On Tuesday, October 9, 2012 1:40:08 AM UTC+5:30, Steve Crawford wrote:
> On 10/08/2012 08:26 AM, Navaneethan R wrote:
>
> > Hi all,
>
> >
>
> > I have 10 million records in my postgres table.I am running the
> > database in amazon ec2 medium instance. I need to access the last week data
> > from the table.
>
> > It takes huge time to process the simple query.So, i throws time out
> > exception error.
>
> >
>
> > query is :
>
> > select count(*) from dealer_vehicle_details where modified_on between
> > '2012-10-01' and '2012-10-08' and dealer_id=270001;
>
> >
>
> > After a lot of time it responds 1184 as count
>
> >
>
> > what are the ways i have to follow to increase the performance of this
> > query?
>
> >
>
> > The insertion also going parallel since the daily realtime updation.
>
> >
>
> > what could be the reason exactly for this lacking performace?
>
> >
>
> >
>
> What version of PostgreSQL? You can use "select version();" and note
>
> that 9.2 has index-only scans which can result in a substantial
>
> performance boost for queries of this type.
>
>
>
> What is the structure of your table? You can use "\d+
>
> dealer_vehicle_details" in psql.
>
>
>
> Have you tuned PostgreSQL in any way? If so, what?
>
>
>
> Cheers,
>
> Steve
>
>
>
>
>
> --
>
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version():
PostgreSQL 8.4.8 on i686-pc-linux-gnu, compiled by GCC gcc-4.5.real
(Ubuntu/Linaro 4.5.2-8ubuntu4) 4.5.2, 32-bit
Desc:
Table
"public.dealer_vehicle_details"
Column | Type |
Modifiers | Storage | Description
----------------+--------------------------+-------------------------------------------------------------------------+---------+-------------
id | integer | not null default
nextval('dealer_vehicle_details_new_id_seq'::regclass) | plain |
vin_id | integer | not null
| plain |
vin_details_id | integer |
| plain |
price | integer |
| plain |
mileage | double precision |
| plain |
dealer_id | integer | not null
| plain |
created_on | timestamp with time zone | not null
| plain |
modified_on | timestamp with time zone | not null
| plain |
Indexes:
"dealer_vehicle_details_pkey" PRIMARY KEY, btree (id)
"idx_dealer_sites_id" UNIQUE, btree (id) WHERE dealer_id = 270001
"idx_dealer_sites_id_526889" UNIQUE, btree (id) WHERE dealer_id = 526889
"idx_dealer_sites_id_9765" UNIQUE, btree (id, vin_id) WHERE dealer_id = 9765
"idx_dealer_sites_id_9765_all" UNIQUE, btree (id, vin_id, price, mileage,
modified_on, created_on, vin_details_id) WHERE dealer_id = 9765
"mileage_idx" btree (mileage)
"price_idx" btree (price)
"vehiclecre_idx" btree (created_on)
"vehicleid_idx" btree (id)
"vehiclemod_idx" btree (modified_on)
"vin_details_id_idx" btree (vin_details_id)
"vin_id_idx" btree (vin_id)
Foreign-key constraints:
"dealer_vehicle_master_dealer_id_fkey" FOREIGN KEY (dealer_id) REFERENCES
dealer_dealer_master(id) DEFERRABLE INITIALLY DEFERRED
"dealer_vehicle_master_vehicle_id_fkey" FOREIGN KEY (vin_id) REFERENCES
dealer_vehicle(id) DEFERRABLE INITIALLY DEFERRED
"dealer_vehicle_master_vin_details_id_fkey" FOREIGN KEY (vin_details_id)
REFERENCES vin_lookup_table(id) DEFERRABLE INITIALLY DEFERRED
Has OIDs: no
After created the index for WHERE clause "WHERE dealer_id = 270001"..It is
performing better.I have more dealer ids Should I do it for each dealer_id?
And The insertion service also happening background parallel.
So, What are the important steps I should follow frequently to keep the
database healthy?
Since, the insertion is happening all time..It would reach millions of millions
soon.What are precautions should be followed?
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