I'm using PostgreSQL 9.3.
I have a varchar column in a table that can be null and I want to update it depending of its value is null or not.
I didn't manage to do a function that takes a String as argument and updates the value like this:
If the column is null, the function concatenates the current string value, a comma and the string given as argument, else it just adds the string at the end of the current string value (without comma).
So how can I make a different Update depending of the column value to update?
You can use a case statement to conditionally update a column:
update the_table
set the_colum = case
when the column is null then 'foobar'
else the_column||', '||'foobar'
end
An another approach
UPDATE foo
SET bar = COALESCE(NULLIF(concat_ws(', ', NULLIF(bar, ''), NULLIF('a_string', '')), ''), 'a_string')
Related
I have a table with the following field values:
I want to do a select where I can match a value from this keyword column. For example:
SELECT templateid FROM public.templates WHERE keyword='Yes'
I don't want to use LIKE because in the case one of the comma-separated values is Yessy then I will get a return and that's not correct.
It has to be an exact match of one of the comma separated values.
Any clue?
You can convert the string into an array:
SELECT templateid
FROM public.templates
WHERE 'Yes' = any(string_to_array(keyword, ','))
I hava data in my database and i need to select all data where 1 column number is between 1-100.
Im having problems, because i cant use - between 1 and 100; Because that column is character varying, not integer. But all data are numbers (i cant change it to integer).
Code;
dst_db1.eachRow("Select length_to_fault from diags where length_to_fault between 1 AND 100")
Error - operator does not exist: character varying >= integer
Since your column supposed to contain numeric values but is defined as text (or version of text) there will be times when it does not i.e. You need 2 validations: that the column actually contains numeric data and that it falls into your value restriction. So add the following predicates to your query.
and length_to_fault ~ '^\+?\d+(\.\d*)?$'
and length_to_fault::numeric <# ('[1.0,100.0]')::numrange;
The first builds a regexp that insures the column is a valid floating point value. The second insures the numeric value fall within the specified numeric range. See fiddle.
I understand you cannot change the database, but this looks like a good place for a check constraint esp. if n/a is the only non-numeric are allowed. You may want to talk with your DBA ans see about the following constraint.
alter table diags
add constraint length_to_fault_check
check ( lower(length_to_fault) = 'n/a'
or ( length_to_fault ~ '^\+?\d+(\.\d*)?$'
and length_to_fault::numeric <# ('[1.0,100.0]')::numrange
)
);
Then your query need only check that:
lower(lenth_to_fault) != 'n/a'
The below PostgreSQL query will work
SELECT length_to_fault FROM diags WHERE regexp_replace(length_to_fault, '[\s+]', '', 'g')::numeric BETWEEN 1 AND 100;
Wanted to create the multiple parameter of function but it gives me this error:
CREATE FUNCTION failed because a column name is not specified for
column 1.
Code below:
create function dmt.Impacted(
#nameOfColumn varchar , #nameOfParam varchar)
returns table
as
return
(select
case when '['+#nameOfColumn+']' is null or len(rtrim('['+#nameOfColumn+']')) = 0
then Convert(nvarchar(2),0)
else
#nameOfParam end from employee) ;
As the error message clearly said, the column in the returned result need a name. Either give it an alias in the SELECT like
SELECT CASE
...
END a_column_name
...
or define it in the declaration of the return type as in
...
RETURNS TABLE
(a_column_name nvarchar(max)
...
As you can see in the second form you have to specify a data type. As your current code doesn't make much sense now I cannot figure out what is the right one there. You'd need to amend it.
Note, that len(rtrim('['+#nameOfColumn+']')) = 0 is never true as len(rtrim('['+#nameOfColumn+']')) is either NULL, when #nameOfColumn is NULL or at least 2 because of the added brackets.
If #nameOfColumn is supposed to be a column name you shouldn't use varchar (especially without a length specified for it) but sysname which is a special type for object names.
Either way you should define a length for #nameOfColumn and #nameOfParam as just varchar without any length means varchar(1), which is probably not what you want. And maybe instead of varchar you want nvarchar.
You may also want to look into quotename().
Define name of column in SELECT statement :
(select case when '['+#nameOfColumn+']' is null or
len(rtrim('['+#nameOfColumn+']')) = 0
then Convert(nvarchar(2),0)
else #nameOfParam
end as name_column -- define column name
from employee)
Also, your function parameter has no data length, by default it will accept only 1 character #nameOfColumn varchar , #nameOfParam varchar & rest will trim.
original query looks like this :
UPDATE reponse_question_finale t1, reponse_question_finale t2 SET
t1.nb_question_repondu = (9-(ISNULL(t1.valeur_question_4)+ISNULL(t1.valeur_question_6)+ISNULL(t1.valeur_question_7)+ISNULL(t1.valeur_question_9))) WHERE t1.APPLICATION = t2.APPLICATION;
I know you cannot update 2 tables in a single query so i tried this :
UPDATE reponse_question_finale t1
SET nb_question_repondu = (9-(COALESCE(t1.valeur_question_4,'')::int+COALESCE(t1.valeur_question_6,'')::int+COALESCE(t1.valeur_question_7)::int+COALESCE(t1.valeur_question_9,'')::int))
WHERE t1.APPLICATION = t1.APPLICATION;
But this query gaves me an error : invalid input syntax for integer: ""
I saw that the Postgres equivalent to MySQL is COALESCE() so i think i'm on the good way here.
I also know you cannot add varchar to varchar so i tried to cast it to integer to do that. I'm not sure if i casted it correctly with parenthesis at the good place and regarding to error maybe i cannot cast to int with coalesce.
Last thing, i can certainly do a co-related sub-select to update my two tables but i'm a little lost at this point.
The output must be an integer matching the number of questions answered to a backup survey.
Any thoughts?
Thanks.
coalesce() returns the first non-null value from the list supplied. So, if the column value is null the expression COALESCE(t1.valeur_question_4,'') returns an empty string and that's why you get the error.
But it seems you want something completely different: you want check if the column is null (or empty) and then subtract a value if it is to count the number of non-null columns.
To return 1 if a value is not null or 0 if it isn't you can use:
(nullif(valeur_question_4, '') is null)::int
nullif returns null if the first value equals the second. The IS NULL condition returns a boolean (something that MySQL doesn't have) and that can be cast to an integer (where false will be cast to 0 and true to 1)
So the whole expression should be:
nb_question_repondu = 9 - (
(nullif(t1.valeur_question_4,'') is null)::int
+ (nullif(t1.valeur_question_6,'') is null)::int
+ (nullif(t1.valeur_question_7,'') is null)::int
+ (nullif(t1.valeur_question_9,'') is null)::int
)
Another option is to unpivot the columns and do a select on them in a sub-select:
update reponse_question_finale
set nb_question_repondu = (select count(*)
from (
values
(valeur_question_4),
(valeur_question_6),
(valeur_question_7),
(valeur_question_9)
) as t(q)
where nullif(trim(q),'') is not null);
Adding more columns to be considered is quite easy then, as you just need to add a single line to the values() clause
I have a VARCHAR(1000) column of prices with dollar signs (e.g. $100) and I have created a new NUMERIC(15,2) column, which I'd like to set equal to the prices in the VARCHAR column.
This is what worked for me in MySQL:
UPDATE product_table
SET cost = REPLACE(REPLACE(price, '$', ''), ',','');
but in PostgreSQL it throws an error:
ERROR: column "cost" is of type numeric but expression is of type character
LINE 2: SET cost = REPLACE(REPLACE(price, '$', ''), ',','');
^
HINT: You will need to rewrite or cast the expression.
I tried to follow the hint and tried some Google searches for examples, but my small brain hasn't been able to figure it out.
In PostgreSQL you can do this in one swoop, rather than replacing '$' and ',' s in separate calls:
UPDATE product_table
SET cost = regexp_replace(price, '[$,]', '', 'g')::numeric(15,2);
In regexp_replace the pattern [$,] means to replace either of '$' or ',' with the replace string (the empty string '' in this case), and the 'g' flag indicates that all such patterns need to be replaced.
Then you need to cast the resulting string to a numeric(15,2) value.
Simply cast the result of REPLACE with cast .. as numeric.
Try this:
UPDATE product_table
SET cost = CAST(REPLACE(REPLACE(price, '$', ''), ',','') AS NUMERIC);
I wouldn't suggest having this table structure though, because it can lead to anomalies (cost value doesn't reflect the price value).