Hello,
I'm contemplating what architecture I should use to make searching as
fast as possible given the information available and the search
requirements. Let me give some background first;
- The database contains products of can potentially have a lot of them
(up to about 3 to 5 million)
- Each product has about 30 different properties defined about them.
Things like what color they are etc. All these properties are enumerated
choices, so for instance for color there is a list of available static
never changing options of which one can be chosen for that product. This
is the same for all those 30 properties. Currently they are stored as
enumerated types (CREATE TYPE propertyvalue AS ENUM ('option1',
'option2', etc..)
- It should be possible to search for products and provide properties
that the product SHOULD have, not must have. For instance, for color,
the search could specify that it should return products that are either
red, blue or green.
- The products that match with the most properties should be in the top
of the search results
- If different products match with the same amount of properties, the
ordering should then be on the product that is most popular. There is
information in the database (and if need be also in the same table)
about how many times a product is sold.
- The results will be paginated per 15 products
The requirement is that these searches should be as fast as possible,
with a maximum of about 200 ms time taken for a search query.
What would be the best approach to this if I were to do this in the
database only? Should/can this be done with postgresql only or should I
look into other types of technology? (Lucene? Sphinx? others?)
Any advice on this would be greatly appreciated.
Thx in advance!
Ron