Postgres: relation does not exist error when table exists on public schema












1















I have a table that was dumped to Postgres using Pandas and Pandas can read it just fine using the read_sql_table command but I can't seem to be able to access it using SQL. When I run the dt command, I get the table listed under the public schema as one of the existing tables.



                 List of relations
Schema | Name | Type | Owner
--------+------------------------------------+-------+----------
public | "e7b6a2e19789418e9e48fd34e981b036" | table | postgres


But when I run SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"; I get the relation does not exist error. I have tried the following:




  • SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"

  • SELECT * FROM "public"."e7b6a2e19789418e9e48fd34e981b036"

  • Granted usage to public schema to the user by doing GRANT USAGE ON SCHEMA public TO postgres;

  • Checked this stack overflow answer that suggest it might be the identifier length is too long but my identifier length is 32 bytes with Postgres allowing up to 63 bytes by default


When I run SHOW search_path; it shows "$user", public which is what it should be but for some reason Postgres keeps saying the relation does not exist.



Other helpful information:




  • I'm running Postgres in a docker container from here


Any idea on what might be causing the error here?










share|improve this question

























  • Are you logged in as the table owner postgres? (btw: it's not a good idea to create tables using the superuser or use the superuser account for your application)

    – a_horse_with_no_name
    Nov 20 '18 at 15:34













  • Yes I'm logged in as the postgres user. Thanks for the hint, I'm only doing this on my dev machine and on production I'm using a different user

    – Kash Pourdeilami
    Nov 20 '18 at 15:36











  • May I know why tag pandas here ?

    – W-B
    Nov 20 '18 at 15:58











  • The table was created with pandas' to_sql method and pandas could read it just fine using the read_sql method so I thought it might have something to do with it. I'll remove the tag now

    – Kash Pourdeilami
    Nov 20 '18 at 16:08
















1















I have a table that was dumped to Postgres using Pandas and Pandas can read it just fine using the read_sql_table command but I can't seem to be able to access it using SQL. When I run the dt command, I get the table listed under the public schema as one of the existing tables.



                 List of relations
Schema | Name | Type | Owner
--------+------------------------------------+-------+----------
public | "e7b6a2e19789418e9e48fd34e981b036" | table | postgres


But when I run SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"; I get the relation does not exist error. I have tried the following:




  • SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"

  • SELECT * FROM "public"."e7b6a2e19789418e9e48fd34e981b036"

  • Granted usage to public schema to the user by doing GRANT USAGE ON SCHEMA public TO postgres;

  • Checked this stack overflow answer that suggest it might be the identifier length is too long but my identifier length is 32 bytes with Postgres allowing up to 63 bytes by default


When I run SHOW search_path; it shows "$user", public which is what it should be but for some reason Postgres keeps saying the relation does not exist.



Other helpful information:




  • I'm running Postgres in a docker container from here


Any idea on what might be causing the error here?










share|improve this question

























  • Are you logged in as the table owner postgres? (btw: it's not a good idea to create tables using the superuser or use the superuser account for your application)

    – a_horse_with_no_name
    Nov 20 '18 at 15:34













  • Yes I'm logged in as the postgres user. Thanks for the hint, I'm only doing this on my dev machine and on production I'm using a different user

    – Kash Pourdeilami
    Nov 20 '18 at 15:36











  • May I know why tag pandas here ?

    – W-B
    Nov 20 '18 at 15:58











  • The table was created with pandas' to_sql method and pandas could read it just fine using the read_sql method so I thought it might have something to do with it. I'll remove the tag now

    – Kash Pourdeilami
    Nov 20 '18 at 16:08














1












1








1








I have a table that was dumped to Postgres using Pandas and Pandas can read it just fine using the read_sql_table command but I can't seem to be able to access it using SQL. When I run the dt command, I get the table listed under the public schema as one of the existing tables.



                 List of relations
Schema | Name | Type | Owner
--------+------------------------------------+-------+----------
public | "e7b6a2e19789418e9e48fd34e981b036" | table | postgres


But when I run SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"; I get the relation does not exist error. I have tried the following:




  • SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"

  • SELECT * FROM "public"."e7b6a2e19789418e9e48fd34e981b036"

  • Granted usage to public schema to the user by doing GRANT USAGE ON SCHEMA public TO postgres;

  • Checked this stack overflow answer that suggest it might be the identifier length is too long but my identifier length is 32 bytes with Postgres allowing up to 63 bytes by default


When I run SHOW search_path; it shows "$user", public which is what it should be but for some reason Postgres keeps saying the relation does not exist.



Other helpful information:




  • I'm running Postgres in a docker container from here


Any idea on what might be causing the error here?










share|improve this question
















I have a table that was dumped to Postgres using Pandas and Pandas can read it just fine using the read_sql_table command but I can't seem to be able to access it using SQL. When I run the dt command, I get the table listed under the public schema as one of the existing tables.



                 List of relations
Schema | Name | Type | Owner
--------+------------------------------------+-------+----------
public | "e7b6a2e19789418e9e48fd34e981b036" | table | postgres


But when I run SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"; I get the relation does not exist error. I have tried the following:




  • SELECT * FROM "e7b6a2e19789418e9e48fd34e981b036"

  • SELECT * FROM "public"."e7b6a2e19789418e9e48fd34e981b036"

  • Granted usage to public schema to the user by doing GRANT USAGE ON SCHEMA public TO postgres;

  • Checked this stack overflow answer that suggest it might be the identifier length is too long but my identifier length is 32 bytes with Postgres allowing up to 63 bytes by default


When I run SHOW search_path; it shows "$user", public which is what it should be but for some reason Postgres keeps saying the relation does not exist.



Other helpful information:




  • I'm running Postgres in a docker container from here


Any idea on what might be causing the error here?







postgresql quoted-identifier






share|improve this question















share|improve this question













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edited Nov 20 '18 at 16:13









a_horse_with_no_name

295k46451546




295k46451546










asked Nov 20 '18 at 15:30









Kash PourdeilamiKash Pourdeilami

3831523




3831523













  • Are you logged in as the table owner postgres? (btw: it's not a good idea to create tables using the superuser or use the superuser account for your application)

    – a_horse_with_no_name
    Nov 20 '18 at 15:34













  • Yes I'm logged in as the postgres user. Thanks for the hint, I'm only doing this on my dev machine and on production I'm using a different user

    – Kash Pourdeilami
    Nov 20 '18 at 15:36











  • May I know why tag pandas here ?

    – W-B
    Nov 20 '18 at 15:58











  • The table was created with pandas' to_sql method and pandas could read it just fine using the read_sql method so I thought it might have something to do with it. I'll remove the tag now

    – Kash Pourdeilami
    Nov 20 '18 at 16:08



















  • Are you logged in as the table owner postgres? (btw: it's not a good idea to create tables using the superuser or use the superuser account for your application)

    – a_horse_with_no_name
    Nov 20 '18 at 15:34













  • Yes I'm logged in as the postgres user. Thanks for the hint, I'm only doing this on my dev machine and on production I'm using a different user

    – Kash Pourdeilami
    Nov 20 '18 at 15:36











  • May I know why tag pandas here ?

    – W-B
    Nov 20 '18 at 15:58











  • The table was created with pandas' to_sql method and pandas could read it just fine using the read_sql method so I thought it might have something to do with it. I'll remove the tag now

    – Kash Pourdeilami
    Nov 20 '18 at 16:08

















Are you logged in as the table owner postgres? (btw: it's not a good idea to create tables using the superuser or use the superuser account for your application)

– a_horse_with_no_name
Nov 20 '18 at 15:34







Are you logged in as the table owner postgres? (btw: it's not a good idea to create tables using the superuser or use the superuser account for your application)

– a_horse_with_no_name
Nov 20 '18 at 15:34















Yes I'm logged in as the postgres user. Thanks for the hint, I'm only doing this on my dev machine and on production I'm using a different user

– Kash Pourdeilami
Nov 20 '18 at 15:36





Yes I'm logged in as the postgres user. Thanks for the hint, I'm only doing this on my dev machine and on production I'm using a different user

– Kash Pourdeilami
Nov 20 '18 at 15:36













May I know why tag pandas here ?

– W-B
Nov 20 '18 at 15:58





May I know why tag pandas here ?

– W-B
Nov 20 '18 at 15:58













The table was created with pandas' to_sql method and pandas could read it just fine using the read_sql method so I thought it might have something to do with it. I'll remove the tag now

– Kash Pourdeilami
Nov 20 '18 at 16:08





The table was created with pandas' to_sql method and pandas could read it just fine using the read_sql method so I thought it might have something to do with it. I'll remove the tag now

– Kash Pourdeilami
Nov 20 '18 at 16:08












1 Answer
1






active

oldest

votes


















3














Your table name contains double quotes.



Embedding double quotes in an identifier follows the same rules as embedding single quotes in a string literal: you need to double them:



So the table was created with something like this:



create table """e7b6a2e19789418e9e48fd34e981b036"""(...);


You need to use the same syntax when you select from it:



SELECT * 
FROM """e7b6a2e19789418e9e48fd34e981b036""";





share|improve this answer
























  • Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

    – Kash Pourdeilami
    Nov 20 '18 at 15:48











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









3














Your table name contains double quotes.



Embedding double quotes in an identifier follows the same rules as embedding single quotes in a string literal: you need to double them:



So the table was created with something like this:



create table """e7b6a2e19789418e9e48fd34e981b036"""(...);


You need to use the same syntax when you select from it:



SELECT * 
FROM """e7b6a2e19789418e9e48fd34e981b036""";





share|improve this answer
























  • Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

    – Kash Pourdeilami
    Nov 20 '18 at 15:48
















3














Your table name contains double quotes.



Embedding double quotes in an identifier follows the same rules as embedding single quotes in a string literal: you need to double them:



So the table was created with something like this:



create table """e7b6a2e19789418e9e48fd34e981b036"""(...);


You need to use the same syntax when you select from it:



SELECT * 
FROM """e7b6a2e19789418e9e48fd34e981b036""";





share|improve this answer
























  • Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

    – Kash Pourdeilami
    Nov 20 '18 at 15:48














3












3








3







Your table name contains double quotes.



Embedding double quotes in an identifier follows the same rules as embedding single quotes in a string literal: you need to double them:



So the table was created with something like this:



create table """e7b6a2e19789418e9e48fd34e981b036"""(...);


You need to use the same syntax when you select from it:



SELECT * 
FROM """e7b6a2e19789418e9e48fd34e981b036""";





share|improve this answer













Your table name contains double quotes.



Embedding double quotes in an identifier follows the same rules as embedding single quotes in a string literal: you need to double them:



So the table was created with something like this:



create table """e7b6a2e19789418e9e48fd34e981b036"""(...);


You need to use the same syntax when you select from it:



SELECT * 
FROM """e7b6a2e19789418e9e48fd34e981b036""";






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 20 '18 at 15:40









a_horse_with_no_namea_horse_with_no_name

295k46451546




295k46451546













  • Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

    – Kash Pourdeilami
    Nov 20 '18 at 15:48



















  • Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

    – Kash Pourdeilami
    Nov 20 '18 at 15:48

















Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

– Kash Pourdeilami
Nov 20 '18 at 15:48





Thanks a lot, this worked. I suspected that at first but tried doing SELECT * FROM ""e7b6a2e19789418e9e48fd34e981b036"" which kept throwing syntax errors

– Kash Pourdeilami
Nov 20 '18 at 15:48


















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