21. • Whitehouse.gov • Buy.com •Cnet • Netflix • Apple • Disney • eTrade • NASA • MTV • Zappos • AOL • Digg WEBSITES USING SOLR 22