I'm trying to return table as function value.
My code, but gives syntax error:
drop function if EXISTS fn_must_edukas;
CREATE FUNCTION fn_must_edukas()
returns Table as
return(
Select Top 1 v_mangijad.isik_nimi as mängijaNimi,(SUM(punkt)) as punktid_mustad from v_punkti join
v_mangijad on v_mangijad.isik_id=v_punkti.mangija
where varv='M'
GROUP BY mängijaNimi
order by punktid_mustad desc);
select fn_must_edukas()
Thanks!
You have one problem in the last line:
select fn_must_edukas()
It should be:
select * FROM fn_must_edukas()
Because you are returning a table.
Related
how are you?
I needed to store an array of numbers as JSONB in PostgreSQL.
Now I'm trying to calculate stats moments from this JSON, I'm facing some issues.
Sample of my data:
I already was able to convert a JSON into a float array.
I used a function to convert jsonb to float array.
CREATE OR REPLACE FUNCTION jsonb_array_castdouble(jsonb) RETURNS float[] AS $f$
SELECT array_agg(x)::float[] || ARRAY[]::float[] FROM jsonb_array_elements_text($1) t(x);
$f$ LANGUAGE sql IMMUTABLE;
Using this SQL:
with data as (
select
s.id as id,
jsonb_array_castdouble(s.snx_normalized) as serie
FROM
spectra s
)
select * from data;
I found a function that can do these calculations and I need to pass an array for that: https://github.com/ellisonch/PostgreSQL-Stats-Aggregate/
But this function requires an array in another way: unnested
I already tried to use unnest, but it will get only one value, not the entire array :(.
My goal is:
Be able to apply stats moment (kurtosis, skewness) for each row.
like:
index
skewness
1
21.2131
2
1.123
Bonus: There is a way to not use this 'with data', use the transformation in the select statement?
snx_wavelengths is JSON, right? And also you provided it as a picture and not text :( the data looks like (id, snx_wavelengths) - I believe you meant id saying index (not a good idea to use a keyword, would require identifier doublequotes):
1,[1,2,3,4]
2,[373,232,435,84]
If that is right:
select id, (stats_agg(v::float)).skewness
from myMeasures,
lateral json_array_elements_text(snx_wavelengths) v
group by id;
DBFiddle demo
BTW, you don't need "with data" in the original sample if you don't want to use and could replace with a subquery. ie:
select (stats_agg(n)).* from (select unnest(array[16,22,33,24,15])) data(n)
union all
select (stats_agg(n)).* from (select unnest(array[416,622,833,224,215])) data(n);
EDIT: And if you needed other stats too:
select id, "count","min","max","mean","variance","skewness","kurtosis"
from myMeasures,
lateral (select (stats_agg(v::float)).* from json_array_elements_text(snx_wavelengths) v) foo
group by id,"count","min","max","mean","variance","skewness","kurtosis";
DBFiddle demo
I have a table with duplicate records but without primary key. Data looks like this:
I want to update one empty column with one of column concatenate with row_number. After update, I want to achieve this:
Since the table does not have a unique column, which means I would join back to a CTE or subquery. I know in sql server, it can be done like this:
UPDATE X
SET X.NEW_KEY = X.PERSONNUMBER + '-' + X.NEW_CODE_DEST
FROM (
SELECT ROW_NUMBER() OVER (PARTITION BY PERSONNUMBER) AS NEW_CODE_DEST,PERSONNUMBER,NEW_KEY
FROM EMPLOYEE
) as X;
I tried same logic in postgresql but it didn't work. It threw an error:
SQL Error [42P01]: ERROR: relation "x" does not exist
I also tried this in
UPDATE EMPLOYEE
SET NEW_KEY = X.PERSONNUMBER || '-' || X.NEW_CODE_DEST
FROM (
SELECT ROW_NUMBER() OVER (PARTITION BY PERSONNUMBER) AS NEW_CODE_DEST,PERSONNUMBER
FROM EMPLOYEE
) as X;
The NEW_KEY is updated with duplicate value, not surprise there.
So is there a equivalent method in to achieve the same update result? Or I have my query wrong?
Really appreciate the help!
I am using the function colpivot.sql (https://github.com/hnsl/colpivot) to convert rows into columns dynamically. I need to place the result of this query in a view in PostgreSQL.
CREATE OR REPLACE VIEW fun_test AS
SELECT colpivot('_test_pivoted',
'select * from _test',
array['year', 'month'],
array['country', 'state'],
'#.income', null);
SELECT * FROM _test_pivoted;
When I execute the query, it gives me the following error:
ERROR: column "colpivot" has pseudotype void
SQL state: 42P16
How can I make it work?
I need to update a few thousand rows in my Postgres table using the result of a array_agg and spatial lookup.
The query needs to take the geometry of the parent table, and return an array of the matching row IDs in the other table. It may return no IDs or potentially 2-3 IDs.
I've tried to use an UPDATE FROM but I can't seem to pass into the subquery the parent table geom column for the SELECT. I can't see any way of doing a JOIN between the 2 tables.
Here is what I currently have:
UPDATE lrc_wales_data.records
SET lrc_array = subquery.lrc_array
FROM (
SELECT array_agg(wales_lrcs.gid) AS lrc_array
FROM layers.wales_lrcs
WHERE st_dwithin(records.geom_poly, wales_lrcs.geom, 0)
) AS subquery
WHERE records.lrc = 'nrw';
The error I get is:
ERROR: invalid reference to FROM-clause entry for table "records"
LINE 7: WHERE st_dwithin(records.geom_poly, wales_lrcs.geom, 0)
Is this even possible?
Many thanks,
Steve
Realised there was no need to use SET FROM. I could just use a sub query directly in the SET:
UPDATE lrc_wales_data.records
SET lrc_array = (
SELECT array_agg(wales_lrcs.gid) AS lrc
FROM layers.wales_lrcs
WHERE st_dwithin(records.geom_poly, wales_lrcs.geom, 0)
)
WHERE records.lrc = 'nrw';
I'm trying to decipher another programmer's code who is long-gone, and I came across a select statement in a stored procedure that looks like this (simplified) example:
SELECT #Table2.Col1, Table2.Col2, Table2.Col3, MysteryColumn = CASE WHEN y.Col3 IS NOT NULL THEN #Table2.MysteryColumn - y.Col3 ELSE #Table2.MysteryColumn END
INTO #Table1
FROM #Table2
LEFT OUTER JOIN (
SELECT Table3.Col1, Table3.Col2, Col3 = SUM(#Table3.Col3)
FROM Table3
INNER JOIN #Table4 ON Table4.Col1 = Table3.Col1 AND Table4.Col2 = Table3.Col2
GROUP BY Table3.Col1, Table3.Col2
) AS y ON #Table2.Col1 = y.Col1 AND #Table2.Col2 = y.Col2
WHERE #Table2.Col2 < #EnteredValue
My question, what does the fourth column of the primary selection do? does it produce a boolean value checking to see if the values are equal? or does it set the #Table2.MysteryColumn equal to some value and then inserts it into #Table1? Or does it just update the #Table2.MysteryColumn and not output a value into #Table1?
This same thing seems to happen inside of the sub-query on the third column, and I am equally at a loss as to what that does as well.
MysteryColumn = gives the expression a name also called a column alias. The fact that a column in the table#2 also has the same name is besides the point.
Since it uses INTO syntax it also gives the column its name in the resulting temporary table. See the SELECT CLAUSE and note | column_alias = expression and the INTO CLAUSE