[ https://issues.apache.org/jira/browse/SOLR-2218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Grant Ingersoll resolved SOLR-2218. ----------------------------------- Resolution: Duplicate Dup of SOLR-1726 > Performance of start= and rows= parameters are exponentially slow with large > data sets > -------------------------------------------------------------------------------------- > > Key: SOLR-2218 > URL: https://issues.apache.org/jira/browse/SOLR-2218 > Project: Solr > Issue Type: Improvement > Components: Build > Affects Versions: 1.4.1 > Reporter: Bill Bell > > With large data sets, > 10M rows. > Setting start=<large number> and rows=<large numbers> is slow, and gets > slower the farther you get from start=0 with a complex query. Random also > makes this slower. > Would like to somehow make this performance faster for looping through large > data sets. It would be nice if we could pass a pointer to the result set to > loop, or support very large rows=<number>. > Something like: > rows=1000 > start=0 > spointer=string_my_query_1 > Then within interval (like 5 mins) I can reference this loop: > Something like: > rows=1000 > start=1000 > spointer=string_my_query_1 > What do you think? Since the data is too great the cache is not helping. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org