On Wed, 2009-06-03 at 01:28 -0600, Scott Marlowe wrote:
> On Wed, Jun 3, 2009 at 12:32 AM, Ow Mun Heng <ow.mun.h...@wdc.com> wrote:
> > HashAggregate (cost=8035443.21..8035445.17 rows=157 width=24)
> > -> Nested Loop (cost=37680.95..7890528.72 rows=28982898 width=24) <<<<<
> > suspect
> > Join Filter: ((a.test_run_start_date_time >= date.start_time) AND
> > (a.test_run_start_date_time <= date.end_time))
> > -> Bitmap Heap Scan on d_trh_pbert a (cost=37677.22..1369372.99
> > rows=1661440 width=24)
> > Recheck Cond: ((test_run_start_date_time >= '2009-05-08
> > 07:00:00'::timestamp without time zone) AND (test_run_start_date_time <=
> > '2009-05-15 06:59:59'::timestamp without time zone))
> > -> Bitmap Index Scan on idx_d_trh_pbert_sdate
> > (cost=0.00..37261.86 rows=1661440 width=0)
> > Index Cond: ((test_run_start_date_time >= '2009-05-08
> > 07:00:00'::timestamp without time zone) AND (test_run_start_date_time <=
> > '2009-05-15 06:59:59'::timestamp without time zone))
> > -> Materialize (cost=3.73..5.30 rows=157 width=24)
> > -> Seq Scan on lookup_ww_date2 date (cost=0.00..3.57
> > rows=157 width=24)
> OK, looking at your query and the plan, what you're doing is kind of this:
>
> 157 Rows times 1661440 Rows (cross product) = 260M or so and then you
> filter out the 157 original rows and their matches. Note that an
> explain ANALYZE might shed more light, but given the high cost in this
> query for the nested loop I'm guessing the only thing you can do is
> throw more work_mem at it. But it's fundamentally flawed in design I
> think.
The explain analyze runs >10 mins and then I just aborted it.
WW49 is basically between 5/8 and 5/15, unfortunately, it's not actually
just the base dates, it's also the time.
eg: 200949|5/8/2009 7:00:00am|5/15/2009 6:59:59AM
The definition of WW or a "day" is actually between
eg: 5/8 7am to 5/9 6:59:59am
> If you're always working with dates maybe joining on
> date_trunc('day',test_run_start_date)=date_trunc('day',startdate')
> with an index on both terms will work?
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