I implemented this function in my Postgres database: http://www.cureffi.org/2013/03/19/automatically-creating-pivot-table-column-names-in-postgresql/
Here's the function:
create or replace function xtab (tablename varchar, rowc varchar, colc varchar, cellc varchar, celldatatype varchar) returns varchar language plpgsql as $$
declare
dynsql1 varchar;
dynsql2 varchar;
columnlist varchar;
begin
-- 1. retrieve list of column names.
dynsql1 = 'select string_agg(distinct '||colc||'||'' '||celldatatype||''','','' order by '||colc||'||'' '||celldatatype||''') from '||tablename||';';
execute dynsql1 into columnlist;
-- 2. set up the crosstab query
dynsql2 = 'select * from crosstab (
''select '||rowc||','||colc||','||cellc||' from '||tablename||' group by 1,2 order by 1,2'',
''select distinct '||colc||' from '||tablename||' order by 1''
)
as ct (
'||rowc||' varchar,'||columnlist||'
);';
return dynsql2;
end
$$;
So now I can call the function:
select xtab('globalpayments','month','currency','(sum(total_fees)/sum(txn_amount)*100)::decimal(48,2)','text');
Which returns (because the return type of the function is varchar):
select * from crosstab (
'select month,currency,(sum(total_fees)/sum(txn_amount)*100)::decimal(48,2)
from globalpayments
group by 1,2
order by 1,2'
, 'select distinct currency
from globalpayments
order by 1'
) as ct ( month varchar,CAD text,EUR text,GBP text,USD text );
How can I get this function to not only generate the code for the dynamic crosstab, but also execute the result? I.e., the result when I manually copy/paste/execute is this. But I want it to execute without that extra step: the function shall assemble the dynamic query and execute it:
Edit 1
This function comes close, but I need it to return more than just the first column of the first record
Taken from: Are there any way to execute a query inside the string value (like eval) in PostgreSQL?
create or replace function eval( sql text ) returns text as $$
declare
as_txt text;
begin
if sql is null then return null ; end if ;
execute sql into as_txt ;
return as_txt ;
end;
$$ language plpgsql
usage: select * from eval($$select * from analytics limit 1$$)
However it just returns the first column of the first record :
eval
----
2015
when the actual result looks like this:
Year, Month, Date, TPV_USD
---- ----- ------ --------
2016, 3, 2016-03-31, 100000
What you ask for is impossible. SQL is a strictly typed language. PostgreSQL functions need to declare a return type (RETURNS ..
) at the time of creation.
A limited way around this is with polymorphic functions. If you can provide the return type at the time of the function call. But that's not evident from your question.
You can return a completely dynamic result with anonymous records. But then you are required to provide a column definition list with every call. And how do you know about the returned columns? Catch 22.
There are various workarounds, depending on what you need or can work with. Since all your data columns seem to share the same data type, I suggest to return an array: text[]
. Or you could return a document type like hstore
or json
. Related:
Dynamic alternative to pivot with CASE and GROUP BY
Dynamically convert hstore keys into columns for an unknown set of keys
But it might be simpler to just use two calls: 1: Let Postgres build the query. 2: Execute and retrieve returned rows.
I would not use the function from Eric Minikel as presented in your question at all. It is not safe against SQL injection by way of maliciously malformed identifiers. Use format()
to build query strings unless you are running an outdated version older than Postgres 9.1.
A shorter and cleaner implementation could look like this:
CREATE OR REPLACE FUNCTION xtab(_tbl regclass, _row text, _cat text
, _expr text -- still vulnerable to SQL injection!
, _type regtype)
RETURNS text
LANGUAGE plpgsql AS
$func$
DECLARE
_cat_list text;
_col_list text;
BEGIN
-- generate categories for xtab param and col definition list
EXECUTE format(
$$SELECT string_agg(quote_literal(x.cat), '), (')
, string_agg(quote_ident (x.cat), %L)
FROM (SELECT DISTINCT %I AS cat FROM %s ORDER BY 1) x$$
, ' ' || _type || ', ', _cat, _tbl)
INTO _cat_list, _col_list;
-- generate query string
RETURN format(
'SELECT * FROM crosstab(
$q$SELECT %I, %I, %s
FROM %I
GROUP BY 1, 2 -- only works if the 3rd column is an aggregate expression
ORDER BY 1, 2$q$
, $c$VALUES (%5$s)$c$
) ct(%1$I text, %6$s %7$s)'
, _row, _cat, _expr -- expr must be an aggregate expression!
, _tbl, _cat_list, _col_list, _type);
END
$func$;
Same function call as your original version. The function crosstab()
is provided by the additional module tablefunc
which has to be installed. Basics:
This handles column and table names safely. Note the use of object identifier types regclass
and regtype
. Also works for schema-qualified names.
However, it is not completely safe while you pass a string to be executed as expression (_expr
- cellc
in your original query). This kind of input is inherently unsafe against SQL injection and should never be exposed to the general public.
Scans the table only once for both lists of categories and should be a bit faster.
Still can't return completely dynamic row types since that's strictly not possible.
Not quite impossible, you can still execute it (from a query execute the string and return SETOF RECORD.
Then you have to specify the return record format. The reason in this case is that the planner needs to know the return format before it can make certain decisions (materialization comes to mind).
So in this case you would EXECUTE the query, return the rows and return SETOF RECORD.
For example, we could do something like this with a wrapper function but the same logic could be folded into your function:
CREATE OR REPLACE FUNCTION crosstab_wrapper
(tablename varchar, rowc varchar, colc varchar,
cellc varchar, celldatatype varchar)
returns setof record language plpgsql as $$
DECLARE outrow record;
BEGIN
FOR outrow IN EXECUTE xtab($1, $2, $3, $4, $5)
LOOP
RETURN NEXT outrow
END LOOP;
END;
$$;
Then you supply the record structure on calling the function just like you do with crosstab. Then when you all the query you would have to supply a record structure (as (col1 type, col2 type, etc) like you do with connectby.
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