Spatial Query Units
Hi,
What is the default coordinate systems?
Say, if the default is in degrees, when and how should I change the default to radians? Would it be in creating the database table or in doing spatial query?
Please provide an example at your convenience.
Thanks for your advice.
Hi,
Geodetic coordinate system units are always specified in decimal degrees.
There is no "default" coordinate system in Oracle per se. If you want data to be treated as geodetic, then you need to specify a geodetic coordinate system srid with the data.
If you don't specify a coordinate system with the data, then spatial assumes your data is Cartesian, so even if you specify numbers that are typically used in a geodetic coordinate system, the data will be treated as Cartesian.
You should never need to specify coordinates in any other format, except for one function in spatial, which is sdo_util.point_at_bearing, which takes radians as the default. There is a function (sdo_util.convert_unit) which allows you to convert freely between decimal degrees and radians.
Hope this helps,
dan
Similar Messages
-
Performance issue with Spatial query
Need inputs to optimize a spatial query that takes 9 seconds to return 34410 rows. All tables have been analyzed. Plan shows indexes columns. Details below :
SELECT count(*) FROM (select ANT_DIR_GEOLOC , decode(D_UL_SQE_LOW,0,0,D_UL_SQE_LOW/D_UL_SQE_CHECK) as D_UL_SQE_BAD_SECTORS
from dae_admin.VIEW_D_UL_SQE_BAD_SECTOR G , SECTORS S Where G.SECTOR_ID = S.SECTOR_ID and WEEK_NUMBER=32 and
WEEK_NUMBER_YEAR=2007 and WEEKEND = 'N')
WHERE MDSYS.SDO_FILTER(ANT_DIR_GEOLOC, MDSYS.SDO_GEOMETRY(2003, 99900001,NULL, MDSYS.SDO_ELEM_INFO_ARRAY(1, 1003,
3),MDSYS.SDO_ORDINATE_ARRAY(-1.06449263071068E7,3111428.11503326,-8140237.76425813,5605276.61542001)), 'querytype=WINDOW') ='TRUE'
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 146 | | 26699 (1)| 00:05:21 |
| 1 | SORT AGGREGATE | | 1 | 146 | | | |
|* 2 | HASH JOIN | | 1123 | 160K| | 26699 (1)| 00:05:21 |
| 3 | PARTITION RANGE ALL | | 1123 | 152K| | 603 (1)| 00:00:08 |
| 4 | TABLE ACCESS BY LOCAL INDEX ROWID | SECTORS | 1123 | 152K| | 603 (1)| 00:00:
|* 5 | DOMAIN INDEX | SECTORS_ANTDIR_SX | | | | | |
| 6 | VIEW | VIEW_D_UL_SQE_BAD_SECTOR | 20510 | 140K| | 26095 (1)| 00:05:14 |
| 7 | HASH GROUP BY | | 20510 | 901K| | 26095 (1)| 00:05:14 |
| 8 | VIEW | VIEW_D_UL_SQE_BAD_CARRIER | 984K| 42M| | 26095 (1)| 00:05:14 |
| 9 | HASH GROUP BY | | 984K| 73M| 180M| 26095 (1)| 00:05:14 |
| 10 | TABLE ACCESS BY LOCAL INDEX ROWID| FACT_DAILY_CHANNEL_STATS | 395K| 12M| | 603
| 11 | NESTED LOOPS | | 984K| 73M| | 8179 (1)| 00:01:39 |
| 12 | MERGE JOIN CARTESIAN | | 2 | 90 | | 4 (0)| 00:00:01 |
| 13 | TABLE ACCESS BY INDEX ROWID | NETWORK_PARAMETERS | 1 | 19 | | 2 (0)| 00:00
|* 14 | INDEX RANGE SCAN | NP_NAME_IDX | 1 | | | 1 (0)| 00:00:01 |
| 15 | BUFFER SORT | | 5 | 130 | | 2 (0)| 00:00:01 |
| 16 | TABLE ACCESS BY INDEX ROWID | DIM_TIME | 5 | 130 | | 2 (0)| 00:00:01 |
|* 17 | INDEX RANGE SCAN | DIM_TIME_WEEK_3_IX | 5 | | | 1 (0)| 00:00:01 |
| 18 | PARTITION RANGE ITERATOR | | 395K| | | 2139 (1)| 00:00:26 |
|* 19 | INDEX RANGE SCAN | FA_DCC_EVENT_DATE_NP_ID | 395K| | | 2139 (1)| 00:00:26 |
CREATE OR REPLACE VIEW VIEW_D_UL_SQE_BAD_SECTOR
(SECTOR_ID, WEEK_NUMBER_YEAR, WEEK_NUMBER, WEEKEND, D_UL_SQE_LOW,
D_UL_SQE_CHECK)
AS
SELECT sector_id,
week_number_year,
week_number,
weekend,
SUM(d_ul_sqe_low) d_ul_sqe_low,
SUM(d_ul_sqe_check) d_ul_sqe_check
FROM view_d_ul_sqe_bad_carrier
GROUP BY sector_id, week_number_year, week_number, weekend
view_d_ul_sqe_bad_carrier:
SELECT /*+ index(f) */
f.sector_id,
f.channel,
f.br_id,
t.week_number_year,
t.week_number,
t.weekend,
SUM(f.np_value_numerator) d_ul_sqe_low,
SUM(f.np_value_denominator) d_ul_sqe_check
FROM fact_daily_channel_stats f, network_parameters p, dim_time t
WHERE f.np_id = p.np_id
AND f.event_date = t.event_date
AND p.name = 'DL_UL_SQE_LOW_RATE'
GROUP BY f.sector_id, f.channel, f.br_id, t.week_number_year, t.week_number, t.weekend
fact_daily_channel_stats is a table that isPartitioned on event date.Ivan - Yes, all the columns in the filter are indexed.
Row Count:
==========
fact_daily_channel_stats - 101263303
network_parameters - 168
SECTORS - 105216
dim_time - 7306
Any tip/ clue on re-writing the query would be of great help.
Rich - Below is the response from our Spatial Team :
1. Projection:
We are working in Mercator projection. Since Oracle has out of the box Mercator with datum NAD 27 (SRID=49155), and we needed Mercator with NAD 83, we defined our own projection with SRID = 99900001, which you are seeing in our query. Projection is defined as:
insert into sdo_coord_ref_system
SELECT 99900001, a.coord_ref_sys_name, a.coord_ref_sys_kind,
a.coord_sys_id, a.datum_id, 10076,
2000023, a.projection_conv_id, a.cmpd_horiz_srid,
a.cmpd_vert_srid, a.information_source, a.data_source,
a.is_legacy, a.legacy_code, 'PROJCS["Mercator", GEOGCS [ "NAD 83", DATUM ["NAD 83", SPHEROID ["GRS 80", 6378137, 298.257222101]], PRIMEM [ "Greenwich", 0.000000 ], UNIT ["Decimal Degree", 0.01745329251994330]], PROJECTION ["Mercator"], UNIT ["Meter", 1.000000000000]]', a.legacy_cs_bounds, a.is_valid, a.supports_sdo_geometry
FROM mdsys.sdo_coord_ref_sys a where srid=49155;
2. Metadata for SECTORS table is:
INSERT INTO USER_SDO_GEOM_METADATA (TABLE_NAME, COLUMN_NAME, DIMINFO, SRID)
VALUES('SECTORS', 'GEOLOC',SDO_DIM_ARRAY(SDO_DIM_ELEMENT('X', -20037566, 20037566, 1),
SDO_DIM_ELEMENT('Y', -71957574, 71957574, 1)),99900001);
which means tolerance is 1 meter.
3. Precision - I don't think we need to supply to MDSYS.SDO_FILTER coordinates with such great precision. Maybe rounding them (by dropping fractional part at all, 1 meter should be enough) would help. If not - then maybe we need to round coordinates we generate when converting from longitude/latitude to Mercator and store in SECTORS table. But on the other hand SECTORS table defines tolerance of 1 meter in metadata, and spatial index should use that tolerance. -
Spatial query w/ logical operators in a subquery on Linux using Oracle 1
Hello...
I'm being given XML that I need to parse and create SQL from it. Below my signature is the SQL that I generate (its a simple example) and can be more elaborate due to the logical operators (AND and OR) given in the XML.
The problem that we're seeing is performance-based: when one of the logical operator queries is Spatial-based, like below. Running it in JDBC, the query never returns.
The spatial query just by itself returns ~300 rows (takes approximately 0.2 seconds). The "PERCENTAGE" query by itself returns about ~40000 rows (takes approximately ~.8 seconds).
If we run the query below with 2 non-spatial subqueries, the result returns and performance is very acceptable (~ 0.9 seconds)-- the result set is about 80000 rows.
Thanks,
Jim
=========================
SELECT
COLUMN_WE_WANT , RESULTS
FROM
TABLE_A
WHERE
COLUMN_WE_WANT IN
SELECT
COLUMN_WE_WANT
FROM
TABLE_A
WHERE
SDO_OVERLAPBDYINTERSECT(TABLE_A.MY_SPATIAL_COLUMN,
SDO_GEOMETRY(2003,
4326,
null,
SDO_elem_info_array( 1 , 3 , 1 ),
SDO_ORDINATE_ARRAY( lng_1,lat_1 , lng_2,lat_2 , lng_3,lat_3 , lng_4,lat_4 , lng_1,lat_1 )
) = 'TRUE'
OR
COLUMN_WE_WANT IN
SELECT
COLUMN_WE_WANT
FROM
TABLE_B
WHERE
SOME_PERCENTAGE_RATE_COLUMN < 90
)Its difficult to comment without seeing the execution plan. You should trace this query to get a better idea of exactly what's happening.
Depending on the complexity of the logical operators, I would look at doing this using set operations. So for an OR you might have...
SELECT COLUMN_WE_WANT, RESULTS
FROM TABLE_A
WHERE COLUMN_WE_WANT IN (
SELECT COLUMN_WE_WANT
FROM TABLE_A
WHERE SDO_OVERLAPBDYINTERSECT(TABLE_A.MY_SPATIAL_COLUMN,SDO_GEOMETRY(2003,4326,
NULL, SDO_elem_info_array( 1 , 3 , 1 ),
SDO_ORDINATE_ARRAY( lng_1,lat_1 , lng_2,lat_2 , lng_3,lat_3 , lng_4,lat_4 , lng_1,lat_1 ) )) = 'TRUE'
UNION
SELECT COLUMN_WE_WANT
FROM TABLE_B
WHERE SOME_PERCENTAGE_RATE_COLUMN < 90)For an AND, you would use INTERSECT.
Edited by: Reggie to remove the extra INTERSECT -
Spatial query w/ logical operators in a subquery on Linux using Oracle 10g
Hello...
I'm being given XML that I need to parse and create SQL from it. Below my signature is the SQL that I generate (its a simple example) and can be more elaborate due to the logical operators (AND and OR) given in the XML.
The problem that we're seeing is performance-based: when one of the logical operator queries is Spatial-based, like below. Running it in JDBC, the query never returns.
The spatial query just by itself returns ~300 rows (takes approximately 0.2 seconds). The "PERCENTAGE" query by itself returns about ~40000 rows (takes approximately ~.8 seconds).
If we run the query below with 2 non-spatial subqueries, the result returns and performance is very acceptable (~ 0.9 seconds)-- the result set is about 80000 rows.
Thanks,
Jim
=========================
SELECT
COLUMN_WE_WANT , RESULTS
FROM
TABLE_A
WHERE
COLUMN_WE_WANT IN
SELECT
COLUMN_WE_WANT
FROM
TABLE_A
WHERE
SDO_OVERLAPBDYINTERSECT(TABLE_A.MY_SPATIAL_COLUMN,
SDO_GEOMETRY(2003,
4326,
null,
SDO_elem_info_array( 1 , 3 , 1 ),
SDO_ORDINATE_ARRAY( lng_1,lat_1 , lng_2,lat_2 , lng_3,lat_3 , lng_4,lat_4 , lng_1,lat_1 ) )
) = 'TRUE'
OR
COLUMN_WE_WANT IN
SELECT
COLUMN_WE_WANT
FROM
TABLE_B
WHERE
SOME_PERCENTAGE_RATE_COLUMN < 90
)There is a spatial forum. You will likely have a far better experience there.
-
SSRS - SQL Server Spatial Query
Hi, I was hoping someone could help me.
I'm creating an SSRS report with Map and importing points via SQL Server Spatial query. I have a db table with 8,000 points bu the import only ever brings in the first 2,000 queried (no matter what the filter is). Is there a limitation in SSRS that can be
changed via a configuration setting?
Many thanks in advance for any help on this,
Steve.Really appreciate you coming back so quick Olaf.
No its a straightforward query (select AccountNum, Name, Address, Longitude, Lattitude, UrbanArea, County, MI_STYLE, MI_PRINX, SP_GEOMETRY from <table>)
Just to give the whole picture. I had 8,000 points in MapInfo version 10. I imported them to SQL Server 2012 via MapInfo Easy Loader.
The SQL Server spatial points import to SSRS and the Bing overlay map works great (so they import to correct space) but its only a subset of the points that import. I can pick any subset using the WHERE clause but I cannot get all 8,000 points.
I was hoping there was a configuration setting somewhere in SSRS that was causing the problem. -
Spatial query in a distributed environment
We want to compare two spatial tables.
We have (at present identical) tables on two computers GEOSRV0 and NB25.
On both we have Oracle 10.1.0.2. GEOSRV0 has the WINDOWS 2000 operating system installed, on NB25 there is WINDOWS XP Professional.
The table is EZG:
GEOMETRY MDSYS.SDO_GEOMETRY
GEOMETRY_SK VARCHAR2(15)
EZG_NR NOT NULL NUMBER
FLAECHE FLOAT(126)
The primary key is EZG_NR.
There is a private database link for the user WLKREP on NB25 to user WLKREP on GEOSRV0.
The USER_SDO_GEOM_METADATA are the same on both machines (same SRID, same DIMINFO).
The following query â we check, if for each record on NB25 is a record on GEOSRV0 - works normally:
SQL> select ezg_nr from
2 ezg a where not exists
3 (select 1 from wlkrep.ezg@wlk where ezg_nr=a.ezg_nr);
no rows selected
This is correct.
We can read the geometry on the remote database:
SQL> select * from wlkrep.ezg@wlk where rownum=1;
GEOMETRY(SDO_GTYPE, SDO_SRID, SDO_POINT(X, Y, Z), SDO_ELEM_INFO, SDO_ORDINATES)
GEOMETRY_SK EZG_NR FLAECHE
SDO_GEOMETRY(3003, 1040001, NULL, SDO_ELEM_INFO_ARRAY(1, 1003, 1), SDO_ORDINATE_ARRAY(182285.489, 405672.889, 0, 182248.701, 405644.889, 0, 182241.984, 405639.771, 0, 182171.753, 405538.805, 0, 182130.953, 405498.016, 0, 181971.1, 405274.91
6, 0, 182223.796, 405176.609, 0, 182292.701, 405204.37, 0, 182439.028, 405451.66
, 0, 182573.506, 405628.153, 0, 182643.64, 405726.59, 0, 182718.945, 405764.608,
0, 182780.371, 405805.57, 0, 182862.191, 405843.931, 0, 182966.69, 405933.13, 0
, 183131.065, 406064.852, 0, 183205.098, 406160.637, 0, 183231.535, 406220.959,
0, 183266.473, 406265.415, 0, 183308.669, 406303.524, 0, 183295.305, 406364.696,
0, 183204.283, 406331.35, 0, 183161.835, 406299.691, 0, 183134.554, 406243.403,
GEOMETRY(SDO_GTYPE, SDO_SRID, SDO_POINT(X, Y, Z), SDO_ELEM_INFO, SDO_ORDINATES)
GEOMETRY_SK EZG_NR FLAECHE
0, 183080.454, 406171.548, 0, 183027.376, 406123.698, 0, 182914.558, 406039.291
, 0, 182770.335, 405973.138, 0, 182593.691, 405886.413, 0, 182443.506, 405795.85
2, 0, 182343.293, 405713.991, 0, 182285.489, 405672.889, 0))
13 304906.065
Now we want to compare the geometry and get
SQL> select a.ezg_nr from
2 wlkrep.ezg@wlk b, ezg a where a.ezg_nr=b.ezg_nr and
3 sdo_equal(a.geometry,b.geometry) != 'TRUE';
select a.ezg_nr from
ERROR at line 1:
ORA-03113: end-of-file on communication channel
Only comparing two elements gives the same result
SQL> select a.ezg_nr from
2 wlkrep.ezg@wlk b, ezg a where a.ezg_nr=640 and
3 b.ezg_nr = 640 and
4 sdo_equal(a.geometry,b.geometry) = 'TRUE';
select a.ezg_nr from
ERROR at line 1:
ORA-03113: end-of-file on communication channel
Even if we query a non existing element
select count(*) from ezg where ezg_nr=99999;
COUNT(*)
0
SQL> select a.ezg_nr from
2 wlkrep.ezg@wlk b, ezg a where a.ezg_nr=99999 and
3 b.ezg_nr = 99999 and
4 sdo_equal(a.geometry,b.geometry) = 'TRUE';
select a.ezg_nr from
ERROR at line 1:
ORA-03113: end-of-file on communication channel
Is this a bug or is a distributed spatial query not supported?
The following statement works:
SQL> select a.ezg_nr from
2 wlkrep.ezg@wlk a where not exists
3 (select 1 from ezg b where
4 b.ezg_nr=a.ezg_nr and
5 sdo_equal(b.geometry,a.geometry)='TRUE');
no rows selected
Regards
KarlActually, I have filed a TAR to Oracle on this. I also spoke to Steve Muench about it at OracleWorld, briefly. As of today, I'm trying to add to DataScroller.java to make it implement java.io.Serializable (with no luck...maybe someone can comment on what I'm doing wrong).
Here's what I have done so far.
Changed DataScroller.java (located in bc4jhtmlsrc.zip) to the following:
public class DataScroller implements java.io.Serializable
I added the following members per the docs on java.io.Serializable
private void writeObject(java.io.ObjectOutputStream out)
throws IOException
// really don't need to save state. Next call will recompute what's necessary
private void readObject(java.io.ObjectInputStream in)
throws IOException, ClassNotFoundException
// really don't need to load state. Next call will recompute what's necessary
I then used jar xvf to "unjar" datatags.jar, replaced DataScroller.class with my version and used
jar cv0Mf datatags.jar META-INF/* oracle/*
to recreate the datatags.jar. My file is not 100% the exact same as their file, but it looks to be right to me. I ended up doing it this way because the oracle\ord\* classes are not in the bc4jhtmlsrc.zip, only in the jar file and felt this was the "safest" way to include the correct contents of the file.
HOWEVER -- I'm sorry to say that I've then tried to run my app and get the same issue.
Thanks,
Jeff -
Spatial Query with multiple geometries from 2 tables
Hi,
I'm using Oracle 8.1.7. I am trying to do a spatial query on two tables with multiple geometries. There are two spatial tables. One made up of points and one made up of polygons. There are 829551 rows in the table of points and 1817795 rows in the table with polygons...
I want to find all polygons where one of this points is within it...
This query is pretty intensive querying two large spatial tables against each other and so I need to find the most efficient way of running this query. I've been running variations of my query for the last two week and every time it's bombed out with various errors after 12-24 hrs processing like out of memory, out of tablespace, out of processing, invalid index etc etc etc. I need to get this query run asap... Any tips would be gratefully appreciated..
For the session running the query I've allocated 16M sort area with
ALTER SESSION SET SORT_AREA_SIZE=16777216;
Below is the query I'm running... How can I improve this please? BTW PARCEL_OVERLAPS contains the points and TP$_PARCEL_AREAS the polygons.
SELECT lu.LNU_PARCEL_ID
FROM
seventy.PARCEL_OVERLAPS po,
imap_topol.TP$_PARCEL_AREAS pa,
TP$_PARCEL_CENTROID_AREA pca,
TDCR_LAND_UNIT lu
WHERE
SDO_FILTER(po.geometry, pa.area,
'querytype=WINDOW') = TRUE and
sdo_within_distance(po.geometry,pa.area,'distance=0')='TRUE' and
pa.delete_date is null and
Lu.LNU_LAND_UNIT_UNIQUE_NUM = pca.CENTROID_ID and
pa.AREA_ID = pca.AREA_ID and
pca.DELETE_DATE IS NULL and
pa.DELETE_DATE IS NULL;Albert,
Thanks for your reply and the tips you've given. The tp$_parcel_areas table will always be bigger so I've changed the order to sdo_within_distance(pa.area,po.geometry,'distance=0')='TRUE'. The requested counts for those queries are
12:26:29 [email protected]:SQL> select count(*)
13:46:22 2 from seventy.PARCEL_OVERLAPS;
COUNT(*)
612
13:48:12 [email protected]:SQL> select count(*)
13:48:17 2 from imap_topol.TP$_PARCEL_AREAS pa,
13:48:21 3 TP$_PARCEL_CENTROID_AREA pca
13:48:21 4 where pca.DELETE_DATE IS NULL
13:48:21 5 and pa.DELETE_DATE IS NULL
13:48:21 6 and pa.AREA_ID = pca.AREA_ID;
COUNT(*)
1310665
There was no reason for both filter and within_distance. I did try use the anyinteract but for some reason that does not return the desired results(I've added one id row as a test to make sure it returns desired results). Plus Oracle have recomended using the within distance for better performance..
so the explan plan for
14:38:37 [email protected]:SQL> EXPLAIN PLAN FOR
14:38:50 2 SELECT lu.LNU_PARCEL_ID
14:38:50 3 FROM
14:38:50 4 seventy.PARCEL_OVERLAPS po,
14:38:50 5 imap_topol.TP$_PARCEL_AREAS pa,
14:38:50 6 TP$_PARCEL_CENTROID_AREA pca,
14:38:50 7 TDCR_LAND_UNIT lu
14:38:50 8 WHERE
14:38:50 9 sdo_within_distance(pa.area,po.geometry,'distance=0')='TRUE' and
14:38:50 10 pa.delete_date is null and
14:38:50 11 Lu.LNU_LAND_UNIT_UNIQUE_NUM = pca.CENTROID_ID and
14:38:50 12 pa.AREA_ID = pca.AREA_ID and
14:38:50 13 pca.DELETE_DATE IS NULL and
14:38:50 14 pa.DELETE_DATE IS NULL;
is
Plan Table
| Operation | Name | Rows | Bytes| Cost | Pstart| Pstop |
| SELECT STATEMENT | | 4G|32920G| 547M| | |
| NESTED LOOPS | | 4G|32920G| 547M| | |
| MERGE JOIN | | 547M| 2029G| 230124 | | |
| SORT JOIN | | 1M| 36M| 85014 | | |
| MERGE JOIN | | 1M| 36M| 50019 | | |
| SORT JOIN | | 1M| 17M| 21650 | | |
| TABLE ACCESS FULL |TP$_PARCE | 1M| 17M| 485 | | |
| SORT JOIN | | 1M| 22M| 28369 | | |
| TABLE ACCESS FULL |TDCR_LAND | 1M| 22M| 2127 | | |
| SORT JOIN | | 42K| 160M| 145111 | | |
| TABLE ACCESS FULL |TP$_PARCE | 42K| 160M| 12697 | | |
| TABLE ACCESS FULL |PARCEL_OV | 817 | 3M| 1 | | |
14:43:14 [email protected]:SQL> explain plan for
14:43:23 2 SELECT pa.AREA_ID
14:43:23 3 FROM seventy.PARCEL_OVERLAPS po,
14:43:23 4 imap_topol.TP$_PARCEL_AREAS pa
14:43:23 5 WHERE SDO_RELATE(po.geometry, pa.area,'mask=ANTINTERACT querytype=WINDOW') = 'TRUE'
14:43:23 6 and pa.DELETE_DATE IS NULL;
Plan Table
| Operation | Name | Rows | Bytes| Cost | Pstart| Pstop |
| SELECT STATEMENT | | 6M| 50G| 10M| | |
| NESTED LOOPS | | 6M| 50G| 10M| | |
| TABLE ACCESS FULL |PARCEL_OV | 817 | 3M| 1 | | |
| TABLE ACCESS FULL |TP$_PARCE | 850K| 3G| 12697 | | |
14:45:03 [email protected]:SQL> explain plan for
14:45:04 2 SELECT pa.AREA_ID
14:45:05 3 FROM seventy.PARCEL_OVERLAPS po,
14:45:05 4 imap_topol.TP$_PARCEL_AREAS pa
14:45:05 5 WHERE SDO_RELATE(pa.area, po.geometry,'mask=ANTINTERACT querytype=WINDOW') = 'TRUE'
14:45:05 6 and pa.DELETE_DATE IS NULL;
Plan Table
| Operation | Name | Rows | Bytes| Cost | Pstart| Pstop |
| SELECT STATEMENT | | 6M| 50G| 863554 | | |
| NESTED LOOPS | | 6M| 50G| 863554 | | |
| TABLE ACCESS FULL |TP$_PARCE | 850K| 3G| 12697 | | |
| TABLE ACCESS FULL |PARCEL_OV | 817 | 3M| 1 | | |
-------------------------------------------------------------------------------- -
Export with embedded spatial query
I am trying to use the exp utility to export spatial data. I am using the "query" parameter to specify a spatial query based on another spatial layer.
I have two layers. Admin1 has lots of administrative boundaries. PE has three polygons in it over different sections of my data set. I want to get the data extracted from admin1 that exists in these areas to an export file(along with all the triggers and other related database objects). I was hoping this approach would work
I am getting errors saying that the identifier is too long.
Here is the par file:
file=1.exp
log=1.log
tables=(admin1, pe)
query="""WHERE mdsys.SDO_RELATE(GEOM1,pe.GEOM, 'MASK=INSIDE QUERYTYPE=WINDOW')='TRUE' OR SDO_RELATE(GEOM2,pe.GEOM, 'MASK=INSIDE QUERYTYPE=WINDOW')='TRUE'"""
I get:
Export: Release 10.2.0.1.0 - Production on Wed May 10 11:56:14 2006
Copyright (c) 1982, 2005, Oracle. All rights reserved.
Connected to: Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - Produc
tion
With the Partitioning, OLAP and Data Mining options
Export done in WE8MSWIN1252 character set and AL16UTF16 NCHAR character set
About to export specified tables via Conventional Path ...
. . exporting table ADMIN1
EXP-00056: ORACLE error 972 encountered
ORA-00972: identifier is too long
. . exporting table PE
EXP-00056: ORACLE error 972 encountered
ORA-00972: identifier is too long
Export terminated successfully with warnings.
Is this even possible? Can you use the exp query parameter to perform a spatial operation? Did this work? I am accustom to seeing record counts next to the exported tables, and they are not present in the output from exp. The export file is not empty. It exported all the features, not the subset I had requested.
How can I structure the query differently so that I get the export file with just the lines that fall within the polygons?
Thanks,
JohnI am trying to use the exp utility to export spatial data. I am using the "query" parameter to specify a spatial query based on another spatial layer.
I have two layers. Admin1 has lots of administrative boundaries. PE has three polygons in it over different sections of my data set. I want to get the data extracted from admin1 that exists in these areas to an export file(along with all the triggers and other related database objects). I was hoping this approach would work
I am getting errors saying that the identifier is too long.
Here is the par file:
file=1.exp
log=1.log
tables=(admin1, pe)
query="""WHERE mdsys.SDO_RELATE(GEOM1,pe.GEOM, 'MASK=INSIDE QUERYTYPE=WINDOW')='TRUE' OR SDO_RELATE(GEOM2,pe.GEOM, 'MASK=INSIDE QUERYTYPE=WINDOW')='TRUE'"""
I get:
Export: Release 10.2.0.1.0 - Production on Wed May 10 11:56:14 2006
Copyright (c) 1982, 2005, Oracle. All rights reserved.
Connected to: Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - Produc
tion
With the Partitioning, OLAP and Data Mining options
Export done in WE8MSWIN1252 character set and AL16UTF16 NCHAR character set
About to export specified tables via Conventional Path ...
. . exporting table ADMIN1
EXP-00056: ORACLE error 972 encountered
ORA-00972: identifier is too long
. . exporting table PE
EXP-00056: ORACLE error 972 encountered
ORA-00972: identifier is too long
Export terminated successfully with warnings.
Is this even possible? Can you use the exp query parameter to perform a spatial operation? Did this work? I am accustom to seeing record counts next to the exported tables, and they are not present in the output from exp. The export file is not empty. It exported all the features, not the subset I had requested.
How can I structure the query differently so that I get the export file with just the lines that fall within the polygons?
Thanks,
John -
Poor performance with Oracle Spatial when spatial query invoked remotely
Is anyone aware of any problems with Oracle Spatial (10.2.0.4 with patches 6989483 and 7003151 on Red Hat Linux 4) which might explain why a spatial query (SDO_WITHIN_DISTANCE) would perform 20 times worse when it was invoked remotely from another computer (using SQLplus) vs. invoking the very same query from the database server itself (also using SQLplus)?
Does Oracle Spatial have any known problems with servers which use SAN disk storage? That is the primary difference between a server in which I see this poor performance and another server where the performance is fine.
Thank you in advance for any thoughts you might share.OK, that's clearer.
Are you sure it is the SQL inside the procedure that is causing the problem? To check, try extracting the SQL from inside the procedure and run it in SQLPLUS with
set autotrace on
set timing on
SELECT ....If the plans and performance are the same then it may be something inside the procedure itself.
Have you profiled the procedure? Here is an example of how to do it:
Prompt Firstly, create PL/SQL profiler table
@$ORACLE_HOME/rdbms/admin/proftab.sql
Prompt Secondly, use the profiler to gather stats on execution characteristics
DECLARE
l_run_num PLS_INTEGER := 1;
l_max_num PLS_INTEGER := 1;
v_geom mdsys.sdo_geometry := mdsys.sdo_geometry(2002,null,null,sdo_elem_info_array(1,2,1),sdo_ordinate_array(0,0,45,45,90,0,135,45,180,0,180,-45,45,-45,0,0));
BEGIN
dbms_output.put_line('Start Profiler Result = ' || DBMS_PROFILER.START_PROFILER(run_comment => 'PARALLEL PROFILE')); -- The comment name can be anything: here it is related to the Parallel procedure I am testing.
v_geom := Parallel(v_geom,10,0.05,1); -- Put your procedure call here
dbms_output.put_line('Stop Profiler Result = ' || DBMS_PROFILER.STOP_PROFILER );
END;
SHOW ERRORS
Prompt Finally, report activity
COLUMN runid FORMAT 99999
COLUMN run_comment FORMAT A40
SELECT runid || ',' || run_date || ',' || run_comment || ',' || run_total_time
FROM plsql_profiler_runs
ORDER BY runid;
COLUMN runid FORMAT 99999
COLUMN unit_number FORMAT 99999
COLUMN unit_type FORMAT A20
COLUMN unit_owner FORMAT A20
COLUMN text FORMAT A100
compute sum label 'Total_Time' of total_time on runid
break on runid skip 1
set linesize 200
SELECT u.runid || ',' ||
u.unit_name,
d.line#,
d.total_occur,
d.total_time,
text
FROM plsql_profiler_units u
JOIN plsql_profiler_data d ON u.runid = d.runid
AND
u.unit_number = d.unit_number
JOIN all_source als ON ( als.owner = 'CODESYS'
AND als.type = u.unit_type
AND als.name = u.unit_name
AND als.line = d.line# )
WHERE u.runid = (SELECT max(runid) FROM plsql_profiler_runs)
ORDER BY d.total_time desc;Run the profiler in both environments and see if you can see where the slowdown exists.
regards
Simon -
Oracle 9i 10g slow spatial query
I have been using the following spatial query in oracle 9i to assign jurisdictions to spatial points.
SELECT /*+ordered*/ L.TCH_X_COORD, L.TCH_Y_COORD, T.NAME
FROM tis.tis_coordinates_hold_on L,
geospatial.mdt_admin_districts T
WHERE SDO_RELATE(T.GEOMETRY,
MDSYS.SDO_GEOMETRY(2001,41079,MDSYS.SDO_POINT_TYPE(tch_x_coord,tch_y_coord,NULL),
NULL,NULL),'mask=ANYINTERACT querytype=WINDOW') = 'TRUE'
AND tch_assigned_base_rte='M00001N'
By using the ordered hint I was able to double the retrieval rate. My problem is this: We are now migrating to oracle 10g, and the use of the ordered returns no rows (different incorrect results). If I remove the + ordered the results are correct, but I no longer get the increased speed of retrieval. Has anyone run into this problem, and can you suggest a way that I could speed up this query. As it stands now it takes more than 1/2 sec for each record retrieved, and I have millions of records !! Thanks.We're using 10.2.4.0 I believe I have found the reason the queries were different. When I dropped the spatial index and re-created it, the query returned the same rows as 9i. However, I still have an issue with the speed. 10g appears to be about 1/3 as fast as 9i was. It doesn't seem to make any difference whether I put in the +ordered or not. Our dba says just based on cpu and processing speed the server that has 10g should be significantly faster. Any comments? Thanks.
-
Spatial query on join view in another schema
Background:
I have a schema with tables containing four spatial columns per table. I have a second schema that contains join views of the tables in the first schema. The join view consists of the attributes and any other tabular data that is joined via foreign key to non-spatial tables and one of the four geometry columns. I have a third schema that owns no database objects of its own, but has select privilege to the second schema's view objects.
We are using Oracle 10.2.0.2 on a windows platform.
This worked in 9i, the problem only presented itself when we migrated to 10g.
Problem:
When I run a spatial query on a join view in the second schema(the schema that owns the object), it runs and returns results in about a second. When I run the exact same query in the third schema it routinely takes 20-30 seconds.
Here is the query that I run in both schemas with varying query times:
SELECT COUNT(*)
FROM two.join_view_a A
WHERE (MDSYS.SDO_FILTER(A.GEOM, SDO_GEOMETRY(2003,8307,NULL,SDO_ELEM_INFO_ARRAY(1,1003,3),SDO_ORDINATE_ARRAY(26.6396,26.5708,43.346,34.4083)),'QUERYTYPE=WINDOW')='TRUE');
Question:
Why does this happen?
What can I do to fix this problem?
Thanks,
JohnHave a read of this posting: Oracle spatial view runing slow as different user
There are details there about the 'optimizer_secure_view_merging' parameter and the effect it can have on cross schema views in 10.2 -
Index problem in a spatial query
I try to run following query in SQL Plus:
SELECT A.objectid FROM TABBDG A, TABREG B
WHERE A.objectid = 68 AND B.regionname = 'Hong2'
AND SDO_RELATE(A.geoloc, B.geoloc, 'mask=INSIDE querytype = WINDOW') = 'TRUE';
To find out weather or not objectid = 68 is inside of region (='Hong2"). I got following error messages:
ERROR at line 1:
ORA-13226: interface not supported without a spatial index
ORA-06512: at "MDSYS.MD", line 1723
ORA-06512: at "MDSYS.MDERR", line 8
ORA-06512: at "MDSYS.SDO_3GL", line 57
ORA-06512: at line 1
But when I try to add an index to table TABREG, I got following error:
ERROR at line 1:
ORA-29879: cannot create multiple domain indexes on a column list using same indextype
Seem to me that the index was already there. Can any one help me? Thanks.I found out the reason of problem. I used an old version of EasyLoader (4.5?). When I get the latest EasyLoader V6.5, there is no problem any more to run spatial query. You can get lates EasyLoader V6.5 from MapInfo or from me at: [email protected]
Thanks for all help. -
Spatial Query, Use Multiple Cores
Basic question, is SQL 2012 running on Windows 2008 R2 64 bit expected to use multiple cores to execute it's tasks?
I have a table of points, 480, that has 3 empty columns that are being updated from 3 separate tables of polygons via a spatial join based on an intersection (STIntersects) of the point and polygons. All of the data is in 4326 and all tables have spatial
indexes.
The server running this query has 32 logical cores, but only 1 core is used and it is maxed out. It takes 53 seconds to complete the update. I have over a million points that need this done. I want to assume that if SQL can access more cores it will complete
faster.
I've looked at the actual execution plan and there is a 99% cost on the spatial query.
update A
set CONGRESS_DISTRICT = B.DISTRICT, HOUSE_DISTRICT = C.DISTRICT, SENATE_DISTRICT = D.DISTRICT
from [LegislativeMapData2014].[dbo].[CNRM_INFORCE_EXTRACT093014_COMBINED_GEOCODED] A
inner join [LegislativeMapData2014].[dbo].[CONGRESS_2014] B
on A.FEATURE_SHAPE.STIntersects(B.FEATURE_SHAPE) = 1
inner join [LegislativeMapData2014].[dbo].[HOUSE_2014] C
on A.FEATURE_SHAPE.STIntersects(C.FEATURE_SHAPE) = 1
inner join [LegislativeMapData2014].[dbo].[SENATE_2014] D
on A.FEATURE_SHAPE.STIntersects(D.FEATURE_SHAPE) = 1
Is there anything I can do to improve the performance of the query? Do I need to hint the indexes? Or something else?
ThanksHi,
updating millions of records could lock your resource and other users may have trouble connecting or reading data.
In some cases, variable table is your friend, insert the data you needed to a variable table before issuing the update.
with that, you may need to have (nolock) on each table. eg.
[LegislativeMapData2014].[dbo].[CONGRESS_2014] (nolock)
Regards,
gioVhan
Please remember to mark the replies as answers if they help and unmark them if they provide no help. -
hi, there.
I am working Oracle Spatial 9.0.1 and I have a problem about the
performance of spaital query, can someone help me resolve it?
/*query 1*/
select t1.line_seg
from spatial_list_Traj
where sdo_within_distance(convert_trajseg_to_lineseg
(t1.line_seg), MDSYS.SDO_GEOMETRY(2003, NULL, NULL,
MDSYS.SDO_ELEM_INFO_ARRAY(1, 1003, 3), MDSYS.SDO_ORDINATE_ARRAY
(212.117, 352.613, 221.617, 362.708)), 'querytype=filter
distance=0.5') = 'TRUE';
/* query 2*/
select t1.line_seg
from spatial_list_traj
where object_id = 1 and sdo_within_distance
(convert_trajseg_to_lineseg(t1.line_seg), MDSYS.SDO_GEOMETRY
(2003, NULL, NULL, MDSYS.SDO_ELEM_INFO_ARRAY(1, 1003, 3),
MDSYS.SDO_ORDINATE_ARRAY(212.117, 352.613, 221.617,
362.708)), 'querytype=filter distance=0.5') = 'TRUE';
there are about 120,000 rows in the spatial_list_Traj table and
query 1 takes only 1 second to finish, which is a good result
but if I add another condition, like query 2, the time cost is
still 1 second. I thought it can be much faster since there is
only 48 rows whose object_id is 1. what I expected it to do was
for the optimizer to filter out the rows that match
the 'object_id = 1' criteria and then do a spatial query on the
filtered data.
PS: there are two indices--a b-tree index on column 'object_id'
and of course, a functional spatial index on column 'line_seg',
which is a R-tree.
thanks in advance
Hu CaoHi Hu,
The second query is probably not using the spatial index. The
spatial index indexes the whole table based on spatial
relationships, so even though you may have filtered out all but
48 rows, the spatial index has to be applied to all of the rows.
In this case, it is probable that all of the rows returned with
object_id=1 are being geometrically compared with your query
window, which may account for the extra time.
You may want to try a hint to tell the optimizer not to use the
index on object_id, i.e.
SELECT /*+NO_INDEX(spatial_list_traj object_id_index_name)*/
Hope this helps,
dan -
Spatial Query across schemas. one version enabled table another not -Hanged
Hi,
I am executing a PL/sql procedure where a Spatial query run across two schemas. One table(in x schema) is version enabled and second table(in y schema) is Unversioned. Add to that complexity I am running the procedure from third user logon. I think I have enough previleges, as I won't get any error message.
But, Procedure worked fine when there is no table is version enabled. It started giving problem when one table got version enabled.
I have tried by setting " DBMS_WM.Gotoworkspace('LIVE');" before running spatial query. But still no luck, process just hangs on the spatial query.
I tried by using physical name of the Table (table1_LT) which is making it to work. But, as per Workspace manager guide, applications, programs should NOT use, this physical tables(because it is not the correct way on versioned table).
1. How can I hint to my query, to use a table from only live version?
2. Why Query is hanging forever (even tried by leaving it over night....)
Normally it used to take one or two minutes(before versioning..)
I have posted it Workspace manager forum, But No Luck (people seems to be shy away after seeing "Spatial query" )
Any help is highly appriciatedHi,
I will need to know more details about the specific query you are performing. So, please do the following:
1. list the actual query that you are using
2. generate an explain plan of the query both before and after the table was version enabled. use @?/rdbms/admin/utlxpls or anything that generates the predicate information.
3. also, give any pertinent details about the table(size of the table, number of rows expected to be returned, column types in the table, etc).
Based on that, I will see if I can suggest a possible hint that may be able to improve the performance of your query.
Regards,
Ben
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