This question already has answers here:
Postgres error updating column data
(2 answers)
PostgreSQL "column "foo" does not exist" where foo is the value
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postgres column "X" does not exist
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Simple Postgresql Statement - column name does not exists
(2 answers)
Closed 2 years ago.
I am trying to insert a line of text into a column where that column is null. Error listed below. Any help is greatly appreciated
UPDATE public.meditech_ar_test4
SET filename = "text"
WHERE filename is null;
ERROR: column "text" does not exist: I am aware that column does not exist, I want to insert it into the field
In Postgres, double quote stand for identifiers (such as table or column names). Here, you actually want a string literal, so you need single quotes:
UPDATE public.meditech_ar_test4
SET filename = 'text'
WHERE filename is null;
Some databases (namely, MySQL), tolerate double quotes for string literals, while using other characters for identifiers (in MySQL: backticks). However in that regard Postgres follows the rules of standard SQL, which defines double quotes for identifiers. You should just take the habit of always using single quotes for string literals (most databases do support that).
Related
After the Postgresql update v15, I realised that even I have a column that accepts UUID data type, it will throw me similar error like this whenever I try to Insert UUID data into the table :
Script :
INSERT INTO public.testing(uuid, rating) VALUES (${uuid}, ${rating})'
Error:
error running query error: trailing junk after numeric literal at or near "45c"
Postgresql 15 release note:
Prevent numeric literals from having non-numeric trailing characters (Peter Eisentraut)
Is there any solution for this issue? Or there an alternative data type that allows storing UUID into my table?
It seems that you forgot the single quotes around the UUID, so that the PostgreSQL parser took the value for a subtraction and complained that there were letters mixed in with the digits. This may throw a different error on older PostgreSQL versions, but it won't do the right thing either.
Be careful about SQL injection when you quote the values.
This question already has answers here:
How to reset Postgres' primary key sequence when it falls out of sync?
(33 answers)
Closed 4 months ago.
I have a table which was populated with data from another environment. When I try to create a new entry it tells me:
ERROR: duplicate key value violates unique constraint "chart_of_account_dimension_config_pkey"
Detail: Key (id)=(1) already exists.
I tried resetting the starting value of the sequence to an higher value by:
select setval(chart_of_account_dimension_id_seq1, 2810, true)
But it tells me
column "chart_of_account_dimension_config_id_seq1" does not exist
I tried to run following query, and actually there is no such sequence.
But dBeaver tells me such a sequence exists.
Edit: Why postgres thinks that chart_of_account_dimension_config_id_seq1 is a column name whereas in reality it is a sequence name.
If the query parser sees an identifier like that in that place it tries to treat it as a column.
So you need to do:
select setval('chart_of_account_dimension_id_seq1'::regclass, 2810, true)
That will look up the text name of the sequence and give its underlying identifier.
If you check the output of \dt you should see a similar thing with the DEFAULT for the column using it.
This question already has answers here:
PostgreSQL "Column does not exist" but it actually does
(6 answers)
Postgres: column does not exist [duplicate]
(1 answer)
SQL query column does not exist error
(1 answer)
Postgresql Column Not Found, But Shows in Describe
(1 answer)
Closed 1 year ago.
I have a table with column name as "name" and I want to change it to "Student_Name" for this i used the query
ALTER TABLE "Science_Class" RENAME column name TO Student_Name;
But I am getting the error message as the name column doesn't exit.
This question already has an answer here:
update vachar column to date in postgreSQL
(1 answer)
Closed 2 years ago.
I have a PostgreSQL table that contains a column of data type 'text', that column contains only dates.
I'm trying to convert it to date type, But it doesn't work.
publication_date
-----------
"9/16/2006"
"9/1/2004"
"11/1/2003"
"5/1/2004"
"9/13/2004"
"4/26/2005"
"9/12/2005"
"11/1/2005"
"4/30/2002"
"8/3/2004"
ALTER TABLE books
ALTER COLUMN publication_date SET DATA TYPE date;
outputs:
ERROR: column "publication_date" cannot be cast automatically to type date
HINT: You might need to specify "USING publication_date::date".
SQL state: 42804
The error message tells you what to do:
ALTER TABLE books
ALTER COLUMN publication_date SET DATA TYPE date
USING to_date(publication_date, 'mm/dd/yyyy');
This question already has answers here:
Create timestamp index from JSON on PostgreSQL
(1 answer)
Index on Timestamp: Functions in index expression must be marked as IMMUTABLE
(1 answer)
Closed 4 years ago.
Using postgres 10.4.
I have a table my_table1 with a column attr_a declared as jsonb
Within that field I have { my_attrs: {UpdatedDttm:'<date as iso8601 str>}}
for example:
{ my_attrs: {UpdatedDttm:'2018-09-20T17:55:52Z'}}
I use the date in a query that needs to do order by (and to compare with another date).
Because dates are strings, I have to convert them on the fly to a timestamp, using to_timestamp.
But I also need to add that order & filtering condition to an index.
So that Postgres can leverage that.
Problem is, my index creation is failing with the message:
create index my_table1__attr_a_jb_UpdatedDttm__idx ON my_table1 using btree (((to_timestamp(attr_a->'my_attrs'->>'UpdatedDttm', 'YYYY-MM-DD"T"HH24:MI:SS.MS"Z"')) ) DESC);
ERROR: functions in index expression must be marked IMMUTABLE SQL
state: 42P17
Is there a method to get this to work (hopefully, without creating a custom date formatting function), and I need to keep the time zone (cannot drop it).
I checked a similar question
And I am using what's recommended there to_timestamp and without the ::timestamptz typecast.
Still getting the error if I am using the built in function.
That answer suggests to create my own function (but I was trying to avoid that (as noted in my question at the bottom, because it requires rewritting/changing all the sql statemetns that use the table).
You could create an INSERT/UPDATE trigger that moves that nested JSONB value out to a top-level column; then index that like normal. You'd then also use that top-level column in your queries, effectively ignoring the nested JSONB value.