Thanks everyone for your input, I'll try the ramdisk idea, I read about
someone else who tried that and had some success. Beyond, that I'm gonna
take the long route and redesign the database to be a bit more
conventional.
Thanks!
Matt
On Thu, 2003-10-23 at 20:28, Peter Buri wrote:
> Hello,
>
> as i see you use one table to store all the data, but the cohesive data are
> split into 15! different rows.
>
> I think to get the best performance you shoud redesign your tabel.
> Use at last first normal form [1NF], if the app_id is uniq this can be the
> primary key [which will speed up the query] .
>
> Data which have the same row_id should be in one row.
>
> Your table definition shoud look like this:
>
> create table content (
> app_id MEDIUMINT NOT NULL AUTO_INCREMENT,
> niche ??? , -- maybe int
> type int,
> title varchar(200),
> description text,
> image ???, -- maybe varchar
> last_update datetime,
> content_link varchar(200),
> unique_id int,
> date_added datetime,
> content_provider int,
> user_hits int,
> vote_total int,
> vote_user_total int,
> channel int,
> --...
>
> primary key ( app_id )
>
> );
>
> As i see you get at last 129 different filed type [s9.field_id=129], you can
> split the data into different tables. [Use heigher normal form.]
>
> But if you don't want redesign the tables and all the different fields exists
> then use join instead of left join and then the "group by" is needless.
>
> burci
>
> Thursday, October 23, 2003, 9:05:26 PM, you wrote:
>
> MB> Hey All-
>
> MB> I am trying to improve the speed of a website and was wondering if
> MB> anyone had any ways I can rewrite these queries so that they actually
> MB> run with some descent speed.
>
> MB> Its a really nasty query and I'm not sure where to start, I'd like to
> MB> now have to redo the tables and I already put some indexes on it which
> MB> improved speed a lot but these queries are still very slow. You can most
> MB> certainly laugh to yourselves on this one... jsut trying to get some
> MB> opinions on what I should do with this.
>
> MB> Thanks-
> MB> Matt
>
> MB> SELECT content.row_id AS row_id, content.app_id AS app_id, s1.data AS
> MB> niche, s2.data AS type, s3.data AS title, s4.data AS description,
> MB> s5.data AS image, s6.data AS last_update, s7.data AS content_link,
> MB> s8.data AS unique_id, s9.data AS date_added, s10.data AS
> MB> content_provider, s11.data AS user_hits, s12.data AS vote_total,
> MB> s13.data AS vote_user_total, s14.data AS channel FROM content LEFT JOIN
> MB> content s1 ON s1.field_id=69 AND s1.row_id = content.row_id LEFT JOIN
> MB> content s2 ON s2.field_id=70 AND s2.row_id = content.row_id LEFT JOIN
> MB> content s3 ON s3.field_id=71 AND s3.row_id = content.row_id LEFT JOIN
> MB> content s4 ON s4.field_id=72 AND s4.row_id = content.row_id LEFT JOIN
> MB> content s5 ON s5.field_id=73 AND s5.row_id = content.row_id LEFT JOIN
> MB> content s6 ON s6.field_id=74 AND s6.row_id = content.row_id LEFT JOIN
> MB> content s7 ON s7.field_id=76 AND s7.row_id = content.row_id LEFT JOIN
> MB> content s8 ON s8.field_id=84 AND s8.row_id = content.row_id LEFT JOIN
> MB> content s9 ON s9.field_id=129 AND s9.row_id = content.row_id LEFT JOIN
> MB> content s10 ON s10.field_id=116 AND s10.row_id = content.row_id LEFT
> MB> JOIN content s11 ON s11.field_id=118 AND s11.row_id = content.row_id
> MB> LEFT JOIN content s12 ON s12.field_id=120 AND s12.row_id =
> MB> content.row_id LEFT JOIN content s13 ON s13.field_id=121 AND s13.row_id
> MB> = content.row_id LEFT JOIN content s14 ON s14.field_id=125 AND
> MB> s14.row_id = content.row_id WHERE content.app_id = 11 AND
> MB> unix_timestamp(s6.data)-unix_timestamp('2003-10-23 23:59:59') < 0 GROUP
> MB> BY row_id ORDER BY last_update desc LIMIT -1
>
>
>
>
> --
> [nick]:burci [hp]:http://peter.buri.hu [mailto]:[EMAIL PROTECTED] [motto]:"Music
> makes life easier to survive!"
>
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