I'm trying to get the whole result of a query into a variable, so I can loop through it and make inserts.
I don't know if it's possible.
I'm new to postgre and procedures, any help will be very welcome.
Something like:
declare result (I don't know what kind of data type I should use to get a query);
select into result label, number, desc from data
Thanks in advance!
I think you have to read PostgreSQL documentation about cursors.
But if you want just insert data from one table to another, you can do:
insert into data2 (label, number, desc)
select label, number, desc
from data
if you want to "save" data from query, you also can use temporary table, which you can create by usual create table or create table as:
create temporary table temp_data as
(
select label, number, desc
from data
)
see documentation
Related
I am working in Postgres 9.6 and would like to insert multiple rows in a single query, using an INSERT INTO query.
I would also like, as one of the values inserted, to select a value from another table.
This is what I've tried:
insert into store_properties (property, store_id)
values
('ice cream', select id from store where postcode='SW1A 1AA'),
('petrol', select id from store where postcode='EC1N 2RN')
;
But I get a syntax error at the first select. What am I doing wrong?
Note that the value is determined per row, i.e. I'm not straightforwardly copying over values from another table.
demo:db<>fiddle
insert into store_properties (property, store_id)
values
('ice cream', (select id from store where postcode='SW1A 1AA')),
('petrol', (select id from store where property='EC1N 2RN'))
There were some missing braces. Each data set has to be surrounded by braces and the SELECT statements as well.
I don't know your table structure but maybe there is another error: The first data set is filtered by a postcode column, the second one by a property column...
I am trying to create a query that will read all rows in table 1 and show them concatenated as if they are one word.
I tried different solutions with no luck.
Imagine a table (CUSTOMER) contains 3 rows (CUST1, CUST2, CUST3)
I want the result of a select statement to give me(CUST1CUST2CUST3) as one row
Notes: I cant use procedures, and if possible the statement should be in PostgreSQL please.
Thanks,
You can use string_agg function to concat rows in postgresql as follow :
SELECT id, string_agg(employee, '')
FROM CUSTOMER
GROUP BY id;
I am aggregation a table using file ID field. Each file has a name which matched exactly one (his) file id.
select file_key, min(fullfilepath)
from table
group by file_key
Because I know the structure of the table, I know that I need ANY fullfilepath. The min and the max are ok, but it requires a lot of time.
I came across this aggregation function which returns the first value. Unfortunately, this function takes a long time, because it scans the whole table. For example, this is very slow:
select first(file_id) from table;
What is the fastest way to do that? With or without aggregation function.
There is no way to make your first query with the GROUP BY clause faster, because it has to scan the whole table to find all groups.
Your second query can be made faster:
SELECT (
SELECT file_id FROM "table"
WHERE file_id IS NOT NULL
LIMIT 1
);
There is no way to optimize the query as you wrote it, because the aggregate function is a black box to PostgreSQL.
I doubt that this will help performance but it may be useful if anyone actually wants a first agregate.
-- coaslesce isn't a function so make an equivalent function.
create function coalesce_("anyelement","anyelement") returns "anyelement"
language sql as $$ select coalesce( $1,$2 ) $$;
create aggregate first("anyelement") (sfunc=coalesce_, stype="anyelement");
select
distinct on (file_key)
file_key, fullfilepath
from table
order by file_key
That will return one record for each file_key
I have to create a named query where I need to group my results by some fields and also using an IN clause to limit my results.
The it looks something like this
SELECT new MyDTO(e.objID) FROM Entity e WHERE e.objId IN (:listOfIDs) GROUP BY e.attr1, e.attr2
I'm using OpenJPA and IBM DB2. In some cases my List of IDs can be very large (>80.000 IDs) and then the generated SQL statement becomes too complex for DB2, because the final generated statement prints out all IDs, like this:
SELECT new MyDTO(e.objID) FROM Entity e WHERE e.objId IN (1,2,3,4,5,6,7,...) GROUP BY e.attr1, e.attr2
Is there any good way to handle this kind of query? A possible Workaround would be to write the IDs in a temporary table and then using the IN clause on this table.
You should put all of the values in a table and rewrite the query as a join. This will not only solve your query problem, it should be more efficient as well.
declare global temporary table ids (
objId int
) with replace on commit preserve rows;
--If this statement is too long, use a couple of insert statements.
insert into session.ids values
(1,2,3,4,....);
select new mydto(e.objID)
from entity e
join session.ids i on
e.objId = i.objId
group by e.attr1, e.attr2;
I have the following schema dataset which i want to transform into a table that can be exported to SQL. I am using HIVE. Input as follows
call_id,stat1,stat2,stat3
1,a,b,c,
2,x,y,z,
3,d,e,f,
1,j,k,l,
The output table needs to have call_id as its primary key so it needs to be unique. The output schema should be
call_id,stat2,stat3,
1,b,c, or (1,k,l)
2,y,z,
3,e,f,
The problem is that when i use the keyword DISTINCT in the HIVE query, the DISTINCT applies to the all the colums combined. I want to apply the DISTINCT operation only to the call_id. Something on the lines of
SELECT DISTINCT(call_id), stat2,stat3 from intable;
However this is not valid in HIVE(I am not well-versed in SQL either).
The only legal query seems to be
SELECT DISTINCT call_id, stat2,stat3 from intable;
But this returns multiple rows with same call_id as the other columns are different and the row on the whole is distinct.
NOTE: There is no arithmetic relation between a,b,c,x,y,z, etc. So any trick of averaging or summing is not viable.
Any ideas how i can do this?
One quick idea,not the best one, but will do the work-
hive>create table temp1(a int,b string);
hive>insert overwrite table temp1
select call_id,max(concat(stat1,'|',stat2,'|',stat3)) from intable group by call_id;
hive>insert overwrite table intable
select a,split(b,'|')[0],split(b,'|')[1],split(b,'|')[2] from temp1;
,,I want to apply the DISTINCT operation only to the call_id"
But how will then Hive know which row to eliminate?
Without knowing the amount of data / size of the stat fields you have, the following query can the job:
select distinct i1.call_id, i1.stat2, i1.stat3 from (
select call_id, MIN(concat(stat1, stat2, stat3)) as smin
from intable group by call_id
) i2 join intable i1 on i1.call_id = i2.call_id
AND concat(i1.stat1, i1.stat2, i1.stat3) = i2.smin;