Hello community, from several discussions about Solr and Nutch, I got some questions for a virtual web-search-engine. I know I've posted this message to the mailing list a few days ago, but the thread got injected and at least I did not get any more postings about the topic and so I try to reopen it, hopefully no one gets upset here :-). Please, bear with me. Thank you.
The requirements: I. I need a scalable solution for a growing index that becomes larger than one machine can handle. If I add more hardware, I want to linear improve the performance. II. I want to use technologies like the OPIC-algorithm (default algorithm in Nutch) or PageRank or... whatever is out there to improve the ranking of the webpages. III. I want to be able to easily add more fields to my documents. Imagine one retrives information from a webpage's content, than I want to make it searchable. IV. While fetching my data, I want to make special-searches possible. For example I want to retrive pictures from a webpage and want to index picture-related content into another search-index plus I want to save a small thumbnail of the picture itself. Btw: This is (as far as I know) not possible with solr, because solr was not intended to do such special indexing-logic. V. I want to use filter queries (i.e. main-query "christopher lee" returns 1.5mio results, subquery "action" -> the main-query would be a filter-query and "action" would be the actual query. So a search within search-results would be easily made available). VI. I want to be able to use different logics for different pages. Maybe I got a pool of 100 domains that I know better than others and I got special scripts that retrive more special information from those 100 domains. Than I want to apply my special logic to those 100 domains, but every other domain should use the default logic. ----------------- The project is only virtual. So why I am asking? I want to learn more about websearch and I would like to make some new experiences. What do I know about Solr + Nutch: As it is said on lucidimagination.com, Solr + Nutch does not scale if the index is too large. The article was a little bit older and I don't know whether this problem gets fixed with the new distributed abilities of Solr. Furthermore I don't want to index the pages with nutch and reindex them with solr. The only exception would be: If the content of a webpage get's indexed by nutch, I want to use the already tokenized content of the body with some Solr copyfield operations to extend the search (i.e. making fuzzy search possible). At the moment: I don't think this is possible. I don't know much about the droids project and how well it is documented. But from what I can read by some posts of Otis, it seems to be usable as a crawler-framework. Pros for Nutch are: It is very scalable! Thanks to hadoop and MapReduce it is a scaling-monster (from what I've read). Cons: The search is not as rich as it is possible with Solr. Extend Nutch's search-abilities *seems* to be more complicated than with Solr. Furthermore, if I want to use Solr to search nutch's index, looking at my requirements I would need to reindex the whole thing - without the benefits of Hadoop. What I don't know at the moment is, how it is possible to use algorithms like in II. mentioned with Solr. I hope you understand the problem here - Solr *seems* to me as it would not be the best solution for a web-search-engine, because of scaling reasons in indexing. Where should I dive deeper? Solr + Droids? Solr + Nutch? Nutch + howToExtendNutchToMakeSearchBetter? Thanks for the discussion! - Mitch -- View this message in context: http://lucene.472066.n3.nabble.com/Solr-and-Nutch-Droids-to-use-or-not-to-use-tp900069p900069.html Sent from the Solr - User mailing list archive at Nabble.com.
