the immediate challenge is to fic the join statement so
make sure products.id is indexed
make sure browse_nodes_to_products.product_id is indexed
make sure browse_nodes_to_products.browse_node_id is indexed
make sure browse_nodes.amazon_id is indexed
there seems to be mapping/relationship challenge for your product to browse_node_id
which finally maps to amazon_id
would be simpler if is there any way you can carry the product_id thru
from products table to
to browse_nodes table
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> From: e.stewart@stripped
> To: mysql@stripped
> Subject: Speed up slow SQL statement.
> Date: Fri, 26 Sep 2008 10:42:07 -0400
> Good morning everyone,
> I've got a sql statement that is running quite slow. I've indexed
> everything I can that could possibly be applicable but I can't seem to
> speed it up.
> I've put up the table structures, row counts, the sql statement and
> the explain dump of the sql statement all in paste online here
> I'm including the sql statement itself here as well:
> select distinct products.id as id,
> products.created_at as created_at,
> products.asin as asin,
> products.sales_rank as sales_rank,
> products.points as points
> from products
> inner join (browse_nodes, browse_nodes_to_products) on
> (browse_nodes.amazon_id = browse_nodes_to_products.browse_node_id
> and products.id = browse_nodes_to_products.product_id)
> where browse_nodes.lft >= 5 and browse_nodes.rgt <= 10
> order by products.sales_rank desc limit 10 offset 0;
> What I'm trying to accomplish with this is to get an ordered list of
> unique products found under a category.
> Any ideas on how I could speed this up?
> Thanks in advance,
> Eric Stewart
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