Re: SELECT Aggregate

Well whatdyaknow?? Being a Postgres newbie I hadn't even played with indexes
yet. They're awesome!!

Using Richard's suggestion of the Sub-Select in the COLUMN list, combined
with adding some indexes, I can now return this in under 5 seconds!

I've included the new SELECT query, as well as the definitions of the
indexes below for anyone who's interested.

Thanks guys!

QUERY:

SELECT trans_no,

customer,

date_placed,

date_complete,

date_printed,

(SELECT SUM(sell_price)

FROM soh_product

WHERE sales_orders.trans_no = soh_product.soh_num

) AS wholesale,

ord_type,

ord_status,

customer_reference,

salesman,

parent_order,

child_order,

order_number

FROM sales_orders

WHERE (trans_no Like '8%' AND order_number Like '8%')

OR (trans_no Like '9%' AND order_number Like '8%')

OR (trans_no Like '8%' AND order_number Like '9%')

OR (trans_no Like '9%' AND order_number Like '9%')

AND warehouse='M'

AND date_placed > (current_date + ('12 months ago'::interval))

ORDER BY trans_no DESC

INDEXES:

CREATE INDEX sales_orders_customer

ON sales_orders

USING btree

(customer);

CREATE INDEX sales_orders_orderno

ON sales_orders

USING btree

(order_number);

CREATE INDEX sales_orders_customer

ON sales_orders

USING btree

(customer);

CREATE INDEX soh_product_prodcode

ON soh_product

USING btree

(prod_code);

CREATE INDEX soh_product_transno

ON soh_product

USING btree

(soh_num);

-----Original Message-----
From: Richard Broersma Jr [mailto:rabroersma(at)yahoo(dot)com]
Sent: Friday, 30 June 2006 10:51
To: Phillip Smith; pgsql-sql(at)postgresql(dot)org
Subject: Re: [SQL] SELECT Aggregate

> I've tried Aaron's suggestion of the GROUP BY and I don't know much about

> it, but it ran for around 17 hours and still going (it had a dedicated
Dual

> Xeon 3.0GHz box under RHEL4 running it!)

Maybe, this query that you are trying to run is a good candidate for a
"Materialize View".

http://archives.postgresql.org/pgsql-performance/2004-02/msg00279.php

Also before you run your query you might want to see the explain plan is.
Perhap it is using a

sequencial scan in a place where an index can improve query preformance.

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