Re: Indexes and statistics
| От | David Witham |
|---|---|
| Тема | Re: Indexes and statistics |
| Дата | |
| Msg-id | CFA248776934FD43847E740E43C346D199DC18@ozimelb03.ozicom.com обсуждение исходный текст |
| Ответ на | Indexes and statistics ("David Witham" <davidw@unidial.com.au>) |
| Ответы |
Re: Indexes and statistics
|
| Список | pgsql-sql |
Tom,
I'm running PostgreSQL 7.3.2 on Red Hat Linux 7.3 with 512Mb RAM.
The table definition is:
Table "public.cdr" Column | Type | Modifiers
-----------------------+-----------------------+-----------carrier_id | integer | not
nullfile_id | integer | not nullservice_num | character varying(10) | not nullday
| date | not nulltime | integer | not nulldestination
| character varying(20) | not nullduration | integer | not nullcharge_wholesale
|numeric(8,2) | not nullcharge_band_id | integer | charge_retail | numeric(8,2)
| not nullrate_plan_id | integer | not nullitem_code | integer |
notnullcust_id | integer | not nullbill_id | integer | prefix
| character varying(12) | charge_wholesale_calc | numeric(8,2) |
Indexes: cdr_ix1 btree ("day"), cdr_ix2 btree (service_num), cdr_ix3 btree (cust_id), cdr_ix4
btree(bill_id), cdr_ix5 btree (carrier_id), cdr_ix6 btree (file_id)
Does this make it a "wide" table?
The data arrives ordered by service_num, day, time. This customer has one primary service_num that most of the calls
aremade from. Therefore each day a clump of CDRs will be loaded for that customer, interspersed with CDRs from all the
othercustomers. Therefore the distribution of records for a service_num is clumpy but evenly distributed throughout the
table.For a customer with a single primary number, this result applies to the customer as a whole. For a customer with
manyservice_num's the result is a little more doubtful depending on whether their service_num's arrive sequentially or
not.This would not necessarily be the case.
I hope this makes sense. Does it help any?
Thanks,
David
-----Original Message-----
From: Tom Lane [mailto:tgl@sss.pgh.pa.us]
Sent: Wednesday, 18 February 2004 16:10
To: David Witham
Cc: pgsql-sql@postgresql.org
Subject: Re: [SQL] Indexes and statistics
"David Witham" <davidw@unidial.com.au> writes:
> One of the customers is quite large (8.3% of the records):
Hmm. Unless your rows are quite wide, a random sampling of 8.3% of the
table would be expected to visit every page of the table, probably
several times. So the planner's cost estimates do not seem out of line
to me; an indexscan *should* be slow. The first question to ask is why
the deviation from reality. Are the rows for that customer ID likely to
be physically concentrated into a limited number of physical pages?
Do you have so much RAM that the whole table got swapped in, eliminating
the extra I/O that the planner is expecting?
regards, tom lane
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