Re: Search efficiency - RDMS search versus free text search
- From: "Walter Mitty" <wamitty@xxxxxxxxxxx>
- Date: Wed, 14 Jan 2009 15:34:33 GMT
"paul c" <toledobythesea@xxxxxxxx> wrote in message
news:u2nbl.4952$PH1.750@xxxxxxxxxxx
Taras_96 wrote:
Hi everyone,
I just had an interesting discussion with a colleague regarding how we
are implementing search. We allow users to browse resources under a
list of topics, so for example a list of all resources relating to
'cars'. One way of doing this is with a SQL query against the database
backend:
SELECT * FROM resources WHERE topic_area = 'cars'
The actual query is quite a bit more complicated than this (involves
table joins and the like).
However, he said that due to the table joins (coming from the fact
that the database is normalised), that this technique is quite
resource expensive. Instead, we are using the Google Search Appliance
to index our resources (delivered via the web), and creating the topic
pages by using Google to search on meta-data, which apparently results
in better performance.
This came to me somewhat as a suprise, as I was under the impression
that returning such result sets were one of the key uses of a RDMS -
the efficient storage and retrieval of records. I can understand the
performance issues if the search was a free text search, but the above
search is really searching against an indexed column value.
Is this often the case with enterprise level database searches - that
the database itself isn't used for searching because of performance
issues?
Cheers
Taras
I think this is a significant question even if it is perhaps naive in the
c.d.t. context. The question I would ask is: does the 'appliance' give
the same answers as the dbms? Possibly the answer to that question would
indicate that the requirements for this particular database are just as
fuzzy as the answers.
Presumably, this is a read-only db at least as far as some users are
concerned. If there is a requirement for accurate updating by other
users, let's hope they use some version or special copy of the db itself.
On the other hand, I remember read-only advertising research apps from the
early 1980's that did fuzzy searching. Their main requirement was to give
possible answers, not all answers.
(Some time ago I was interested in finding the children of a woman I
thought to be dead for twenty or more years. No criticism of Google but
its algorithms got me nowhere whereas Yahoo gave me some clues as to
countries she might have lived in. Knowing her husband's surname and the
given name of her male child, I looked him up in a foreign telephone
directory and by accident reached another son I didn't know of, and then
to my surprise, the lady herself, still alive. At one time, Yahoo's
machine-generated indexes were edited to some extent manually. No idea if
this is still the case, but this example shows that the ranking involved
in these 'search engines' may omit useful answers and has a big effect on
subsequent searches.)
From reading your response, I have some real doubt as to whether it was theGoogle "algorithms" or the data those algorithms had available to them that
caused the results you saw.
Speculating about the internals of an engine like Google provides lots of
opportunities for mistakes. Google gets inputs from all over the place.
Google applies algorithms to those inputs prior to storing. Google uses
queries to get a presumably relevant subset back when responding to a user
request. For this last purpose, the database can indeed be treated as read
only, although there is probably a second schema that collects data about
user search activities, and that schema is probably written to.
As far as fuzzy logic goes, the data can be fuzzed prior to storage, or
fuzzed in the course of a query, or fuzzed by an algorithm applied to query
results. Without know how the data is stored, we can't know whether it's
already fuzzy in storage.
As far as the OP is concerned, I'd like some responder that's more well
versed in theory than I am to refine the OP's understanding of what
relational databases are for. "The efficient storage and retrieval or
records" seems like the very tip of the iceberg to me.
.
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- From: Taras_96
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