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by Eric Gries
The data and content whirlwind continues unabated, with total data volume doubling every 18 months and more forms and formats every day, as end users and organizations alike continue to demand better search technology. Now the Lucene Revolution has arrived, freeing end users and organizations to harness the content whirlwind with better, faster, more scalable and effective search apps and search-enabled services. More and more enterprises are breaking the bonds of commercial proprietary software lock-in, scaling up on open source Lucene/Solr search technology. Thousands are betting their business on the promise and the results delivered by the community innovation engine for disruptive competitive advantage. We'll look at how cutting edge developers, thought leaders, and market makers who have found the search they've been looking for, are driving the Lucene Revolution around the world. In addition we'll discuss what's needed to take open source search to the next level and continue the dramatic rate of adoption to more enterprises and users.
by John Wang
Lucene has for a while already a nice feature that we call "Near-realtime search" (NRT). The approach works well for a lot of applications, but we're currently working on an even better real-time solution in Lucene: directly searching IndexWriter's RAM buffer while do cuments are being added! This will dramatically improve indexing performance compared to NRT, and the search latency (the time it takes for a d ocument to become searchable) will shrink to a minimum - hence we will scratch the N in NRT! This talk will discuss this new approach and give an overview of the current status of Lucene's realtime-search branch.
by Johannes Goll