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Develop open source search engine
The document compares and summarizes two open source search engines: Sphinx and Apache Solr. Sphinx is a full-text search server written in C++ that allows indexing and searching data stored in SQL databases, NoSQL storage, or files. It offers text processing features, simple APIs, and can scale to billions of documents. Apache Solr is a popular, high performance open source enterprise search platform built on Apache Lucene. It provides powerful full-text search capabilities along with features like hit highlighting, faceted search, and database integration. Both Sphinx and Solr are open source tools for building search functionality into applications.
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Develop open source search engine
- 1. DEVELOP OPEN SOURCE SEARCH ENGINE 26th Feb 2012 Ritesh Ambastha – CEO, iWillStudy.com
- 2. Open Source SearchEngines Lucen Datapark Sphinx Search Zettair e YaCy Xapian SWISH-E Seeks Recoll OpenFTS Nutch Namazu
- 3. Platform Ideas ! Credits: http://zooie.wordpress.com
- 4. Comparision Credits: http://zooie.wordpress.com
- 5. Comparision Credits: http://zooie.wordpress.com
- 6. We are goingto talk about Sphinx & Apache- Solr
- 7. Sphinx Sphinx is an open source full text search server. It's written in C++ and works on Linux (RedHat, Ubuntu, etc), Window s, MacOS, Solaris, FreeBSD, a nd a few other systems. Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily
- 8. Sphinx Text processingfeatures Searching via SphinxAPI is as simple as 3 lines of code, and querying via SphinxQL is even simpler Sphinx clusters scale up to billions of documents and tens of millions search queries per day, powering top websites such as Craigslist, DailyMotion, NetLog, etc.
- 9. Performance and scalability Indexing performance: Sphinx indexes up to 10- 15 MB of text per second per single CPU core. Searching performance: Searching through 1,000,000-document, 1.2 GB text collection that they use for everyday development and testing runs at 500+ queries/sec on a 2-core desktop machine with 2 GB of RAM. Scalability: Biggest known Sphinx cluster indexes almost 5 billion documents, resulting in over 6 TB of data. Busiest known one is, unsurpisingly, Craigslist, top- 10 website in the US that serves 50+ million search
- 10. Key Features Batch and Real-Time full-text indexes Non-text attributes support SQL database indexing Non-SQL storage indexing Easy application integration Advanced full-text searching syntax Rich database-like querying features Better relevance ranking Flexible text processing Distributed searching
- 11.
- 12. Solr is the popular,blazing fast open source enterprise search platform from the Apache Lucene project.
- 13. Its major featuresinclude powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial
- 14. Solr is writtenin Java and runs as a standalone full-text search server within a servlet container such as Tomcat.
- 15. Solr Features Advanced Full-Text Search Capabilities Optimized for High Volume Web Traffic Standards Based Open Interfaces - XML,JSON and HTTP Comprehensive HTML Administration Interfaces Server statistics exposed over JMX for monitoring Scalability - Efficient Replication to other Solr Search Servers Flexible and Adaptable with XML configuration Extensible Plugin Architecture
- 16. What is itall about?
- 18. Solr is basedon Lucene
- 19.