Madison Kelly wrote:
Hi all,
I've got a query that looks through a table I use for my little search
engine. It's something of a reverse-index but not quite, where a proper
reverse index would have 'word | doc1, doc3, doc4, doc7' showing all the
docs the keyword is in, mine has an entry for eac
I've got a query like:
SELECT
sch_id, sch_for_table, sch_ref_id, sch_instances
FROM
search_index
WHERE
(sch_keyword LIKE '%digi%' OR sch_keyword LIKE '%madi%')
AND
sch_for_table!='client'
AND
... (more restrictions)
ORDER BY
sch_instances DESC;
This returns references to a data column (sch_ref_id) in a given table
(sch_for_table) for each matched keyword.
The problem I am having is that two keywords might reference the same
table/column which would, in turn, give me two+ search results pointing
to the same entry.
What I would like to do is, when two or more results match the same
'sch_ref_id' and 'sch_for_table' to merge the results. Specifically, the
'sch_instances' column is the number of times the given keyword is found
in the table/column. I'd like to add up the number in the duplicate
results (to give it a higher accuracy and move it up the search results).
You'll want something like:
SELECT
sch_id, sch_for_table, sch_ref_id,
SUM(sch_instances) AS tot_instances
...
GROUP BY
sch_id, sch_for_table, sch_ref_id
ORDER BY
tot_instances DESC;
The key word to search the manuals on is "aggregates" (sum(), count() etc).
--
Richard Huxton
Archonet Ltd
