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Using ST_DWithin to see duplicates


Fastest way to remove matched pointsFinding poi using st_dwithin in postgisST_Dwithin Source CodeST_DWithin matches wrong pointsCombining ST_DWithin and ST_IntersectsPostGIS ST_DWithin negative distanceST_DWithin Optimization PostgisRemoving duplicates in lines using PostGIS?Using ST_DWithin()Renaming duplicates in PostGIS?













0















I tried it this way but I think using DWithin might be better for this situation. What would be the correct order to find duplicates which exist within 10km from each other?



SELECT n, ST_ClusterDBSCAN(geog::geometry, eps := .08, minpoints := 2) over () AS cid
from (
select *
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) >= 2) dups
on dups.dn = t.n
order by t.n
) d


EDIT: I guess I would have to do something like this:



select * from (SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,2) = 0) even,
(SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,1) = 0
) odd
where st_dwithin(even.geog,odd.geog,5000)


but this is confusing... maybe it's better to just to do DWithin first but I'm not sure how to do that.










share|improve this question

























  • Please add more context to your question. You have tried ST_ClusterDBSCAN to find duplicates, correct? Show us the select ST_DWITHIN statement you would use. If you find a duplicate, which one do you want to keep, and which one should be deleted, or do you want to delete both of them?

    – Michael
    27 mins ago











  • I'd like to keep the one with the least null values and I'd like to copy the i column's value to the other row before deleting

    – jaksco
    6 mins ago
















0















I tried it this way but I think using DWithin might be better for this situation. What would be the correct order to find duplicates which exist within 10km from each other?



SELECT n, ST_ClusterDBSCAN(geog::geometry, eps := .08, minpoints := 2) over () AS cid
from (
select *
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) >= 2) dups
on dups.dn = t.n
order by t.n
) d


EDIT: I guess I would have to do something like this:



select * from (SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,2) = 0) even,
(SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,1) = 0
) odd
where st_dwithin(even.geog,odd.geog,5000)


but this is confusing... maybe it's better to just to do DWithin first but I'm not sure how to do that.










share|improve this question

























  • Please add more context to your question. You have tried ST_ClusterDBSCAN to find duplicates, correct? Show us the select ST_DWITHIN statement you would use. If you find a duplicate, which one do you want to keep, and which one should be deleted, or do you want to delete both of them?

    – Michael
    27 mins ago











  • I'd like to keep the one with the least null values and I'd like to copy the i column's value to the other row before deleting

    – jaksco
    6 mins ago














0












0








0








I tried it this way but I think using DWithin might be better for this situation. What would be the correct order to find duplicates which exist within 10km from each other?



SELECT n, ST_ClusterDBSCAN(geog::geometry, eps := .08, minpoints := 2) over () AS cid
from (
select *
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) >= 2) dups
on dups.dn = t.n
order by t.n
) d


EDIT: I guess I would have to do something like this:



select * from (SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,2) = 0) even,
(SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,1) = 0
) odd
where st_dwithin(even.geog,odd.geog,5000)


but this is confusing... maybe it's better to just to do DWithin first but I'm not sure how to do that.










share|improve this question
















I tried it this way but I think using DWithin might be better for this situation. What would be the correct order to find duplicates which exist within 10km from each other?



SELECT n, ST_ClusterDBSCAN(geog::geometry, eps := .08, minpoints := 2) over () AS cid
from (
select *
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) >= 2) dups
on dups.dn = t.n
order by t.n
) d


EDIT: I guess I would have to do something like this:



select * from (SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,2) = 0) even,
(SELECT *
from (
select *, ROW_NUMBER() OVER(order by t.n) as rownum
from cities as t
inner join
(select n dn
from cities as t
group by n
having count(*) = 2
) dups
on dups.dn = t.n
order by t.n
) d
where mod(rownum,1) = 0
) odd
where st_dwithin(even.geog,odd.geog,5000)


but this is confusing... maybe it's better to just to do DWithin first but I'm not sure how to do that.







postgis






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 11 mins ago







jaksco

















asked 1 hour ago









jakscojaksco

83




83













  • Please add more context to your question. You have tried ST_ClusterDBSCAN to find duplicates, correct? Show us the select ST_DWITHIN statement you would use. If you find a duplicate, which one do you want to keep, and which one should be deleted, or do you want to delete both of them?

    – Michael
    27 mins ago











  • I'd like to keep the one with the least null values and I'd like to copy the i column's value to the other row before deleting

    – jaksco
    6 mins ago



















  • Please add more context to your question. You have tried ST_ClusterDBSCAN to find duplicates, correct? Show us the select ST_DWITHIN statement you would use. If you find a duplicate, which one do you want to keep, and which one should be deleted, or do you want to delete both of them?

    – Michael
    27 mins ago











  • I'd like to keep the one with the least null values and I'd like to copy the i column's value to the other row before deleting

    – jaksco
    6 mins ago

















Please add more context to your question. You have tried ST_ClusterDBSCAN to find duplicates, correct? Show us the select ST_DWITHIN statement you would use. If you find a duplicate, which one do you want to keep, and which one should be deleted, or do you want to delete both of them?

– Michael
27 mins ago





Please add more context to your question. You have tried ST_ClusterDBSCAN to find duplicates, correct? Show us the select ST_DWITHIN statement you would use. If you find a duplicate, which one do you want to keep, and which one should be deleted, or do you want to delete both of them?

– Michael
27 mins ago













I'd like to keep the one with the least null values and I'd like to copy the i column's value to the other row before deleting

– jaksco
6 mins ago





I'd like to keep the one with the least null values and I'd like to copy the i column's value to the other row before deleting

– jaksco
6 mins ago










1 Answer
1






active

oldest

votes


















0














If your goal is just to identify duplicate records in your data. Then you can use ST_dwithin function like this;




SELECT col1
FROM cities as c1
INNER JOIN cities c2
ON ST_dWithin(geom,10000)
WHERE c1.gid != c2.gid AND c1.col1 = c2.col2


i assumed your data is in projected coordinate system (Unit: meters) and has a unique gid column. The duplication is based on col1, it may be name or any other value which should be unique in 10km radius.





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    1 Answer
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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    If your goal is just to identify duplicate records in your data. Then you can use ST_dwithin function like this;




    SELECT col1
    FROM cities as c1
    INNER JOIN cities c2
    ON ST_dWithin(geom,10000)
    WHERE c1.gid != c2.gid AND c1.col1 = c2.col2


    i assumed your data is in projected coordinate system (Unit: meters) and has a unique gid column. The duplication is based on col1, it may be name or any other value which should be unique in 10km radius.





    share




























      0














      If your goal is just to identify duplicate records in your data. Then you can use ST_dwithin function like this;




      SELECT col1
      FROM cities as c1
      INNER JOIN cities c2
      ON ST_dWithin(geom,10000)
      WHERE c1.gid != c2.gid AND c1.col1 = c2.col2


      i assumed your data is in projected coordinate system (Unit: meters) and has a unique gid column. The duplication is based on col1, it may be name or any other value which should be unique in 10km radius.





      share


























        0












        0








        0







        If your goal is just to identify duplicate records in your data. Then you can use ST_dwithin function like this;




        SELECT col1
        FROM cities as c1
        INNER JOIN cities c2
        ON ST_dWithin(geom,10000)
        WHERE c1.gid != c2.gid AND c1.col1 = c2.col2


        i assumed your data is in projected coordinate system (Unit: meters) and has a unique gid column. The duplication is based on col1, it may be name or any other value which should be unique in 10km radius.





        share













        If your goal is just to identify duplicate records in your data. Then you can use ST_dwithin function like this;




        SELECT col1
        FROM cities as c1
        INNER JOIN cities c2
        ON ST_dWithin(geom,10000)
        WHERE c1.gid != c2.gid AND c1.col1 = c2.col2


        i assumed your data is in projected coordinate system (Unit: meters) and has a unique gid column. The duplication is based on col1, it may be name or any other value which should be unique in 10km radius.






        share











        share


        share










        answered 4 mins ago









        Shahzad BachaShahzad Bacha

        1,2381820




        1,2381820






























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