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Spatial joining two line layers and checking intersection in PostgreSQL/PostGIS


ST_Intersects incorrectly returning false in PostGISPostgis ST_Intersects performanceReduce query time when using both MySQL and PostgreSQL with PostGISUpdating table setting a CASE with ST_IntersectionHow to intersect two polygon-layers in PostgreSQL/PostGIS?Difference between PostGIS ST_Intersects vs '=', QGIS and ArcGIS 'select by location'Intersection between an angle and a polygon (postgreSQL + postGIS or Python2.7 + shapely + psycopg2)Selecting points having 1, 3 or more lines intersecting using PostGISSlow PostGIS line intersection even with indexes






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








2















I have two line layers in PostgreSQL/PostGIS. I want to the select data which are not intersecting. When I am writing this query it is taking a lot of time. How can I make it faster and see the result?



SELECT Geometry into Qlayer5
FROM qlayer4, egmap_20170316_tmc_polyline
WHERE st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false


and I have also tried using right join but none of them giving output.



SELECT Geometry INTO Qlayer5
FROM qlayer4
RIGHT JOIN egmap_20170316_tmc_polyline ON
st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false









share|improve this question


























  • non-intersections are tricky; your query will result in a carestian product of both tables, that's why it is so slow. your join condition matches every pair of lines that do not intersect; so if table A has 1 row and table B 100, with no intersection between them, you will get 100 rows returned!

    – ThingumaBob
    Apr 15 at 8:33






  • 1





    ...or better, when table A has 3 rows and B 100, with no intersection, your query will return 300 rows. similar, with 1000 in A and 1000 in B, Postgres fetches 1000000 rows after computing each of them...

    – ThingumaBob
    Apr 15 at 9:01












  • Ya understand but i dont find any other way to filter out non intersected lines.i am trying your queries now .Do you have any suggestions?

    – poonam patel
    Apr 15 at 9:13












  • my suggestion is my answer. I'm just trying to explain why your query will fail with useless results after a lifetime of execution...,)

    – ThingumaBob
    Apr 15 at 9:17

















2















I have two line layers in PostgreSQL/PostGIS. I want to the select data which are not intersecting. When I am writing this query it is taking a lot of time. How can I make it faster and see the result?



SELECT Geometry into Qlayer5
FROM qlayer4, egmap_20170316_tmc_polyline
WHERE st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false


and I have also tried using right join but none of them giving output.



SELECT Geometry INTO Qlayer5
FROM qlayer4
RIGHT JOIN egmap_20170316_tmc_polyline ON
st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false









share|improve this question


























  • non-intersections are tricky; your query will result in a carestian product of both tables, that's why it is so slow. your join condition matches every pair of lines that do not intersect; so if table A has 1 row and table B 100, with no intersection between them, you will get 100 rows returned!

    – ThingumaBob
    Apr 15 at 8:33






  • 1





    ...or better, when table A has 3 rows and B 100, with no intersection, your query will return 300 rows. similar, with 1000 in A and 1000 in B, Postgres fetches 1000000 rows after computing each of them...

    – ThingumaBob
    Apr 15 at 9:01












  • Ya understand but i dont find any other way to filter out non intersected lines.i am trying your queries now .Do you have any suggestions?

    – poonam patel
    Apr 15 at 9:13












  • my suggestion is my answer. I'm just trying to explain why your query will fail with useless results after a lifetime of execution...,)

    – ThingumaBob
    Apr 15 at 9:17













2












2








2








I have two line layers in PostgreSQL/PostGIS. I want to the select data which are not intersecting. When I am writing this query it is taking a lot of time. How can I make it faster and see the result?



SELECT Geometry into Qlayer5
FROM qlayer4, egmap_20170316_tmc_polyline
WHERE st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false


and I have also tried using right join but none of them giving output.



SELECT Geometry INTO Qlayer5
FROM qlayer4
RIGHT JOIN egmap_20170316_tmc_polyline ON
st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false









share|improve this question
















I have two line layers in PostgreSQL/PostGIS. I want to the select data which are not intersecting. When I am writing this query it is taking a lot of time. How can I make it faster and see the result?



SELECT Geometry into Qlayer5
FROM qlayer4, egmap_20170316_tmc_polyline
WHERE st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false


and I have also tried using right join but none of them giving output.



SELECT Geometry INTO Qlayer5
FROM qlayer4
RIGHT JOIN egmap_20170316_tmc_polyline ON
st_intersects(qlayer59.Geometry,egmap_20170316_tmc_polyline.geom) = false






postgis intersection st-intersects






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Apr 15 at 5:33









Taras

3,6443 gold badges9 silver badges36 bronze badges




3,6443 gold badges9 silver badges36 bronze badges










asked Apr 15 at 3:49









poonam patelpoonam patel

536 bronze badges




536 bronze badges















  • non-intersections are tricky; your query will result in a carestian product of both tables, that's why it is so slow. your join condition matches every pair of lines that do not intersect; so if table A has 1 row and table B 100, with no intersection between them, you will get 100 rows returned!

    – ThingumaBob
    Apr 15 at 8:33






  • 1





    ...or better, when table A has 3 rows and B 100, with no intersection, your query will return 300 rows. similar, with 1000 in A and 1000 in B, Postgres fetches 1000000 rows after computing each of them...

    – ThingumaBob
    Apr 15 at 9:01












  • Ya understand but i dont find any other way to filter out non intersected lines.i am trying your queries now .Do you have any suggestions?

    – poonam patel
    Apr 15 at 9:13












  • my suggestion is my answer. I'm just trying to explain why your query will fail with useless results after a lifetime of execution...,)

    – ThingumaBob
    Apr 15 at 9:17

















  • non-intersections are tricky; your query will result in a carestian product of both tables, that's why it is so slow. your join condition matches every pair of lines that do not intersect; so if table A has 1 row and table B 100, with no intersection between them, you will get 100 rows returned!

    – ThingumaBob
    Apr 15 at 8:33






  • 1





    ...or better, when table A has 3 rows and B 100, with no intersection, your query will return 300 rows. similar, with 1000 in A and 1000 in B, Postgres fetches 1000000 rows after computing each of them...

    – ThingumaBob
    Apr 15 at 9:01












  • Ya understand but i dont find any other way to filter out non intersected lines.i am trying your queries now .Do you have any suggestions?

    – poonam patel
    Apr 15 at 9:13












  • my suggestion is my answer. I'm just trying to explain why your query will fail with useless results after a lifetime of execution...,)

    – ThingumaBob
    Apr 15 at 9:17
















non-intersections are tricky; your query will result in a carestian product of both tables, that's why it is so slow. your join condition matches every pair of lines that do not intersect; so if table A has 1 row and table B 100, with no intersection between them, you will get 100 rows returned!

– ThingumaBob
Apr 15 at 8:33





non-intersections are tricky; your query will result in a carestian product of both tables, that's why it is so slow. your join condition matches every pair of lines that do not intersect; so if table A has 1 row and table B 100, with no intersection between them, you will get 100 rows returned!

– ThingumaBob
Apr 15 at 8:33




1




1





...or better, when table A has 3 rows and B 100, with no intersection, your query will return 300 rows. similar, with 1000 in A and 1000 in B, Postgres fetches 1000000 rows after computing each of them...

– ThingumaBob
Apr 15 at 9:01






...or better, when table A has 3 rows and B 100, with no intersection, your query will return 300 rows. similar, with 1000 in A and 1000 in B, Postgres fetches 1000000 rows after computing each of them...

– ThingumaBob
Apr 15 at 9:01














Ya understand but i dont find any other way to filter out non intersected lines.i am trying your queries now .Do you have any suggestions?

– poonam patel
Apr 15 at 9:13






Ya understand but i dont find any other way to filter out non intersected lines.i am trying your queries now .Do you have any suggestions?

– poonam patel
Apr 15 at 9:13














my suggestion is my answer. I'm just trying to explain why your query will fail with useless results after a lifetime of execution...,)

– ThingumaBob
Apr 15 at 9:17





my suggestion is my answer. I'm just trying to explain why your query will fail with useless results after a lifetime of execution...,)

– ThingumaBob
Apr 15 at 9:17










2 Answers
2






active

oldest

votes


















5
















Non-intersections are tricky. To avoid a cartesian product of the joined tables you need to either




  • check against a collection/union of the joined tables' geometries:



    WITH
    col AS (
    SELECT ST_Collect(geom) AS geom
    FROM egmap_20170316_tmc_polyline
    )
    SELECT *
    FROM qlayer4 AS a
    JOIN col AS b
    ON NOT ST_Intersects(a.geom, b.geom)
    ;


    which will be rather inefficient for larger tables (indexes are less effective and the amount of vertices to traverse each time is extremely high)




  • or better, check against existence of intersections:



    SELECT *
    FROM qlayer4 AS a
    WHERE NOT EXISTS (
    SELECT 1
    FROM egmap_20170316_tmc_polyline AS b
    WHERE ST_Intersects(a.geom, b.geom)
    );


    which will at least use the index efficiently



Note that, even with the more optimized second query, this is a heavy operation and will likely take some time.






share|improve this answer



























  • you genius. second query solved my problem almost

    – poonam patel
    Apr 16 at 3:19


















0
















Try this first for seeing the result of your query:



SELECT a.Geometry
FROM qlayer4 AS a,
egmap_20170316_tmc_polyline AS b
WHERE
st_intersects(a.Geometry, b.geom) = false;


If it returns the expected result, insert the "INTO Qlayer5" statement.






share|improve this answer

























  • Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

    – poonam patel
    Apr 15 at 6:44











  • @poonampatel How many objects are in your tables? Have you set a spatial index?

    – blabbath
    Apr 15 at 7:00











  • yes i have set spatial index .i have quite a huge data.

    – poonam patel
    Apr 15 at 7:38











  • Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

    – blabbath
    Apr 15 at 7:45











  • I also think the same @blabbath. that is why i am looking for efficient solution

    – poonam patel
    Apr 15 at 8:33













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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









5
















Non-intersections are tricky. To avoid a cartesian product of the joined tables you need to either




  • check against a collection/union of the joined tables' geometries:



    WITH
    col AS (
    SELECT ST_Collect(geom) AS geom
    FROM egmap_20170316_tmc_polyline
    )
    SELECT *
    FROM qlayer4 AS a
    JOIN col AS b
    ON NOT ST_Intersects(a.geom, b.geom)
    ;


    which will be rather inefficient for larger tables (indexes are less effective and the amount of vertices to traverse each time is extremely high)




  • or better, check against existence of intersections:



    SELECT *
    FROM qlayer4 AS a
    WHERE NOT EXISTS (
    SELECT 1
    FROM egmap_20170316_tmc_polyline AS b
    WHERE ST_Intersects(a.geom, b.geom)
    );


    which will at least use the index efficiently



Note that, even with the more optimized second query, this is a heavy operation and will likely take some time.






share|improve this answer



























  • you genius. second query solved my problem almost

    – poonam patel
    Apr 16 at 3:19















5
















Non-intersections are tricky. To avoid a cartesian product of the joined tables you need to either




  • check against a collection/union of the joined tables' geometries:



    WITH
    col AS (
    SELECT ST_Collect(geom) AS geom
    FROM egmap_20170316_tmc_polyline
    )
    SELECT *
    FROM qlayer4 AS a
    JOIN col AS b
    ON NOT ST_Intersects(a.geom, b.geom)
    ;


    which will be rather inefficient for larger tables (indexes are less effective and the amount of vertices to traverse each time is extremely high)




  • or better, check against existence of intersections:



    SELECT *
    FROM qlayer4 AS a
    WHERE NOT EXISTS (
    SELECT 1
    FROM egmap_20170316_tmc_polyline AS b
    WHERE ST_Intersects(a.geom, b.geom)
    );


    which will at least use the index efficiently



Note that, even with the more optimized second query, this is a heavy operation and will likely take some time.






share|improve this answer



























  • you genius. second query solved my problem almost

    – poonam patel
    Apr 16 at 3:19













5














5










5









Non-intersections are tricky. To avoid a cartesian product of the joined tables you need to either




  • check against a collection/union of the joined tables' geometries:



    WITH
    col AS (
    SELECT ST_Collect(geom) AS geom
    FROM egmap_20170316_tmc_polyline
    )
    SELECT *
    FROM qlayer4 AS a
    JOIN col AS b
    ON NOT ST_Intersects(a.geom, b.geom)
    ;


    which will be rather inefficient for larger tables (indexes are less effective and the amount of vertices to traverse each time is extremely high)




  • or better, check against existence of intersections:



    SELECT *
    FROM qlayer4 AS a
    WHERE NOT EXISTS (
    SELECT 1
    FROM egmap_20170316_tmc_polyline AS b
    WHERE ST_Intersects(a.geom, b.geom)
    );


    which will at least use the index efficiently



Note that, even with the more optimized second query, this is a heavy operation and will likely take some time.






share|improve this answer















Non-intersections are tricky. To avoid a cartesian product of the joined tables you need to either




  • check against a collection/union of the joined tables' geometries:



    WITH
    col AS (
    SELECT ST_Collect(geom) AS geom
    FROM egmap_20170316_tmc_polyline
    )
    SELECT *
    FROM qlayer4 AS a
    JOIN col AS b
    ON NOT ST_Intersects(a.geom, b.geom)
    ;


    which will be rather inefficient for larger tables (indexes are less effective and the amount of vertices to traverse each time is extremely high)




  • or better, check against existence of intersections:



    SELECT *
    FROM qlayer4 AS a
    WHERE NOT EXISTS (
    SELECT 1
    FROM egmap_20170316_tmc_polyline AS b
    WHERE ST_Intersects(a.geom, b.geom)
    );


    which will at least use the index efficiently



Note that, even with the more optimized second query, this is a heavy operation and will likely take some time.







share|improve this answer














share|improve this answer



share|improve this answer








edited Apr 15 at 9:22

























answered Apr 15 at 8:54









ThingumaBobThingumaBob

8,0741 gold badge5 silver badges26 bronze badges




8,0741 gold badge5 silver badges26 bronze badges















  • you genius. second query solved my problem almost

    – poonam patel
    Apr 16 at 3:19

















  • you genius. second query solved my problem almost

    – poonam patel
    Apr 16 at 3:19
















you genius. second query solved my problem almost

– poonam patel
Apr 16 at 3:19





you genius. second query solved my problem almost

– poonam patel
Apr 16 at 3:19













0
















Try this first for seeing the result of your query:



SELECT a.Geometry
FROM qlayer4 AS a,
egmap_20170316_tmc_polyline AS b
WHERE
st_intersects(a.Geometry, b.geom) = false;


If it returns the expected result, insert the "INTO Qlayer5" statement.






share|improve this answer

























  • Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

    – poonam patel
    Apr 15 at 6:44











  • @poonampatel How many objects are in your tables? Have you set a spatial index?

    – blabbath
    Apr 15 at 7:00











  • yes i have set spatial index .i have quite a huge data.

    – poonam patel
    Apr 15 at 7:38











  • Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

    – blabbath
    Apr 15 at 7:45











  • I also think the same @blabbath. that is why i am looking for efficient solution

    – poonam patel
    Apr 15 at 8:33















0
















Try this first for seeing the result of your query:



SELECT a.Geometry
FROM qlayer4 AS a,
egmap_20170316_tmc_polyline AS b
WHERE
st_intersects(a.Geometry, b.geom) = false;


If it returns the expected result, insert the "INTO Qlayer5" statement.






share|improve this answer

























  • Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

    – poonam patel
    Apr 15 at 6:44











  • @poonampatel How many objects are in your tables? Have you set a spatial index?

    – blabbath
    Apr 15 at 7:00











  • yes i have set spatial index .i have quite a huge data.

    – poonam patel
    Apr 15 at 7:38











  • Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

    – blabbath
    Apr 15 at 7:45











  • I also think the same @blabbath. that is why i am looking for efficient solution

    – poonam patel
    Apr 15 at 8:33













0














0










0









Try this first for seeing the result of your query:



SELECT a.Geometry
FROM qlayer4 AS a,
egmap_20170316_tmc_polyline AS b
WHERE
st_intersects(a.Geometry, b.geom) = false;


If it returns the expected result, insert the "INTO Qlayer5" statement.






share|improve this answer













Try this first for seeing the result of your query:



SELECT a.Geometry
FROM qlayer4 AS a,
egmap_20170316_tmc_polyline AS b
WHERE
st_intersects(a.Geometry, b.geom) = false;


If it returns the expected result, insert the "INTO Qlayer5" statement.







share|improve this answer












share|improve this answer



share|improve this answer










answered Apr 15 at 5:22









blabbathblabbath

7723 silver badges18 bronze badges




7723 silver badges18 bronze badges















  • Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

    – poonam patel
    Apr 15 at 6:44











  • @poonampatel How many objects are in your tables? Have you set a spatial index?

    – blabbath
    Apr 15 at 7:00











  • yes i have set spatial index .i have quite a huge data.

    – poonam patel
    Apr 15 at 7:38











  • Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

    – blabbath
    Apr 15 at 7:45











  • I also think the same @blabbath. that is why i am looking for efficient solution

    – poonam patel
    Apr 15 at 8:33

















  • Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

    – poonam patel
    Apr 15 at 6:44











  • @poonampatel How many objects are in your tables? Have you set a spatial index?

    – blabbath
    Apr 15 at 7:00











  • yes i have set spatial index .i have quite a huge data.

    – poonam patel
    Apr 15 at 7:38











  • Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

    – blabbath
    Apr 15 at 7:45











  • I also think the same @blabbath. that is why i am looking for efficient solution

    – poonam patel
    Apr 15 at 8:33
















Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

– poonam patel
Apr 15 at 6:44





Thank you @blabbath. This query i have tried earlier .it did not finish till two hours so, i stopped.

– poonam patel
Apr 15 at 6:44













@poonampatel How many objects are in your tables? Have you set a spatial index?

– blabbath
Apr 15 at 7:00





@poonampatel How many objects are in your tables? Have you set a spatial index?

– blabbath
Apr 15 at 7:00













yes i have set spatial index .i have quite a huge data.

– poonam patel
Apr 15 at 7:38





yes i have set spatial index .i have quite a huge data.

– poonam patel
Apr 15 at 7:38













Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

– blabbath
Apr 15 at 7:45





Then, depending on your hardware specs and tuning parameters, 2 hours might just not be enough time.

– blabbath
Apr 15 at 7:45













I also think the same @blabbath. that is why i am looking for efficient solution

– poonam patel
Apr 15 at 8:33





I also think the same @blabbath. that is why i am looking for efficient solution

– poonam patel
Apr 15 at 8:33


















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Training a classifier when some of the features are unknownWhy does Gradient Boosting regression predict negative values when there are no negative y-values in my training set?How to improve an existing (trained) classifier?What is effect when I set up some self defined predisctor variables?Why Matlab neural network classification returns decimal values on prediction dataset?Fitting and transforming text data in training, testing, and validation setsHow to quantify the performance of the classifier (multi-class SVM) using the test data?How do I control for some patients providing multiple samples in my training data?Training and Test setTraining a convolutional neural network for image denoising in MatlabShouldn't an autoencoder with #(neurons in hidden layer) = #(neurons in input layer) be “perfect”?