
Implementing Lucene Spatial Support
Lucene geospatial extension proposed in this article is based on a two level search – first level search is based on Cartesian Grid search and the second level implements shape specific spatial calculations

Lucene geospatial extension proposed in this article is based on a two level search – first level search is based on Cartesian Grid search and the second level implements shape specific spatial calculations
LinkedIn has open sourced IndexTank, a document indexing engine that runs on the cloud and lets users customize the indexing process and tweak the results.
The Lucene PMC (Project Management Committee) has announced the availability of Apache Lucene 3.5.0 and Apache Solr 3.5.0. Lucene is a high-performance, full-featured text search library. Solr is a standalone search server that uses Lucene at its core for indexing and search.
eBay presented a keynote at Hadoop World, describing the architecture of its completely rebuilt search engine, Cassini, slated to go live in 2012. It indexes all the content and user metadata to produce better rankings and refreshes indexes hourly. It is built using Hadoop for hourly index updates and HBase to provide random access to item information.

The article describes overall design and implementation of integrating Lucene search library with HBase back end. It describes integration architecture, implementation and HBase tables design

On September 29th LinkedIn Signal was announced, providing a social search application both for LinkedIn shares and tweets from LinkedIn-Twitter bounded accounts. This article aims to provide more insight into the motivation and technical challenges of combining Scala, JRuby and Voldemort, at such scale.
Shay Banon demoes ElasticSearch, an open source distributed and RESTful search engine, detailing some of its features: distributed, cloud readiness, facets, and percolator.
John Wang discusses LinkedIn real-time distributed search engine architecture and implementation details for People Search, Signal, Stream Indexing, Zoie, and Bobo.

In this interview from QCon San Francisco 2007, Randy Shoup discusses the architecture of eBay. Topics discussed include eBay's architectural principles, horizontal and vertical partitioning, ACID vs. BASE, handling data inconsistency, distributed caching, updating eBay on the fly, architectural and coding standards, eBay's search infrastructure, grid computing, and SOA.