We are considering Solr 1.2 to index and search a terabyte-scale dataset
of OCR. Initially our requirements are simple: basic tokenizing, score
sorting only, no faceting. The schema is simple too. A document
consists of a numeric id, stored and indexed and a large text field,
indexed not stored, containing the OCR typically ~1.4Mb. Some limited
faceting or additional metadata fields may be added later.
I have not done anything on this scale... but with:
https://issues.apache.org/jira/browse/SOLR-303 it will be possible to
split a large index into many smaller indices and return the union of
all results. This may or may not be necessary depending on what the
data actually looks like (if you text just uses 100 words, your index
may not be that big)
How many documents are you talking about?
Should we expect Solr indexing time to slow significantly as we scale
up? What kind of query performance could we expect? Is it totally
naive even to consider Solr at this kind of scale?
You may want to check out the lucene benchmark stuff
http://lucene.apache.org/java/docs/benchmarks.html
http://lucene.apache.org/java/2_2_0/api/org/apache/lucene/benchmark/byTask/package-summary.html
ryan
