Netezza SQL For Loop - sql

Question

I have the following query Which I will call query1:
with a as (
select customer_key as cust,
sum(sales)*1.0/4 as avg_sales
sum(returns)*1.0/4 as avg_return
count(distinct order_key)*1.04 as avg_num_orders
from orders_table
where purch_year between 2011 and 2014
group by cust
order by random()
),
b as (
select *
from a
where avg_num_orders > .25
limit 100000
)
select case
when avg_num_orders <= 1 then 'Low'
when avg_num_orders between 1 and 4 then 'Medium'
when avg_num_orders > 4 then 'High'
end as estimated_frequency,
count(cust) as num_purchasers_year,
sum(avg_num_orders) as num_orders_year,
avg(avg_num_orders) as avg_num_order_year,
sum(avg_sales) as avg_sales_year,
sum(avg_total_return) as avg_return_year,
avg_sales_year/num_orders_year as AOV,
avg_sales_year/num_purchasers_year as ACS,
stddev(avg_sales) as sales_stddev
from b
where avg_num_orders > .25
group by estimated_frequency
order by estimated_frequency;
I want to write code that does the following (this is what does not work, I have provided pseudocode). I do not have permission to create a procedure.
Create table temp1
for i in 1..100 loop
insert into temp1 the result of QUERY1
end loop
then
select estimated_frequency,
avg(acs),
avg(sales_stddev)
from temp1
group by estimated_frequency
Essentially, I want to run query1 100 times, and store the results in a table called temp1, and then compute some averages on temp1 once i am all said and done.
Thank you for your help

Answer 1

I would have added this as a comment but don't have enough rep.
The only option I can see is to do this outside of Netezza and write your loop in a batch file/shell script/Python script/...
I tried the following but note that this does NOT work because the random number is generated only once and then reused, so you get 100 identical samples.
-- Test view which gives some random data from an existing table.
create view my_view as
select
m.*
from my_table t
join (
select (floor(random()*10)+1)::integer rand_id -- assuming I have ids from 1 to 10
) x on x.rand_id = t.id;
create table results (id integer, data double precision);
insert into results
select v.*
from my_view v
cross join table(generate_series(1,100));
Generate_series is a user-defined table function that you can get from the Enzee Community website.