Moving average on other window function redshift - sql

Question

I got stuck in a problem and need help on this
I have a table like this:
created_time_id | txn_src
1-1-2017 | A
1-1-2017 | A
1-1-2017 | B
1-1-2017 | A
1-1-2017 | C
2-1-2017 | A
2-1-2017 | C
2-1-2017 | B
2-1-2017 | A
3-1-2017 | A
3-1-2017 | A
3-1-2017 | C
In redshift, I have to create a moving average column for the above table along with the source count partition by date
currently I have written the below query
select
txn_src,
created_time_id::char(8)::date as "time",
count_payment
from
(
select
txn_src,
created_time_id,
count(1) as count_payment,
row_number() over (partition by created_time_id
order by
count(1) desc) as seqnum
from
my_table
where
created_time_id >= '1-1-2017' and txn_source is not null
group by
1,
2
) x
where
seqnum <= 10
order by
"time" ,
count_payment desc
This gives me the correct output like
1-1-2017 | A | 3
1-1-2017 | B | 1
and so on
I need moving average like this
time |src|cnt|mvng_avg
1-1-2017 | A | 3 |3
1-1-2017 | B | 1 |1
1-1-2017 | C | 1 |1
2-1-2017 | A | 2 |2.5
and so on ..
Can anybody suggest some good solution for this.

Answer 1

After some struggle, I was able to resolve this using below query.
with txn_source_by_date as (
select
txn_source ,
created_time_id,
count(1) as count_payment,
row_number() over (partition by created_time_id
order by
count(1) desc) as seqnum
from
my_table
where
created_time_id >= 20220801
and txn_source is not null
group by
1,
2
)
select
txn_source,
created_time_id::char(8)::date as "time",
count_payment,
avg(count_payment) over (partition by txn_source
order by
created_time_id rows between 29 preceding and current row ) mvng_avg
from
txn_source_by_date
group by
txn_source,
created_time_id,
count_payment
order by
"time",
txn_source