Hi, It depends. Are docs huge or small? Server single core or 32 core? Heap big or small? etc. etc.
Otis -- Performance Monitoring * Log Analytics * Search Analytics Solr & Elasticsearch Support * http://sematext.com/ On Wed, Mar 5, 2014 at 3:02 PM, Rallavagu <rallav...@gmail.com> wrote: > It seems the latency is introduced by collecting the data from different > sources and putting them together then actual Solr index. I would say all > these activities are contributing equally though I would say So, is it > normal to expect to run indexing to run for long? Wondering what to expect > in such cases. Thanks. > > On 3/5/14, 11:47 AM, Otis Gospodnetic wrote: > >> Hi, >> >> 6M is really not huge these days. 6B is big, though also still not huge >> any more. What seems to be the bottleneck? Solr or DB or network or >> something else? >> >> Otis >> -- >> Performance Monitoring * Log Analytics * Search Analytics >> Solr & Elasticsearch Support * http://sematext.com/ >> >> >> On Wed, Mar 5, 2014 at 2:37 PM, Rallavagu <rallav...@gmail.com> wrote: >> >> All, >>> >>> Wondering about best practices/common practices to index/re-index huge >>> amount of data in Solr. The data is about 6 million entries in the db and >>> other source (data is not located in one resource). Trying with solrj >>> based >>> solution to collect data from difference resources to index into Solr. It >>> takes hours to index Solr. >>> >>> Thanks in advance >>> >>> >>
