Thanks guys! David, In general and in your opinion would Lucene Spatial be the way to go to index hundreds of terabytes of spatial data that continually grows. Mostly point data, mostly structured, however, could be polygons. The searches would be within or contains in a polygon. Do you have any thoughts on using a NOSQL database (like Mongodb) or something else comparable. I need response times in the seconds. My thoughts are that I need some type of distributed system. I was thinking about SOLRCLOUD to solve this. I'm fairly new to Lucene/Solr. Most of the data is currently in HDFS/HBASE.
I've investigated sharding Oracle and Postgres databases but this just doesn't seem like the ideal solution and since all the data already exists in HDFS, I'd like to build a solution that works on top of it but "real-time" or as "near" as I can get. Anyways, I've read some of your work in the past and appreciate your input. I don't mind putting in some development work, just not sure the right approach. Thanks for your time. I appreciate it! -- View this message in context: http://lucene.472066.n3.nabble.com/Using-Solr-Spatial-in-conjunction-with-HBASE-Hadoop-tp4034307p4034639.html Sent from the Solr - User mailing list archive at Nabble.com.