Hi there,
as you know LogicalDOC has an interesting feature that other DMS doesn't
have: search by similarity.
Well, we want to preserve this feature but by now all the 'search by
similarity' machinery is based on the Term business entity and it's
table LD_TERM.
This approach *kills* performances on very huge documents archives
sinche for each document 20 records are also created in LD_TERM.
Imagine a population of 1M documents, int this case we will get 20M
records into LD_TERM!
So our intention is to drop Term object and all it's associated logic
and reimplement the feature following one of the two approaches:
1. Use the lucene Index: similar documents are those documents that
have a similar value in the 'content' field of the lucene index.
2. Use keywords(table LD_KEYWORD): similar documents are those
documents that share at least one keyword
I think the first approach is the best, while the second ignores
documents without keywords.
So in the next days we will proceed to this refactoring, if you don't
have objections. The final purpose is always to achieve higher performances.
PS
The new tool TestBench is giving us a lot of satisfaction, ASAP we will
publish our benchmarks.
Best Regards
---------------------------------------------------------------
ing. Marco Meschieri
e-mail: m.m...@lo... <mailto:m.m...@lo...>
---------------------------------------------------------------
Logical Objects snc
Via Bonasi, 2/A 41012 Carpi (MO) Italy
Tel./Fax. 059 688969
web: http://www.logicalobjects.it
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