Compare multiple columns to check if columns are duplicate PostgreSQL












0















I am trying to compare multiple column with each other to find if the columns in a table have similar values or duplicate and each table has more then 200+ columns.



Is there are way to compare using loop in PostgreSQL?










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  • 1





    Welcome to StackOverflow! Please update your question to show what you have already tried in a Minimal, Complete, and Verifiable example. For further information, please see How to Ask.

    – Raoslaw Szamszur
    Nov 13 '18 at 15:43











  • You can compare whole rows with a condition like (tab1.*) = (tab2.*). For more, please provide more details.

    – Laurenz Albe
    Nov 13 '18 at 16:19











  • its a single table that has multiple columns. the comparison should be one is to many for example 1:1,1:2,1:3,1:4...etc then again 2:3,2:4,2:5,2:6 and so on...first column compare with all 200 + columns and same type of exercise for 2nd column, 3rd column, 4th column like wise for all the columns ..

    – Dheeraj Jain D
    Nov 13 '18 at 18:37
















0















I am trying to compare multiple column with each other to find if the columns in a table have similar values or duplicate and each table has more then 200+ columns.



Is there are way to compare using loop in PostgreSQL?










share|improve this question




















  • 1





    Welcome to StackOverflow! Please update your question to show what you have already tried in a Minimal, Complete, and Verifiable example. For further information, please see How to Ask.

    – Raoslaw Szamszur
    Nov 13 '18 at 15:43











  • You can compare whole rows with a condition like (tab1.*) = (tab2.*). For more, please provide more details.

    – Laurenz Albe
    Nov 13 '18 at 16:19











  • its a single table that has multiple columns. the comparison should be one is to many for example 1:1,1:2,1:3,1:4...etc then again 2:3,2:4,2:5,2:6 and so on...first column compare with all 200 + columns and same type of exercise for 2nd column, 3rd column, 4th column like wise for all the columns ..

    – Dheeraj Jain D
    Nov 13 '18 at 18:37














0












0








0








I am trying to compare multiple column with each other to find if the columns in a table have similar values or duplicate and each table has more then 200+ columns.



Is there are way to compare using loop in PostgreSQL?










share|improve this question
















I am trying to compare multiple column with each other to find if the columns in a table have similar values or duplicate and each table has more then 200+ columns.



Is there are way to compare using loop in PostgreSQL?







sql postgresql






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 13 '18 at 17:14









user6910411

33.6k976100




33.6k976100










asked Nov 13 '18 at 15:39









Dheeraj Jain DDheeraj Jain D

11




11








  • 1





    Welcome to StackOverflow! Please update your question to show what you have already tried in a Minimal, Complete, and Verifiable example. For further information, please see How to Ask.

    – Raoslaw Szamszur
    Nov 13 '18 at 15:43











  • You can compare whole rows with a condition like (tab1.*) = (tab2.*). For more, please provide more details.

    – Laurenz Albe
    Nov 13 '18 at 16:19











  • its a single table that has multiple columns. the comparison should be one is to many for example 1:1,1:2,1:3,1:4...etc then again 2:3,2:4,2:5,2:6 and so on...first column compare with all 200 + columns and same type of exercise for 2nd column, 3rd column, 4th column like wise for all the columns ..

    – Dheeraj Jain D
    Nov 13 '18 at 18:37














  • 1





    Welcome to StackOverflow! Please update your question to show what you have already tried in a Minimal, Complete, and Verifiable example. For further information, please see How to Ask.

    – Raoslaw Szamszur
    Nov 13 '18 at 15:43











  • You can compare whole rows with a condition like (tab1.*) = (tab2.*). For more, please provide more details.

    – Laurenz Albe
    Nov 13 '18 at 16:19











  • its a single table that has multiple columns. the comparison should be one is to many for example 1:1,1:2,1:3,1:4...etc then again 2:3,2:4,2:5,2:6 and so on...first column compare with all 200 + columns and same type of exercise for 2nd column, 3rd column, 4th column like wise for all the columns ..

    – Dheeraj Jain D
    Nov 13 '18 at 18:37








1




1





Welcome to StackOverflow! Please update your question to show what you have already tried in a Minimal, Complete, and Verifiable example. For further information, please see How to Ask.

– Raoslaw Szamszur
Nov 13 '18 at 15:43





Welcome to StackOverflow! Please update your question to show what you have already tried in a Minimal, Complete, and Verifiable example. For further information, please see How to Ask.

– Raoslaw Szamszur
Nov 13 '18 at 15:43













You can compare whole rows with a condition like (tab1.*) = (tab2.*). For more, please provide more details.

– Laurenz Albe
Nov 13 '18 at 16:19





You can compare whole rows with a condition like (tab1.*) = (tab2.*). For more, please provide more details.

– Laurenz Albe
Nov 13 '18 at 16:19













its a single table that has multiple columns. the comparison should be one is to many for example 1:1,1:2,1:3,1:4...etc then again 2:3,2:4,2:5,2:6 and so on...first column compare with all 200 + columns and same type of exercise for 2nd column, 3rd column, 4th column like wise for all the columns ..

– Dheeraj Jain D
Nov 13 '18 at 18:37





its a single table that has multiple columns. the comparison should be one is to many for example 1:1,1:2,1:3,1:4...etc then again 2:3,2:4,2:5,2:6 and so on...first column compare with all 200 + columns and same type of exercise for 2nd column, 3rd column, 4th column like wise for all the columns ..

– Dheeraj Jain D
Nov 13 '18 at 18:37












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