[postgis-users] Help: Performance of spatial query
Paul Ramsey
pramsey at refractions.net
Mon Mar 15 10:08:07 PST 2004
Check out the expand function, for a handy shortcut for creating a
"slightly larger" bbox to use for this problem.
Chris is right, the slowness is caused by using an expensive function
(buffer) in the midst of a high volume query.
On Monday, March 15, 2004, at 09:59 AM, chodgson at refractions.net wrote:
> I expect that using the geos function to buffer your point is slowing
> things
> down because it has to convert into a geos object and back toa postgis
> object.
> It would probably be better to just use the distance function, and
> then in
> order to index it, build a bounding box which is effectively your
> buffered
> point by using the minx() and miny() functions and string
> concatenation ie.
> build the wkt of a box object by concatenating some strings with the
> minx() and
> miny() function. Your where clause should look something like:
>
> WHERE NOD2.shape && (concatenated string using minx/y( NOD1.shape) )
> AND distance( NOD1.shape, NOD2.shape ) <= 0.2
>
> I don't know the exact syntax for the string stuff otherwise I'd give
> it to
> you...
>
> HTH.
> Chris
>
>
> Quoting Jeremy Palmer <jpalmer at paradise.net.nz>:
>
>> Hi,
>>
>> I have been trying to complete a query that tries to locate duplicate
>> points
>> i.e. points that have been accidentally created twice or more – These
>> points
>> may not exactly be in the same geometric position. My basic
>> methodology is
>> to complete a 0.2m proximity check for each geometry point in the
>> database.
>> The datum of the geometries is in NZGD2000 (basically the same
>> parameters as
>> WGS84).
>> To do this I was using the buffer function with the overlaps operator
>> to
>> find points within 0.000002 of a degree (~ 0.2m) of each other. I was
>> also
>> trying to stop the point reporting on itself by checking that NOD1.id
>> <
>> NOD2.id. However as explain query shows below my method produces a
>> Cartesian
>> product between the 2 aliases of the node table.
>>
>> Can anyone help me with constructing a more efficient query? I have
>> provided
>> the query explain and table details if that helps.
>>
>>
>> SELECT NOD1.id as nod_id1,
>> NOD2.id as nod_id2,
>> NOD1.shape as shape1,
>> NOD2.shape as shape2
>> FROM node NOD1,
>> node NOD2
>> WHERE NOD2.shape && buffer(NOD1.shape, 0.000002)
>> AND NOD1.id < NOD2.id;
>>
>> Explain Query was …
>>
>> Nested Loop (cost=590312.88..5062636139085.67 rows=3509048593179
>> width=288)
>> Join Filter: (("inner".shape && buffer("outer".shape, 2e-06::double
>> precision)) AND ("outer".id < "inner".id))
>> -> Seq Scan on crs_node nod1 (cost=0.00..379897.88 rows=10260188
>> width=144)
>> -> Materialize (cost=590312.88..903329.76 rows=10260188
>> width=144)
>> -> Seq Scan on crs_node nod2 (cost=0.00..379897.88
>> rows=10260188
>> width=144)
>>
>> Table "public. node"
>> Column | Type | Modifiers
>> -----------------+----------------------+-----------
>> id | integer | not null
>> cos_id_official | integer | not null
>> type | character varying(4) | not null
>> status | character varying(4) | not null
>> order_group_off | integer | not null
>> sit_id | integer |
>> alt_id | integer |
>> wrk_id_created | integer |
>> se_row_id | integer |
>> audit_id | integer | not null
>> shape | geometry |
>> Indexes:
>> "pkey_node" primary key, btree (id)
>> "nod_aud_id" unique, btree (audit_id)
>> "fk_nod_alt" btree (alt_id)
>> "fk_nod_cos" btree (cos_id_official)
>> "fk_nod_sit" btree (sit_id)
>> "fk_nod_wrk" btree (wrk_id_created)
>> "nod_shape_index" gist (shape)
>> Check constraints:
>> "$1" CHECK (srid(shape) = 104108)
>> "$2" CHECK (geometrytype(shape) = 'POINT'::text OR shape IS NULL)
>>
>> Thank you very much
>>
>> Jeremy Palmer
>>
>>
>>
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>>
>
>
>
>
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Paul Ramsey
Refractions Research
Email: pramsey at refractions.net
Phone: (250) 885-0632
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